摘要：Studies of frequency dependence of seismic data anomalies on partially gas-saturated reservoir have been performed for many years. Essentially, the frequency-dependent seismic signature represents a potential and largely untapped source of information for the detections of subsurface target properties. Through analyzing the anomalous feathers of amplitude variations with the angle of incidence and frequency (AVAF), both theoretically and algorithmically, it is possible to discriminate hydrocarbon from variations in other reservoir properties. For a layered structure model, however, it can be challenging to employ the conventional Zoeppritz equation-based method that may not accurately describe complex reflections considering the effects of both the layered structure of a reservoir and the attenuative and dispersive property of rocks. We introduce a novel hydrocarbon detection approach based on Bayesian inversion of frequency- and angle-dependent reflection signatures from a tight gas sandstone reservoir having strong attenuation and velocity dispersion. The proposed inversion scheme employs the propagator matrix method as a description of seismic responses for the stratified model and spectral decomposition technique to obtain multifrequency amplitude information. The synthetic test and real application show the proposed inversion approach has the potential to be useful in detections of hydrocarbon accumulation.

关键字：Reservoirs; Attenuation; Dispersion; Rocks; Bayes methods; Hydrocarbons; Bayesian inversion; AVAF; hydrocarbon detection; rock physics; spectral decomposition

ISSN号：1545-598X

卷、期、页：卷: 19

发表日期：2020-09-17

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）,地学领域高质量科技期刊分级目录（国外T1）,EI（工程索引）,SCIE（科学引文索引网络版）

发表期刊名称：IEEE Geoscience and Remote Sensing Letters

参与作者：吴新豫

第一作者：贺艳晓,王尚旭,袁三一,唐跟阳

论文类型：期刊论文

论文概要：贺艳晓,王尚旭,袁三一,唐跟阳,吴新豫，An Improved Approach for Hydrocarbon Detection Using Bayesian Inversion of Frequency- and Angle-Dependent Seismic Signatures of Highly Attenuative Reservoirs，IEEE Geoscience and Remote Sensing Letters，2020，卷: 19

论文题目：An Improved Approach for Hydrocarbon Detection Using Bayesian Inversion of Frequency- and Angle-Dependent Seismic Signatures of Highly Attenuative Reservoirs