三维上覆岩层压力计算方法研究
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摘要
提出一种基于单点算法假设的三维上覆岩层压力计算方法,能够利用三维密度数据准确计算三维上覆岩层压力。首先,利用测井约束地震反演技术求取三维密度数据体;然后,以单点算法和空间插值为基础利用密度反演数据逐点计算上覆岩层压力梯度;最后,再次借助空间插值技术重构三维上覆岩层压力体。该算法将单井约束和地质分层信息相结合,有效提高三维上覆岩层压力场的计算精度。根据三维上覆岩层压力计算方法编制相应的计算机程序,以酒东盆地营尔凹陷的一地震勘探区域为例计算该区域的三维上覆岩层压力梯度,并与该区域上的已钻井的单井上覆岩层压力梯度进行对比分析。对比结果证明该方法计算精度较高,可以满足工程需要。
This paper presents a new model for 3D overburden pressure estimation,which is based on single point algorithm hypothesis.In this model,the 3D seismic data is combined with drilled well information and geological stratification information,greatly improves the calculation precision of 3D overburden pressure field.This model consists of three steps:first,3D density volume is obtained by logging constrained seismic inversion;second,overburden pressure data is calculated from inversion density data point by point,on basis of single algorithm and spatial interpolation;finally,3D overburden pressure volume is rebuilt by spatial interpolation calculation.A computer program is developed,and a seismic zone of the Yinger depression in Jiudong basin is taken as a calculation example.Compared with the overburden pressure of drilled wells in this zone,the results proved the accuracy and applicability of this model.
This paper presents a new model for 3D overburden pressure estimation,which is based on single point algorithm hypothesis.In this model,the 3D seismic data is combined with drilled well information and geological stratification information,greatly improves the calculation precision of 3D overburden pressure field.This model consists of three steps:first,3D density volume is obtained by logging constrained seismic inversion;second,overburden pressure data is calculated from inversion density data point by point,on basis of single algorithm and spatial interpolation;finally,3D overburden pressure volume is rebuilt by spatial interpolation calculation.A computer program is developed,and a seismic zone of the Yinger depression in Jiudong basin is taken as a calculation example.Compared with the overburden pressure of drilled wells in this zone,the results proved the accuracy and applicability of this model.
引文
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[10]马立元,程克明,熊英,等.营尔凹陷原油生物标志物特征及油源对比[J].新疆石油地质,2006,27(1):32–34.(MA Liyuan,CHENG Keming,XIONG Ying,et al.Biomarker characteristic of crude oil and source correlation in Yinger Sag[J].Xinjiang Petroleum Geology,2006,27(1):32–34.(in Chinese))
[2]STEVE H.Pre-drill overburden estimation[R].[S.l.]:[s.n.],1999.
[3]薛亚东,高德利.深部地层压力智能识别方法[J].岩石力学与工程学报,2003,22(4):208–211.(XUE Yadong,GAO Deli.Intelligent recognition method of deep formation pore pressure[J].Chinese Journal of Rock Mechanics and Engineering,2003,22(4):208–211.(in Chinese))
[4]樊洪海,邢树彬,何辉.二维地层孔隙压力预测方法及应用[J].石油钻探技术,2007,35(4):6–8.(FAN Honghai,XING Shubin,HE Hui.A method and the application of two-dimensional formation pressure prediction[J].Petroleum Drilling Techniques,2007,35(4):6–8.(in Chinese))
[5]彭苏萍,邹冠贵,李巧灵.测井约束地震反演在煤厚预测中的应用研究[J].中国矿业大学学报,2008,37(6):729–733.(PEN Suping,ZOU Guangui,LI Qiaoling.Seam thickness prediction methods based on the logging constrained seismic inversion[J].Journal of China University of Mining and Technology,2008,37(6):729–733.(in Chinese))
[6]HONGHAI F,ZHI Y,RONGYI J.An integrated application of reducing uncertainties for 3D pore pressure prediction:a case study[R].SPE130390,2010.
[7]樊洪海.利用层速度预测砂泥岩地层孔隙压力单点算法模型[J].岩石力学与工程学报,2002,21(增):2 037–2 040.(FAN Honghai.Single point algorithm for pore pressure prediction of sand-shale formations using seismic interval velocity[J].Chinese Journal of Rock Mechanics and Engineering,2002,21(Supp.):2 037–2 040.(in Chinese))
[8]MORE H.Bayesian Kriging-Merging observations and qualified guesses in Kriging[J].Mathematical Geology,1987,19(1):25–39.
[9]牛文杰,朱大培,陈其明.贝叶斯残余克里金插值方法的研究[J].工程图学学报,2001,(2):68–76.(NIU Wenjie,ZHU Dapei,CHEN Qiming.Research of Bayesian Residual Kriging[J].Journal of Engineering Graphics,2001,(2):68–76.(in Chinese))
[10]马立元,程克明,熊英,等.营尔凹陷原油生物标志物特征及油源对比[J].新疆石油地质,2006,27(1):32–34.(MA Liyuan,CHENG Keming,XIONG Ying,et al.Biomarker characteristic of crude oil and source correlation in Yinger Sag[J].Xinjiang Petroleum Geology,2006,27(1):32–34.(in Chinese))
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