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citation_id=CR48\ncitation_journal_title=Fuel; citation_title=Compositional controls on nanopore structure in different shale lithofacies: a comparison with pure clays and isolated kerogens; citation_author=Y Yuan, R Rezaee, H Yu, J Zou, K Liu, Y Zhang; citation_volume=303; citation_publication_date=2021; citation_doi=10.1016\u002Fj.fuel.2021.121079; citation_id=CR49\ncitation_journal_title=Int J Rock Mech Min Sci; citation_title=Influence of cooling rate on thermal degradation of physical and mechanical properties of granite; citation_author=F Zhang, YH Zhang, YD Yu, DW Hu, JF Shao; citation_volume=129; citation_publication_date=2020; citation_doi=10.1016\u002Fj.ijrmms.2020.104285; citation_id=CR50\ncitation_journal_title=Geomech Geophys Geo-Energ Geo-Resour; citation_title=Evolution of mechanical properties of granite at high temperature and high pressure; citation_author=YS Zhao, ZJ Wan, ZJ Feng, ZH Xu, WG Liang; citation_volume=3; citation_publication_date=2017; citation_pages=199-210; citation_doi=10.1007\u002Fs40948-017-0052-8; citation_id=CR51\ncitation_journal_title=Mar Petrol Geol; citation_title=Pore structure characterization of shales using synchrotron SAXS and NMR cryoporometry; citation_author=Y Zhao, L Peng, S Liu, B Cao, Y Sun, B Hou; citation_volume=102; citation_publication_date=2019; citation_pages=116-125; citation_doi=10.1016\u002Fj.marpetgeo.2018.12.041; citation_id=CR52\ncitation_journal_title=Acta Geodynamica Et Geomaterialia; citation_title=Quantitative analysis of the influence of temperature and confining pressure on brittleness of granite: a review; citation_author=F Zhao, Q Sun, WQ Zhang; citation_volume=17; citation_publication_date=2020; citation_pages=39-50; citation_doi=10.13168\u002FAGG.2020.0003; citation_id=CR53\ncitation_journal_title=J Nat Gas Sci Eng; citation_title=Quantification of pore modification in coals due to pulverization using synchrotron small angle X-ray scattering; citation_author=Y Zhao, T Liu, NN Danesh, Y Sun, S Liu, Y Wang; citation_volume=84; citation_publication_date=2020; citation_doi=10.1016\u002Fj.jngse.2020.103669; citation_id=CR54\ncitation_journal_title=Int J Coal Geol; citation_title=Characterization of pore-fracture networks and their evolution at various measurement scales in coal samples using X-ray μCT and a fractal method; citation_author=HW Zhou, JC Zhong, WG Ren, XY Wang, HY Yi; citation_volume=189; citation_publication_date=2018; citation_pages=35-49; citation_doi=10.1016\u002Fj.coal.2018.02.007; citation_id=CR55\ncitation_journal_title=China Mar Petrol Geol; citation_title=Micro\u002Fnanoscale pore structure and fractal characteristics of tight gas sandstone: A case study from the Yuanba area, Northeast Sichuan Basin; citation_author=F Zhu, WX Hu, J Cao, FN Sun, YF Liu, ZM Sun; citation_volume=98; citation_publication_date=2018; citation_pages=116-132; citation_doi=10.1016\u002Fj.marpetgeo.2018.08.013; citation_id=CR56",{"EN":181},"The effect of high temperature on the microstructure and mechanical behavior of rocks is a fundamental issue relevant to the exploitation of underground oil and gas resources, underground disposal of highly radioactive nuclear waste, and the development of geothermal energy. In this study, samples of argillaceous sandstone are subjected to high-temperature treatments (i.e., 25 ºC, 300 ºC, 600 ºC, 900 ºC, 1000 ºC, and 1200 ºC) followed by a series of uniaxial compression tests. Qualitative and quantitative analyses of the microscopic structures of the samples are carried out using scanning electron microscopy (SEM), low-field nuclear magnetic resonance (LF-NMR) and micron-scale computed tomography (µ-CT). Thermal damage defined by porosity is established and used to describe the evolution of rock damage over the temperature increase. After the high-temperature treatments, LF-NMR results indicate that small and medium pores consistently dominate the structure, with pore volumes of up to 98.8% to 100%. µ-CT test results show that the distribution frequency of medium pores is 16.5–28.3% and that of large pores is 71.7–83.5%. The µ-CT porosity ranges from 11.1 to 15.2% and the LF-NMR porosity ranges from 18.9 to 26.3%. When subjected to the same temperature, the µ-CT porosity is generally smaller than the LF-NMR porosity. When the temperature is increased, the peak stress and elastic modulus increases first and then decreases, while the peak strain decreases first and then increases. Test results of three mechanical parameters all indicate that 300 ºC is probably the threshold temperature of the test rock type, and the SEM, LF-NMR and µ-CT test results confirm this temperature. The relationship between thermal damage and temperature suggests that the argillaceous sandstone evolves through strengthening, damage derivation, and damage development as applied temperature increases.",{"EN":183},"Exploration of microstructure characteristics and mechanical behaviors of thermal-damaged argillaceous sandstone via LF-NMR and µ-CT technologies",{"VOID":185},"10.1007\u002Fs40948-023-00535-1","PUBLICATION","VERIFIED","Auto Verify","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs40948-023-00535-1","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs40948-023-00535-1.pdf",[192,218],{"id":193,"sortIndex":21,"researcher":20,"roles":194,"affiliations":196,"properties":215},"95ddc11b-f657-448e-81e1-6c28fa22e323",[195],"AUTHOR",[197,205],{"id":20,"sortIndex":21,"affiliation":198,"properties":20},{"id":199,"createTime":200,"updateTime":200,"relativeEntities":201,"slug":20,"properties":202,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"a5f2977d-d67f-43bb-914f-341d24b070ce","2024-01-21T01:07:14.793+00:00",[],{"title":203},{"VI":204},"State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou, People’s Republic of China",{"id":206,"sortIndex":155,"affiliation":207,"properties":214},"ed77fe36-7c35-40f5-a631-12d89f825f77",{"id":208,"createTime":209,"updateTime":209,"relativeEntities":210,"slug":20,"properties":211,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"4fbcfb5e-db9e-4b8e-8fb9-0cf2fb288960","2024-02-23T01:43:39.400+00:00",[],{"title":212},{"VI":213},"Aviation Engineering School, Air Force Engineering University, Xi′an, People’s Republic of