松辽盆地青山口组泥页岩孔隙压力预测方法及其应用
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摘要
泥页岩油气产能与异常高压存在一定的正比关系,通常异常压力越大油气产量越高,因此地层孔隙压力预测的准确性对于"甜点"区优选有重要意义。以松辽盆地北部某区块青山口组为例,首先以单井测井资料为基础,用实测压力数据作为质控条件,优选出适合该区块目的层孔隙压力的计算模型及相应参数,然后基于叠前地质统计学反演得到的高分辨率地震速度体,利用优选出的压力模型进行井震结合孔隙压力体和压力系数体预测。研究结果表明,Bowers法适用于松辽盆地青山口组泥页岩储层孔隙压力预测,且预测结果精度高。研究成果可为泥页岩油有利钻探目标优选提供技术支撑。
There is a certain relationship between the hydrocarbon productivity and the abnormal high pressure for the mud shale reservoir,in general,the higher the abnormal pressure is,the greater the hydrocarbon production will be,therefore,the accuracy of the pore pressure prediction is of great significance for the optimization of "the sweet point" area. Taking Qingshankou Formation of one block in North Songliao Basin as an example,on the basis of the individual well log data,regarding the measured pressure data as the quality control condition,the calculating model and its corresponding parameters of the pore pressure were optimized for the target layer in the block,and then with the help of the high-resolution seismic velocity body gained by the pre-stack geo-statistics inversion,and moreover by means of the optimized pressure model,the pore pressure body and pressure coefficient body of the well-seismic integration were predicted. The study results show that Bowers Method is suitable for the pore pressure prediction of the mud-shale reservoir in Qingshankou Formation of Songliao Basin and furthermore the predicted precision is pretty higher,so the results can provide the technical support for the optimization of the favorable drilling target in the mud-shale oil reservoirs.
There is a certain relationship between the hydrocarbon productivity and the abnormal high pressure for the mud shale reservoir,in general,the higher the abnormal pressure is,the greater the hydrocarbon production will be,therefore,the accuracy of the pore pressure prediction is of great significance for the optimization of "the sweet point" area. Taking Qingshankou Formation of one block in North Songliao Basin as an example,on the basis of the individual well log data,regarding the measured pressure data as the quality control condition,the calculating model and its corresponding parameters of the pore pressure were optimized for the target layer in the block,and then with the help of the high-resolution seismic velocity body gained by the pre-stack geo-statistics inversion,and moreover by means of the optimized pressure model,the pore pressure body and pressure coefficient body of the well-seismic integration were predicted. The study results show that Bowers Method is suitable for the pore pressure prediction of the mud-shale reservoir in Qingshankou Formation of Songliao Basin and furthermore the predicted precision is pretty higher,so the results can provide the technical support for the optimization of the favorable drilling target in the mud-shale oil reservoirs.
引文
[1]陈子剑,邓金根,蔚宝华.探井孔隙压力复合预测方法研究[J].特种油气藏,2016,23(1):25-27.
[2]赵军,曹强,叶加仁,等.基于地震速度预测南堡凹陷中深层地层压力[J].油气地质与采收率,2016,23(4):34-40.
[3]王斌,雍学善,潘建国,等.低渗透储层孔隙流体压力预测方法及应用[J].地球物理学进展,2015,30(2):695-699.
[4]周东红,熊晓军.一种高精度地层压力预测方法[J].石油地球物理勘探,2014,49(2):344-348.
[5]徐春露,孙建孟,董旭,等.页岩气储层孔隙压力测井预测新方法[J].石油学报,2017,38(6):666-676.
[6]邹玮,孙鹏,张书平,等.西湖凹陷钻前压力预测技术及应用[J].海洋地质前沿,2016,32(8):47-51.
[7]吴波,王荐,潘树林,等.基于高低频速度闭合技术的地层压力预测[J].石油物探,2017,56(4):575-580.
[8]李金磊.涪陵焦石坝页岩气层压力预测技术研究[J].石油物探,2017,56(4):567-574.
[9]时贤,程远方,梅伟.基于测井资料的地层孔隙压力预测方法研究[J].石油天然气学报,2012,34(8):94-98.
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[11] Eaton B A. The equation for geopressure prediction from well logs[R]. SPE 5544-MS,1975:1-5.
