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  2. 地质与地球物理研究所
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  4. 深部资源勘探装备研发
Inversion based on deep learning of logging-while-drilling directional resistivity measurements

文献类型：期刊论文

作者Fan, Jianbao1,2,3,4; Zhang, Wenxiu1,2,3,4; Chen, Wenxuan1,2,3,4; Li, Xinghan1,2,3,4
刊名JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
出版日期2022
卷号208页码:6
ISSN号0920-4105
关键词Deep learning Inversion problem Logging-while-drilling Directional resistivity tool
DOI10.1016/j.petrol.2021.109677
英文摘要Because of the response complexity and real-time interpretation required by geosteering, an efficient and reliable inversion method for logging-while-drilling (LWD) directional resistivity measurement is important. A three-layer parametric inversion method based on deep learning has been developed. The inversion process includes two steps. The first step is the inversion of formation parameters, such as the resistivity and distance to boundary, and the second step is the uncertainty estimation of the inversed parameters, to remove the low-quality inversed boundaries. The input of the first part of the inversion is the directional resistivity logging data. The input of the second step is the output of the first step. The second step is based on the relationship between the output error and the value of each output parameter of the first step. A synthetic example shows the original results of the first step of the inversion have some low-quality false boundaries, such as some of the ones in thick layers. By estimating the uncertainty and distinguishing the low-quality boundary in the second step, these false boundaries can be effectively removed.
WOS关键词COMPUTATION
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA14020100] ; CAS-CNPC Strategic Cooperation Project[2015B-4016] ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences[KLSG201701] ; Chinese National key research and development program[2019YFA0708301]
WOS研究方向Energy & Fuels ; Engineering
语种英语
出版者ELSEVIER
WOS记录号WOS:000710810400054
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; CAS-CNPC Strategic Cooperation Project ; CAS-CNPC Strategic Cooperation Project ; CAS-CNPC Strategic Cooperation Project ; CAS-CNPC Strategic Cooperation Project ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Chinese National key research and development program ; Chinese National key research and development program ; Chinese National key research and development program ; Chinese National key research and development program ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; CAS-CNPC Strategic Cooperation Project ; CAS-CNPC Strategic Cooperation Project ; CAS-CNPC Strategic Cooperation Project ; CAS-CNPC Strategic Cooperation Project ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Chinese National key research and development program ; Chinese National key research and development program ; Chinese National key research and development program ; Chinese National key research and development program ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; CAS-CNPC Strategic Cooperation Project ; CAS-CNPC Strategic Cooperation Project ; CAS-CNPC Strategic Cooperation Project ; CAS-CNPC Strategic Cooperation Project ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Chinese National key research and development program ; Chinese National key research and development program ; Chinese National key research and development program ; Chinese National key research and development program ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; CAS-CNPC Strategic Cooperation Project ; CAS-CNPC Strategic Cooperation Project ; CAS-CNPC Strategic Cooperation Project ; CAS-CNPC Strategic Cooperation Project ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Science Foundation of Key Laboratory of shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences ; Chinese National key research and development program ; Chinese National key research and development program ; Chinese National key research and development program ; Chinese National key research and development program
源URL[http://ir.iggcas.ac.cn/handle/132A11/103828]  
专题地质与地球物理研究所_深部资源勘探装备研发
地质与地球物理研究所_中国科学院页岩气与地质工程重点实验室
通讯作者Zhang, Wenxiu
作者单位1.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China
3.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China
4.Chinese Acad Sci, Inst Geol & Geophys, CAS Engn Lab Deep Resources Equipment & Technol, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 Fan, Jianbao,Zhang, Wenxiu,Chen, Wenxuan,et al. Inversion based on deep learning of logging-while-drilling directional resistivity measurements[J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,2022,208:6.
APA Fan, Jianbao,Zhang, Wenxiu,Chen, Wenxuan,&Li, Xinghan.(2022).Inversion based on deep learning of logging-while-drilling directional resistivity measurements.JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,208,6.
MLA Fan, Jianbao,et al."Inversion based on deep learning of logging-while-drilling directional resistivity measurements".JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING 208(2022):6.

入库方式： OAI收割

来源：地质与地球物理研究所

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