论文详情
南海西部油气田复杂储层建模难点与技术应用
海洋石油
2016年 36卷 第2期
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Title
Difficulties and Technical Application of Complex Reservoir Modeling in West of South China Sea Oil and Gas Field
Authors
FANG Xiaoyu
YAN Heng
ZHANG Hui
SUN Xiaohui
PENG Wenfeng
单位
中海石油(中国)有限公司湛江分公司, 广东湛江 524057
Organization
Zhanjiang Branch of CNOOC Ltd., Zhanjiang 524057, China
摘要
南海西部油田油气藏类型多样,从构造建模研究角度而言,研究区北部湾盆地存在许多复杂断块油气藏和多重削截断层;从相建模研究角度来讲,涠西南凹陷河流相三角洲相储层普遍发育,岩性变化快,储层非均质性强,文昌油田群海相储层普遍发育钙质隔夹层。通过多年的地质建模研究,总结了一系列针对复杂储层的建模方法。针对复杂构造的油气藏类型,采用网格质量控制、断层阶梯化等手段,较好的解决了复杂构造建模网格质量差的问题;针对相建模方面,开展了连通概率和不确定性分析技术的研究和应用,显著改善了相模拟的精度。通过一系列行之有效的方法,提高了储层地质模型的质量和精度,满足开发生产预测的需要。
Abstract
There are various types of oil and gas reservoirs in the western part of South China Sea. From the point of view of structural modeling, there are numerous complex fault block oil and gas reservoirs and multi-truncated faults developed in Beibuwan Basin. From the point of view of facies modeling, channel and delta facies reservoirs, with the characteristics of rapidly lateral changing in lithology and anisotropy, are developed widely in Weixinan Depression. In addition, calcareous interlayers are widely spread in the marine facies of Wenchang Oilfields. Based on the study of reservoir geological modeling in recent years, a series of geological modeling methods focusing on the complex reservoirs are summarized. The problem of poor grid quality occurred in the complex structure modeling has been improved by adopting different means such as grid quality control, fault image processing based on stair thinning. The study and application of connectivity probability and uncertainty analysis contributed the significant improvement in the accuracy of facies modeling. A series of effective methods mentioned in this paper have improved the quality and the accuracy of reservoir geological model, and met the requirements of development and production forecast.
关键词:
构造模型;
削截断层;
地层超覆;
相建模;
连通概率;
不确定性分析;
Keywords:
Structure model;
truncate fault;
stratigraphic overlap;
facies modeling;
connectivity probability;
uncertainty analysis;
DOI
https://doi.org/10.3969/j.issn.1008-2336.2016.02.050