China",{},{"title":216},{"VI":217},"Liu, Shi",{"id":219,"sortIndex":155,"researcher":20,"roles":220,"affiliations":221,"properties":227},"d11d744d-941d-48bf-b05a-4f264e4d2aa3",[195],[222],{"id":20,"sortIndex":21,"affiliation":223,"properties":20},{"id":208,"createTime":209,"updateTime":209,"relativeEntities":224,"slug":20,"properties":225,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":226},{"VI":213},{"title":228},{"VI":229},"Huang, Zhe","ARTICLE",{"url":189,"publisher":232,"properties":260},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":233,"slug":10,"properties":234,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":238,"manageAffiliations":239,"indexDatabases":240,"url":20,"thumbnailPath":20,"statistic":255,"gsStatistic":20,"type":20,"analyzePriority":20},[],{"issn":235,"eissn":236,"title":237},{"VOID":13},{"VOID":15},{"EN":17},[],[],[241,248],{"id":82,"indexDatabase":242,"url":97,"indexYears":20,"academicFieldIds":247,"indexDatabaseRanking":20},{"id":84,"createTime":85,"updateTime":86,"relativeEntities":243,"label":244,"description":245,"key":93,"publicationTags":246,"standard":20},[],{"EN":89,"VI":89},{"VI":91,"EN":92},[95,96],[99,100,101],{"id":103,"indexDatabase":249,"url":116,"indexYears":117,"academicFieldIds":254,"indexDatabaseRanking":123},{"id":105,"createTime":106,"updateTime":107,"relativeEntities":250,"label":251,"description":252,"key":113,"publicationTags":253,"standard":20},[],{"EN":110,"VI":110},{"EN":110,"VI":112},[115],[119,120,121,122],{"impactFactor":21,"impactFactorByYear":256,"i10Index":133,"i10IndexLast5Year":134,"totalPublication":135,"totalPublicationByYear":257,"totalCitation":145,"totalCitationByYear":258,"totalCitationPerPublication":156,"totalCitationPerPublicationByYear":259,"hindexLast5Year":137,"hindex":137},{"2017":126,"2018":127,"2019":128,"2020":129,"2021":130,"2022":131,"2023":132},{"2015":66,"2016":137,"2017":138,"2018":66,"2019":139,"2020":140,"2021":141,"2022":142,"2023":143,"2024":144},{"2016":147,"2017":148,"2018":149,"2019":150,"2020":151,"2021":152,"2022":153,"2023":154,"2024":155},{"2016":158,"2017":159,"2018":160,"2019":161,"2020":162,"2021":163,"2022":164,"2023":165,"2024":166},{"volume":261,"pages":263,"issue":265},{"VOID":262},"9",{"VOID":264},"1-20",{"VOID":266},"1","2023-12-01",2023,false,{"id":271,"createTime":272,"updateTime":273,"relativeEntities":274,"slug":275,"properties":276,"entityType":186,"verifyStatus":19,"verifyTime":285,"verifyNote":286,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":287,"fullTextUrl":20,"authors":288,"publicationType":230,"publisherRelationship":447,"citationCount":20,"citationInfo":20,"publishDate":481,"publishYear":482,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":269},"cfdbca08-aac1-4bc9-9c1b-8a95f724948c","2024-02-14T01:01:22.658+00:00","2025-01-15T23:55:58.047+00:00",[],"Non-linear-elastic-behavior-and-constitutive-model-of-coal-during-compression-and-its-application",{"references":277,"abstract":279,"title":281,"doi":283},{"VOID":278},"Ban L, Du W, Qi C (2020a) A peak dilation angle model considering the real contact area for rock joints. Rock Mech Rock Eng. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00603-020-02193-1\nBan L, Du W, Qi C (2020) A modified roughness index based on the root mean square of the first derivative and its relationship with peak shear strength of rock joints. Eng Geol 279:105898. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.enggeo.2020.105898\nCai M, Kaiser PK, Tasaka Y et al (2004) Generalized crack initiation and crack damage stress thresholds of brittle rock masses near underground excavations. Int J Rock Mech Min Sci 41:833–847\nCook NGW, Hodgson K (1965) Some detailed stress-strain curves for rock. J Geophys Res 70:2883–2888\nFujii Y, Makasi M, Kodama J et al (2018) Tangent modulus method – an original method to measure in-situ rock stress. Tunn Undergr Sp Technol 82:148–155. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.tust.2018.08.005\nGerrard CM (1982) Equivalent elastic moduli of a rock mass consisting of orthorhombic layers. Int J Rock Mech Min Sci Geomech Abstr 19:9–14. https:\u002F\u002Fdoi.org\u002F10.1016\u002F0148-9062(82)90705-7\nGerrard CM (1982) Elastic models of rock masses having one, two and three sets of joints. Int J Rock Mech Min Sci Geomech Abstr 19:15–23. https:\u002F\u002Fdoi.org\u002F10.1016\u002F0148-9062(82)90706-9\nGupta AS, Rao KS (2000) Weathering effects on the strength and deformational behaviour of crystalline rocks under uniaxial compression state. Eng Geol 56:257–274\nHao X, Du W, Jiang Y et al (2018) Influence of bedding and cleats on the mechanical properties of a hard coal. Arab J Geosci 11:200\nHao X, Du W, Zhao Y et al (2020) Dynamic tensile behaviour and crack propagation of coal under coupled static-dynamic loading. Int J Min Sci Technol. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijmst.2020.06.007\nHao X, Zhang Q, Sun Z et al (2021) Effects of the major principal stress direction respect to the long axis of a tunnel on the tunnel stability: physical model tests and numerical simulation. Tunnell Undergr Space Technol 114:103993\nHao X, Wei Y, Yang K et al (2021) Anisotropy of crack initiation strength and damage strength of coal reservoirs. Pet Explor Dev 48(1):243–255\nHawkes I, Mellor M, Gariepy S (1973) Deformation of rocks under uniaxial tension. Int J Rock Mech Min Sci Geomech Abstr 10:493–507. https:\u002F\u002Fdoi.org\u002F10.1016\u002F0148-9062(73)90001-6\nHsieh A, Dyskin AV, Dight P (2014) The increase in Young's modulus of rocks under uniaxial compression. Int J Rock Mech Min Sci 70:425–434\nHuang TH, Chang CS, Yang ZY (1995) Elastic moduli for fractured rock mass. Rock Mech Rock Eng 28:135–144. https:\u002F\u002Fdoi.org\u002F10.1007\u002FBF01020148\nKemeny J, Cook NGW (1986) Effective moduli, non-linear deformation and strength of a cracked elastic solid. Int J Rock Mech Min Sci Geomech Abstr 23:107–118. https:\u002F\u002Fdoi.org\u002F10.1016\u002F0148-9062(86)90337-2\nKim E, Changani H (2016) Effect of water saturation and loading rate on the mechanical properties of Red and Buff Sandstones. Int J Rock Mech Min Sci 88:23–28\nLaubach SE, Marrett RA, Olson JE, Scott AR (1998) Characteristics and origins of coal cleat: a review. Int J Coal Geol 35:175–207. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0166-5162(97)00012-8\nLi HB, Zhao J, Li TJ (1999) Triaxial compression tests on a granite at different strain rates and confining pressures. Int J Rock Mech Min Sci 36:1057–1063\nLi X-C, Bai B, Tang LZ, Guo Q (2010) Triaxial tests of coal under low and high confining pressures and its plastic characteristics description. Rock Soil Mech 31:677–682\nLi G, Li X, Cai B (2009) Triaxial compression test of outburst and non-outburst coal samples. In: Chongqing institute of mechanics academic annual meeting. pp 46–49\nLiu, KD, Liu, QS, Zhu, YG et al (2013) Experimental study of coal considering directivity effect of bedding plane under brazilian splitting and uniaxial compression. Chin J Rock Mech Eng 32(2):308–316\nLiu Q, Liu K, Zhu J, Xingli LU (2014) Study of mechanical properties of raw coal under high stress with triaxial compression. Chin J Rock Mech Eng 33:24–34\nLiu WV, Apel DB, Bindiganavile VS (2016) Cylindrical models of heat flow and thermo-elastic stresses in underground tunnels. Int J Numer Methods Heat Fluid Flow 26:2139–2159\nNicksiar M, Martin CD (2013) Crack initiation stress in low porosity crystalline and sedimentary rocks. Eng Geol 154:64–76\nRajagopal KR (2018) A note on the linearization of the constitutive relations of non-linear elastic bodies. Mech Res Commun 93:132–137\nSalamon MDG (1968) Elastic moduli of a stratified rock mass. Int J Rock Mech Min Sci Geomech Abstr 5:519–527. https:\u002F\u002Fdoi.org\u002F10.1016\u002F0148-9062(68)90039-9\nSingh M, Singh B, Choudhari J (2007) Critical strain and squeezing of rock mass in tunnels. Tunn Undergr Sp Technol 22:343–350. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.tust.2006.06.005\nSu X, Feng Y, Chen J, Pan J (2001) The characteristics and origins of cleat in coal from Western North China. Int J Coal Geol 47:51–62. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0166-5162(01)00026-X\nSu C, Zhai X, Li Y et al (2006) Study on deformation and strength of coal samples in triaxial compression. Chin J Rock Mech Eng 25:2963–2968\nSun H, Liu XL, Zhu JB (2019) Correlational fractal characterisation of stress and acoustic emission during coal and rock failure under multilevel dynamic loading. Int J Rock Mech Min Sci 117:1–10\nSun H, Du W, Liu C (2021a) Uniaxial compressive strength determination of rocks using X-ray computed tomography and convolutional neural networks. Rock Mech Rock Eng 54:4225–4237. