Static Geological Modelling with Knowledge Driven Methodology
文献类型：期刊论文
| 作者 | Li, Jun; Zhang, Xiaoying; Lu, Bin; Ahmed, Raheel; Zhang, Qian |
| 刊名 | ENERGIES
 |
| 出版日期 | 2019 |
| 卷号 | 12期号:19页码:- |
| 关键词 | geological modelling knowledge-driven methodology depositional environments structure oil and gas exploration and production |
| DOI | 10.3390/en12193802 |
| 英文摘要 | Geological modelling is an important topic of oil and gas exploration and production. A new knowledge driven methodology of geological modelling is proposed to address the problem of "hard data" limitation and modelling efficiency of the conventional data driven methodology. Accordingly, a new geological modelling software (DMatlas) (V1.0, Dimue, Wuhan, China) has been developed adopting a grid-free, object-based methodology. Conceptual facies models can be created for various depositional environments (such as fluvial, delta and carbonates). The models can be built largely based on geologists' understandings with "soft data" such as outcrops analysis and geological maps from public literatures. Basic structures (fault, folds, and discrete fracture network) can be easily constructed according to their main features. In this methodology, models can be shared and re-used by other modelers or projects. Large number of model templates help to improve the modelling work efficiency. To demonstrate the tool, two case studies of geological modelling with knowledge driven methodology are introduced: (1) Suizhong 36-1 field which is a delta depositional environment in Bohai basin, China; (2) a site of the north Oman fracture system. The case studies show the efficiency and reliability within the new methodology. |
| WOS研究方向 | Energy & Fuels |
| 语种 | 英语 |
| WOS记录号 | WOS:000498072600213 |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/14863]  |
| 专题 | 岩土力学所知识全产出_期刊论文 国家重点实验室知识产出_期刊论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Hubei, Peoples R China; 2.Dimue Technol Ltd Co, Wuhan 430000, Hubei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Jun,Zhang, Xiaoying,Lu, Bin,et al. Static Geological Modelling with Knowledge Driven Methodology[J]. ENERGIES,2019,12(19):-. |
| APA | Li, Jun,Zhang, Xiaoying,Lu, Bin,Ahmed, Raheel,&Zhang, Qian.(2019).Static Geological Modelling with Knowledge Driven Methodology.ENERGIES,12(19),-. |
| MLA | Li, Jun,et al."Static Geological Modelling with Knowledge Driven Methodology".ENERGIES 12.19(2019):-. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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