Pore pressure prediction in orthotropic medium based on rock physics modeling of shale gas
Pore pressure prediction in orthotropic medium based on rock physics modeling of shale gas
复制标题
基于页岩气岩石物理模型的正交各向异性介质孔隙压力预测
DOI:
10.1016/j.jngse.2019.103091
复制
发表时间:
2020-02
影响因子:
--
通讯作者:
Zong Z
中科院分区:
文献类型:
--
作者:
Lei T;Yin Xingyao;Zong Z
Pore pressure prediction is critical to reducing drilling costs and exploring hydrocarbons. Current seismic approaches for pore pressure prediction mainly initially establish the relation between vertical effective stress and physical parameters (velocity, resistivity or porosity), and then predict pore pressures with the known effective stress theory. The commonly used Eaton's equation requires the estimation of normal compaction trend (NCT), which cannot be measured but only be inferred. However, the conventional NCT is a curve which is able to describe the normal trend but is relatively rough, limiting the accuracy of pore pressure prediction. In this study, the shale rock physics modeling in orthotropic (OA) medium is designed to equate the NCT. The modeled and the measured P-wave velocity match well in normal pore pressure segments, but they differ in abnormal pore pressure segments. The modeled NCT is utilized to predict pore pressures, and the comparison with the measured pore pressures proves that the accuracy can be improved. Then P-wave velocity is inverted from azimuthal seismic data based on the reflectivity approximation of OA medium, and the pore pressure of the research area is predicted using the modeled P-wave velocity (the target play is a shale gas field in Sichuan basin of China). The prediction result is consistent with the characteristics of overpressure mechanism of hydrocarbon generation, indicating the effectiveness of rock physics modeling in pore pressure prediction.
登录
查看更多内容
影响因子:
12.1
作者:
Jincai Zhang
通讯作者:
Jincai Zhang
影响因子:
--
作者:
Jingzhou Zhao;Jun Li;Zeyang Xu
通讯作者:
Zeyang Xu
影响因子:
3.5
作者:
L. Vernik;C. Landis
通讯作者:
L. Vernik;C. Landis
影响因子:
--
作者:
B. Das;R. Chatterjee
通讯作者:
B. Das;R. Chatterjee
影响因子:
2.6
作者:
Z. Zong;Xingyao Yin;Guo-chen Wu
通讯作者:
Z. Zong;Xingyao Yin;Guo-chen Wu