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00603-021-02503-1\nSun H, Liu X, Ye Z, Wang E (2021b) Experimental investigation of the nonlinear evolution from pipe flow to fissure flow during carbonate rock failures. Bull Eng Geol Environ. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10064-021-02210-9\nSzwilski AB (1984) Determination of the anisotropic elastic moduli of coal. Int J Rock Mech Min Sci Geomech Abstr 21:3–12. https:\u002F\u002Fdoi.org\u002F10.1016\u002F0148-9062(84)90004-4\nWang T-T, Huang T-H (2009) A constitutive model for the deformation of a rock mass containing sets of ubiquitous joints. Int J Rock Mech Min Sci 46:521–530. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijrmms.2008.09.011\nWasantha PLP, Ranjith PG, Zhao J et al (2015) Strain rate effect on the mechanical behaviour of sandstones with different grain sizes. Rock Mech Rock Eng 48:1883–1895. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00603-014-0688-4\nYang YJ, Song Y, Chen SJ (2006) Test study of coal’s strength and deformation characteristics under triaxial compression. J China Coal Soc 31:150–153\nZhang J, Chi A, Li YW et al (2018) Energy-based brittleness index and acoustic emission characteristics of anisotropic coal under triaxial stress condition. Rock Mech Rock Eng 51(11):3343–3360\nZhao XG, Cai M, Wang J, Ma LK (2013) Damage stress and acoustic emission characteristics of the Beishan granite. Int J Rock Mech Min Sci 64:258–269. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijrmms.2013.09.003",{"EN":280},"The widely distributed fracture system in coal results in significant non-linear characteristics in the compaction stage during the compression process. This stage occupies one-third of the entire compression process of coal, and is a key stage in the coal compression process. A non-linear elastic model based on the hyperbola was established to investigate the axial and lateral deformation of coal during the compaction stage in the present study. Four new modeling parameters were proposed: initial tangent modulus a, the reciprocal b of the axial strain at which the main stress difference tends to infinity, the initial Poisson’s ratio f, and the reciprocal D of the axial strain when the lateral strain tends to infinity. The method of determining the relevant parameters of the model was proposed by using the least square method. The effects of bedding and confining pressure on the non-linear mechanical behavior of coal were quantified. Bedding mainly affects the initial tangent modulus and initial Poisson’s ratio of coal. The increase of triaxial confining pressure will significantly weaken the non-linear deformation characteristics of coal. A non-linear elastic model was introduced into FLAC3D, and the analysis results of the non-linear elastic model were compared with the traditional linear elastic model. The proposed model can better simulate the non-linear behavior of coal under compression. This model was applied in the analysis of coal tunnel displacement and shows potential for engineering application. \n                  \n                    \n                      \n                    \n                    \n                      \n                    \n                    \n                      \n                    \n                    \n                      \n                    \n                    \n                      \n                    \n                  \n                ",{"EN":282},"Non-linear elastic behavior and constitutive model of coal during compression and its application",{"VOID":284},"10.1007\u002Fs40948-021-00317-7","2025-01-15T23:55:58.046+00:00","Author affiliation is 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China",{},{"id":305,"sortIndex":306,"affiliation":307,"properties":314},"326cc2ed-5fef-4d02-86fc-c9e2e89cf72f",2,{"id":308,"createTime":309,"updateTime":309,"relativeEntities":310,"slug":20,"properties":311,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"576a24de-f8d5-4f6c-902d-e206c6b32096","2024-01-12T18:00:01.775+00:00",[],{"title":312},{"VI":313},"State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Beijing, China",{},{"id":20,"sortIndex":21,"affiliation":316,"properties":20},{"id":317,"createTime":318,"updateTime":318,"relativeEntities":319,"slug":20,"properties":320,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"855d6fcb-ea07-41fd-909c-65cf152fa9d5","2024-01-08T05:15:58.439+00:00",[],{"title":321},{"VI":322},"Beijing Key Laboratory for Precise Mining of Intergrown Energy and Resources, China University of Mining and Technology-Beijing, Beijing, China",{"id":324,"sortIndex":155,"affiliation":325,"properties":332},"9c9be6df-cf9e-45fd-9f25-9c5e4cb63564",{"id":326,"createTime":327,"updateTime":327,"relativeEntities":328,"slug":20,"properties":329,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"9a7ad020-763c-4db3-8030-0f5ad99bc405","2024-02-14T01:01:22.702+00:00",[],{"title":330},{"VI":331},"State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, Beijing, China",{},{"title":334},{"VI":335},"XianJie 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Phys Fluids 9:1591–1598. https:\u002F\u002Fdoi.org\u002F10.1063\u002F1.869307",{"EN":1068},"Fluid flow through rock media is highly significant in underground water management, the geothermal recovery process, and various underground engineering applications. Fractures have a critical effect on the fluid flow through low-permeability rocks since they serve as the major flow channels in the rock formation. Consequently, the evaluation of fracture permeability is crucial to many engineering applications, such as the geothermal recovery process, exploitation of hydrocarbon resources, and various underground engineering applications. However, fluid flow through rough fractures is complex under the effects of rough profiles and variable apertures. The variation of fracture apertures causes the nonlinear distribution of the pressure along the fracture and thus intensifies the difficulties of studying the flow in fractures. In this study, variable-aperture fractures were simplified as axisymmetric fractures using the Weierstrass–Mandelbrot function. To address the nonlinear distribution of pressure caused by aperture variations, a method is proposed to segment fractures with variable lengths by considering the weights of fracture apertures. With the segmented results, we evaluated the permeability of rough fractures using a modified local law. The evaluation results aligned with the lattice Boltzmann simulation results. Finally, combining the analytical solution of flow through asymmetric fractures with sinusoidal profiles, the proposed methods were thereby validated.",{"EN":1070},"Quantitative characterization of single-phase flow through rough-walled fractures with variable 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University of Mining and