苏里格气田储层建模方法对比优选分析
——以苏6加密实验区块为例

2015年 22卷 第06期
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Comparative analysis of reservoir modeling for Sulige Gas Field:Taking Su 6 infill test area for example
贾云超1 尹楠鑫2 李存贵3 李中超2 张吉4 马艳艳2 刘云华2 胡列侠2
中国石化中原油田分公司采油三厂,山东 莘县 252429 中国石化中原油田分公司勘探开发研究院,河南 濮阳 457001 中国石化中原油田分公司开发管理部,河南 濮阳 457001 中国石油长庆油田公司勘探开发研究院,陕西 西安 710021
No.3 Oil Production Plant, Zhongyuan Oilfield Company, SINOPEC, Shenxian 252429, China Research Institute of Exploration and Development, Zhongyuan Oilfield Company, SINOPEC, Puyang 457001, China Development and Management Department, Zhongyuan Oilfield Company, SINOPEC, Puyang 457001, China Research Institute of Exploration and Development, Changqing Oilfield Company, PetroChina, Xi′an 710021, China
苏里格气田低渗透储层非均质性强,难以建立高精度三维地质模型。文中以苏里格气田苏6加密实验区块为例,探索了最适宜的方法,以建立相应的储层地质模型。在变差函数对比优选的基础上,开展了克里格法和序贯高斯方法建模研究,继而从平面和剖面的角度对运用2种方法所建的克里格模型、球状模型、指数模型、高斯模型进行对比分析。研究发现,以序贯高斯方法建立的球状模型最能精细刻画苏里格气田苏6加密实验区块储层地质特征以及有效储层的空间展布。同时,利用生产动态资料进一步验证了序贯高斯建模方法在该区的适应性。研究结果为油田开发提供了可靠的地质基础,也为苏里格气田相似地质条件和资料条件的区块地质模型研究提供了技术和方法的借鉴。
As it is difficult to build high-precision 3D geological model because of strong heterogeneity of low permeability reservoir in Sulige Gas Field, this article took Su 6 dense experimental area as a case to explore the suitable method to build relevant model. On the basis of contrast and optimization of variogram, we carried out a study on Kriging method and sequence Gauss method. According to the comparison of Kriging model, spherical model, exponential model, Gauss model of these two methods from both planar and profile perspectives, it is tempting to conclude that spherical model based on sequence Gauss method is the most useful in meticulous depiction on reservoir characteristics and effective reservoir spatial distribution. The adaptability of the sequence Gauss method was confirmed by production dynamic data. The conclusion provides geological support for field development, and the study could be a reference for the similar area.
三维地质模型; 克里格模型; 球状模型; 指数模型; 高斯模型; 苏里格气田;
3D geological model; Kriging model; spherical model; exponential model; Gauss model; Sulige Gas Field;
10.6056/dkyqt201506018