Prediction of barium sulfate precipitation in dynamic tube blocking tests and its inhibition for waterflooding application using response surface methodology

Springer Science and Business Media LLC - 2023
Azizollah Khormali1, Soroush Ahmadi2
1Department of Chemistry, Faculty of Basic Sciences and Engineering, Gonbad Kavous University, Gonbad Kavous, Iran
2Department of Chemical Engineering, Faculty of Engineering, Payame Noor University (PNU), Tehran, Iran

Tóm tắt

AbstractScale precipitation is one of the major problems in the petroleum industry during waterflooding. The possibility of salt formation and precipitation should be monitored and analyzed under dynamic conditions to improve production performance. Scale precipitation and its dependence on production parameters should be investigated before using scale inhibitors. In this study, the precipitation of barium sulfate salt was investigated through dynamic tube blocking tests at different injection rates and times. For this purpose, the pressure drop caused by salt deposition was evaluated at injection rates of 1, 2, 3, 4, and 5 mL/min. The software determined the worst conditions (temperature, pressure, and water mixing ratio) for barium sulfate precipitation. Moreover, during the experiments, the pressure drop caused by barium sulfate precipitation was measured without using scale inhibitors. The pressure drop data were evaluated by the response surface method and analysis of variance to develop a new model for predicting the pressure drop depending on the injection rate and time. The novelty of this study lies in the development of a new high-precision correlation to predict barium sulfate precipitation under dynamic conditions using the response surface methodology that evaluates the effect of injection rate and time on the possibility of salt precipitation. The accuracy and adequacy of the obtained model were confirmed by using R2 statistics (including R2-coefficient of determination, adjusted R2, and predicted R2), adequate precision, and diagnostic charts. The results showed that the proposed model could fully and accurately predict the pressure drop. Increasing the time and decreasing the injection rate caused an increase in pressure drop and precipitation of barium sulfate salt, which was related to the formation of more salt due to the contact of ions. In addition, in a short period of the injection process, the pressure drop due to salt deposition increased sharply, which confirms the need to use a suitable scale inhibitor to control salt deposition. Finally, the dynamic tube blocking tests were repeated in the presence of two well-known scale inhibitors, which prevented salt deposition in the tubes. At the same time, no pressure drop was observed in the presence of scale inhibitors at all injection rates during a long period of injection. The obtained results can be used for the evaluation of salt precipitation during oil production in the reservoirs, in which barium sulfate is precipitated during waterflooding. For this purpose, knowing the flow rate and injection time, it is possible to determine the amount of pressure drop caused by salt deposition.

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Tài liệu tham khảo

Abbasi P, Abbasi S, Moghadasi J (2020) Experimental investigation of mixed-salt precipitation during smart water injection in the carbonate formation. J Mol Liq 299:112131. https://doi.org/10.1016/j.molliq.2019.112131

Ahmadi A, Moosavi M (2018) Investigation of the effects of low-salinity waterflooding for improved oil recovery in carbonate reservoir cores. Energy Sources A Recovery Util Environ Eff 40(9):1035–1043. https://doi.org/10.1080/15567036.2018.1468514

Ahmadi S, Khormali A, Khoutoriansky FM (2022) Optimization of the demulsification of water-in-heavy crude oil emulsions using response surface methodology. Fuel 323:124270. https://doi.org/10.1016/j.fuel.2022.124270

Akkaya GK (2022) Treatment of petroleum wastewater by electrocoagulation using scrap perforated (Fe-anode) and plate (Al and Fe-cathode) metals: optimization of operating parameters by RSM. Chem Eng Res Des 187:261–275. https://doi.org/10.1016/j.cherd.2022.08.048

Al Helal A, Soames A, Iglauer S, Gubner R, Barifcani A (2019) Evaluating chemical-scale-inhibitor performance in external magnetic fields using a dynamic scale loop. J Pet Sci Eng 179:1063–1077. https://doi.org/10.1016/j.petrol.2019.04.093

Azizi J, Shadizadeh SR, Manshad AK, Mohammadi AH (2019) A dynamic method for experimental assessment of scale inhibitor efficiency in oil recovery process by water flooding. Petroleum 5(3):303–314. https://doi.org/10.1016/j.petlm.2018.07.004