Technology), Xuzhou, China",{"id":1091,"sortIndex":155,"affiliation":1092,"properties":1101},"7f63e53b-1edd-4f7b-9576-841518e76e81",{"id":1093,"createTime":1094,"updateTime":1095,"relativeEntities":1096,"slug":1097,"properties":1098,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"06cce87c-6511-45b3-a4e8-ae271a6a6ec7","2024-01-08T19:21:42.743+00:00","2025-06-11T19:51:34.513+00:00",[],"State-Key-Laboratory-of-Coal-Resources-and-Safe-Mining-China-University-of-Mining-and-Technology-Beijing-Beijing-China",{"title":1099},{"VI":1100},"State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology (Beijing), Beijing, China",{},{"id":1103,"sortIndex":295,"affiliation":1104,"properties":1113},"24b7d039-b4cf-478d-bb77-949f20f43fe1",{"id":1105,"createTime":1106,"updateTime":1107,"relativeEntities":1108,"slug":1109,"properties":1110,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"09593507-96fe-489f-9aa4-0d4171a81447","2024-01-20T21:42:49.926+00:00","2025-06-11T22:17:49.925+00:00",[],"State-Key-Laboratory-for-Geomechanics-and-Deep-Underground-Engineering-State-Key-Laboratory-of-Coal-Resources-and-Safe-Mining-China-University-of-Mining-and-Technology-Beijing-China",{"title":1111},{"VI":1112},"State Key Laboratory for Geomechanics and Deep Underground Engineering, State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Beijing, China",{},{"id":1115,"sortIndex":306,"affiliation":1116,"properties":1123},"c57c5960-e2a5-4017-a07e-f4f35a3b99b9",{"id":1117,"createTime":1118,"updateTime":1118,"relativeEntities":1119,"slug":20,"properties":1120,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"4d45a883-0d85-437d-9fd4-8aee890b3eac","2024-01-20T21:42:49.921+00:00",[],{"title":1121},{"VI":1122},"Frontier Science Research for Fluidized Mining of Deep Underground Resources, China University of Mining and Technology, Xuzhou, China",{},{"title":1125},{"VI":1126},"Yang 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Transp Porous Media 105(2):371–389\nLothe AE, Gabrielsen RH, Hagen NB, Larsen BT (2002) An experimental study of the texture of deformation bands: effects on the porosity and permeability of sandstones. Pet Geosci 8(3):195–207. https:\u002F\u002Fdoi.org\u002F10.1144\u002Fpetgeo.8.3.195\nMain I, Mair K, Kwon O, Elphick S, Ngwenya B (2001) Experimental constraints on the mechanical and hydraulic properties of deformation bands in porous sandstones: a review. Geol Soc Lond Spec Publ 186(1):43–63. https:\u002F\u002Fdoi.org\u002F10.1144\u002FGSL.SP.2001.186.01.04\nMeng Z, Shi X, Li G (2016) Deformation, failure and permeability of coal-bearing strata during longwall mining. Eng Geol 208(1):69–80. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.enggeo.2016.04.029\nNi XY, Chen ZQ, Wang P et al (2018) Experimental investigation of the influence of differential stress, confining pressure and strain on aquifer sandstone permeability[J]. Eur J Environ Civil Eng 2018:1–16\nPan Z, Connell LD (2012) Modelling permeability for coal reservoirs: a review of analytical models and testing data - ScienceDirect. Int J Coal Geol 92(1):1–44. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.coal.2011.12.009\nRamandi HL, Mostaghimi P, Armstrong RT, Saadatfar M, Pinczewski WV (2016) Porosity and permeability characterization of coal: a micro-computed tomography study. Int J Coal Geol 154(15):57–68. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.coal.2015.10.001\nRobertson EP, Christiansen RL (2007) Modeling laboratory permeability in coal using sorption-induced strain data. SPE Reserv Eval Eng 10(03):260–269. https:\u002F\u002Fdoi.org\u002F10.2118\u002F97068-PA\nSelvadurai APS, Głowacki A (2010) Permeability hysterisis of limestone during isotropic compression. Groundwater 46(1):113–119. https:\u002F\u002Fdoi.org\u002F10.1111\u002Fj.1745-6584.2007.00390.x\nSheng M, Mabi A, Lu X (2021) Study on permeability of deep-buried sandstone under triaxial cyclic loads[J]. Adv Civil Eng 7:1–9. https:\u002F\u002Fdoi.org\u002F10.1155\u002F2021\u002F6635245\nSun WB, Xue Y, Yin L, Zhang J (2019) Experimental study on seepage characteristics of large size rock specimens under three-dimensional stress. Geomech Eng. https:\u002F\u002Fdoi.org\u002F10.12989\u002Fgae.2019.18.6.567\nTakeda M, Manaka M (2018) Effects of confining stress on the semipermeability of siliceous mudstones: Implications for identifying geologic membrane behaviors of argillaceous formations. Geophys Res Lett. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2018GL078591\nVajdova V, Baud P, Wong TF (2004) Permeability evolution during localized deformation in Bentheim sandstone. J Geophys Res Solid Earth. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2003JB002942\nWalsh JB (1981) Effect of pore pressure and confining pressure on fracture permeability. Int J Rock Mech 18(5):429–435. https:\u002F\u002Fdoi.org\u002F10.1016\u002F0148-9062(81)90006-1\nWang JA, Park HD (2002) Fluid permeability of sedimentary rocks in a complete stress–strain process. Eng Geol 63(3–4):291–300. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0013-7952(01)00088-6\nWang J, Ning J, Qiu P, Yang S, Shang H (2019) Microseismic monitoring and its precursory parameter of hard roof collapse in longwall faces: a case study. Geomech Eng 17(4):375–383. https:\u002F\u002Fdoi.org\u002F10.12989\u002Fgae.2019.17.4.375\nWierzbicki M, KonecNy P, Kožušníková A (2014) Permeability changes of coal cores and briquettes under tri-axial stress conditions. Arch Min Sci 59(4):1131–1140. https:\u002F\u002Fdoi.org\u002F10.2478\u002Famsc-2014-0079\nXin C, Du F, Wang K et al (2021) Damage evolution analysis and gas–solid coupling model for coal containing gas[J]. Geomech Geophys Geo-Energy Geo-Resour. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs40948-020-00205-6\nXue W, Yao Z, Jing W, Tang B, Kong G, Wu H (2019) Experimental study on permeability evolution during deformation and failure of shaft lining concrete. Constr Build Mater 195(20):564–573. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.conbuildmat.2018.11.101\nYang R, Ma D, Yang Y (2019) Experimental investigation of energy evolution in sandstone failure during triaxial unloading confining pressure tests. Adv Civil Eng 6:1–11. https:\u002F\u002Fdoi.org\u002F10.1155\u002F2019\u002F7419752\nZhang Z, Zhang Q, Duan K et al (2021) Experimental study on the mechanical and permeability behaviors of limestone under hydro-mechanical-coupled conditions[J]. Bull Eng Geol Environ. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10064-021-02121-9\nZhao YL, Tang JZ, Chen Y, Zhang LY, Wang WJ, Wan W, Liao JP (2016) Hydromechanical coupling tests for mechanical and permeability characteristics of fractured limestone in complete stress–strain process. Environ Earth Sci. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12665-016-6322-x\nZhao YX, Zhu GP, Zhang C, Liu SM, Elsworth D, Zhang T (2018) Pore-scale reconstruction and simulation of non-darcy flow in synthetic porous rocks. J Geophys Res-Solid Earth 123(4):2770–2786. https:\u002F\u002Fdoi.org\u002F10.1002\u002F2017JB015296\nZhi S, Elsworth D (2016) The role of gas desorption on gas outbursts in underground mining of coal[J]. Geomech Geophys Geo-Energy Geo-Resour 2(3):1–21. