Quantitative evaluation of gas hydrate reservoir by AVO attributes analysis based on the Brekhovskikh equation
文献类型：期刊论文
| 作者 | Wang, Yao1,2,3; Wang, Yan-Fei1,2,3 |
| 刊名 | PETROLEUM SCIENCE
 |
| 出版日期 | 2023-08-01 |
| 卷号 | 20期号:4页码:2045-2059 |
| ISSN号 | 1672-5107 |
| 关键词 | Natural gas hydrate Brekhovskikh equation AVO attributes Random forest |
| DOI | 10.1016/j.petsci.2023.02.008 |
| 英文摘要 | AVO (Amplitude variation with offset) technology is widely used in gas hydrate research. BSR (Bottom simulating reflector), caused by the huge difference in wave impedance between the hydrate reservoir and the underlying free gas reservoir, is the bottom boundary mark of the hydrate reservoir. Analyzing the AVO attributes of BSR can evaluate hydrate reservoirs. However, the Zoeppritz equation which is the theoretical basis of conventional AVO technology has inherent problems: the Zoeppritz equation does not consider the influence of thin layer thickness on reflection coefficients; the approximation of the Zoeppritz equation assumes that the difference of wave impedance between the two sides of the interface is small. These assumptions are not consistent with the occurrence characteristics of natural gas hydrate. The Brekhovskikh equation, which is more suitable for thin-layer reflection coefficient calculation, is used as the theoretical basis for AVO analysis. The reflection coefficients calculated by the Brekhovskikh equation are complex numbers with phase angles. Therefore, attributes of the reflection coefficient and its phase angle changing with offset are used to analyze the hydrate reservoir's porosity, saturation, and thickness. Finally, the random forest algorithm is used to predict the reservoir porosity, hydrate saturation, and thickness of the hydrate reservoir. In the synthetic data, the inversion results based on the four attributes of the Brekhovskikh equation are better than the conventional inversion results based on the two attributes of Zoeppritz, and the thickness can be accurately predicted. The proposed method also achieves good results in the application of Blake Ridge data. According to the method proposed in this paper, the hydrate reservoir in the area has a high porosity (more than 50%), and a medium saturation (between 10% and 20%). The thickness is mainly between 200m and 300m. It is consistent with the previous results obtained by velocity analysis.(c) 2023 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/ 4.0/). |
| WOS关键词 | SEDIMENTS |
| 资助项目 | National Natural Science Foundation of China[12171455] ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS)[ZDBS-LY-DQC0 03] ; [IGGCAS-2019031] |
| WOS研究方向 | Energy & Fuels ; Engineering |
| 语种 | 英语 |
| 出版者 | KEAI PUBLISHING LTD |
| WOS记录号 | WOS:001075140200001 |
| 资助机构 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS) ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS) ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS) ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS) ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS) ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS) ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS) ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS) ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS) ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS) ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS) ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS) ; Original Innovation Research Program of the Chinese Academy of Sciences (CAS) |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/110783]  |
| 专题 | 地质与地球物理研究所_中国科学院油气资源研究重点实验室 |
| 通讯作者 | Wang, Yan-Fei |
| 作者单位 | 1.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Yao,Wang, Yan-Fei. Quantitative evaluation of gas hydrate reservoir by AVO attributes analysis based on the Brekhovskikh equation[J]. PETROLEUM SCIENCE,2023,20(4):2045-2059. |
| APA | Wang, Yao,&Wang, Yan-Fei.(2023).Quantitative evaluation of gas hydrate reservoir by AVO attributes analysis based on the Brekhovskikh equation.PETROLEUM SCIENCE,20(4),2045-2059. |
| MLA | Wang, Yao,et al."Quantitative evaluation of gas hydrate reservoir by AVO attributes analysis based on the Brekhovskikh equation".PETROLEUM SCIENCE 20.4(2023):2045-2059. |
入库方式： OAI收割
来源：地质与地球物理研究所
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