摘要：As a high-resolution geophysical method employed by the oil and gas industry, well logging can be used to accurately investigate reservoirs. Challenges associated with shale gas reservoir exploration increase the importance of applying elastic parameters or velocity at the logging scale. An efficient shale rock physics model is the foundation for the successful application of this method. We propose a procedure for modelling shale rock physics in which an appropriate modelling method is applied for different compositions of shale rock. The stiffnesses of the kerogen and fluid (oil, gas or water) mixture are obtained with the Kuster-Toksoz model, which assumes that the fluid is included in the kerogen matrix. A self-consistent approximation method is used to model clay, where the clay pores are filled with formation water. The Backus averaging model is then used to simulate the influence of laminated clay and laminated kerogen. Elastic parameter simulations using well logging data show the importance of treating the volume fractions of laminated clay and kerogen carefully. A comparison of the measured compressional slowness and modelled compressional slowness shows the efficiency of the proposed modelling procedure.

关键字：VELOCITY ATTENUATION ANISOTROPY

ISSN号：2045-2322

卷、期、页：卷: 8

发表日期：2018-08-14

期刊分区（SCI为中科院分区）：三区

收录情况：SCI（科学引文索引印刷版）,ESI（基本科学指标数据库）,SCIE（科学引文索引网络版）

发表期刊名称：SCIENTIFIC REPORTS

参与作者：路菁,金武军

通讯作者：陈玉蓉

第一作者：王兵

论文类型：期刊论文

论文概要：王兵,陈玉蓉,路菁,金武军，A rock physics modelling algorithm for simulating the elastic parameters of shale using well logging data，SCIENTIFIC REPORTS，2018，卷: 8

论文题目：A rock physics modelling algorithm for simulating the elastic parameters of shale using well logging data