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs40948-016-0026-2\nZhou H, Hu SC, Lu JJ, Wang ZC, Li Z (2015) In-situ measurement of deformation and failure of surrounding rockmass during whole excavation process of deep coal mine roadway. Rock Soil Mech. https:\u002F\u002Fdoi.org\u002F10.16285\u002Fj.rsm.2015.12.024",{"EN":1185},"The plastic zone of the roof surrounding rock continues to expand after the coal seam mining. The permeability of the surrounding rock under plastic flow is a basic project for water inrush prevention in coal mine. In this work, the permeability experiments were carried out on roof sandstone from Xiaojihan No.2 coal seam under three loading paths. The variations of permeability affected by the confining pressure and axial strain were obtained. In the plastic flow stage, the permeability of roof sandstone was a multivalued function of volumetric strain and confining pressure. The permeability decreased with the increasing confining pressure. As the loading and unloading times increased, permeability was less affected by the confining pressure. and the permeability recovery coefficient increased. Based on the above analysis, the impacts of volume deformation and shear deformation on permeability were analyzed. A permeability model with two coefficients was proposed which was implemented by taking the normal strain and shear strain on the shear plane as independent variables. Through a permeability test with a simple loading path, the optimal estimated value of the permeability influence coefficient was determined by using the Monte Carlo method. It was applied to calculate the permeability under the other two complex loading paths. The calculation results show that the permeability coefficient is the basic attribute of rock materials and irrelevant to the loading path. Essential parameters obtained in this research are useful to analyze the coupled dynamic system’s stable structure of the surrounding rock, and also could serve as theoretical foundations for the water inflow prediction in a coal mine. \n                  \n                    \n                      \n                      \n                    \n                    \n                      \n                      \n                    \n                    \n                      \n                      \n                    \n                    \n                      \n                      \n                    \n                  \n                ",{"EN":1187},"Study on permeability evolution mechanism of aquifer coal seam roof sandstone under plastic flow",{"VOID":1189},"10.1007\u002Fs40948-021-00281-2","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs40948-021-00281-2",[1192,1207,1231,1246],{"id":1193,"sortIndex":306,"researcher":20,"roles":1194,"affiliations":1195,"properties":1204},"303420ad-36cf-453a-b7ce-353d50f39ef8",[195],[1196],{"id":20,"sortIndex":21,"affiliation":1197,"properties":20},{"id":1198,"createTime":1199,"updateTime":1199,"relativeEntities":1200,"slug":20,"properties":1201,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"8aa544d7-bea0-49e9-b33f-9279936ce67b","2024-01-15T08:37:22.787+00:00",[],{"title":1202},{"VI":1203},"The State Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou, China",{"title":1205},{"VI":1206},"Qiang Li",{"id":1208,"sortIndex":21,"researcher":20,"roles":1209,"affiliations":1210,"properties":1228},"968e4d17-c004-4de2-b26d-8609e15b6223",[195],[1211,1218],{"id":1212,"sortIndex":155,"affiliation":1213,"properties":1217},"a590e384-96cf-40d6-a4b5-8e125edf70c9",{"id":1198,"createTime":1199,"updateTime":1199,"relativeEntities":1214,"slug":20,"properties":1215,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1216},{"VI":1203},{},{"id":20,"sortIndex":21,"affiliation":1219,"properties":20},{"id":1220,"createTime":1221,"updateTime":1222,"relativeEntities":1223,"slug":1224,"properties":1225,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"87761c9a-453d-483e-a93f-2b5978387638","2024-04-17T19:53:51.178+00:00","2024-10-08T16:47:31.883+00:00",[],"School-of-Mechanics-and-Civil-Engineering-China-University-of-Mining-and-Technology-Xuzhou-China",{"title":1226},{"EN":1227},"School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China",{"title":1229},{"VI":1230},"Jingna Guo",{"id":1232,"sortIndex":155,"researcher":20,"roles":1233,"affiliations":1234,"properties":1243},"a23cdfed-b842-463e-bfb8-88b494747765",[195],[1235],{"id":20,"sortIndex":21,"affiliation":1236,"properties":20},{"id":1237,"createTime":1238,"updateTime":1238,"relativeEntities":1239,"slug":20,"properties":1240,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"af226c97-ecde-465e-80bf-a150ddade2d6","2024-01-15T08:37:22.776+00:00",[],{"title":1241},{"VI":1242},"Beijing Research Institute of Uranium Geology (BRIUG), Beijing, China",{"title":1244},{"VI":1245},"Qi Zhang",{"id":1247,"sortIndex":295,"researcher":20,"roles":1248,"affiliations":1249,"properties":1255},"2ff6e2f0-0a18-4608-b0f7-f384a5176aca",[195],[1250],{"id":20,"sortIndex":21,"affiliation":1251,"properties":20},{"id":1220,"createTime":1221,"updateTime":1222,"relativeEntities":1252,"slug":1224,"properties":1253,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1254},{"EN":1227},{"title":1256},{"VI":1257},"Zhanqing Chen",{"url":1190,"publisher":1259,"properties":1287},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1260,"slug":10,"properties":1261,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":1265,"manageAffiliations":1266,"indexDatabases":1267,"url":20,"thumbnailPath":20,"statistic":1282,"gsStatistic":20,"type":20,"analyzePriority":20},[],{"issn":1262,"eissn":1263,"title":1264},{"VOID":13},{"VOID":15},{"EN":17},[],[],[1268,1275],{"id":82,"indexDatabase":1269,"url":97,"indexYears":20,"academicFieldIds":1274,"indexDatabaseRanking":20},{"id":84,"createTime":85,"updateTime":86,"relativeEntities":1270,"label":1271,"description":1272,"key":93,"publicationTags":1273,"standard":20},[],{"EN":89,"VI":89},{"VI":91,"EN":92},[95,96],[99,100,101],{"id":103,"indexDatabase":1276,"url":116,"indexYears":117,"academicFieldIds":1281,"indexDatabaseRanking":123},{"id":105,"createTime":106,"updateTime":107,"relativeEntities":1277,"label":1278,"description":1279,"key":113,"publicationTags":1280,"standard":20},[],{"EN":110,"VI":110},{"EN":110,"VI":112},[115],[119,120,121,122],{"impactFactor":21,"impactFactorByYear":1283,"i10Index":133,"i10IndexLast5Year":134,"totalPublication":135,"totalPublicationByYear":1284,"totalCitation":145,"totalCitationByYear":1285,"totalCitationPerPublication":156,"totalCitationPerPublicationByYear":1286,"hindexLast5Year":137,"hindex":137},{"2017":126,"2018":127,"2019":128,"2020":129,"2021":130,"2022":131,"2023":132},{"2015":66,"2016":137,"2017":138,"2018":66,"2019":139,"2020":140,"2021":141,"2022":142,"2023":143,"2024":144},{"2016":147,"2017":148,"2018":149,"2019":150,"2020":151,"2021":152,"2022":153,"2023":154,"2024":155},{"2016":158,"2017":159,"2018":160,"2019":161,"2020":162,"2021":163,"2022":164,"2023":165,"2024":166},{"volume":1288,"pages":1290},{"VOID":1289},"7",{"VOID":480},"2021-07-26",{"id":1293,"createTime":1294,"updateTime":1295,"relativeEntities":1296,"slug":1297,"properties":1298,"entityType":186,"verifyStatus":187,"verifyTime":1295,"verifyNote":188,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":1307,"fullTextUrl":20,"authors":1308,"publicationType":230,"publisherRelationship":1427,"citationCount":20,"citationInfo":20,"publishDate":1459,"publishYear":482,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":269},"bd27aac2-0e72-439b-82ca-eb883b478e1c","2024-01-08T09:15:32.909+00:00","2024-10-22T23:36:38.291+00:00",[],"New-permeability-model-of-deep-coal-rock-considering-the-structure-and-3D-stress-compression-induced-anisotropy",{"references":1299,"abstract":1301,"title":1303,"doi":1305},{"VOID":1300},"Bear J (1972) Dynamic of fluid in porous media 1972. New York.