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深部煤层气地质-工程一体化甜点区预测

陈峥嵘 刘伟 朱学申 田永净 谢昕

煤田地质与勘探2025,Vol.53Issue(6):191-200,10.
煤田地质与勘探2025,Vol.53Issue(6):191-200,10.DOI:10.12363/issn.1001-1986.24.11.0727

深部煤层气地质-工程一体化甜点区预测

Prediction of geological and engineering integrated sweet spots of deep coalbed methane

陈峥嵘 1刘伟 2朱学申 3田永净 3谢昕3

作者信息

  • 1. 中国石油大学(北京)石油工程学院,北京 102249||油气资源与工程全国重点实验室,中国石油大学(北京),北京 102249||中海油研究总院有限责任公司,北京 100028
  • 2. 中国石油大学(北京)石油工程学院,北京 102249||油气资源与工程全国重点实验室,中国石油大学(北京),北京 102249
  • 3. 中海油研究总院有限责任公司,北京 100028
  • 折叠

摘要

Abstract

[Objective]Deep coalbed methane(CBM)has emerged as a hot topic in CBM resource development.However,deep CBM has characteristics such as great burial depths,complex stress environments,and strong reservoir heterogeneity,which seriously restrict sweet spot prediction and accurate well location deployment in its large-scale ex-ploitation.[Methods]This study investigated a deep CBM field along the eastern margin of the Ordos Basin.Using son-ic,density,and caliper logging,this study developed a coal structure index model for deep coals.By introducing the coal structure index based on the coal structure differences in deep coal seams and combining factors including overburden formation pressure,tectonic stress,and pore pressure,this study established an adaptive horizontal in-situ stress differ-ence model for deep coal seams.Based on the rock strength parameter,the enlargement rate of wellbore diameter,and the fracture toughness of rocks,a natural fissure index model was constructed.By integrating these three models,as well as the six indices of geological and engineering sweet spots,this study developed an intelligent prediction model of geo-logical and engineering integrated sweet spots of deep CBM using support vector machine(SVM).[Results]The results indicate that the intelligent prediction model of geological and engineering integrated sweet spots yielded a prediction accuracy of 88.2%.Classes Ⅰ,Ⅱ,and Ⅲ sweet spots were identified in the study area,with areas of 117.4 km2(14.0%),258.4 km2(30.8%),and 463.1 km2(55.2%),respectively,and average predicted production of 6 478.6 m3/d,5 076.7 m3/d,and 4 022 m3/d,respectively.[Conclusions]Based on the results of this study,it is recommended to focus on Class Ⅰ sweet spots,actively explore Class Ⅱ sweet spots,and proactively avoid Class Ⅲ sweet spots in the well loca-tion deployment for deep CBM in the study area.The fine-scale prediction of geological and engineering integrated sweet spots can provide valuable guidance for reserve growth and production addition of deep CBM along the eastern margin of the Ordos Basin.

关键词

深煤层/地质-工程一体化/甜点/镜质体反射率/煤体结构/天然裂缝指数/地应力差

Key words

deep coalbed methane(CBM)/geology-engineering integration/sweet spot/vitrinite reflectance/coal struc-ture/natural fracture index/in-situ stress difference

分类

能源科技

引用本文复制引用

陈峥嵘,刘伟,朱学申,田永净,谢昕..深部煤层气地质-工程一体化甜点区预测[J].煤田地质与勘探,2025,53(6):191-200,10.

基金项目

国家自然科学基金面上项目(52074313) (52074313)

中海石油(中国)有限公司项目(KJGG2022-1001,2021-YXKJ-010) (中国)

煤田地质与勘探

OA北大核心

1001-1986

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