地震相控非线性随机反演在阿姆河盆地A区块碳酸盐岩储层预测中的应用
|
摘要
文中针对阿姆河盆地A区块碳酸盐岩储层对纵波属性敏感的特性,以地质、测井信息为约束条件,通过拾取三维地震波的速度、有效振幅、频率等信息,应用地震相控非线性随机反演,对A区块主要目的层的储层分布特征进行了预测,获得以下认识:①阿姆河盆地A区块碳酸盐岩具层状反射特征,顶、底界为两组强反射,内部可以看到成层性较好、连续分布的反射波,碳酸盐岩储集空间主要以孔隙型为主,裂缝不发育,偶见微型溶孔、溶洞;②在研究区平面上的低速异常区为碳酸盐岩储层发育区带,低速异常区主要位于工区偏南部的东、西两端,其余大部分为较高的速度发育区,在构造高部位的低速异常带为有利钻探位置;③垂向上不同岩性在反演剖面上表现为不同的速度特征,即浅部的碎屑岩速度最低,中部膏盐层速度明显高于上部碎屑岩,下部碎屑岩层受压实作用影响速度高于上部碎屑岩层,主要目的层碳酸盐岩的速度最高。根据预测结果部署的两口探井均产出高产天然气流,证明地震相控非线性随机反演的预测结果准确、可靠。
Focus on carbonate reservoir characteristics sensitive to P-wave attributes in Block A of Amu-darya Basin,we picked the velocity,amplitude and frequency from 3D seismic data constrained by geological and logging data,and then we applied facies-controlled nonlinear random inversion for carbonate reservoir prediction in Block A of Amu-darya Basin.The following observations were obtained.First,carbonate rocks have bedded features in Block A of Amu-darya Basin.Two strong reflections were found at the top and the bottoms of carbonate rocks.Reflections are continuous in intervals.Carbonate reservoirs are mainly porous with few caves but very few fractures.Secondly,carbonate reservoirs are mainly shown as low velocity zones,located the southeast and northeast in the study area.Low velocity zones on the structure crest are favorable drilling location.Thirdly,different lithology is shown as different velocity on inversion sections.The velocity of the upper clastic rock is the lowest,and the velocity of the anhydrite and salt rocks in the middle is higher than the upper clastic rock.And the velocity of the underlying clastic rock is higher the upper one.The velocity of the carbonate reservoir is highest.Two wells drilled on the favorable location predicted by the facies-controlled nonlinear random inversion produce large-duty gas.This demonstrated that the facies-controlled nonlinear random inversion is accurate and reliable.
Focus on carbonate reservoir characteristics sensitive to P-wave attributes in Block A of Amu-darya Basin,we picked the velocity,amplitude and frequency from 3D seismic data constrained by geological and logging data,and then we applied facies-controlled nonlinear random inversion for carbonate reservoir prediction in Block A of Amu-darya Basin.The following observations were obtained.First,carbonate rocks have bedded features in Block A of Amu-darya Basin.Two strong reflections were found at the top and the bottoms of carbonate rocks.Reflections are continuous in intervals.Carbonate reservoirs are mainly porous with few caves but very few fractures.Secondly,carbonate reservoirs are mainly shown as low velocity zones,located the southeast and northeast in the study area.Low velocity zones on the structure crest are favorable drilling location.Thirdly,different lithology is shown as different velocity on inversion sections.The velocity of the upper clastic rock is the lowest,and the velocity of the anhydrite and salt rocks in the middle is higher than the upper clastic rock.And the velocity of the underlying clastic rock is higher the upper one.The velocity of the carbonate reservoir is highest.Two wells drilled on the favorable location predicted by the facies-controlled nonlinear random inversion produce large-duty gas.This demonstrated that the facies-controlled nonlinear random inversion is accurate and reliable.
