二维地层孔隙压力预测方法及应用
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摘要
由于地震层速度是地层压力预测的重要参数,其精度直接影响着压力预测的精度,利用测井约束下的波阻抗反演方法将测井、地震和地质解释成果结合获取较高精度的地震层速度,达到提高地层压力预测精度的目的。详细介绍了制作地震合成记录、建立初始地质模型、采用Strata反演软件进行反演计算、时深转换求得速度剖面的步骤,和利用地层压力检测预测应用软件读取速度剖面中每一道的速度,结合单点压力预测模型,求得对应的地层孔隙压力的方法。应用实例表明,地球物理反演方法和二维压力预测模型的结合是可行的,所求得的地层压力剖面可以指导钻井设计。
Seismic formation velocity is one of important parameters for formation pressure prediction,its precision affect the accuracy of the pressure prediction defectively.Using the wave impedance inversion method conditioned to well logging,the well logging data,seismic data and geologic interpretation were incorporated to obtain the better precision seismic formation velocity for the purpose of improving the precision of formation pressure prediction.This paper introduced how to make synthetic seismogram,how to built initial geological model,how to inverse using the software of STRATA and the procedures of obtaining the velocity profile through time and depth conversion.The formation pressure detection-prediction software was used to read velocity in the velocity profile,and the corresponding formation pressure was calculated combined with the single point pressure prediction model.The application results indicate that the combination of the geophysical inversion method and the formation pressure prediction model is feasible and the obtained formation pressure profile can guide the drilling design.
Seismic formation velocity is one of important parameters for formation pressure prediction,its precision affect the accuracy of the pressure prediction defectively.Using the wave impedance inversion method conditioned to well logging,the well logging data,seismic data and geologic interpretation were incorporated to obtain the better precision seismic formation velocity for the purpose of improving the precision of formation pressure prediction.This paper introduced how to make synthetic seismogram,how to built initial geological model,how to inverse using the software of STRATA and the procedures of obtaining the velocity profile through time and depth conversion.The formation pressure detection-prediction software was used to read velocity in the velocity profile,and the corresponding formation pressure was calculated combined with the single point pressure prediction model.The application results indicate that the combination of the geophysical inversion method and the formation pressure prediction model is feasible and the obtained formation pressure profile can guide the drilling design.
引文
[1]樊洪海.地层孔隙压力预测检测新方法研究[D].北京:石油大学(北京)石油天然气工程学院,2001.
[2]管志川,周广陈,王成立,等.冀东油田地层压力评价技术研究[J].石油钻探技术,1997,25(2):5-7.
[3]齐国强,王青云,王新兴.大庆油田调整井薄层固井技术[J].石油钻探技术,1998,26(3):31-33.
[4]程远方,徐同台.安全泥浆密度窗口的确立及应用[J].石油钻探技术,1999,27(3):16-18.
[5]张兰江,夏竹君,李志勇.复杂压力系统地层压力预测方法在文东油田的应用[J].石油钻探技术,2002,30(2):16-18.
[6]王永清,陈志学,于文华,等.青西油田地层压力预测技术的研究与应用[J].石油钻探技术,2005,33(4):29-31.
[7]张传进.初探井地层孔隙压力预测方法[J].石油钻探技术,2002,30(3):13-14.
[8]梁彩芳.测井及地震资料在钻井工程中的应用[J].石油钻探技术,2003,31(3):26-28.
[9]樊洪海,张传进.复杂地层地层孔隙压力求取新技术[J].石油钻探技术,2005,33(5):40-43.
[10]陈学国.三维地层压力预测方法及应用研究[J].石油钻探技术,2005,33(3):13-15.
[11]马劲风,王学军,贾春环,等.波阻抗反演中的约束方法研究[J].石油物探,2000,39(2):52-63.
[12]王家映.地球物理反演理论[M].第二版.北京:高等教育出版社,2002.
[13]姚姚.地球物理反演基本理论与应用方法[M].湖北武汉:中国地质大学出版社,2000.
[14]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):6-8.
[15]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):2037-2040.
[2]管志川,周广陈,王成立,等.冀东油田地层压力评价技术研究[J].石油钻探技术,1997,25(2):5-7.
[3]齐国强,王青云,王新兴.大庆油田调整井薄层固井技术[J].石油钻探技术,1998,26(3):31-33.
[4]程远方,徐同台.安全泥浆密度窗口的确立及应用[J].石油钻探技术,1999,27(3):16-18.
[5]张兰江,夏竹君,李志勇.复杂压力系统地层压力预测方法在文东油田的应用[J].石油钻探技术,2002,30(2):16-18.
[6]王永清,陈志学,于文华,等.青西油田地层压力预测技术的研究与应用[J].石油钻探技术,2005,33(4):29-31.
[7]张传进.初探井地层孔隙压力预测方法[J].石油钻探技术,2002,30(3):13-14.
[8]梁彩芳.测井及地震资料在钻井工程中的应用[J].石油钻探技术,2003,31(3):26-28.
[9]樊洪海,张传进.复杂地层地层孔隙压力求取新技术[J].石油钻探技术,2005,33(5):40-43.
[10]陈学国.三维地层压力预测方法及应用研究[J].石油钻探技术,2005,33(3):13-15.
[11]马劲风,王学军,贾春环,等.波阻抗反演中的约束方法研究[J].石油物探,2000,39(2):52-63.
[12]王家映.地球物理反演理论[M].第二版.北京:高等教育出版社,2002.
[13]姚姚.地球物理反演基本理论与应用方法[M].湖北武汉:中国地质大学出版社,2000.
[14]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):6-8.
[15]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):2037-2040.
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