低渗储层叠前地震反演方法研究

项目名称： 低渗储层叠前地震反演方法研究

项目编号： No.41204085

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 地球物理学和空间物理学

项目作者： 王保丽

作者单位： 中国石油大学（华东）

项目金额： 25万元

中文摘要： 低渗透油气藏占新发现油气藏的一半以上，开发潜力巨大，但储层复杂、勘探难度大，针对以上问题，以获得一套面向低渗储层的预测和识别技术为出发点，本项目在分析低渗储层特性的基础上，形成有效融合基于贝叶斯理论的优化反演方法和基于地质统计学的随机模拟为一体的叠前地震反演方法。选取与低渗储层特征相吻合的预处理矩阵为约束条件，开展基于贝叶斯理论的叠前非线性反演的优化处理，不仅可有效提高解的运算效率，还可增强反演解的稳定性和可靠性；把该反演解与基于地质统计学的随机模拟相结合可突破地震频宽的限制，获得高精度的波阻抗数据体，借助伽玛、孔隙度等非波阻抗资料，还可进行孔隙度等岩性参数的反演，为低渗储层的预测提供更加丰富多样的地下参数信息，有效提高储层预测精度，加强油藏工程师们对地下目的储层的认识程度，提高采收率，为低渗储层的勘探和开发提供技术支持和保障，对低渗储层的预测和描述具有重要意义。

中文关键词： 岩石物理模型；叠前反演；贝叶斯理论；随机反演；谱模拟

英文摘要： Low permeability reservoirs account for more than half of new found reservoirs,it has great potential of development, but reservoirs are complicated and difficult to be exploited. In order to get a set of prediction and recognition technology about the loe permeability reservoirs, based on the analysis about low permeability reservoir, this project proposed a prestack seismic inversion method which effectively integrate inversion method based on bayesian theory and stochastic simulation besed on geological statistics. When processing the nonlinear prestack inversion problem based on bayesian theory, select the pre-conditioning matrix that corresponding to low permeability reservoir as constraint to carry out the optimization process, not only can effectively improve the efficiency of the computation of the solution, but also enhance the stability and reliability of the inversion solution; the integration of this inversion result with stochastic simulation based on geological statistics can break the limits of seismic frequency width and get high precision impedance result, with gamma、porosity and other non-impedance data, the inversion of lithology parameters ,such as porosity, can be processed, which can get more diverse underground parameters for the prediction of low permeability reservoir. These results can

英文关键词： rock physics model；Pre-stack inversion；Bayesian theory；stochastic inversion；Spectrum simulation