基于叠前同时反演的地层压力预测及应用
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摘要
四川盆地及周边页岩气产量与压力系数存在明显的正相关关系。针对南川地区五峰组-龙马溪组地层压力预测过程中的难点,开展了井-震联合预测工作。以单井测井资料为基础,用实测数据作为约束,对比Eaton法和改进的Fillippone法压力预测结果,选择改进的Fillippone法为工区的压力预测模型并确定公式经验值。通过叠前同时反演获得高分辨率层速度数据,提高了压力预测精度。预测结果与实测对比,误差基本满足工程要求。预测目的层地层压力系数为0. 8～1. 6,工区西部、北部异常压力较大,连片特征较好,南部、东部趋于正常压力,可依据压力异常区来寻找有利钻探目标。
There is a significant positive correlation between shale gas production and formation pressure coefficient in Sichuan Basin and its surrounding areas. For solving problem in formation pressure prediction of Wufeng formation-Longmaxi formation in Nanchuan Area,the formation pressure was predicted by well to seismic integration. Based on well logging data,by using the measured data as constraint condition,the formation pressure was calculated by Eaton method and improved Fillippone method. After results comparison,the improved Fillippone method was selected as prediction model and formula empirical value was established. Seismic interval velocity was obtained from high resolution pre-stack simultaneous inversion so as to improve accuracy. Compared with measured data,the errors met engineering requirement basically. It is predicted that the formation pressure coefficient of Wufeng formation-Longmaxi formation is between 0. 8 and 1. 6. The high pressure mostly distribute in the western and northern while the eastern and southern pressure are normal. The drilling target can be found according to the abnormal pressure area.
There is a significant positive correlation between shale gas production and formation pressure coefficient in Sichuan Basin and its surrounding areas. For solving problem in formation pressure prediction of Wufeng formation-Longmaxi formation in Nanchuan Area,the formation pressure was predicted by well to seismic integration. Based on well logging data,by using the measured data as constraint condition,the formation pressure was calculated by Eaton method and improved Fillippone method. After results comparison,the improved Fillippone method was selected as prediction model and formula empirical value was established. Seismic interval velocity was obtained from high resolution pre-stack simultaneous inversion so as to improve accuracy. Compared with measured data,the errors met engineering requirement basically. It is predicted that the formation pressure coefficient of Wufeng formation-Longmaxi formation is between 0. 8 and 1. 6. The high pressure mostly distribute in the western and northern while the eastern and southern pressure are normal. The drilling target can be found according to the abnormal pressure area.
引文
1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):567-574Li Jinlei.Pressure prediction of Jiaoshiba shale gas reservoir in the Fuling shale gasfield[J].Geophysical Prospecting for Petroleum,2017,56(4):567-574
2屈大鹏,陈超,王明飞,等.川东南地区基于海相泥页岩地层的压力系数预测---以丁山区块为例[J].物探与化探,2016,40(2):349-352Qu Dapeng,Chen Chao,Wang Mingfei,et al.Researches based on the prediction methods of marine-shale pressure coefficients in southeastern Sichuan Basin:a case study of DS area[J].Geophysical and Geochemical Exploration,2016,40(2):349-352
3翟刚毅,王玉芳,包书景,等.我国南方海相页岩气富集高产主控因素及前景预测[J].地球科学,2017,42(7):1057-1068Zhai Gangyi,Wang Yufang,Bao Shujing,et al.Major factors controlling the accumulation and high productivity of marine shale gas and prospect forecast in southern China[J].Earth Science,2017,42(7):1057-1068
