An intelligent-while-drilling steering method of global closed-loop servo control
文献类型：期刊论文
| 作者 | Wu SiYuan1,2,3; Li ShouDing1,2,3; Chen Dong5; Li Xiao1,2,3; Du AiMin2,3,4; Zhang Ying2,3,4 |
| 刊名 | CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
 |
| 出版日期 | 2021-11-01 |
| 卷号 | 64期号:11页码:4215-4226 |
| 关键词 | Logging While Drilling (LWD) Artificial intelligence Deep learning Machine learning Geosteering Intelligent drilling Large closed-loop servo control |
| ISSN号 | 0001-5733 |
| DOI | 10.6038/cjg2021O0449 |
| 英文摘要 | The reserves of deep oil and gas resources are huge, making them significant for global oil and gas development. As the drilling depth goes towards to deep (>4500 m) and ultra-deep (>6000 m) formations, the geological conditions becomes more complex, the transmission rate of drilling mud signal is limited. The delay in the downhole logging while drilling data transmission would increase the risks of drilling accidents and drilling out of the reservoir. The current drilling site decision-making method is not applicable, and the downhole autonomous intelligent drilling will be an important direction of deep and ultra-deep drilling operations. Referring to the theoretical and technical framework of autonomous car, a global closed-loop servo control intelligent drilling method is proposed. This method integrates rotary steering, geosteering, seismic while drilling, far-field electromagnetic measurement, measurement while drilling, signal transmission, automatic drill rig and other technologies. After using the "learning while drilling" approach, the artificial intelligence evaluation and decision method, it is able to intelligent identification of sweet spot in front of drill bit, intelligent determination of drilling direction and rate of penetration, and allow the drill bit automatically navigate and drill downhole with the global closed-loop servo control. The global closed-loop servo control intelligent drilling system framework includes three parts: drilling perception, intelligent decision-making and global closed-loop control. The drilling perception part obtains the bit position and the characteristic parameters of formations around and in front of the well through the logging while drilling data. Based on the information obtained by the drilling perception part, the intelligent decision-making part uses the AI (Artificial Intelligence) decision-making model to update the well path and optimize the drilling strategy. The global closed-loop control part adjusts the drilling direction and rate of penetration according to the intelligent decision instruction. In the drilling perception part, support vector machine learning algorithm is used to intelligently identify lithology using logging while drilling data. Random forest algorithm and LSTM (Long Short Term Memory) recurrent neural network are used to evaluate porosity, permeability, saturation and shale content. The intelligent decision-making part uses the random forest algorithm to predict and optimize the rate of penetration. They all have achieved high accuracy. |
| WOS关键词 | MODEL |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:000751857900029 |
| 出版者 | SCIENCE PRESS |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/104926]  |
| 专题 | 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 地质与地球物理研究所_深部资源勘探装备研发 |
| 通讯作者 | Li ShouDing |
| 作者单位 | 1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China 2.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China 4.Chinese Acad Sci, Inst Geol & Geophys, CAS Engn Lab Deep Resources Equipment & Technol, Beijing 100029, Peoples R China 5.China Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu SiYuan,Li ShouDing,Chen Dong,et al. An intelligent-while-drilling steering method of global closed-loop servo control[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2021,64(11):4215-4226. |
| APA | Wu SiYuan,Li ShouDing,Chen Dong,Li Xiao,Du AiMin,&Zhang Ying.(2021).An intelligent-while-drilling steering method of global closed-loop servo control.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,64(11),4215-4226. |
| MLA | Wu SiYuan,et al."An intelligent-while-drilling steering method of global closed-loop servo control".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 64.11(2021):4215-4226. |
入库方式： OAI收割
来源：地质与地球物理研究所
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