基于改进云模型的致密砂岩气层分类方法

李小刚; 刘兴; 杜佳; 易良平; 吴洛菲; 谢秉宏

doi:10.3969/j.issn.1006-6535.2022.03.012

特种油气藏 >

2022 , Vol. 29 >Issue 3: 84 - 91

DOI: https://doi.org/10.3969/j.issn.1006-6535.2022.03.012

油藏工程

基于改进云模型的致密砂岩气层分类方法

李小刚 ,
刘兴 ,
杜佳 ,
易良平 ,
吴洛菲 ,
谢秉宏

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1.西南石油大学油气藏地质及开发工程国家重点实验室,四川成都 610500;
2.中联煤层气有限责任公司,北京 100016

李小刚(1981—),男,教授,博士生导师,2003年毕业于西南石油学院石油工程专业,2009年毕业于西南石油大学油气田开发工程专业,获博士学位,现从事油气增产、采油气工程理论与技术研究工作。

收稿日期: 2021-07-20

修回日期: 2022-03-21

网络出版日期: 2023-01-09

基金资助

国家科技重大专项“临兴地区上石盒子组、太原组储层物性与压裂工艺匹配性研究”(ZZGSSAPPXYJ2021-221)

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A Classification Method of Tight Sandstone Gas Reservoirs Based on Improved Cloud Model

Li Xiaogang ,
Liu Xing ,
Du Jia ,
Yi Liangping ,
Wu Luofei ,
Xie Binghong

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1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploration, Southwest Petroleum University, Chengdu, Sichuan 610500, China;
2. China United Coalbed Methane Corporation Ltd., Beijing 100016, China

Received date: 2021-07-20

Revised date: 2022-03-21

Online published: 2023-01-09

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摘要

针对油气藏储层分类存在模糊性和随机性导致难以准确分类定级的问题,提出一种基于改进云模型的致密砂岩气层分类方法。根据致密砂岩储层特点优选出5个评价参数,确定了各参数分类定级界限值,运用改进云模型计算云数字特征并生成云图,分析各参数隶属于不同储层的确定度,结合参数的权重系数形成储层综合评价分类模型。将该方法应用于苏里格临兴区块样本井评价,分类结果显示:Ⅰ、Ⅱ类优质储层均有较高的无阻流量,而Ⅲ、Ⅳ类储层无阻流量相对较低,验证了所建立的储层分类方法的可行性和有效性。研究成果兼具模糊性和随机性,提高了储层分类定级的精确度,对现场勘探开发具有重要指导意义。

关键词： 致密砂岩; 储层分类; 云模型; 苏里格气田

本文引用格式

李小刚 , 刘兴 , 杜佳 , 易良平 , 吴洛菲 , 谢秉宏 . 基于改进云模型的致密砂岩气层分类方法[J]. 特种油气藏, 2022 , 29(3) : 84 -91 . DOI: 10.3969/j.issn.1006-6535.2022.03.012

Abstract

A method of classifying dense sandstone gas reservoirs based on improved cloud model was proposed to address the difficulties in accurate classification of oil and gas reservoirs due to ambiguity and randomness. Five evaluation parameters were preferentially selected according to the characteristics of dense sandstone reservoirs, the classification and grading thresholds of each parameter were determined, the cloud numerical characteristics were calculated with an improved cloud model to generate a cloud map, the certainty of each parameter belonging to different reservoirs was analyzed, and a comprehensive model for reservoir evaluation and classification was established in combination with the weighting coefficients of the parameters. The method was applied to the evaluation of sample wells in Linxing Block, Sulige, and the classification results showed that the high-quality reservoirs of Type I and II were of open-flow capacity, while the open-flow capacity of Type III and Ⅳ reservoirs was relatively low, verifying the feasibility and effectiveness of the established reservoir classification method. The study results are both fuzzy and stochastic, improving the accuracy of reservoir classification and grading, with important guiding significance for field exploration and development.

Key words： tight sandstone; reservoir classification; cloud model; Sulige Gas Field

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