\nBertrand F, Buzzi O, Collin F (2019) Cleat-scale modelling of the coal permeability evolution due to sorption-induced strain. Int J Coal Geol 216:103320\nChen Z, Liu J, Pan Z, Connell LD, Elsworth D (2012) Influence of the effective stress coefficient and sorption-induced strain on the evolution of coal permeability: model development and analysis. Int J Green Gas Control 8:101–110\nChen D, Pan Z, Ye Z (2015) Dependence of gas shale fracture permeability on effective stress and reservoir pressure: model match and insights. Fuel 139:383–392\nChen D, Pan Z, Shi JQ, Si G, Ye Z, Zhang J (2016) A novel approach for modeling coal permeability during transition from elastic to post-failure state using a modified logistic growth function. Int J Coal Geol 163:132–139\nConnell LD, Lu M, Pan Z (2010) An analytical coal permeability model for tri-axial strain and stress conditions. Int J Coal Geol 84(2):103–114\nDuan M, Jiang C, Gan Q, Zhao H, Yang Y, Li Z (2020) Study on permeability anisotropy of bedded coal under true triaxial stress and its application. Transport Porous Media 131(3):1007–1035\nGao H, Zhang D, Lu J, Yin G, Wu M (2020) Experimental Study on Influence of Intermediate Principal Stress on the Permeability of Sandstone. Transport Porous Media 135(3):753–778\nGao M, Xie J, Gao Y, Wang W, Li C, Yang B, Xie H (2021) Mechanical behavior of coal under different mining rates: a case study from laboratory experiments to field testing. Int J Min Sci Technol 31(5):825–841\nGray I (1987) Reservoir engineering in coal seams: Part 1-The physical process of gas storage and movement in coal seams. SPE Reservoir Eng 2(28–34):01\nGuo P, Cheng Y, Jin K, Li W, Tu Q, Liu H (2014) Impact of effective stress and matrix deformation on the coal fracture permeability. Transport Porous Media 103(1):99–115\nJiang C, Zhao Z, Zhang X, Liu J, Elsworth D, Cui G (2020) Controlling effects of differential swelling index on evolution of coal permeability. J Rock Mech Geotech 12(3):461–472\nKaracan CÖ, Ruiz FA, Cotè M, Phipps S (2011) Coal mine methane: a review of capture and utilization practices with benefits to mining safety and to greenhouse gas reduction. Int J of Coal Geol 86(2–3):121–156\nKoenig RA, Stubbs PB (1986) Interference testing of a coalbed methane reservoir. Presented at the Unconventional Gas Technical Symposium. Louisville, Kentucky, 18–21 May. SPE 15225\nLevine JR (1996) Model study of the influence of matrix shrinkage on absolute permeability of coal bed reservoirs. In: Gayer R, Harris I (eds) Coalbed methane and coal geology: geological society special publication 109. London, pp 197–212\nLi MH, Yin GZ, Xu J, Cao J, Song ZL (2016) Permeability evolution of shale under anisotropic true triaxial stress conditions. 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Fuel 266:117083\nLiu T, Lin B, Fu X, Liu S (2020b) A new approach modeling permeability of mining-disturbed coal based on a conceptual model of equivalent fractured coal. J Nat Gas Sci Eng 79:103366\nLiu Q, Li Z, Wang E, Niu Y, Kong X (2020c) A dual-permeability model for coal under tri-axial boundary conditions. J Nat Gas Sci Eng 82:103524\nLiu A, Liu S, Wang G, Sang G (2020d) Modeling of coal matrix apparent strains for sorbing gases using a transversely isotropic approach. Rock Mech Rock Eng 53(9):4163–4181\nLiu H, Yu B, Lin B, Li Q, Mou J, Wang X (2022a) Coupled effective stress and internal stress for modeling coal permeability. Fuel 323:124411\nLiu C, Yu B, Zhao H, Hong Z, Tian Z, Zhang D, Liu Y (2022b) Effective stress effect and slippage effect of gas migration in deep coal reservoirs. Int J Rock Mech Min Sci 155:105142\nLu S, Cheng Y, Li W (2016) Model development and analysis of the evolution of coal permeability under different boundary conditions. J Nat Gas Sci Eng 31:129–138\nLu J, Yin G, Deng B, Zhang W, Li M, Chai X, Liu Y (2019a) Permeability characteristics of layered composite coal-rock under true triaxial stress conditions. J Nat Gas Sci Eng 66:60–76\nLu J, Yin G, Li X, Li M, Zhang D, Zhang W, Kang Q (2019b) Deformation and CO2 gas permeability response of sandstone to mean and deviatoric stress variations under true triaxial stress conditions. Tunn Undergr Sp Tech 84:259–272\nLu J, Huang G, Gao H, Li X, Zhang D, Yin G (2020) Mechanical properties of layered composite coal–rock subjected to true triaxial stress. Rock Mech Rock Eng 53(9):4117–4138\nLu J, Yin G, Zhang D, Li X, Huang G, Gao H (2021) Mechanical properties and failure mode of sandstone specimen with a prefabricated borehole under true triaxial stress condition. Geomech Energy Environ 25:100207\nLu J, Xie H, Li M, Li C, Gao M, Shang D, Li J (2022) Effect of microwave radiation on mechanical behaviors of tight fine sandstone subjected to true triaxial stress. Int J Rock Mech Min Sci 152:105063\nMitra A, Harpalani S, Liu S (2012) Laboratory measurement and modeling of coal permeability with continued methane production: Part 1–Laboratory results. Fuel 94:110–116\nPan Z, Connell LD (2007) A theoretical model for gas adsorption-induced coal swelling. Int J Coal Geol 69(4):243–252\nPini R, Ottiger S, Burlini L, Storti G, Mazzotti M (2009) Role of adsorption and swelling on the dynamics of gas injection in coal. J Geophys Res 114(B4):2415–2440\nReiss LH (1980) The reservoir engineering aspects of fractured formations. Editions Technip\nRobertson EP, Christiansen RL (2007) Modeling laboratory permeability in coal using sorption-induced strain data. SPE Eval Eng 10(03):260–269\nSang SX, Wang R, Zhou XZ, Huang HZ, Liu SQ, Han SJ (2021) Review on carbon neutralization associated with coal geology. Coal Geol Explor 49(1):1–11\nShang X, Wang JG, Zhang Z, Gao F (2019) A three-parameter permeability model for the cracking process of fractured rocks under temperature change and external loading. Int J Rock Mech Min Sci 123:104106\nShi JQ, Durucan S (2004) Drawdown induced changes in permeability of coalbeds: a new interpretation of the reservoir response to primary recovery. Transp Porous Media 56(1):1–16\nSi L, Li Z, Yang Y (2018) Coal permeability evolution with the interaction between nanopore and fracture: Its application in coal mine gas drainage for Qingdong coal mine in Huaibei coalfield, China. J Nat Gas Sci Eng 56:523–535\nTan Y, Pan Z, Liu J, Zhou F, Connell LD, Sun W, Haque A (2018) Experimental study of impact of anisotropy and heterogeneity on gas flow in coal. Part II: permeability. Fuel 230:397–409\nTan Y, Pan Z, Feng XT, Zhang D, Connell LD, Li S (2019) Laboratory characterisation of fracture compressibility for coal and shale gas reservoir rocks: a review. Int J Coal Geol 204:1–17\nWang K, Zang J, Wang G, Zhou A (2014) Anisotropic permeability evolution of coal with effective stress variation and gas sorption: model development and analysis. Int J Coal Geol 130:53–65\nWang C, Zhang J, Chen J, Zhong R, Cui G, Jiang Y, Chen Z (2021) Understanding competing effect between sorption swelling and mechanical compression on coal matrix deformation and its permeability. Int J Rock Mech Min Sci 138:104639\nWu X, Li B, Ren C, Gao Z, Xu J, Zhang Y, Yao C (2022) An original coupled damage-permeability model based on the elastoplastic mechanics in coal. Rock Mech Rock Eng 55(4):2353–2370\nXie J, Gao