Spectral inversion algorithm based on compressive sensing and its applications while drilling
文献类型：期刊论文
| 作者 | Shu MengCheng4; Zhang Feng4; Zou JiaRu5; Huo ShouDong5; Luo Ming1; Zhang WanDong2; Li WenTuo1; Mu ShengQiang5; Liang Yao3 |
| 刊名 | CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
 |
| 出版日期 | 2023 |
| 卷号 | 66期号:1页码:34-45 |
| ISSN号 | 0001-5733 |
| 关键词 | Compressive sensing L0 norm Spectral inversion algorithm While drilling |
| DOI | 10.6038/cjg2022Q0424 |
| 英文摘要 | In the process of deep water drilling, the key strata, especially weak layers (formation with low tensile strength) under ultra-high temperature and pressure environment are big problems. What's more, the lack of accurate and rapid identified technology against offshore ultra-high temperature and pressure weak layers has led to frequent drilling accidents, which is an important problem to be solved in offshore ultra-high temperature and pressure oil and gas exploration and development. The application of high-precision seismic data, as a real-time monitoring basic data while drilling, can effectively provide detailed geological structure information ahead of the bit. Based on the spectral inversion technology to enhance resolution, this paper proposes a spectral inversion algorithm via compressive sensing L0 norm algorithm, and form a complete technical process workflow to enhance resolution. This method can realize effective extension frequency of seismic data with relative amplitude preservation and fidelity, in order to identify weak layers and realize comprehensive prediction of high precision key layers by seismic data processing and analysis while drilling. Application of actual data in the deep layer of the West South China Sea oilfield, this method effectively identifies key information such as weak layers, key formations, and reservoir depth ahead of the bit. The results were consistent with the logging data after drilling, which verified the effectiveness of the method and provided a basis for the risk assessment of ultra-high temperature and pressure drilling in the western South China Sea oilfield. |
| WOS关键词 | SIGNAL RECOVERY |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| 出版者 | SCIENCE PRESS |
| WOS记录号 | WOS:000910572800003 |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/106873]  |
| 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 | Huo ShouDong |
| 作者单位 | 1.CNOOC Ltd, Hainan Branch, Haikou 570312, Hainan, Peoples R China 2.CNOOC Ltd, Zhanjiang Branch, Zhanjiang 524057, Guangdong, Peoples R China 3.Chinese Acad Geol Sci, Inst Geol, Key Lab Deep Earth Dynam, Minist Nat Resources, Beijing 100037, Peoples R China 4.China Univ Petr, Coll Geophys, Beijing 102249, Peoples R China 5.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shu MengCheng,Zhang Feng,Zou JiaRu,et al. Spectral inversion algorithm based on compressive sensing and its applications while drilling[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2023,66(1):34-45. |
| APA | Shu MengCheng.,Zhang Feng.,Zou JiaRu.,Huo ShouDong.,Luo Ming.,...&Liang Yao.(2023).Spectral inversion algorithm based on compressive sensing and its applications while drilling.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,66(1),34-45. |
| MLA | Shu MengCheng,et al."Spectral inversion algorithm based on compressive sensing and its applications while drilling".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 66.1(2023):34-45. |
入库方式： OAI收割
来源：地质与地球物理研究所
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