页岩润湿性的神经网络预测模型
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摘要
页岩润湿性对油水微观分布以及井壁失稳等工程响应特征影响显著。文中实验表征了润湿性对页岩岩石组构及油基钻井液关键参数的响应特征,并利用广义回归神经网络(GRNN)方法开展了润湿性的定量表征研究。研究发现,页岩润湿性对岩石组构与钻井液性能呈现复杂的非线性响应特征。基于GRNN方法,建立的包含岩石组构与钻井液性能特征的润湿性定量表征模型具有较高的精度和泛化能力。其中,有机碳质量分数(TOC)对润湿性影响最大,其次是黏土矿物、石英质量分数和油基钻井液的油水比,岩石孔容特征影响最为微弱。基于GRNN方法的页岩润湿性定量表征模型,可实现页岩润湿性预测,从而为钻井液性能优化和井壁稳定控制提供指导。
Shale wettability has significant influence on the microscopic distribution of reservoir fluid and wellbore instability. The response characteristics of wettability to shale fabric and oil-based drilling fluid parameters were analyzed by experiment. Then generalized regression neural network(GRNN) method was used to carry out the research on quantitative characterization model of shale wettability. The research indicates that shale wettability presents complex nonlinear response characteristics to rock fabric and drilling fluid performance; the quantitative characterization model of wettability based on GRNN method has high accuracy and generalization ability, which considers 12 influencing factors of rock fabric and drilling fluid performance. The sensitivity analysis shows that the content of TOC has the greatest influence on wettability, followed by clay minerals, quartz content and oil-water ratio of oil-based drilling fluid, and the pore volume characteristics of rock has the least influence on wettability; based on the GRNN method, the study on wettability quantitative model can be used to predict the wettability of rock and fluid system, so as to provide guidance for drilling fluid performance optimization and wellbore stability control in shale drilling.
Shale wettability has significant influence on the microscopic distribution of reservoir fluid and wellbore instability. The response characteristics of wettability to shale fabric and oil-based drilling fluid parameters were analyzed by experiment. Then generalized regression neural network(GRNN) method was used to carry out the research on quantitative characterization model of shale wettability. The research indicates that shale wettability presents complex nonlinear response characteristics to rock fabric and drilling fluid performance; the quantitative characterization model of wettability based on GRNN method has high accuracy and generalization ability, which considers 12 influencing factors of rock fabric and drilling fluid performance. The sensitivity analysis shows that the content of TOC has the greatest influence on wettability, followed by clay minerals, quartz content and oil-water ratio of oil-based drilling fluid, and the pore volume characteristics of rock has the least influence on wettability; based on the GRNN method, the study on wettability quantitative model can be used to predict the wettability of rock and fluid system, so as to provide guidance for drilling fluid performance optimization and wellbore stability control in shale drilling.
引文
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[10]公言杰,柳少波,刘可禹,等.致密油充注过程中储层润湿性变化对含油性影响:以川中侏罗系致密油为例[J].石油实验地质,2015,37(4):423-429.
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[15] XU M,DEHGHANPOUR H. Advances in understanding wettability of gas shales[J]. Energy&Fuels,2014,28(7):4362-4375.
[16] LAN Q,XU M X,BINAZADEH M,et al. A comparative investigation of shale wettability:the significance of pore connectivity[J].Journal of Natural Gas Science and Engineering,2015,27(2):1174-1188.
[17] LAN Q,DEHGHANPOUR H. Wettability of the montney tight gas formation[R]. SPE 171620,2014.
[18] YASSIN M R, BEGUM M, DEHGHANPOUR H. Organic shale wettability and its relationship to other petrophysical properties:a Duvernay case study[J]. International Journal of Coal Geology,2017,169:74-91.
[19] BEGUM M, YASSIN R M, DEHGHANPOUR H, et al. Rock-fluid interactions in the Duvernay Formation:measurement of wettability and imbibition oil recovery[R]. SPE 185065,2017.
[20] BORYSENKO A,CLENNELL B,SEDEV R,et al. Experimental investigations of the wettability of clays and shales[J]. Journal of Geophysical Research:Solid Earth,2009,114(B7):1-11.
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[22] POPPE L J,PASKEVICH V F,HATHAWAY J C,et al. A laboratory manual for X-ray powder diffraction[J]. US Geological Survey OpenFile Report,2001,1(41):1-88.
[23] DONALDSON E C, THOMAS R D, LORENZ P B. Wettability determination and its effect on recovery efficiency[J]. SPE Journal,1969,9(1):13-20.
[24] MORROW N R. Wettability and its effect on oil recovery[J]. Journal of Petroleum Technology,1990,42(12):1476-1484.
[25] ANDERSEN M A,THOMAS D C,TEETERS D C. A new formation wettability test:the dynamic wilhelmy plate wettability technique[R].SPE 17368,1988.
[26]曲岩涛,王建,李奋.油藏岩石润湿性测定方法:SY/T 5153—2007[S].北京:石油工业出版社,2007.
[27]陈志礼,宁正福,杜华明,等.基于改进BP神经网络的页岩吸附量预测模型[J].断块油气田,2018,25(2):208-212.
[28]王沛,欧阳传湘,陈宏生,等.应用PCA和多元非线性回归快速预测储层敏感性[J].断块油气田,2018,25(2):232-235.