[12]帕尔哈提,雷德文,邵雨.准噶尔盆地复杂地区地层压力预测方法研究及应用[J].地球物理学进展,2009,24(4):1377-1383.
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[14] Fillippone W R. Estimation of formation parameters and the prediction of overpressure from seismic data[J]. Seg Technical Program Expanded Abstracts,1982,1(1):482-483.
[15]刘震,张万选,张厚福,等.辽西凹陷北洼下第三系异常地层压力分析[J].石油学报,1993,14(1):14-24.
[16] Han D H,Nur A,Morgan F D. Effects of porosity and clay content on wave velocities in sandstones[J]. Geophysics,1986,51(11):2093-2107.
[17] Terzaghi K. Theoretical Soil Mechanics[M]. New York:John Wiley and Sons,1943.
[18] Bowers G L. Pore pressure estimation from velocity data:accounting for overpressure mechanisms besides undercompaction[J].SPE 27488,1995,10(2):515-530.
[19]徐宝荣,许海涛,于宝利,等.异常地层压力预测技术在准噶尔盆地的应用[J].新疆石油地质,2015,36(5):597-601.
[20]刘方,陈剑军.地质统计学反演预测地层压力的方法[J].工业技术创新,2015,2(3):366-369.
[21] Osborne M J. Mechanisms for generating overpressure in sedimentary basins:A reevaluation[J]. AAPG Bulletin,1999,90(81):1023-1041.
[22]杨振平,吴波,王勇. Eaton法预测M油田地层孔隙压力[J].石油天然气学报,2012,34(9):181-182.
[23]李山生.博兴洼陷地层孔隙压力测井评价研究[J].测井技术,2013,37(2):169-172.
[24]张凯,邹冠贵,朱莎.测井约束地震反演预测采区地层压力研究[J].煤炭工程,2013,45(12):81-83.
[25]艾池,冯福平,李洪伟,等.地层压力预测技术现状及发展趋势[J].石油地质与工程,2007,21(6):71-76.
[26]王冬梅,吴广民.地层压力计算模型及其现场应用[J].大庆石油地质与开发,2007,26(4):84-87.
[27]楼一珊,张学亮,王语英,等.底层坍塌压力预测技术在钟市地区的应用[J].石油钻探技术,1999,27(3):12-13.
[28]常文会,秦绪英.地层压力预测技术[J].勘探地球物理进展,2005,28(5):314-319.
[29]赵国.加密调整井钻井地层压力预测方法研究与应用[D].大庆:大庆石油学院,2009.
[30]张卫华,何生,郭金仕.地震资料预测压力方法和展望[J].地球物理学进展,2005,20(3):814-817.
[31]王湘平.随钻地层压力动态监测技术研究[D].北京:中国地质大学,2014.
[32]孙武亮,孙开峰.地震地层压力预测综述[J].勘探地球物理进展,2007,30(6):428-432.
[33]国春香,郭淑文,翟桐立,等.地震压力系数预测在深层天然气勘探中的应用[J].物探与化探,2017,41(5):852-855.
[34]管红.井约束地震反演预测地层压力的方法:以渤海湾盆地某凹陷为例[J].天然气地球科学,2008,19(2):276-279.
[35]石万忠,何生,陈红汉.多地震属性联合反演在地层压力预测中的应用[J].石油物探,2006,45(6):580-585.
[36]孙晶.松辽盆地青一段原油及烃源岩中正构烷烃的氢同位素组成[J].大庆石油地质与开发,2014,33(3):39-42.
[2]赵军,曹强,叶加仁,等.基于地震速度预测南堡凹陷中深层地层压力[J].油气地质与采收率,2016,23(4):34-40.
[3]王斌,雍学善,潘建国,等.低渗透储层孔隙流体压力预测方法及应用[J].地球物理学进展,2015,30(2):695-699.
[4]周东红,熊晓军.一种高精度地层压力预测方法[J].石油地球物理勘探,2014,49(2):344-348.
[5]徐春露,孙建孟,董旭,等.页岩气储层孔隙压力测井预测新方法[J].石油学报,2017,38(6):666-676.
[6]邹玮,孙鹏,张书平,等.西湖凹陷钻前压力预测技术及应用[J].海洋地质前沿,2016,32(8):47-51.