M, Zhang R, Ren L, Peng G, Ai T, Yang B (2020) Experimental investigation on the gas flow characteristics of coal samples with different fracture network complexities. J Nat Gas Sci Eng 82:103487\nXie H, Lu J, Li C, Li M, Gao M (2022) Experimental study on the mechanical and failure behaviors of deep rock subjected to true triaxial stress: a review. Int J Min Sci Technol 32(05):915–950\nXue Y, Gao F, Liu X (2015) Effect of damage evolution of coal on permeability variation and analysis of gas outburst hazard with coal mining. Nat Hazards 79(2):999–1013\nYu P, Liu Y, Wang J, Kong C, Gu W, Xue L, Jiang L (2020) A new fracture permeability model: Influence of surrounding rocks and matrix pressure. J Petrol Sci Eng 193:107320\nZeng J, Liu J, Li W, Guo J (2021) A process-based coal swelling model: bridging the gaps between localized swelling and bulk swelling. Fuel 293:120360\nZhang L, Cong Y, Meng F, Wang Z, Zhang P, Gao S (2021) Energy evolution analysis and failure criteria for rock under different stress paths. Acta Geotech 16(2):569–580\nZhou Y, Li Z, Yang Y, Zhang L, Qi Q, Si L, Li J (2016) Improved porosity and permeability models with coal matrix block deformation effect. Rock Mech Rock Eng 49(9):3687–3697\nZhou HW, Rong TL, Wang LJ, Mou RY, Ren WG (2020) A new anisotropic coal permeability model under the influence of stress, gas sorption and temperature: development and verification. Int J Rock Mech Min Sci 132:104407",{"EN":1302},"Understanding the gas flow behavior in coal mining is conducive to the efficient production of coalbed methane. In coal mining, in-situ stress usually manifests as three-dimensional anisotropy in deep formations, and affects the gas permeability in reservoirs. In this work, a permeability model for anisotropic coal by combining gas sorption effects and the three-dimensional stress compression was proposed. Then, the effect of stress-induced fracture expansion on the fracture-matrix system was quantitatively analyzed, and this effect was incorporated into the permeability model. Combining the theoretical work, the seepage tests under conditions of true triaxial stress was conducted, and the permeability of coal, sandstone, and composite coal-rock were measured. Results showed that the stress first causes fracture compression, thus causing the permeability reduction. Because of the continuous increase of stress, the resulting fracture initiation and expansion increase the seepage channel of rock, and its permeability showed a sudden increase trend. In addition, the measured permeability test data is in good agreement with the model predicted. It also shows that the new model can describe the reservoir anisotropy permeability behaviors owing to stress compression induced damage and the initiation of new fractures. This work may provide an important theoretical reference for the evolution of rock permeability and reserve assessment of deep oil and gas reservoirs. \n                  \n                    \n                      \n                    \n                    \n                      \n                    \n                    \n                      \n                    \n                  \n                ",{"EN":1304},"New permeability model of deep coal rock considering the structure and 3D stress compression-induced 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Rock Mech Eng Geol 4:41–55",{},{"id":20,"text":1667,"url":20,"identifiers":1668},"Montoto M, Montoto L, Röshoff K, Leijon B (1981) Microfractographic study of heated and non-heated Stripa granite. In: Bergman M (ed) Subsurface space, proceedings of the 80th international symposium rockstore. Stockholm, pp 1357–1368",{"doi":1669},"10.1016\u002FB978-1-4832-8421-7.50204-0",{"id":20,"text":1671,"url":20,"identifiers":1672},"Moore DE, Lockner DA (1995) The role of microcracking in shear fracture propagation in granite. J Struct Geol 17(1):95–114",{"doi":1673},"10.1016\u002F0191-8141(94)E0018-T",{"id":20,"text":1675,"url":20,"identifiers":1676},"Pitts J (1984) A review of geology and engineering geology in Singapore. Q J Eng Geol 17:93–101",{"doi":1677},"10.1144\u002FGSL.QJEG.1984.017.02.02",{"id":20,"text":1679,"url":20,"identifiers":1680},"Ranjith PG, Pong SF, Chian W, Haque A (2004) Characterization of fractured rocks under uniaxial loading states. Int J Rock Mech Min Sci 4:361–372",{"doi":1681},"10.1016\u002Fj.ijrmms.2003.12.067",{"id":20,"text":1683,"url":20,"identifiers":1684},"Rathnaweera TD, Ranjith PG, Perera MSA (2014) Salinity-dependent strength and stress–strain characteristics of reservoir rocks in deep saline aquifers: an experimental study. Fuel 122:1–11",{"doi":1685},"10.1016\u002Fj.fuel.2013.11.033",{"id":20,"text":1687,"url":20,"identifiers":1688},"Rathnaweera TD, Ranjith PG, Perera MSA, Lashin A, Al Arifi N (2015) Non-linear stress–strain behaviour of reservoir rock under brine saturation: an experimental study. Measurement 71:56–72",{"doi":1689},"10.1016\u002Fj.measurement.2015.04.011",{"id":20,"text":1691,"url":20,"identifiers":1692},"Reyes O, Einstein HH (1991) Failure mechanisms of fracture rock. In: Proceedings of the 7th US national congress of applied mechanics, pp 333–340",{},{"id":20,"text":1694,"url":20,"identifiers":1695},"Sammonds PR, Ayling MR, Meredith PG, Murrell SAF, Jones C (1989) A laboratory investigation of acoustic emission and elastic wave velocity changes during rock failure under triaxial stresses. In: ISRM International Symposium. International society for rock mechanics, pp 233–240",{},{"id":20,"text":1697,"url":20,"identifiers":1698},"Shen B, Stephansson O, Einstein HH (1995) Coalescence of fractures under shear stress experiments. J Geophys Res 100(6):5975–5990",{"doi":1699},"10.1029\u002F95JB00040",{"id":20,"text":1701,"url":20,"identifiers":1702},"Stacey TR (1981) A simple extension strain criterion for fracture of brittle rock. Int J Rock Mech Min Sci 18:469–474",{"doi":1703},"10.1016\u002F0148-9062(81)90511-8",{"id":20,"text":1705,"url":20,"identifiers":1706},"Tapponnier P, Brace WF (1967) Development of stress-induced microcracks in Westerly Granite. Int J Rock Mech Min Sci 13:103–112",{"doi":1707},"10.1016\u002F0148-9062(76)91937-9",{"id":20,"text":1709,"url":20,"identifiers":1710},"Wasantha PLP, Ranjith PG, Zhang QB, Xu T (2015) Do joint geometrical properties influence the fracturing behaviour of jointed rock? An investigation through joint orientation. Geomech Geophys Geo-Energy Geo-Resour 1(1–2):3–14",{"doi":1711},"10.1007\u002Fs40948-015-0001-3",{"id":1713,"createTime":1714,"updateTime":1715,"relativeEntities":1716,"slug":1717,"properties":1718,"entityType":186,"verifyStatus":187,"verifyTime":1715,"verifyNote":188,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":1727,"fullTextUrl":20,"authors":1728,"publicationType":230,"publisherRelationship":1798,"citationCount":20,"citationInfo":20,"publishDate":1831,"publishYear":1174,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":269},"e607f9e9-2af5-4d55-90c1-51ad51e06980","2024-02-14T04:02:55.945+00:00","2024-12-27T23:33:28.772+00:00",[],"A-new-method-for-threshold-determination-of-gray-image",{"references":1719,"abstract":1721,"title":1723,"doi":1725},{"VOID":1720},"Beaupied H, Chappard C, Basillais A, Lespessailles E, Benhamou CL (2006) Effect of specimen conditioning on the microarchitectural parameters of trabecular bone assessed by micro-computed