IGGCAS OpenIR  > 页岩气与地质工程院重点实验室
An intelligent-while-drilling steering method of global closed-loop servo control
Wu SiYuan1,2,3; Li ShouDing1,2,3; Chen Dong5; Li Xiao1,2,3; Du AiMin2,3,4; Zhang Ying2,3,4
2021-11-01
Source PublicationCHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
ISSN0001-5733
Volume64Issue:11Pages:4215-4226
AbstractThe 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.
KeywordLogging While Drilling (LWD) Artificial intelligence Deep learning Machine learning Geosteering Intelligent drilling Large closed-loop servo control
DOI10.6038/cjg2021O0449
WOS KeywordMODEL
Language英语
WOS Research AreaGeochemistry & Geophysics
WOS SubjectGeochemistry & Geophysics
WOS IDWOS:000751857900029
PublisherSCIENCE PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/104926
Collection页岩气与地质工程院重点实验室
深部资源探测先导技术与装备研发中心
Corresponding AuthorLi ShouDing
Affiliation1.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
First Author AffilicationKey Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences
Corresponding Author AffilicationKey Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences
Recommended Citation
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.
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