Bijani M, Khamehchi E (2019) Optimization and treatment of wastewater of crude oil desalting unit and prediction of scale formation. Environ Sci Pollut Res 26:25621–25640. https://doi.org/10.1007/s11356-019-05632-x

Biniaz P, Farsi M, Rahimpour MR (2016) Demulsification of water in oil emulsion using ionic liquids: statistical modeling and optimization. Fuel 184:325–333. https://doi.org/10.1016/j.fuel.2016.06.093

BinMerdhah AB (2012) Inhibition of barium sulfate scale at high-barium formation water. J Pet Sci Eng 90:124–130. https://doi.org/10.1016/j.petrol.2012.04.005

BinMerdhah AB, Yassin AAM (2007) Barium sulfate scale formation in oil reservoir during water injection at high-barium formation water. J Appl Sci 7(17):2393–2403. https://doi.org/10.3923/jas.2007.2393.2403

BinMerdhah AB, Yassin AAM, Muherei MA (2010) Laboratory and prediction of barium sulfate scaling at high-barium formation water. J Pet Sci Eng 70(1–2):79–88. https://doi.org/10.1016/j.petrol.2009.10.001

Dai C, Dai Z, Zhao Y, Wang X, Paudyal S, Ko S, Kan AT, Tomson MB (2021) Prediction models of barite crystallization and inhibition kinetics: applications for oil and gas industry. Sustainability 13(15):8533. https://doi.org/10.3390/su13158533

De Motte RA, Barker R, Burkle D, Vargas SM, Neville A (2018) The early stages of FeCO3 scale formation kinetics in CO2 corrosion. Mater Chem Phys 216:102–111. https://doi.org/10.1016/j.matchemphys.2018.04.077

Dorman J, Lakatos I, Szentes G, Meidl A (2015) Mitigation of formation damage and wellbore instability in unconventional reservoirs using improved particle size analysis and design of drilling fluids. In: SPE European formation damage conference and exhibition. https://doi.org/10.2118/174260-MS

Fernandes RS, Beserra NL, Souza MA, Lima DF, Castro BB, Balaban RC (2020) Experimental and theoretical investigation of a copolymer combined with surfactant for preventing scale formation in oil wells. J Mol Liq 318:114036. https://doi.org/10.1016/j.molliq.2020.114036

Ferreira BX, Barbosa CRH, Cajaiba J, Kartnaller V, Santos BF (2022) Development of artificial neural network models for the simulation of a CaCO3 Scale formation process in the presence of monoethylene glycol (MEG) in dynamic tube blocking test equipment. Energy Fuels 36(4):2288–2299. https://doi.org/10.1021/acs.energyfuels.1c03364

Geri BS, Mahmoud MA, Shawabkeh RA, Abdulraheem A (2017) Evaluation of barium sulfate (barite) solubility using different chelating agents at a high temperature. J Pet Sci Technol 7(1):42–56. https://doi.org/10.22078/JPST.2017.707

Ghasemian J, Riahi S, Ayatollahi S, Mokhtari R (2019) Effect of salinity and ion type on formation damage due to inorganic scale deposition and introducing optimum salinity. J Pet Sci Eng 177:270–281. https://doi.org/10.1016/j.petrol.2019.02.019

Hasson D, Shemer H, Sher A (2011) State of the art of friendly “green” scale control inhibitors: a review article. Ind Eng Chem Res 50(12):7601–7607. https://doi.org/10.1021/ie200370v

Jordan MM, Johnston CJ, Robb M (2006) Evaluation methods for suspended solids and produced water as an aid in determining effectiveness of scale control both downhole and topside. SPE Prod Oper 21(01):7–18. https://doi.org/10.2118/92663-PA

Kamal MS, Hussein I, Mahmoud M, Sultan AS, Saad MA (2018) Oilfield scale formation and chemical removal: a review. J Pet Sci Eng 171:127–139. https://doi.org/10.1016/j.petrol.2018.07.037

Kelland MA, Mady MF, Lima-Eriksen R (2018) Kidney stone prevention: dynamic testing of edible calcium oxalate scale inhibitors. Cryst Growth Des 18(12):7441–7450. https://doi.org/10.1021/acs.cgd.8b01173

Kartnaller V, Venâncio Rosário FFD, Cajaiba J (2018) Application of multiple regression and design of experiments for modelling the effect of monoethylene glycol in the calcium carbonate scaling process. Molecules 23(4):860. https://doi.org/10.3390/molecules23040860

