裂缝-孔隙型页岩气储层岩石物理建模及物性参数预测  

Rock physics modeling of fractured-porous shale reservoirs and petrophysical parameters prediction

作　　者：刘姝娴 李晓明[2] 李勇根[2] 桂志先[1] LIU ShuXian;LI XiaoMing;LI YongGen;GUI ZhiXian(College of Geophysics and Petroleum Resources,Yangtze University,Wuhan 430100,China;Research Institute of Petroleum Exploration and Development,PetroChina,Beijing 100083,China)

机构地区：[1]长江大学地球物理与石油资源学院,武汉430100 [2]中国石油勘探开发研究院,北京100083

出　　处：《地球物理学进展》2024年第2期594-605,共12页Progress in Geophysics

基　　金：中国石油天然气集团有限公司科学研究与技术开发项目(2021DJ3704)对应子课题名称“薄储层高分辨率地震预测技术研究”;中国石油天然气集团有限公司科学研究与技术开发项目(2021D0606)对应子课题名称“复杂气藏地需识别与预测技术研究”联合资助。

摘　　要：考虑页岩复杂孔隙结构和富有机质特征,本文综合利用Voigt-Reuss-Hill平均,包含物模型,线性滑动理论和各向异性Gassmann方程,构建了富有机质的裂缝-孔隙型页岩气储层岩石物理模型.基于所建模型,分别探究了孔隙度、干酪根含量、裂缝体积和泥质含量等物性参数对岩石弹性响应特征的影响,建立了纵横波阻抗-纵横波速度比的各向异性岩石物理模板,并结合目标工区的A井对所建二维岩石物理模板进行验证.投影的散点数据分布特征与模板的整体变化趋势基本一致,证实了所建二维各向异性岩石物理模板可应用于页岩气储层物性参数的预测.此外,利用提出的各向异性岩石物理模型针对目标工区A井进行了横波速度预测,预测的横波速度和实测数值吻合较好,进一步验证了所建模型的实用性.最后,基于所建模型和快速模拟退火算法,选择一条过井地震测线开展了总有机碳(TOC)含量和泥质含量空间分布预测.实际应用结果表明,页岩气储层TOC含量和泥质含量的预测结果与测井解释吻合较好,证明了所建模型在页岩储层的物性参数预测的有效性和可行性.Concerning the complex pore structures and organic-rich characteristics of shale reservoirs,we establish an anisotropic rock physics modeling scheme,for the organic-rich fractured-porous shale reservoirs by using the Voigt-Reuss-Hill average,the inclusion-based model,the Schoenberg's model,as well as the anisotropic Gassmann equation.Based on the developed model,we investigate the effects of total porosity,kerogen content,fracture volume and shale content on the elastic responses in detail.Then,an anisotropic 2D rock physics template of the P-wave impedance versus Vp/Vs ratio is constructed and tested using well-log data acquired at well A in the study area.The alignment of the superimposed data clusters is consistent with the variation trend of the template,demonstrating that the built anisotropic template shows promise in interpreting the reservoir parameters of shale reservoirs.In addition,we predict the shear wave velocity for well A based on the developed model.The good agreement between the measured and predicted values validates the practicability of our model.Finally,we choose a cross-well seismic data to predict the spatial distribution of the Total Organic Carbon(TOC)content and shale content based on the proposed model and the very fast simulated annealing algorithm.The application result shows that the predicted TOC content and shale content both match well with those logging interpretation results,confirming the effectiveness and reliability of the developed model in predicting shale reservoir properties.

关 键 词：裂缝-孔隙型页岩 岩石物理建模 各向异性岩石物理模板 物性参数预测 

分 类 号：P631[天文地球—地质矿产勘探]