[7]吴波,王荐,潘树林,等.基于高低频速度闭合技术的地层压力预测[J].石油物探,2017,56(4):575-580.
[8]李金磊.涪陵焦石坝页岩气层压力预测技术研究[J].石油物探,2017,56(4):567-574.
[9]时贤,程远方,梅伟.基于测井资料的地层孔隙压力预测方法研究[J].石油天然气学报,2012,34(8):94-98.
[10] Hottman C E,Johnson R K. Estimation of formation pressures from log-derived shale properties[J]. Journal of Petroleum Technology,1965,17(6):717-722.
[11] Eaton B A. The equation for geopressure prediction from well logs[R]. SPE 5544-MS,1975:1-5.
[12]帕尔哈提,雷德文,邵雨.准噶尔盆地复杂地区地层压力预测方法研究及应用[J].地球物理学进展,2009,24(4):1377-1383.
[13] Fillippone W R. On the prediction of abnormally pressured sedimentary rocks from seismic data[C]//Offshore Technology Conference,1979:2667-2669.
[14] Fillippone W R. Estimation of formation parameters and the prediction of overpressure from seismic data[J]. Seg Technical Program Expanded Abstracts,1982,1(1):482-483.
[15]刘震,张万选,张厚福,等.辽西凹陷北洼下第三系异常地层压力分析[J].石油学报,1993,14(1):14-24.
[16] Han D H,Nur A,Morgan F D. Effects of porosity and clay content on wave velocities in sandstones[J]. Geophysics,1986,51(11):2093-2107.
[17] Terzaghi K. Theoretical Soil Mechanics[M]. New York:John Wiley and Sons,1943.
[18] Bowers G L. Pore pressure estimation from velocity data:accounting for overpressure mechanisms besides undercompaction[J].SPE 27488,1995,10(2):515-530.
[19]徐宝荣,许海涛,于宝利,等.异常地层压力预测技术在准噶尔盆地的应用[J].新疆石油地质,2015,36(5):597-601.
[20]刘方,陈剑军.地质统计学反演预测地层压力的方法[J].工业技术创新,2015,2(3):366-369.
[21] Osborne M J. Mechanisms for generating overpressure in sedimentary basins:A reevaluation[J]. AAPG Bulletin,1999,90(81):1023-1041.
[22]杨振平,吴波,王勇. Eaton法预测M油田地层孔隙压力[J].石油天然气学报,2012,34(9):181-182.
[23]李山生.博兴洼陷地层孔隙压力测井评价研究[J].测井技术,2013,37(2):169-172.
[24]张凯,邹冠贵,朱莎.测井约束地震反演预测采区地层压力研究[J].煤炭工程,2013,45(12):81-83.
[25]艾池,冯福平,李洪伟,等.地层压力预测技术现状及发展趋势[J].石油地质与工程,2007,21(6):71-76.
[26]王冬梅,吴广民.地层压力计算模型及其现场应用[J].大庆石油地质与开发,2007,26(4):84-87.
[27]楼一珊,张学亮,王语英,等.底层坍塌压力预测技术在钟市地区的应用[J].石油钻探技术,1999,27(3):12-13.
[28]常文会,秦绪英.地层压力预测技术[J].勘探地球物理进展,2005,28(5):314-319.
[29]赵国.加密调整井钻井地层压力预测方法研究与应用[D].大庆:大庆石油学院,2009.
[30]张卫华,何生,郭金仕.地震资料预测压力方法和展望[J].地球物理学进展,2005,20(3):814-817.
[31]王湘平.随钻地层压力动态监测技术研究[D].北京:中国地质大学,2014.
[32]孙武亮,孙开峰.地震地层压力预测综述[J].勘探地球物理进展,2007,30(6):428-432.
[33]国春香,郭淑文,翟桐立,等.地震压力系数预测在深层天然气勘探中的应用[J].物探与化探,2017,41(5):852-855.
[34]管红.井约束地震反演预测地层压力的方法:以渤海湾盆地某凹陷为例[J].天然气地球科学,2008,19(2):276-279.
[35]石万忠,何生,陈红汉.多地震属性联合反演在地层压力预测中的应用[J].石油物探,2006,45(6):580-585.
[36]孙晶.松辽盆地青一段原油及烃源岩中正构烷烃的氢同位素组成[J].大庆石油地质与开发,2014,33(3):39-42.