文献类型：期刊文献

英文题名：Numerical simulation of methane plumes based on effective medium theory

作者：You, Jiachun[1];Li, Canping[2];Cheng, Lifang[1];Liu, Xuewei[1];Ehsan, Muhammad Irfan[1]

机构：[1]China Univ Geosci, Sch Geophys & Informat Technol, Beijing 100083, Peoples R China;[2]Guangdong Ocean Univ, Lab Ocean Remote Sensing & Informat Technol, Zhanjiang 524088, Peoples R China

年份：2015

卷号：8

期号：11

起止页码：9089

外文期刊名：ARABIAN JOURNAL OF GEOSCIENCES

收录：SCI-EXPANDED(收录号：WOS:000363719600011)、、Scopus(收录号：2-s2.0-84945456561)、WOS

基金：The authors thank Professor XueWei Liu of China University of Geosciences, Beijing, for providing the seismic migration section and the bubble plumes migration section of the Shenhu area in the South China Sea. This work is financially supported by the National Natural Science Fund (grant no. 41306050 and no. 41104073) and the National High-Technology Research and Development Program (863 Program.2012AA09A404). The authors would like to thank the anonymous reviewers for their helpful comments which have improved the quality of the paper.

语种：英文

外文关键词：Methane plume; Effective medium theory; Reverse-time migration; Attribute analysis

外文摘要：Because they offer direct evidence of seafloor seeps and may indicate the presence of gas hydrates, methane plumes have attracted increasing research attention. Here, we attempt to understand the seismic response of methane plumes through simulation and analysing the characteristics of the seismic scattering wave field caused by methane plumes. Through forward modelling, stochastic medium theory was used to set the random distribution of bubbles, and effective medium theory is applied to create a bubble velocity model. We then used the finite-difference method to calculate the common shot gather. To achieve true amplitude migration of methane plumes, reverse-time migration method is introduced to perform it. To study the differences in seismic response to variable methane gas content and to establish the relationship between various attribute parameters and gas content, we create five models with gradually increasing gas contents. After imaging these five models, amplitude class attributes, frequency class attributes and phase class attributes are computed from the migration section, and a theoretical model between attributes and gas content is built. Through quantitative analysis of the change of attributes as a function of gas content, we find that amplitude class attributes vary more linearly with methane gas content than do the other two attribute classes. Therefore, we conclude that amplitude class attributes have most potential application for inversion of gas content in further exploration of bubble plumes.