Application of ARIMA-RTS optimal smoothing algorithm in gas well production prediction

Petroleum - Tập 8 - Trang 270-277 - 2022
Yonggang Duan1, Huan Wang2, Mingqiang Wei1, Linjiang Tan1, Tao Yue1
1School of Petroleum and Natural Gas Engineering, Southwest Petroleum University, Chengdu, 610500, China
2School of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu 610500, China

Tài liệu tham khảo

Nwaobi, 2018, Parameter determination for a numerical approach to undeveloped shale gas production estimation: the UK Bowland shale region application, J. Nat. Gas Sci. Eng., 58, 80, 10.1016/j.jngse.2018.07.024 Cipolla, 2010, Reservoir modeling in shale-gas reservoirs, J. spe reservoir.Eval. Eng., 638, 10.2118/125530-PA Clark, 2013, Production data analysis of unconventional gas wells: review of theory and best practices, J.Int. J. Coal Geol., 109, 101, 10.1016/j.coal.2013.01.002 Zhong, 2008 Zhou, 2009, Application research on oil production forecasting based on BP neutral netwok, J. Wuhan Univ. Technol., 31, 125 Fulford, 2016, Machine learning as a reliable technology for evaluating time/rate performance of unconventional wells, J. SPE Economics & Management, 8, 23 Brockwell, 2016 Chen, 2016, Research on estimation of ads click rate based on recurrent neural network, J. Zhejiang SCI-TECH Univ.(Nat. Sci. Ed.), 35, 880 Seemann, 2013 Korovin, 2014, Formation evaluation and well-test analysis for complex interpretation of reservoir permeability distribution, C. USOV:IOP, 1 Jozefowicz, 2015, 2342 Gu, 2019, Oil well Production forecast with long-short term memory network m-odel based on data mining, J. Special Oil & Gas Reservoirs, 26, 81 Hou, 2019, Prediction method of oil production in new wells based on long and short term me-mory network, J. Oil and Gas Geology and Recovery, 26, 105 Lin, 2019, Comparison of oilfield production forecast methods based on machine learning, J. Information System Engineering, 120 Ediger, 2006, Foreccasting production of fossil fule sources in Turkey using a comparative regression and model, J. Energy Policy., 34, 3836, 10.1016/j.enpol.2005.08.023 Fan, 2021, Well production forecasting based on ARIMA-LSTM model considering manual operations, J. Energy, 220, 119708 Frausto-Solis, 2015, Forecasting oil production time series with a population-based simulated annealing method, J.Arabian J. Sci. Eng., 40, 1081, 10.1007/s13369-015-1587-z Wang, 2018 Wang, 2018, China's dependency on foreign oil will exceed 80% by 2030: developing a novel NMGM-ARIMA to forecast China's foreign oil dependence from two dimensions, Energy, 163, 151, 10.1016/j.energy.2018.08.127 Wang, 2018, Forecasting US shale gas monthly production using a hybrid ARIMA and metabolic nonlinear grey model, Energy, 160, 378, 10.1016/j.energy.2018.07.047 Gu, 2018, Oil well production forecasting method based on ARIMA-Kalman filter data mining model, J.Shenzhen Univ.(Sci. Eng.), 35, 575, 10.3724/SP.J.1249.2018.06575 Mao, 2021, Channel estimation for reconfigurable intelligent surface assisted wireless communication systems in mobility scenarios, J. China Communications., 18, 29 Yue, 2021, Application research of Kalman filter algorithm for improving the precision of satellite navigation, J. Survey Eng., 30, 60 Wang, 2021, Application of improved robust volume Kalman filter algorithm based on singular value decomposition in global positioning navigation, J. Sci.Technol.Eng., 21, 2356 Guo, 2021, A fast moving target detection tracking and trajectory prediction system for binocular vision, J. Wuhan Univ J Natural Sci, 26, 69 Xuan, 2011, Application of RTS optimal smoothing algorithm in satellite attitude determination, 978 Bao, 2015, The application of RTS smooth filtering in post-event attitude determination, J. Space control technology and application, 41, 18 Qi, 2017, Research on satellite attitude post-processing based on RTS smoothing, J. Inf.Eng.Univ., 18, 370 Li, 2016, Iterated unscented Kalman particle filter of fusion RTS smoothing, J. Taiyuan Univ.Sci. Technol., 37, 266 Gong, 2009, Application of SVD based R-T-S optimal smoothing algorithm to pos for airborne SAR motion compensation, J. Journal of Aeronautics., 30, 311 Wang, 2020, GPS/GLONASS/GALILEO real-time service (RTS) product performance evaluation analysis, J. Navigation positioning and timing, 7, 65 Deng, 2008, The lag length selection in ADF test: simulation evidence from an ARIMA (0, 1,q) proces, J. Quant.Tech.Econ, 126 Xin, 2018, Bridge structure deformation prediction based on GNSS data using Kalman-ARIMA-GARCH model, J. Sensors, 18, 298 Li, 2018