A formation intelligent evaluation solution for geosteering
文献类型：期刊论文
| 作者 | Tian Fei2,3,4; Di QingYun2,3,4; Zhang WenHao2,3,4; Ge XinMin1; Zhang WenXiu2,3,4; Zhang JiangYun2,3,4; Yang ChangChun2,3,4 |
| 刊名 | CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
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| 出版日期 | 2023-09-01 |
| 卷号 | 66期号:9页码:3975-3989 |
| ISSN号 | 0001-5733 |
| 关键词 | Geosteering system Structure-Lithology-Composition Data fusion Formation intelligent evaluation Solution |
| DOI | 10.6038/cjg2023Q0689 |
| 英文摘要 | Geosteering system is the optimal placement of a three-dimensional well trajectory based on the results of real-time downhole geological, geophysical and drilling parameters, aiming to obtain the largest oil drainage area and the best recovery factor. It has become the cutting-edge technology to improve the oil and gas production of a single well and the benefits of oilfield development, confronting geological problems such as low porosity, low permeability, and strong heterogeneous reservoir, combined with drilling engineering problems such as high temperature, high pressure, and strong vibration. Based on sorting out the hardware, software, and team of the geosteering system, this paper divided the geosteering system into three stages: trajectory geosteering based on formation structure, reservoir geosteering based on reservoir lithology, and productivity geosteering oriented to formation composition. Taking the outcrop with higher resolution and more intuitive as an example, the logical relationship in three levels of "structure-lithology-composition" for the geosteering system was expounded. In this paper, a formation intelligent evaluation solution for geosteering with the scheme of "data acquisition, information fusion, situational awareness, and formation intelligent evaluation" was proposed: According to the discipline categories, combined with the data sources, acquisition time and spatial resolution, the data types and characteristics required for formation intelligent evaluation were sorted; The information fusion classification of multi-source heterogeneous data of geosteering was proposed into "Data level -Feature level-Decision level", and the relevant algorithms were sorted out; According to the data model and prior experience, the situation assessment for the current drilling state and the geological environment was carried out, and the situation forecast for the next drilling state and the geological environment was carried out by machine learning algorithms; According to the "structure-lithology-composition" classification, the concepts of "Preliminary Geosteering" and "Fine Geosteering" was put forward, and the technical points of "Fine Geosteering" were also determined. An application of the geosteering intelligent evaluation solution to the actual oilfield geosteering operation was carried out, verifying its reliability and practicability, which can provide a reference for future downhole intelligent closed-loop research. |
| WOS关键词 | TAHE OIL-FIELD |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| 出版者 | SCIENCE PRESS |
| WOS记录号 | WOS:001064464700029 |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/110778]  |
| 专题 | 地质与地球物理研究所_深部资源勘探装备研发 |
| 通讯作者 | Tian Fei |
| 作者单位 | 1.China Univ Petr East China, Sch Geosci, Qingdao 266580, Shandong, 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 |
| 推荐引用方式 GB/T 7714 | Tian Fei,Di QingYun,Zhang WenHao,et al. A formation intelligent evaluation solution for geosteering[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2023,66(9):3975-3989. |
| APA | Tian Fei.,Di QingYun.,Zhang WenHao.,Ge XinMin.,Zhang WenXiu.,...&Yang ChangChun.(2023).A formation intelligent evaluation solution for geosteering.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,66(9),3975-3989. |
| MLA | Tian Fei,et al."A formation intelligent evaluation solution for geosteering".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 66.9(2023):3975-3989. |
入库方式： OAI收割
来源：地质与地球物理研究所
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