基于改进云模型的致密砂岩气层分类方法

doi:10.3969/j.issn.1006-6535.2022.03.012

特种油气藏 ›› 2022, Vol. 29 ›› Issue (3): 84-91.DOI: 10.3969/j.issn.1006-6535.2022.03.012

基于改进云模型的致密砂岩气层分类方法

李小刚¹, 刘兴¹, 杜佳², 易良平¹, 吴洛菲², 谢秉宏¹

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

收稿日期:2021-07-20 修回日期:2022-03-21 出版日期:2022-06-25 发布日期:2023-01-09
通讯作者: 刘兴(1996—),男,2019年毕业于西南石油大学资源勘查工程专业,现为该校石油与天然气工程专业在读硕士研究生,从事非常规油气藏增产改造理论技术研究工作。
作者简介: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。
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)

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

Li Xiaogang¹, Liu Xing¹, Du Jia², Yi Liangping¹, Wu Luofei², Xie Binghong¹

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:2021-07-20 Revised:2022-03-21 Online:2022-06-25 Published:2023-01-09

摘要/Abstract

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

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

中图分类号:

TE343

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.

Li Xiaogang, Liu Xing, Du Jia, Yi Liangping, Wu Luofei, Xie Binghong. A Classification Method of Tight Sandstone Gas Reservoirs Based on Improved Cloud Model[J]. Special Oil & Gas Reservoirs, 2022, 29(3): 84-91.