Khormali A, Ahmadi S, Kazemzadeh Y (2022) Inhibition of barium sulfate precipitation during water injection into oil reservoirs using various scale inhibitors. Arab J Sci Eng. https://doi.org/10.1007/s13369-022-07503-z

Khormali A, Petrakov DG, Moghaddam RN (2017) Study of adsorption/desorption properties of a new scale inhibitor package to prevent calcium carbonate formation during water injection in oil reservoirs. J Pet Sci Eng 153:257–267. https://doi.org/10.1016/j.petrol.2017.04.008

Khormali A, Sharifov AR, Torba DI (2018a) Increasing efficiency of calcium sulfate scale prevention using a new mixture of phosphonate scale inhibitors during waterflooding. J Pet Sci Eng 164:245–258. https://doi.org/10.1016/j.petrol.2018.01.055

Khormali A, Sharifov AR, Torba DI (2018b) Investigation of barium sulfate precipitation and prevention using different scale inhibitors under reservoir conditions. Int J Eng 31(10):1796–1802. https://doi.org/10.5829/ije.2018.31.10a.24

Kiaei Z, Haghtalab A (2014) Experimental study of using Ca-DTPMP nanoparticles in inhibition of CaCO3 scaling in a bulk water process. Desalination 338:84–92. https://doi.org/10.1016/j.desal.2014.01.027

Kumar S, Naiya TK, Kumar T (2018) Developments in oilfield scale handling towards green technology-A review. J Pet Sci Eng 169:428–444. https://doi.org/10.1016/j.petrol.2018.05.068

Kumar T, Vishwanatham S, Kundu SS (2010) A laboratory study on pteroyl-L-glutamic acid as a scale prevention inhibitor of calcium carbonate in aqueous solution of synthetic produced water. J Pet Sci Eng 71(1–2):1–7. https://doi.org/10.1016/j.petrol.2009.11.014

Lakatos I, Bodi T, Lakatos-Szabo J, Szentes G (2010) Mitigation of formation damage caused by water-based drilling fluids in unconventional gas reservoirs. In: SPE international symposium and exhibition on formation damage control. https://doi.org/10.2118/127999-MS

Lakatos I, Lakatos-Szabo G, Szentes G (2018) Revival of green conformance and IOR/EOR technologies: nanosilica aided silicate systems-a review. In: SPE international conference and exhibition on formation damage control. https://doi.org/10.2118/189534-MS

Lakatos I, Lakatos-Szabo J, Szentes G, Vadaszi M (2013) Mitigation of formation damage caused by macrormolecular materials using liquid polymers. In: SPE European formation damage conference & exhibition. https://doi.org/10.2118/165176-MS

Li J, Tang M, Ye Z, Chen L, Zhou Y (2017) Scale formation and control in oil and gas fields: a review. J Dispers Sci Technol 38(5):661–670. https://doi.org/10.1080/01932691.2016.1185953

Lu AYT, Shi W, Wang J et al (2019) The mechanism of barium sulfate deposition inhibition and the prediction of inhibitor dosage. J Chem Eng Data 64(11):4968–4976. https://doi.org/10.1021/acs.jced.9b00799

Moghadasi J, Müller-Steinhagen H, Jamialahmadi M, Sharif A (2004) Model study on the kinetics of oil field formation damage due to salt precipitation from injection. J Pet Sci Eng 43(3–4):201–217. https://doi.org/10.1016/j.petrol.2004.02.014

Mpelwa M, Tang SF (2019) State of the art of synthetic threshold scale inhibitors for mineral scaling in the petroleum industry: a review. Pet Sci 16:830–849. https://doi.org/10.1007/s12182-019-0299-5

Onukwuli OD, Anadebe VC, Nnaji PC et al (2021) Effect of pigeon pea seed (isoflavone) molecules on corrosion inhibition of mild steel in oilfield descaling solution: electro-kinetic, DFT modeling and optimization studies. J Iran Chem Soc 18:2983–3005. https://doi.org/10.1007/s13738-021-02250-8

Popov K, Oshchepkov M, Afanas’eva E, Koltinova E, Dikareva Y, Rönkkömäki H (2019) A new insight into the mechanism of the scale inhibition: DLS study of gypsum nucleation in presence of phosphonates using nanosilver dispersion as an internal light scattering intensity reference. Colloids Surf A Physicochem Eng Asp 560:122–129. https://doi.org/10.1016/j.colsurfa.2018.10.015

