Microseismic source location imaging using in-well distributed fiber-optic monitoring data during horizontal well fracturing in shale gas reservoir
文献类型:期刊论文
作者 | Liang Xing1; Wang YiBo3; Wu ShaoJiang3; Liang EnMao2; Shi ShuYou1; Zhang Zhao1 |
刊名 | CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
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出版日期 | 2022-12-01 |
卷号 | 65期号:12页码:4846-4857 |
关键词 | Shale gas reservoir Hydraulic fracturing Fiber-optic Distributed Acoustic Sensing In-well monitoring Micro-vibration Microseismic source location imaging |
ISSN号 | 0001-5733 |
DOI | 10.6038/cjg2022Q0002 |
英文摘要 | Hydraulic fracturing is an indispensable technology for the development of unconventional oil and gas resource reservoirs. To improve the efficiency of fracturing, microseismic monitoring is widely used to monitor and evaluate the reservoir stimulation. Recently, fiber-optic distributed acoustic sensing (DAS) technology has been applied to microseismic monitoring in hydraulic fracturing and shown great potential. By installing the fiber permanently outside the casing of the horizontal well and playing fracturing in the monitoring well, we perform a real-time DAS monitoring of in-well hydraulic fracturing of horizontal well. In the in-well monitoring, the monitoring well is close to the fracturing zone, and its acquisition azimuth perpendicular to the monitoring well is relatively narrow, resulting in poor resolution of the conventional source location stacking algorithm; furthermore, the strong polarity reversal of the waveforms, which will affect the accuracy of stacking image. In this study, we propose a hybrid imaging condition based stacking algorithm using waveform envelopes. The synthetic examples show that the proposed method has the following two advantages : (1) using the waveform envelope can reduce the polarity reversal and improve the accuracy of stacking image; (2) using hybrid imaging condition can suppress stacking artifact and improve the resolution of the source location image. We further analyze real data from Zhaotong shale gas project, and the results show that the proposed method can improve the spatial resolution and accuracy of the source location image. |
WOS关键词 | TIME ; MIGRATION ; SURFACE |
WOS研究方向 | Geochemistry & Geophysics |
语种 | 英语 |
WOS记录号 | WOS:000893187400024 |
出版者 | SCIENCE PRESS |
源URL | [http://ir.iggcas.ac.cn/handle/132A11/106968] ![]() |
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 YiBo |
作者单位 | 1.PetroChina Zhejiang Oilfield Co, Hangzhou 311100, Peoples R China 2.China Shipbldg Ind Co Ltd, Res Inst 715, Hangzhou 310023, Peoples R China 3.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China |
推荐引用方式 GB/T 7714 | Liang Xing,Wang YiBo,Wu ShaoJiang,et al. Microseismic source location imaging using in-well distributed fiber-optic monitoring data during horizontal well fracturing in shale gas reservoir[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2022,65(12):4846-4857. |
APA | Liang Xing,Wang YiBo,Wu ShaoJiang,Liang EnMao,Shi ShuYou,&Zhang Zhao.(2022).Microseismic source location imaging using in-well distributed fiber-optic monitoring data during horizontal well fracturing in shale gas reservoir.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,65(12),4846-4857. |
MLA | Liang Xing,et al."Microseismic source location imaging using in-well distributed fiber-optic monitoring data during horizontal well fracturing in shale gas reservoir".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 65.12(2022):4846-4857. |
入库方式: OAI收割
来源:地质与地球物理研究所
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