研究论文

高弯度深水浊积水道建模方法分析

  • 卜范青;张宇焜
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  • 中海油研究总院开发研究院, 北京 100027

收稿日期: 2013-04-09

  修回日期: 2013-05-29

  网络出版日期: 2013-10-18

Modeling of High-sinuosity Deep Water Turbidite Channel

  • BU Fanqing;ZHANG Yukun
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  • Exploitation Research Department, CNOOC Research Institute,Beijing 100027, China

Received date: 2013-04-09

  Revised date: 2013-05-29

  Online published: 2013-10-18

摘要

在实际的地质沉积过程中,大多数沉积体系由"多物源"或"变物源"沉积物堆积而成,在进行储层地质建模过程中只给定单一物源方向已不能满足模拟精度的要求。本文以某海外大型深水海底扇油田A为例,根据研究区内高弯度深水浊积水道广泛发育且具有水流方向随着流线时刻变化的特征,在建模过程中结合地质认识,探索出针对该沉积环境的分区法和水道趋势线法两种储层随机模拟方法。分区法是将高弯度水道依据地质认识设定不同区带,各区带独立进行随机模拟;水道趋势线法则依据地质认识,在全区设定符合地质概念的定量趋势线,并假定全区为一个整体的模拟单元进行表征。分区法适用于模拟不同物源,且无交叉叠合的两套沉积体系;而水道趋势线法则更适用于同一类沉积体系下的高弯度深水浊积水道建模。两种模拟方法都实现了在同一套网格中模拟具有"多物源"和"变物源"方向的储层分布,真实再现了高弯度深水浊积复合水道储层的空间展布特征。

本文引用格式

卜范青;张宇焜 . 高弯度深水浊积水道建模方法分析[J]. 科技导报, 2013 , 31(28-29) : 70 -73 . DOI: 10.3981/j.issn.1000-7857.2013.h2.012

Abstract

In the process of sediment, the sedimentary system is generally accumulated by multi-sources or mutative sources. In the establishment of a geologic model, the use of a single source can not meet the accuracy requirement. Taking some oversea large-scale deep-water subsea fan, A oilfield, as an example, the two reservoir stochastic simulation methods, the segment method and the trend-line method, are proposed based on the facts that a high-sinuosity deep water turbidite channel is developed widely and the flowline changes from time to time. The segment method is to divide the high-sinuosity deep water turbidite channel according to the geology knowledge and simulate the process separately and independently; the trend-line method is to set a quantitative geologic trend line and simulate the process as an entirety. The segment method applies to different sources and two non-cross sedimentary systems, while the trend-line method applies to the high-sinuosity deep water turbidite channel modeling under the same sedimentary system. Both methods are used to simulate the reservoir distribution of multi-sources or mutative sources in the same grid system, and the results show the spatial distribution characteristics of the high-sinuosity deep water turbidite channel.
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