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基于空间矢量的点坝砂体储层构型建模
引用本文:李宇鹏,吴胜和,耿丽慧,印森林,陈玉琨. 基于空间矢量的点坝砂体储层构型建模[J]. 石油学报, 2013, 34(1): 133-139. DOI: 10.7623/syxb201301016
作者姓名:李宇鹏  吴胜和  耿丽慧  印森林  陈玉琨
作者单位:1.中国石油大学地球科学学院 北京 102249; 2.University of Alberta Edmonton T6G 1H7
摘    要:提出了一种基于空间矢量的曲流河点坝砂体构型建模方法。传统基于目标的方法是在建模的初始阶段定义网格,而基于空间矢量的储层构型建模方法直接在研究区内投放空间矢量定义的构型要素。该方法借鉴了计算机图像学中矢量图形存储的思路,采用了基于实数集的点、线、面所限定的体来定义构型要素。由于在模拟阶段模型不定义网格,因此模型不受网格尺寸的限制,模型模拟结果可以刻画不同规模层次的构型要素。并且由于在模拟过程中只是对构型要素的空间位置和形态定义参数进行调节,与传统的基于目标的模拟相比,更易满足井的条件约束,模拟收敛速度更快。笔者以中国东部油田某区块点坝砂体构型建模为例,给出了本方法的基本原理和具体的建模流程。

关 键 词:储层构型  随机模拟  矢量存储  目标模拟  曲流河  点坝  侧积层  
收稿时间:2012-05-12

Spatial-vector-based reservoir architecture modeling of point-bar sand
LI Yupeng , WU Shenghe , GENG Lihui , Mehran M.Hasanpour , YIN Senlin , CHEN Yukun. Spatial-vector-based reservoir architecture modeling of point-bar sand[J]. Acta Petrolei Sinica, 2013, 34(1): 133-139. DOI: 10.7623/syxb201301016
Authors:LI Yupeng    WU Shenghe    GENG Lihui    Mehran M.Hasanpour    YIN Senlin    CHEN Yukun
Affiliation:1(1.College of Geosciences,China University of Petroleum,Beijing 102249,China; 2.University of Alberta,Edmonton,T6G 1H7,Canada)
Abstract:The spatial-vector-based stochastic modeling of point-bar reservoir architectures is proposed in this paper. Compared with traditional object-based modeling approaches, this proposed modeling approach has no cell or grid definition at the simulation stage. Architecture elements are simulated directly by dropping them into the modeling domain. Borrowing the idea from the vector image format in computer graphics, we used spatial lines, points and surfaces to form simulated architecture element bodies. The architecture elements are defined with spatial vectors which are expressed using their spatial distribution parameters. And the shape parameters are in real data set. Thus, different scale of heterogeneities can be reproduced from the realization. Because the well data conditioning is obtained through the modification of the architecture elements’ spatial locations and their shape parameters, it is easier to be satisfied. And the simulation has a faster convergent speed compared with traditional object-based approaches because of grid free and parameter adjustment in simulation. A developed block of one oilfield in eastern China, which has a geological background of meandering-river point-bar sand, is used to illustrate the theory and modeling procedures of this approach.
Keywords:reservoir architecture  stochastic simulation  spatial-vector-based storage  object-based simulation  meandering river  point bar  lateral accretion layer  
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