4刘洪林,王红岩,孙莎莎,等.南方海相页岩气超压特征及主要选区指标研究[J].天然气地球科学,2016,27(3):417-422Liu Honglin,Wang Hongyan,Sun Shasha,et al.The formation mechanism of over-pressure reservoir and target screening index in south China marine shale[J].Natural Gas Geoscience,2016,27(3):417-422
5管全中,董大忠,芦慧,等.异常高压对四川盆地龙马溪组页岩气藏的影响[J].新疆石油地质,2015,36(1):55-60Guan Quanzhong,Dong Dazhong,Lu Hui,et al.Influences of abnormal high pressure on Longmaxi shale gas reservoir in Sichuan Basin[J].Xinjiang Petroleum Geology,2015,36(1):55-60
6杨宝刚,潘仁芳,刘龙,等.四川盆地长宁示范区地质条件对页岩有机质的影响[J].科学技术与工程,2015,15(26):35-41Yang Baogang,Pan Renfang,Liu Long,et al.The influence of geological condition of Sichuan Basin Changning demonstration area on the development of organic matters in shale[J].Science Technology and Engineering,2015,15(26):35-41
7云美厚.地震地层压力预测[J].石油地球物理勘探,1996,31(4):575-586Yun Meihou.Seismic formation pressure prediction[J].Oil Geophysical Prospecting,1996,31(4):575-586
8王鸿升.异常高地层压力研究现状概述[J].油气地球物理,2015,13(4):58-63Wang Hongsheng.Summary of research status for abnormal high formation pressure[J].Petroleum Geophysics,2015,13(4):58-63
9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):580-585Shi Wanzhong,He Sheng,Chen Honghan.Application of joint inverse modeling of multi-seismic-attributes in predicting formation pressure[J].Geophysical Prospecting for Petroleum,2006,45(6):580-585
10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):276-279Guan Hong.Formation pressure prediction with well-constrained seismic inversion:a case from a sag in Bohai Bay Basin[J].Nature Gas Geoscience,2008,19(2):276-279
11倪冬梅,韩立国,宁媛丽,等.双谱速度分析下的地层压力预测[J].世界地质,2011,30(4):648-654Ni Dongmei,Han Liguo,Ning Yuanli,et al.Formation pressure prediction by analysis on bi-spectrum velocity[J].Global Geology,2011,30(4):648-654
12张兆辉,姚军,苏明军.井-震拟合反演压力系数技术及应用[J].天然气地球科学,2016,27(4):739-744Zhang Zhaohui,Yao Jun,Su Mingjun.Logging and seismic fitting inversion pressure coefficient technology and its application[J].Natural Gas Geoscience,2016,27(4):739-744
13王玉柱,孟召平,郭锐,等.华南古生界页岩储层压力预测方法及其应用研究[J].煤炭学报,2016,41(10):2631-2637Wang Yuzhu,Meng Zhaoping,Guo Rui,et al.Pore pressure prediction of Paleozoic shale reservoir in southern China and its application[J].Journal of China Coal Society,2016,41(10):2631-2637
14陈亚琳,郁飞,罗兵,等.四川盆地涪陵地区页岩储层压力预测及高压形成机制分析[J].石油实验地质,2018,40(1):110-117Chen Yalin,Yu Fei,Luo Bing,et al.Formation pressure prediction and high pressure formation mechanisms of shale reservoirs in Fuling Area,Sichuan Basin[J].Petroleum Geology&Experiment,2018,40(1):110-117
15胡华锋,胡起,林正良.页岩气储层地层压力预测方法及其在四川盆地的应用[J].石油物探,2018,57(3):362-368Hu Huafeng,Hu Qi,Lin Zhengliang.Pore pressure prediction for shale gas reservoirs and its application in the Sichuan Basin[J].Geophysical Prospecting for Petroleum,2018,57(3):362-368
16李玉凤,孙炜,何巍巍,等.基于叠前反演的泥页岩地层压力预测方法[J].岩性油气藏,2019,31(1):1-9Li Yufeng,Sun Wei,He Weiwei,et al.Prediction method of shale formation pressure based on pre-stack inversion[J].Lithologic Reservoirs,2019,31(1):1-9
17樊洪海,张传进.上覆岩层压力梯度合理计算及拟合方法[J].石油钻探技术,2002,30(6):6-8Fan Honghai,Zhang Chuanjin.Determination and regression of overburden pressure gradient[J].Petroleum Drilling Techniques,2002,30(6):6-8
2屈大鹏,陈超,王明飞,等.川东南地区基于海相泥页岩地层的压力系数预测---以丁山区块为例[J].物探与化探,2016,40(2):349-352Qu Dapeng,Chen Chao,Wang Mingfei,et al.Researches based on the prediction methods of marine-shale pressure coefficients in southeastern Sichuan Basin:a case study of DS area[J].Geophysical and Geochemical Exploration,2016,40(2):349-352
