Institutional Repository of Key Laboratory of Petroleum Resource Research, Chinese Academy of Sciences
| Application of Geologically Constrained Machine Learning Method in Characterizing Paleokarst Reservoirs of Tarim Basin, China | |
| Xin, Wei1; Tian, Fei2,3,4; Shan, Xiaocai2,3,4; Zhou, Yongjian2,3,4; Rong, Huazhong1; Yang, Changchun2,3,4 | |
| 2020-06-01 | |
| Source Publication | WATER
 |
| Volume | 12Issue:6Pages:18 |
| Abstract | As deep carbonate fracture-cavity paleokarst reservoirs are deeply buried and highly heterogeneous, and the responded seismic signals have weak amplitudes and low signal-to-noise ratios. Machine learning in seismic exploration provides a new perspective to solve the above problems, which is rapidly developing with compelling results. Applying machine learning algorithms directly on deep seismic signals or seismic attributes of deep carbonate fracture-cavity reservoirs without any prior knowledge constraints will result in wasted computation and reduce the accuracy. We propose a method of combining geological constraints and machine learning to describe deep carbonate fracture-cavity paleokarst reservoirs. By empirical mode decomposition, the time-frequency features of the seismic data are obtained and then a sensitive frequency is selected using geological prior constraints, which is input to fuzzy C-means cluster for characterizing the reservoir distribution. Application on Tahe oilfield data shows the potential of highlighting subtle geologic structures that might otherwise escape unnoticed by applying machine learning directly. |
| Keyword | karst system machine learning Hilbert-Huang transform waveform cluster seismic interpretation paleo-channels |
| DOI | 10.3390/w12061765 |
| Funding Organization | Chinese National Natural Science Foundation ; Chinese National Natural Science Foundation ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Chinese National Major Fundamental Research Developing Project ; Chinese National Major Fundamental Research Developing Project ; Fundamental Research Funds for the Central Universities of China ; Fundamental Research Funds for the Central Universities of China ; China Postdoctoral Foundation ; China Postdoctoral Foundation ; Horizontal Cooperation Project ; Horizontal Cooperation Project ; Chinese National Natural Science Foundation ; Chinese National Natural Science Foundation ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Chinese National Major Fundamental Research Developing Project ; Chinese National Major Fundamental Research Developing Project ; Fundamental Research Funds for the Central Universities of China ; Fundamental Research Funds for the Central Universities of China ; China Postdoctoral Foundation ; China Postdoctoral Foundation ; Horizontal Cooperation Project ; Horizontal Cooperation Project ; Chinese National Natural Science Foundation ; Chinese National Natural Science Foundation ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Chinese National Major Fundamental Research Developing Project ; Chinese National Major Fundamental Research Developing Project ; Fundamental Research Funds for the Central Universities of China ; Fundamental Research Funds for the Central Universities of China ; China Postdoctoral Foundation ; China Postdoctoral Foundation ; Horizontal Cooperation Project ; Horizontal Cooperation Project ; Chinese National Natural Science Foundation ; Chinese National Natural Science Foundation ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Chinese National Major Fundamental Research Developing Project ; Chinese National Major Fundamental Research Developing Project ; Fundamental Research Funds for the Central Universities of China ; Fundamental Research Funds for the Central Universities of China ; China Postdoctoral Foundation ; China Postdoctoral Foundation ; Horizontal Cooperation Project ; Horizontal Cooperation Project |
| WOS Keyword | EMPIRICAL MODE DECOMPOSITION ; TAHE OIL-FIELD ; SYSTEM ; ATTRIBUTES ; NETWORK ; UPLIFT ; AREA |
| Language | 英语 |
| Funding Project | Chinese National Natural Science Foundation[41504142] ; Chinese National Natural Science Foundation[41502149] ; Chinese National Natural Science Foundation[U1663204] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA14050101] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA14040201] ; Chinese National Major Fundamental Research Developing Project[2017ZX05008-004] ; Fundamental Research Funds for the Central Universities of China[ZY1927] ; China Postdoctoral Foundation[2015M570148] ; Horizontal Cooperation Project[H2020009] |
| Funding Organization | Chinese National Natural Science Foundation ; Chinese National Natural Science Foundation ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Chinese National Major Fundamental Research Developing Project ; Chinese National Major Fundamental Research Developing Project ; Fundamental Research Funds for the Central Universities of China ; Fundamental Research Funds for the Central Universities of China ; China Postdoctoral Foundation ; China Postdoctoral Foundation ; Horizontal Cooperation Project ; Horizontal Cooperation Project ; Chinese National Natural Science Foundation ; Chinese National Natural Science Foundation ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Chinese National Major Fundamental Research Developing Project ; Chinese National Major Fundamental Research Developing Project ; Fundamental Research Funds for the Central Universities of China ; Fundamental Research Funds for the Central Universities of China ; China Postdoctoral Foundation ; China Postdoctoral Foundation ; Horizontal Cooperation Project ; Horizontal Cooperation Project ; Chinese National Natural Science Foundation ; Chinese National Natural Science Foundation ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Chinese National Major Fundamental Research Developing Project ; Chinese National Major Fundamental Research Developing Project ; Fundamental Research Funds for the Central Universities of China ; Fundamental Research Funds for the Central Universities of China ; China Postdoctoral Foundation ; China Postdoctoral Foundation ; Horizontal Cooperation Project ; Horizontal Cooperation Project ; Chinese National Natural Science Foundation ; Chinese National Natural Science Foundation ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Chinese National Major Fundamental Research Developing Project ; Chinese National Major Fundamental Research Developing Project ; Fundamental Research Funds for the Central Universities of China ; Fundamental Research Funds for the Central Universities of China ; China Postdoctoral Foundation ; China Postdoctoral Foundation ; Horizontal Cooperation Project ; Horizontal Cooperation Project |
| WOS Research Area | Water Resources |
| WOS Subject | Water Resources |
| WOS ID | WOS:000552492200001 |
| Publisher | MDPI |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.iggcas.ac.cn/handle/132A11/97584 |
| Collection | 油气资源研究院重点实验室 |
| Corresponding Author | Xin, Wei |
| Affiliation | 1.Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China 3.Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| Recommended Citation GB/T 7714 | Xin, Wei,Tian, Fei,Shan, Xiaocai,et al. Application of Geologically Constrained Machine Learning Method in Characterizing Paleokarst Reservoirs of Tarim Basin, China[J]. WATER,2020,12(6):18. |
| APA | Xin, Wei,Tian, Fei,Shan, Xiaocai,Zhou, Yongjian,Rong, Huazhong,&Yang, Changchun.(2020).Application of Geologically Constrained Machine Learning Method in Characterizing Paleokarst Reservoirs of Tarim Basin, China.WATER,12(6),18. |
| MLA | Xin, Wei,et al."Application of Geologically Constrained Machine Learning Method in Characterizing Paleokarst Reservoirs of Tarim Basin, China".WATER 12.6(2020):18. |
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