天然气地球科学

• 非常规天然气 • 上一篇    下一篇

基于灰色关联的页岩储层含气性综合评价因子及应用——以四川盆地焦石坝区块为例

苟启洋,徐尚,郝芳,舒志国,杨峰,陆扬博,张爱华,王雨轩 ,程璇,青加伟 ,高梦天#br#   

  1. 1.构造与油气资源教育部重点实验室,中国地质大学资源学院,湖北 武汉 430074;
    2.中国石油大学地球科学与技术学院,山东 青岛 266580;
    3.中国石化江汉油田分公司,湖北 潜江 433124
  • 收稿日期:2018-11-13 修回日期:2019-03-17 出版日期:2019-07-10
  • 通讯作者: 徐尚(1985-),男,湖北武汉人,副教授,博士,主要从事油气成藏机理和非常规油气地质研究. E-mail:xushang0222@163.com.
  • 作者简介:苟启洋(1994-),男,重庆人,硕士研究生,主要从事非常规油气研究.E-mail:1219294089@qq.com.
  • 基金资助:
    国家自然科学基金重大项目(编号:41690134);国家自然基金创新群体项目“油气成藏机理”(编号:41821002);国家自然科学基金青年基金(编号:41702155);国家科技重大专项(编号:2016ZX05034002-003)联合资助.

A comprehensive evaluation index of gas-bearing property of shale reservoirs based on grey relation and its application:Case study of Jiaoshiba area,Sichuan Basin

Gou Qi-yang,Xu Shang,Hao Fang,Shu Zhi-guo,Yang Feng,Lu Yang-bo,Zhang Ai-hua,Wang Yu-xuan,Cheng Xuan,Qing Jia-wei,Gao Meng-tian   

  1. 1.Key Laboratory of Tectonics and Petroleum Resources Ministry of Education;
    Faculty of Earth Resources,China University of Geosciences,Wuhan 430074,China;
    2.School of Geosciences,China University of Petroleum,Qingdao 266580,China;
    3.Jianghan Oilfield Company,SINOPEC,Qianjiang 433124,China
  • Received:2018-11-13 Revised:2019-03-17 Online:2019-07-10
  • Contact: Xu Shang(1985-), Male, Associate professor, Ph.D, Mainly engaged in petroleum accumulation mechanism and unconventional petroleum geology research. E-mail:xushang0222@163.com.
  • About author:Gou Qiyang(1994-), Male, Master degree candidate, Mainly engaged in unconventional oil & gas research. E-mail:1219294089@qq.com.
  • Supported by:

    Supported by the?Major?Program?of?the?National?Natural?Science?Foundation?of?China (Grant No.41690134); the?Innovative?Research?Groups?of?the?National?Natural?Science?Foundation?of?China “Mechanism of hydrocarbon accumulation” (Grant No.41821002); the National Natural Science Foundation for Young Scholar of China (Grant No.41702155); the China National Science and Technology Major Project (Grant No. 2016ZX05034002-003).

摘要: 准确评价页岩储层含气性特征是实现页岩气井科学化管理、提高页岩气勘探开发效果的重要前提。基于灰色关联理论和焦石坝区块实际地质情况,筛选出实测含气量、含气饱和度、气测显示(气测全烃和气测含烃式甲烷)、孔隙度、总有机碳(TOC)和脆性矿物含量(石英+长石)等7个评价指标,对研究区7口关键井含气性特征进行综合分析。结果显示:①根据灰色关联理论可以定量计算各评价指标相关性和权重系数,获取含气性综合评价因子,实现地质和工程多因素联合表征页岩含气性;②基于综合评价因子差异,可以将页岩储层划分为3种类型,其中Ⅰ类储层评价因子大于0.8,页岩含气性较好,压裂投产为高产井(无阻流量为20×104m3/d以上);Ⅱ类储层评价因子介于0.6~0.8之间,页岩含气性中等,压裂投产为中产井[无阻流量介于(5~20)×104m3/d之间];Ⅲ类储层评价因子小于0.6,页岩含气性较差,压裂投产为低产井(无阻流量在5×104m3/d以下)。结论认为,利用综合评价因子预测页岩含气性结果与压裂投产试井产能对应关系较好,对分析和预测页岩气井产能效益具有一定指示作用。

关键词: 灰色关联, 页岩气, 影响因素, 含气性评价, 焦石坝地区, 四川盆地

Abstract: Accurate evaluation of gas-bearing characteristics of shale reservoirs is an important prerequisite for scientific management of shale gas wells and improvement of shale gas exploration and development.Based on the grey correlation theory and geological conditions of Jiaoshiba area,the measured gas content,gas saturation,gas logging show (gas logging total hydrocarbon and methane),porosity,total organic carbon (TOC)and brittle mineral content (quartz+feldspar)were screened.Those indicators were used to analyze the gas bearing characteristics of 7 key wells in the study area.The results showed that:(1)According to the grey relational theory,the correlation and weight coefficient of each factor can be quantitatively calculated,and the gas-bearing comprehensive evaluation index can be obtained to realize the multi-factor geological and engineering factors to characterize the shale gas-bearing property;(2)Based on the comprehensive evaluation index difference,the shale reservoirs can be divided into three types.The evaluation index of typeⅠreservoir is more than 0.8 and the shale gas bearing property is good,which is high-yield well (more than 20×104m3/d).TypeⅡ is 0.6-0.8,the shale gas bearing property is moderate,and it is medium-yield well (the yield is (5-20)×104m3/d).Type Ⅲ is less than 0.6,and the shale gas bearing property is poor,which is low-yield well (less than 5×104m3/d).The comprehensive evaluation index was used to predict shale gas bearing and has a good correlation with actual production,which has a certain indication effect on the analysis and prediction of shale gas well productivity.

Key words: Grey correlation, Shale gas, Influencing factors, Gas bearing evaluation, Jiaoshiba area, Sichuan Basin

中图分类号: 

  • TE122.2
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