3翟刚毅,王玉芳,包书景,等.我国南方海相页岩气富集高产主控因素及前景预测[J].地球科学,2017,42(7):1057-1068Zhai Gangyi,Wang Yufang,Bao Shujing,et al.Major factors controlling the accumulation and high productivity of marine shale gas and prospect forecast in southern China[J].Earth Science,2017,42(7):1057-1068
4刘洪林,王红岩,孙莎莎,等.南方海相页岩气超压特征及主要选区指标研究[J].天然气地球科学,2016,27(3):417-422Liu Honglin,Wang Hongyan,Sun Shasha,et al.The formation mechanism of over-pressure reservoir and target screening index in south China marine shale[J].Natural Gas Geoscience,2016,27(3):417-422
5管全中,董大忠,芦慧,等.异常高压对四川盆地龙马溪组页岩气藏的影响[J].新疆石油地质,2015,36(1):55-60Guan Quanzhong,Dong Dazhong,Lu Hui,et al.Influences of abnormal high pressure on Longmaxi shale gas reservoir in Sichuan Basin[J].Xinjiang Petroleum Geology,2015,36(1):55-60
6杨宝刚,潘仁芳,刘龙,等.四川盆地长宁示范区地质条件对页岩有机质的影响[J].科学技术与工程,2015,15(26):35-41Yang Baogang,Pan Renfang,Liu Long,et al.The influence of geological condition of Sichuan Basin Changning demonstration area on the development of organic matters in shale[J].Science Technology and Engineering,2015,15(26):35-41
7云美厚.地震地层压力预测[J].石油地球物理勘探,1996,31(4):575-586Yun Meihou.Seismic formation pressure prediction[J].Oil Geophysical Prospecting,1996,31(4):575-586
8王鸿升.异常高地层压力研究现状概述[J].油气地球物理,2015,13(4):58-63Wang Hongsheng.Summary of research status for abnormal high formation pressure[J].Petroleum Geophysics,2015,13(4):58-63
9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):580-585Shi Wanzhong,He Sheng,Chen Honghan.Application of joint inverse modeling of multi-seismic-attributes in predicting formation pressure[J].Geophysical Prospecting for Petroleum,2006,45(6):580-585
10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):276-279Guan Hong.Formation pressure prediction with well-constrained seismic inversion:a case from a sag in Bohai Bay Basin[J].Nature Gas Geoscience,2008,19(2):276-279
11倪冬梅,韩立国,宁媛丽,等.双谱速度分析下的地层压力预测[J].世界地质,2011,30(4):648-654Ni Dongmei,Han Liguo,Ning Yuanli,et al.Formation pressure prediction by analysis on bi-spectrum velocity[J].Global Geology,2011,30(4):648-654
12张兆辉,姚军,苏明军.井-震拟合反演压力系数技术及应用[J].天然气地球科学,2016,27(4):739-744Zhang Zhaohui,Yao Jun,Su Mingjun.Logging and seismic fitting inversion pressure coefficient technology and its application[J].Natural Gas Geoscience,2016,27(4):739-744
13王玉柱,孟召平,郭锐,等.华南古生界页岩储层压力预测方法及其应用研究[J].煤炭学报,2016,41(10):2631-2637Wang Yuzhu,Meng Zhaoping,Guo Rui,et al.Pore pressure prediction of Paleozoic shale reservoir in southern China and its application[J].Journal of China Coal Society,2016,41(10):2631-2637
14陈亚琳,郁飞,罗兵,等.四川盆地涪陵地区页岩储层压力预测及高压形成机制分析[J].石油实验地质,2018,40(1):110-117Chen Yalin,Yu Fei,Luo Bing,et al.Formation pressure prediction and high pressure formation mechanisms of shale reservoirs in Fuling Area,Sichuan Basin[J].Petroleum Geology&Experiment,2018,40(1):110-117
15胡华锋,胡起,林正良.页岩气储层地层压力预测方法及其在四川盆地的应用[J].石油物探,2018,57(3):362-368Hu Huafeng,Hu Qi,Lin Zhengliang.Pore pressure prediction for shale gas reservoirs and its application in the Sichuan Basin[J].Geophysical Prospecting for Petroleum,2018,57(3):362-368
16李玉凤,孙炜,何巍巍,等.基于叠前反演的泥页岩地层压力预测方法[J].岩性油气藏,2019,31(1):1-9Li Yufeng,Sun Wei,He Weiwei,et al.Prediction method of shale formation pressure based on pre-stack inversion[J].Lithologic Reservoirs,2019,31(1):1-9
17樊洪海,张传进.上覆岩层压力梯度合理计算及拟合方法[J].石油钻探技术,2002,30(6):6-8Fan Honghai,Zhang Chuanjin.Determination and regression of overburden pressure gradient[J].Petroleum Drilling Techniques,2002,30(6):6-8
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