纵横波联合反演在储层预测中的应用——以沾化凹陷罗家地区沙一段生物灰岩为例  

Application of compressional and shear wave joint-inversion in prediction of reservoir-an example of biological limestone in Es_1 of the Shahejie formation in Luojia area of Zhanhua sag

作　　者：刘玉珍[1] 

机构地区：[1]中国石化胜利油田分公司物探研究院,山东东营257022

出　　处：《油气地质与采收率》2014年第3期45-47,51,共4页Petroleum Geology and Recovery Efficiency

基　　金：国家"863"计划"油藏地球物理关键技术"(2011AA060300)

摘　　要：目前油气勘探中单纯依靠纵波数据反演的结果存在多解性。利用纵波和转换横波地震数据进行联合反演,可以有效提高对横波阻抗的计算精度以及储层预测的可靠性。针对罗家地区沙一段生物灰岩储层岩性横向变化较大,常规纵波叠前反演难以准确预测储层及油水分布的问题,利用多波多分量地震勘探技术,开展纵横波联合反演研究,通过纵横波联合标定、转换横波压缩匹配,构造精细解释等方法建立联合反演初始模型,进而求取对岩性和流体敏感的纵横波速度比、密度等适用于储层预测与油藏描述的弹性参数。实际应用结果表明,纵横波联合反演得到的弹性参数能够识别沙一段生物灰岩储层变化,同时也能够反映储层流体分布,与研究区该层段56口井实钻资料的吻合率达到85%。At present, depending only on the P wave inversion may result in multiple solutions in the exploration of oil and gas. Usingthe technology of the joint inversion of P wave and converted wave seismic data, it can effectively improve the shear wave impedancecalculation accuracy and reliability of reservoir prediction. Due to the change of the reservoir lithology in Es1 of the Shahejie formationof Luojia area, it's difficult to accurately predict reservoir and oil water distribution only through conventional P-wave prestacking in-version. However, based on the multi-wave and multi-component seismic exploration technology, and by means of the study of joint in-version, it can realize the joint calibration and compression matching of transformed S wave, as well as the fine structure interpretation,so as to construct the initial joint inversion model, and then, we can obtain the elastic parameters for reservoir prediction and descrip-tion, such as the compressional and shear wave velocity ratio and the density. The application results show that the elastic parameters,and compressional and shear wave joint inversion can not only identify Es1 biolithite limestone reservoir variation, but also reflect thereservoir fluiddistribution. Compared with the 85 wellsin the study area, theresult maycoincideup to 85%.

关 键 词：纵横波联合反演 纵横波速度比 储层预测 生物灰岩 罗家地区 

分 类 号：P631.44[天文地球—地质矿产勘探]