参考文献

[1] 唐大海,谭秀成,王小娟,等.四川盆地须家河组致密气藏成藏要素及有利区带评价[J].特种油气藏,2020,27(3):40-46.
TANG Dahai,TAN Xiucheng,WANG Xiaojuan,et al.Tight Gas accumulation elements and favorable zone evaluation of Xujiahe Formation in Sichuan Basin[J].Special Oil & Gas Reservoirs,2020,27(3):40-46.
[2] 邹才能,朱如凯,吴松涛,等.常规与非常规油气聚集类型、特征、机理及展望——以中国致密油和致密气为例[J].石油学报,2012,33(2):173-187.
ZOU Caineng,ZHU Rukai,WU Songtao,et al.Types,characteristics,genesis and prospects of conventional and unconventional hydrocarbon accumulations:taking tight oil and tight gas in China as an instance[J].Acta Petrolei Sinica,2012,33( 2):173-187.
[3] 陈欢庆,丁超,杜宜静,等.储层评价研究进展[J].地质科技情报,2015,34(5):66-74.
CHEN Huanqing,DING Chao,DU Yijing,et al.Advances of reservoir evaluation researches[J].Geological Science and Technology Information,2015,34(5):66-74.
[4] LAW B E.Basin-centered gas systems[J].AAPG Bulletin,2002,86(11):1891-1919.
[5] 王伟,康胜松,高峰,等.基于模糊C均值聚类与Bayes判别的致密油储层分类评价[J].特种油气藏,2020,27(5):118-124.
WANG Wei,KANG Shengsong,GAO Feng,et al.Classification and evaluation of tight oil reservoirs based on fuzzy C-means clustering and Bayes discrimination[J].Special Oil & Gas Reservoirs,2020,27(5):118-124.
[6] 赵军,曹刚,武延亮.多元隶属函数在致密砂岩储层分类中的应用[J].天然气地球科学,2018,29(11):1553-1558.
ZHAO Jun,CAO Gang,WU Yanliang.Application of multivariate membership function for tight sandstone reservoir classification[J].Natural Gas Geoscience,2018,29(11):1553-1558.
[7] LI Changxi,LIU Mi,GUO Bincheng,et al.Classification of tight sandstone reservoirs based on NMR logging[J].Applied Geophysics,2019,16(4):549-558,562.
[8] 李德毅,刘常昱.论正态云模型的普适性[J].中国工程科学,2004,6(8):28-34.
LI Deyi,LIU Changyu.Study on the universality of the normal cloud model[J].Strategic Study of CAE,2004,6(8):28-34.
[9] 李健,汪明武,徐鹏,等.基于云模型的围岩稳定性分类[J].岩土工程学报,2014,36(1):83-87.
LI Jian,WANG Mingwu,XU Peng,et al.Classification of stability of surrounding rock using cloud model[J].Chinese Journal of Geotechnical Engineering,2014,36(1):83-87.
[10] 杨子桐,黄显峰,方国华,等.基于云模型的堤防工程风险评价方法与应用[J].武汉大学学报(工学版),2019,52(7):572-580.
YANG Zitong,HUANG Xianfeng,FANG Guohua,et al.Risk assessment method and application of embankment engineering based on cloud model[J].Engineering Journal of Wuhan University,2019,52(7):572-580.
[11] 李如琦,苏浩益.基于可拓云理论的电能质量综合评估模型[J].电力系统自动化,2012,36(1):66-70.
LI Ruqi,SU Haoyi.A synthetic power quality evaluation model based on extension cloud theory[J].Automation of Electric Power Systems,2012,36(1):66-70.
[12] 李德毅,孟海军.隶属云和隶属云发生器[J].计算机研究与发展,1995,32(6):15-20.
LI Deyi,MENG Haijun.Membership clouds and membership cloud generators[J].Journal of Computer Research and Development,1995,32(6):15-20.
[13] 张光卫,康建初,李鹤松,等.基于云模型的全局最优化算法[J].北京航空航天大学学报,2007,52(4):486-490.
ZHANG Guangwei,KANG Jianchu,LI Hesong,et al.Cloud model based algorithm for global optimization of functions[J].Journal of Beijing University of Aeronautics and Astronautics,2007,52(4):486-490.
[14] 李德毅,刘常昱,杜鹢,等.不确定性人工智能[J].软件学报,2004,15(11):1583-1594.
LI Deyi,LIU Changyu,DU Yi,et al.Artificial intelligence with uncertainty[J].Journal of Software,2004,15(11):1583-1594.
[15] 管岩.鄂尔多斯盆地苏里格气田X区盒₈气藏储层特征研究及综合分类评价[D].陕西:西北大学,2020.
GUAN Yan.Study on reservoir characteristics and comprehensive classification evaluation of He₈ gas reservoir in Block X of Sulige Gas Field,Ordos Basin[D].Shaanxi:Northwest University,2020.
[16] 姜超.苏里格气田盒₈段致密砂岩气储层分类评价研究[D].山东:中国石油大学(华东),2012.
JIANG Chao.Study on classification and evaluation of He₈ tight sandstone gas reservoirs in Sulige Gas Field[D].Shandong:China University of Petroleum(East China),2012.
[17] 杨洁,王国胤,刘群,等.正态云模型研究回顾与展望[J].计算机学报,2018,41(3):724-744.
YANG Jie,WANG Guoyin,LIU Qun,et al.Retrospect and prospect of research of normal cloud model[J].Chinese Journal of Computers,2018,41(3):724-744.
[18] 程乐利,白林坤,韦少校,等.北羌塘拗陷巴贡组致密砂岩储层特征及控制因素[J]. 西南石油大学学报(自然科学版),2021,43(2):10-22.
CHENG Leli, BAI Linkun, WEI Shaoxiao, et al.Characteristics and controlling factors of tight sandstone reservoirs in Bagung Formation in north Qiangtang Depression[J]. Journal of Southwest Petroleum University (Science & Technology Edition),2021,43(2):10-22.
[19] 高阳,王永诗,李孝军,等.基于岩石孔喉结构的致密砂岩分类方法——以济阳坳陷古近系为例[J].油气地质与采收率,2019,26(2):32-41.
GAO Yang,WANG Yongshi,LI Xiaojun,et al.Classification method of tight sandstone based on pore throat structure:a case study of Paleogene in Jiyang Depression[J].Petroleum Geology and Recovery Efficiency,2019,26(2):32-41.
[20] 刘雄,周德胜,师煜涵,等.考虑渗透压的致密砂岩储层渗吸半解析数学模型[J].油气地质与采收率,2018,25(5):93-98.
LIU Xiong,ZHOU Desheng,SHI Yuhan,et al.Semi-analytical mathematical model for imbibition of tight sandstone reservoir considering osmotic pressure[J].Petroleum Geology and Recovery Efficiency,2018,25(5):93-98.
[21] 段志强,李进步,白玉奇,等. 辫状河储层构型表征及对含气饱和度空间分布的控制:以苏里格气田SX密井网区为例[J].大庆石油地质与开发,2020,39(5):1-9.
DUAN Zhiqiang,LI Jinbu,BAI Yuqi,et al. Configuration characterization of the braided river reservoirs and its controls on the spatial distribution of the gas saturation:taking SX infill well block in Sulige Gas Field as an example[J].Petroleum Geology & Oilfield Development in Daqing,2020,39(5):1-9.

基于改进云模型的致密砂岩气层分类方法

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

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