Ramzi M, Hosny R, El-Sayed M, Fathy M, Moghny TA (2016) Evaluation of scale inhibitors performance under simulated flowing field conditions using dynamic tube blocking test. Int J Chem Sci 14(1):16–28

Ridzuan N, Al-Mahfadi M (2017) Evaluation on the effects of wax inhibitor and optimization of operating parameters for wax deposition in Malaysian crude oil. Pet Sci Technol 35(20):1945–1950. https://doi.org/10.1080/10916466.2017.1373128

Sanni OS, Bukuaghangin O, Charpentier TV, Neville A (2019) Evaluation of laboratory techniques for assessing scale inhibition efficiency. J Pet Sci Eng 182:106347. https://doi.org/10.1016/j.petrol.2019.106347

Senthilmurugan B, Ghosh B, Sanker S (2011) High performance maleic acid based oil well scale inhibitors—Development and comparative evaluation. J Ind Eng Chem 17(3):415–420. https://doi.org/10.1016/j.jiec.2010.10.032

Shabani A, Sisakhti H, Sheikhi S, Barzegar F (2020) A reactive transport approach for modeling scale formation and deposition in water injection wells. J Pet Sci Eng 190:107031. https://doi.org/10.1016/j.petrol.2020.107031

Shi W, Kan AT, Fan C, Tomson MB (2012) Solubility of barite up to 250 C and 1500 bar in up to 6 m NaCl solution. Ind Eng Chem Res 51(7):3119–3128. https://doi.org/10.1021/ie2020558

Singh B, Kumar P (2020) Pre-treatment of petroleum refinery wastewater by coagulation and flocculation using mixed coagulant: optimization of process parameters using response surface methodology (RSM). J Water Process 36:101317. https://doi.org/10.1016/j.jwpe.2020.101317

Sun Y, Li L, Chen Z, Yin X, Yang W, Chen Y, Liu Y (2022) Scale inhibition performance of calcium sulfate by 1, 6-diaminohexane-contained polyaminoamide dendrimers: Static experiment and MD simulation. J Ind Eng Chem 115:12–19. https://doi.org/10.1016/j.jiec.2022.07.049

Tang Y, Yang R, Du Z, Zeng F (2015) Experimental study of formation damage caused by complete water vaporization and salt precipitation in sandstone reservoirs. Transp Porous Media 107:205–218. https://doi.org/10.1007/s11242-014-0433-1

Tomaszewska B, Tyszer M (2017) Assessment of the influence of temperature and pressure on the prediction of the precipitation of minerals during the desalination process. Desalination 424:102–109. https://doi.org/10.1016/j.desal.2017.10.003

Velloso Alves de Souza A, Rosário F, Cajaiba J (2019) Evaluation of calcium carbonate inhibitors using sintered metal filter in a pressurized dynamic system. Materials 12(11):1849. https://doi.org/10.3390/ma12111849

Wang Q, Liang F, Al-Nasser W et al (2018) Laboratory study on efficiency of three calcium carbonate scale inhibitors in the presence of EOR chemicals. Petroleum 4(4):375–384. https://doi.org/10.1016/j.petlm.2018.03.003

Yuan B, Wood DA (2018) A comprehensive review of formation damage during enhanced oil recovery. J Pet Sci Eng 167:287–299. https://doi.org/10.1016/j.petrol.2018.04.018

Zhang P, Kan AT, Fan C et al (2011) Silica-templated synthesis of novel zinc-DTPMP nanomaterials: their transport in carbonate and sandstone media during scale inhibition. SPE J 16(03):662–671. https://doi.org/10.2118/130639-PA

Zhang ZJ, Lu ML, Liu J, Chen HL, Chen QL, Wang B (2020) Fluorescent-tagged hyper-branched polyester for inhibition of CaSO4 scale and the scale inhibition mechanism. Mater Today Commun 25:101359. https://doi.org/10.1016/j.mtcomm.2020.101359

Zhao Y, Dai Z, Wang X et al (2021) Evaluation of silica and related matrix ion effects on common scale inhibitors. Energy Fuels 35(3):2144–2152. https://doi.org/10.1021/acs.energyfuels.0c03768

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