tomography. Phys Med Biol 51(18):4621–4634\nDelage P, Tessier D (2020) Macroscopic effects of nano and microscopic phenomena in clayey soils and clay rocks. Geomech Energy Environ 2020:100177\nDing M, Odgaard A, Hvid I (1999) Accuracy of cancellous bone volume fraction measured by micro-CT scanning. J Biomech 32(3):323–326\nDoyle W (1962) Operations useful for similarity-invariant pattern recognition. J Assoc Comput Mach 9:259–267\nFeng Z, Yang Y, Niu W, Zhao Y, Yao Y (2020) Permeability and meso-structure evolution of coking coal subjected to long-term exposure of triaxial stresses and high-pressure nitrogen. Geomech Geophys Geoenergy Georesour 6(41):1–11\nForoutan M, Ghazanfari E, Amirlatifi A et al (2020) Variation of pore-network, mechanical and hydrological characteristics of sandstone specimens through CO2-enriched brine injection. Geomech Energy Environ 2020:100217\nGlasbey CA (1993) An analysis of histogram-based thresholding algorithms. CVGIP Graph Model Im 55:532–537\nHuang L, Wang MJ (1995) Image thresholding by minimizing the measures of fuzziness. Pattern Recognit 28(1):41–51\nJu Y, Huang Y, Su S et al (2018) Three-dimensional numerical reconstruction method for irregular structures of granular geomaterials. Geomech Geophys Geoenergy Georesour 4(4):327–341\nKapur JN, Sahoo PK, Wong AKC (1985) A new method for gray-level picture thresholding using the entropy of the histogram. Comput Vis Graph Image Process 29:273–285\nKeller LM, Holzer L, Wepf R, Gasser P (2011) 3D geometry and topology of pore pathways in Opalinus clay: implications for mass transport. Appl Clay Sci 52(1–2):85–95\nKhandelwal M, Ranjith PG (2017) Study of crack propagation in concrete under multiple loading rates by acoustic emission. Geomech Geophys Geoenergy Georesour 3:393–404\nLi CH, Tam PKS (1998) An iterative algorithm for minimum cross entropy thresholding. Pattern Recognit Lett 19:771–776\nLi F, Yang Y, Fan X et al (2018) Numerical analysis of the hydrofracturing behaviours and mechanisms of heterogeneous reservoir rock using the continuum-based discrete element method considering pre-existing fractures. Geomech Geophys Geoenergy Georesour 4:383–401\nLiu C, Shi B, Zhou J, Tang C (2011) Quantification and characterization of microporosity by image processing, geometric measurement and statistical methods: application on SEM images of clay materials. Appl Clay Sci 54(1):97–106\nLiu JF, Ni HY, Cao XL, Ma LK, Guo JN, Wang YG, Chen X (2020a) Laboratory investigation on gas permeability of compacted GMZ bentonite under a coupled hydraulic-mechanical effect. Eng Geol 276:105761\nLiu JF, Song SB, Cao XL, Meng QB, Pu H, Wang YG, Liu JF (2020b) Determination of full-scale pore size distribution of Gaomiaozi bentonite and its permeability prediction. J Rock Mech Geotech Eng 12(2):403–413\nMagnus W (2019) A 3d model of hydraulic fracturing and microseismicity in anisotropic stress fields. Geomech Geophys Geoenergy Georesour 5(1):17–35\nMuller R, Hildebrand T, Ruegsegger P (1994) Non-invasive bone biopsy: a new method to analyse and display the three-dimensional structure of trabecular bone. Phys Med Biol 39(1):145–164\nOtsu N (1979) A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern 9(1):62–66\nOstu N (2007) A threshold selection method from gray-histogram. IEEE Trans Syst Man Cybern 9(1):62–66\nPrakongkep N, Suddhiprakarn A, Kheoruenromne I, Gilkes RJ (2010) SEM image analysis for characterization of sand grains in Thai paddy soils. Geoderma 156(1–2):20–31\nPrewitt JM, Mendelsohn ML (1966) The analysis of cell images. Ann NY Acad Sci 128:1035–1053\nPun T (1980) A new method for grey-level picture thresholding using the entropy of the histogram. Signal Process 2(3):223–237\nPun T (1981) Entropic thresholding, a new approach. Comput Graph Image Process 16(3):210–239\nRajagopalan S, Yaszemski MJ, Robb RA (2004) Evaluation of thresholding techniques for segmenting scaffold images in tissue engineering. 2004-01-01. SPIE 5370:1456–1465\nRidler TW, Calvard S (1978) Picture thresholding using an iterative selection method. IEEE Trans Syst Man Cybern 8:630–632\nShen WQ, Shao JF, Burlion N, Liu ZB (2020) A microstructure-based constitutive model for cement paste with chemical leaching effect. Mech Mater 150:103571\nSong Y, Davy CA, Troadec D, Blanchenet AM, Skoczylas F, Talandier J, Robinet JC (2015) Multi-scale pore structure of COx claystone: towards the prediction of fluid transport. Mar Pet Geol 65:63–82\nSong SB, Liu JF, Ni HY, Cao XL, Pu H, Huang BX (2020) A new automatic thresholding algorithm for unimodal gray-level distribution images by using the gray gradient information. J Pet Sci Eng 190:1–7\nWaarsing JH, Day JS, Weinans H (2004) An improved segmentation method for in vivo μCT imaging. J Bone Miner Res 19(10):1640–1650\nXiong Q, Yang D, Chen W (2019) Multi-scale modelling of gas flow in nanoscale pore space with fractures. J Rock Mech Geotech Eng 12(1):32–40\nYang SQ, Huang YH (2020) Effect of damage on gas seepage behavior of sandstone specimens. J Rock Mech Geotech Eng 12(4):866–876\nYen JC, Chang FJ, Chang S (1995) A new criterion for automatic multilevel thresholding. IEEE Trans Image Process Publ IEEE Signal Process Soc 4(3):370–378\nZack GW, Rogers WE, Latt SA (1977) Automatic measurement of sister chromatid exchange frequency. J Histochem Cytochem 25:741–753\nZhang D, Ranjith PG, Perera MSA, Ma G (2020) Laboratory evaluation of flow properties of Niutitang shale at reservoir conditions. Mar Pet Geol 115:104257",{"EN":1722},"The determination of the gray threshold is crucial for the quantitative characterization of digital images. In this study, a new algorithm is proposed to determine the optimal image segmentation threshold. This algorithm is based on a combined analysis of the gray distribution curve and its second differential distribution curve of the digital image. Then, the feasibility and accuracy of the Liu–Cao algorithm are compared with the other 16 algorithms and verified by mercury injection method (MIP) results. Results show that the proposed segmentation threshold algorithm can effectively segment the digital images obtained by various imaging techniques (SEM, CT, FIB\u002FSEM, etc.) and can accurately extract the pore (crack) structures from the image. Image filtering has a certain influence on the gray threshold determination and quantitative characterization, and the impact depends on the quality of the original image. This algorithm can be easily understood and mastered by the researchers and can be widely used in geotechnical and geological areas.",{"EN":1724},"A new method for threshold determination of gray image",{"VOID":1726},"10.1007\u002Fs40948-020-00198-2","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs40948-020-00198-2",[1729,1744,1759,1771,1783],{"id":1730,"sortIndex":21,"researcher":20,"roles":1731,"affiliations":1732,"properties":1741},"7b473e02-d735-4307-ab83-54c446c4eb5d",[195],[1733],{"id":20,"sortIndex":21,"affiliation":1734,"properties":20},{"id":1735,"createTime":1736,"updateTime":1736,"relativeEntities":1737,"slug":20,"properties":1738,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"a550c9fa-7ddd-470b-95db-b68a0ac0485a","2024-01-28T09:54:54.619+00:00",[],{"title":1739},{"VI":1740},"The State Key Laboratory for GeoMechanics and Deep Underground Engineering, and School of 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