摘要
Based on the existing research results and shortcomings of distributive fluvial system(DFS),the key scientific issues,main research contents,research methods and workflow in DFS research were discussed. The results show that:(1)There are three critical scientific issues in DFS sedimentology research including modelling the river channel network and their evolution,constructing sedimentary model and analyzing the control factors influencing DFS formation and distribution.(2)The main directions in DFS research are to build sedimentological database,to study on modern DFS deposition mechanism and DFS classification,and to establish DFS sedimentary model,DFS reservoir modeling and reservoir prediction.(3)The key technologies necessary to strengthen the research include DFS morphological and sedimentological data collection based on remote sensing images,flume experiment and digital simulation of DFS formation mechanism,DFS river channel network reconstruction,DFS apex estimation and automatic branching point prediction and DFS reservoir modeling knowledge base construction.(4)The work processes of DFS research have three main steps in which the first step is to establish the DFS geomorphological and sedimentological data base and the related software platform,the second step is to carry out DFS classification by integrating the modern sedimentary investigation,outcrop anatomy and simulation experiment research,and the final is to summarize the facies identification marks and to build the sedimentary models of various DFS. Based on the above,the reservoir prediction models and the software platform can be established for hierarchically reservoir modeling,so as to predict the favorable reservoir distribution in depositional system.
投稿的翻译标题 | Research framework for distributive fluvial system |
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源语言 | 繁体中文 |
页(从-至) | 1-13 |
页数 | 13 |
期刊 | Lithologic Reservoirs |
卷 | 36 |
期 | 1 |
DOI | |
出版状态 | 已出版 - 1月 2024 |
已对外发布 | 是 |
关键词
- data acquisition
- DFS sedimentology database
- distributive fluvial system
- flume experiment
- reservoir modeling
- river network reconstruction