[29] SPECHT D F. A general regression neural network[J]. IEEE Transactions on Neural Networks,1991,2(6):568-576.
[2]王庆波,刘若冰,魏祥峰,等.陆相页岩气成藏地质条件及富集高产主控因素分析:以元坝地区为例[J].断块油气田,2013,20(6):698-703.
[3]隋青林.四川威远地区九老洞组页岩微观非均质性[J].断块油气田,2017,24(1):15-20.
[4] ZHANG Y Y, CHEN M, JIN Y, et al. The influence of oil-based drilling fluid on the wellbore instability and fracturing in complex shale formation[R]. ARMA 16-561,2016.
[5] ALAM W,DONALDSON E C. Wettability[M]. Texas:Gulf Publishing Company,2008:1-336.
[6] MOSS A K,JING X D,ARCHER J S. Laboratory investigation of wettability and hysteresis effects on resistivity index and capillary pressure characteristics[J]. Journal of Petroleum Science and Engineering,1999,24(2):231-242.
[7] ROSHAN H,EHSANI S,MARJO C E,et al. Mechanisms of water adsorption into partially saturated fractured shales:an experimental study[J]. Fuel,2015,159:628-637.
[8] MIRCHI V,SARAJI S,GOUAL L,et al. Dynamic interfacial tension and wettability of shale in the presence of surfactants at reservoir conditions[J]. Fuel,2015,148:127-138.
[9] FATEMI S M, SOHRABI M. Recovery mechanisms and relative permeability for gas/oil systems at near-miscible conditions:effects of immobile water saturation,wettability,hysteresis,and permeability[J].Energy&Fuels,2013,27(5):2376-2389.
[10]公言杰,柳少波,刘可禹,等.致密油充注过程中储层润湿性变化对含油性影响:以川中侏罗系致密油为例[J].石油实验地质,2015,37(4):423-429.
[11] TREIBER L E, OWENS W W. A laboratory evaluation of the wettability of fifty oil-producing reservoirs[J]. SPE Journal,1972,12(6):531-540.
[12] MORROW N R. Capillary pressure correlations for uniformly wetted porous media[J]. Journal of Canadian Petroleum Technology,1976,15(4):49-69.
[13] MUHAMMAD Z,RAO D N. Compositional dependence of reservoir wettability[R]. SPE 65409,2001.
[14] VIJAPURAPU C S, RAO D N. Compositional effects of fluids on spreading,adhesion and wettability in porous media[J]. Colloids and Surfaces A:Physicochemical and Engineering Aspects,2004,241(1/2/3):335-342.
[15] XU M,DEHGHANPOUR H. Advances in understanding wettability of gas shales[J]. Energy&Fuels,2014,28(7):4362-4375.
[16] LAN Q,XU M X,BINAZADEH M,et al. A comparative investigation of shale wettability:the significance of pore connectivity[J].Journal of Natural Gas Science and Engineering,2015,27(2):1174-1188.
[17] LAN Q,DEHGHANPOUR H. Wettability of the montney tight gas formation[R]. SPE 171620,2014.
[18] YASSIN M R, BEGUM M, DEHGHANPOUR H. Organic shale wettability and its relationship to other petrophysical properties:a Duvernay case study[J]. International Journal of Coal Geology,2017,169:74-91.
[19] BEGUM M, YASSIN R M, DEHGHANPOUR H, et al. Rock-fluid interactions in the Duvernay Formation:measurement of wettability and imbibition oil recovery[R]. SPE 185065,2017.
[20] BORYSENKO A,CLENNELL B,SEDEV R,et al. Experimental investigations of the wettability of clays and shales[J]. Journal of Geophysical Research:Solid Earth,2009,114(B7):1-11.
[21]刘向君,熊健,梁利喜,等.川南地区龙马溪组页岩润湿性分析及影响讨论[J].天然气地球科学,2014,25(10):1644-1652.
[22] POPPE L J,PASKEVICH V F,HATHAWAY J C,et al. A laboratory manual for X-ray powder diffraction[J]. US Geological Survey OpenFile Report,2001,1(41):1-88.
[23] DONALDSON E C, THOMAS R D, LORENZ P B. Wettability determination and its effect on recovery efficiency[J]. SPE Journal,1969,9(1):13-20.
[24] MORROW N R. Wettability and its effect on oil recovery[J]. Journal of Petroleum Technology,1990,42(12):1476-1484.
[25] ANDERSEN M A,THOMAS D C,TEETERS D C. A new formation wettability test:the dynamic wilhelmy plate wettability technique[R].SPE 17368,1988.
[26]曲岩涛,王建,李奋.油藏岩石润湿性测定方法:SY/T 5153—2007[S].北京:石油工业出版社,2007.
[27]陈志礼,宁正福,杜华明,等.基于改进BP神经网络的页岩吸附量预测模型[J].断块油气田,2018,25(2):208-212.
[28]王沛,欧阳传湘,陈宏生,等.应用PCA和多元非线性回归快速预测储层敏感性[J].断块油气田,2018,25(2):232-235.
[29] SPECHT D F. A general regression neural network[J]. IEEE Transactions on Neural Networks,1991,2(6):568-576.