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湖底扇水道相控建模技术及应用
引用本文:刘尧均, 官大勇, 王志萍, 付鑫, 马正武. 湖底扇水道相控建模技术及应用[J]. 海洋地质前沿, 2020, 36(11): 59-68. doi: 10.16028/j.1009-2722.2020.147
作者姓名:刘尧均  官大勇  王志萍  付鑫  马正武
作者单位:中海石油(中国)有限公司天津分公司渤海石油研究院,天津 300459
基金项目:“十三五”国家科技重大专项“渤海海域勘探新领域及关键技术研究”
摘    要:随着渤海勘探力度加强,大型湖底扇岩性圈闭逐渐成为新的勘探目标,但是湖底扇不同期次水道垂向相互叠合,部分水道下切,砂体展布以及砂体间的连通关系复杂。针对湖底扇储层具有非均质性强,储层刻画难度大的特点,以渤海垦利10-A构造为例,充分利用多种地震信息,高度综合地质、钻井、测井、地震等资料,将传统的“相控建模”思想引入湖底扇储层建模当中,提出了湖底扇储层相控建模新技术。该技术在对湖底扇沉积构型模式和富砂性深入研究的基础上,利用湖底扇储集相和三维甜点体属性进行双重控制和约束,在地质认识指导下,应用地质统计学理论和随机建模方法建立符合地质规律的三维岩相模型,在多次建模实现后求取砂岩概率体,完成对湖底扇水道的精细刻画,砂体连通性分析和储层预测。研究结果表明,该方法能有效地降低储层属性模拟的不确定性和多解性,提高储层预测的精度,为后期勘探布井奠定了基础。

关 键 词:渤海海域   湖底扇   随机建模   岩相模型   储层预测
收稿时间:2020-09-20

MODELING TECHNOLOGY FOR FACIES CONTROLLED SUBLACUSTRINE FAN CHANNEL SYSTEM AND ITS APPLICATION
LIU Yaojun, GUAN Dayong, WANG Zhiping, FU Xin, MA Zhengwu. MODELING TECHNOLOGY FOR FACIES CONTROLLED SUBLACUSTRINE FAN CHANNEL SYSTEM AND ITS APPLICATION[J]. Marine Geology Frontiers, 2020, 36(11): 59-68. doi: 10.16028/j.1009-2722.2020.147
Authors:LIU Yaojun  GUAN Dayong  WANG Zhiping  FU Xin  MA Zhengwu
Affiliation:Bohai Oilfield Research Institute, Tianjin Branch of CNOOC China Limited, Tianjin 300452, China
Abstract:As a new progress in oil and gas exploration in the Bohai Oilfield, the large complex sublacustrine fan reservoir has become a new target for exploration. However, owing to the vertical superposition of sub-channels and the cutting and erosion by later channels, the distribution of sand bodies and the relationship between sand bodies are rather complicated. Sublacustrine fan reservoirs are characterized by strong heterogeneity and it is difficult for reservoir characterization. Taking the Kenli 10-A structure of the Bohai Sea as an example, following the principle of “facies-constraining modeling”, the reservoir modeling of sublacustrine fan is carried out in this paper based on various seismic information and highly integrated geological data from drilling, logging and seismic survey. A new modeling technique for sublacustrine fan reservoir is developed by the authors and presented in this paper. The technique is controlled and constrained by the fan reservoir and the three-dimensional sweetness attributes. After several times of modeling, the probability cube of sandstone is obtained and the fine characterization of the channels of the sublacustrine fan completed. Based on the analysis of the connectivity among sand bodies, reservoir prediction is successfully worked out. The research results show that this method can effectively reduce uncertainties and ambiguities in reservoir attribute simulation, improve the accuracy of reservoir prediction, and lay a foundation for later deployment of exploratory wells.
Keywords:Bohai Sea area  sublacustrine fan  random simulation modeling  lithofacies model  reservoir prediction
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