引文
[1]贺振华,黄德济等.复杂油气藏地震波场特征方法理论及应用.成都:四川科学技术出版社,1999
[2]黄捍东,魏修成等.碳酸盐岩裂缝性储层研究的地质物理基础.石油地球物理勘探,2001,36(5):591~596,639Huang Han-dong,Wei Xiu-cheng et al.Geology-physical bases of studying carbonate-fractured reser-voir.OGP,36(5):591~596,639
[3]贾豫葛,李小凡等.地震波非线性反演方法研究综述.防灾减灾工程学报,2005,25(3):345~351Jia Yu-ge,Li Xiao-fan et al.Summarization of researchon seismic wave nonlinear inversion method.Journalof Disaster Prevention and Mitigation Engineering,2005,25(3):345~351
[4]马在田,王华忠.地震数据反演中的非线性问题.自然杂志,1995,17(2):78~86Ma Zai-tian and Wang Hua-zhong.Nonllncar problemin seismic data inversion.Chinese Journal of Nature,1995,17(2):78~86
[5]Pica A,Diet J P,Tarantola A.Nomlinear inversion ofseismic reflection datain alaterallyinvariant medium.Geophysics,1990,55(1):284~292
[6]Crase E,Pica A,Noble Met al.Robust elastic non-linear waveforminversion:Application to real data.Geophysics,1990,55(2):527~538
[7]师学明,王家映.地球物理资料非线性反演方法讲座(三)——模拟退火法.工程地球物理学报,2007,4(3):165~174Shi Xue-ming and Wang Jia-ying.Si mulated annea-ling method.Chinese Journal of Engineering Geo-physics,2007,4(3):165~174
[8]王家映.地球物理资料非线性反演方法讲座(五)——人工神经网络反演法.工程地球物理学报,2008,5(3):255~265Wang Jia-ying.The artificial neural network method.Chinese Journal of Engineering Geophysics,2008,5(3):255~265
[9]罗红明,王家映,师学明,朱培民.地球物理资料非线性反演方法讲座(八)——量子遗传算法.工程地球物理学报,2008,5(6):635~642Luo Hong-ming,Wang Jia-ying,Shi Xue-ming andZhu Pei-min.Quantum genetic algorithm and its ap-plicatonin geophysical inversion.Chinese Journal ofEngineering Geophysics,2008,5(6):635~642
[10]姜亮,黄捍东,魏修成,贺振华.地震道的非线性约束反演.石油地球物理勘探,2003,38(4):435~438Jiang Liang,Huang Han-dong,Wei Xiu-cheng and HeZhen-hua.Non-linear constrained inversion of seismicdata.OGP,2003,38(4):435~438
[11]黄捍东,张如伟等.地震非线性随机反演方法在陆相薄砂岩储层预测中的应用.石油学报,2009,30(3):340~386Huang Han-dong,Zhang Ru-wei et al.Research onapplication of seismic nonlinear random inversion toreservoir predictionin the thin sandstone of continen-tal deposits.Acta Petrolem Sinica,2009,30(3):340~386
[2]黄捍东,魏修成等.碳酸盐岩裂缝性储层研究的地质物理基础.石油地球物理勘探,2001,36(5):591~596,639Huang Han-dong,Wei Xiu-cheng et al.Geology-physical bases of studying carbonate-fractured reser-voir.OGP,36(5):591~596,639
[3]贾豫葛,李小凡等.地震波非线性反演方法研究综述.防灾减灾工程学报,2005,25(3):345~351Jia Yu-ge,Li Xiao-fan et al.Summarization of researchon seismic wave nonlinear inversion method.Journalof Disaster Prevention and Mitigation Engineering,2005,25(3):345~351
[4]马在田,王华忠.地震数据反演中的非线性问题.自然杂志,1995,17(2):78~86Ma Zai-tian and Wang Hua-zhong.Nonllncar problemin seismic data inversion.Chinese Journal of Nature,1995,17(2):78~86
[5]Pica A,Diet J P,Tarantola A.Nomlinear inversion ofseismic reflection datain alaterallyinvariant medium.Geophysics,1990,55(1):284~292
[6]Crase E,Pica A,Noble Met al.Robust elastic non-linear waveforminversion:Application to real data.Geophysics,1990,55(2):527~538
[7]师学明,王家映.地球物理资料非线性反演方法讲座(三)——模拟退火法.工程地球物理学报,2007,4(3):165~174Shi Xue-ming and Wang Jia-ying.Si mulated annea-ling method.Chinese Journal of Engineering Geo-physics,2007,4(3):165~174
[8]王家映.地球物理资料非线性反演方法讲座(五)——人工神经网络反演法.工程地球物理学报,2008,5(3):255~265Wang Jia-ying.The artificial neural network method.Chinese Journal of Engineering Geophysics,2008,5(3):255~265
[9]罗红明,王家映,师学明,朱培民.地球物理资料非线性反演方法讲座(八)——量子遗传算法.工程地球物理学报,2008,5(6):635~642Luo Hong-ming,Wang Jia-ying,Shi Xue-ming andZhu Pei-min.Quantum genetic algorithm and its ap-plicatonin geophysical inversion.Chinese Journal ofEngineering Geophysics,2008,5(6):635~642
[10]姜亮,黄捍东,魏修成,贺振华.地震道的非线性约束反演.石油地球物理勘探,2003,38(4):435~438Jiang Liang,Huang Han-dong,Wei Xiu-cheng and HeZhen-hua.Non-linear constrained inversion of seismicdata.OGP,2003,38(4):435~438
[11]黄捍东,张如伟等.地震非线性随机反演方法在陆相薄砂岩储层预测中的应用.石油学报,2009,30(3):340~386Huang Han-dong,Zhang Ru-wei et al.Research onapplication of seismic nonlinear random inversion toreservoir predictionin the thin sandstone of continen-tal deposits.Acta Petrolem Sinica,2009,30(3):340~386
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心