中国石油勘探 ›› 2024, Vol. 29 ›› Issue (4): 128-145.DOI: 10.3969/j.issn.1672-7703.2024.04.010

• 工程技术 • 上一篇    下一篇

深层煤岩气地质品质及含气量测井评价方法研究

石玉江,何羽飞,万金彬,郭笑锴,于红果,杨仁杰   

  1. 中国石油集团测井有限公司
  • 出版日期:2024-07-15 发布日期:2024-07-15
  • 作者简介:石玉江(1971-),男,甘肃庄浪人,博士,2012年毕业于西北大学,教授级高级工程师,主要从事测井技术应用、地质综合研究与管理工作。地址:陕西省西安市高新技术开发区锦业二路丈八五路50号,邮政编码:710077。
  • 基金资助:
    中国石油集团测井有限公司科学研究与技术开发项目课题“深层煤岩气测井评价关键技术研究”(CNLC2023-8B02)。

Research on logging evaluation methods for geological quality and gas content of deep coal measure gas

Shi Yujiang,He Yufei,Wan Jinbin,Guo Xiaokai,Yu Hongguo,Yang Renjie   

  1. China National Logging Corporation
  • Online:2024-07-15 Published:2024-07-15

摘要: :深层煤岩气作为非常规油气开采领域的重点勘探开采目标之一,已逐渐成为我国天然气资源供给的重要来源。相较于中浅层煤层气储层,深层煤岩气储层气体赋存特征及地质特征更为复杂。以鄂尔多斯盆地B 区块为例,与中浅层煤层气相比,深层煤岩气在地质特征上呈现出含气量更高、煤体结构更优、储层物性更差,以及储层温度、压力、地层水矿化度更高的特征。通过系统分析深层煤岩气地质特征,总结出煤层具有典型的低密度、低自然伽马、高中子、高声波时差、高电阻率的测井响应特征,并基于此实现煤储层识别;分析不同煤体结构对应测井响应特征差异,优选测井参数建立适用于靶区的煤体结构因子并完成煤体结构划分;依据实验结果并结合目标层测井相响应特征,创建了煤岩变骨架参数条件下的孔隙度测井解释模型;基于实验数据,对比分析测井响应与组分及组分间相关性,构建了靶区工业组分测井评价模型。在完成煤层识别、煤岩组分计算、煤体结构划分等地质品质参数评价的基础上,形成了常规和核磁—等温吸附联测含气量评价技术,以实现针对深煤岩储层游离气和吸附气的联合计算,为深层煤岩气储量和资源量计算提供保障;同时以进一步提升深层煤岩气勘探效率和开发效益为目的,提出了针对深煤岩储层评价的测井建议及技术攻关方向展望,以满足深层煤岩气产业高质量发展的目标。

关键词: 深层煤岩气, 测井评价, 含气量, 测井系列, 攻关方向

Abstract: The deep coal measure gas is one of the key exploration and production targets in the field of unconventional oil and gas exploration,which has gradually grown to be a major source of natural gas resources in China. Compared with medium-shallow coalbed methane (CBM)reservoirs, the deep coal measure gas reservoirs are characterized by more complex gas occurrence and geological characteristics. For example,in B block in Ordos Basin, the deep coal measure gas shows higher gas content, better coal structure, poorer reservoir physical properties, and higher reservoir temperature, pressure, and formation water salinity than that in middle-shallow formations. The geological characteristics of deep CBM have systematically been analyzed, which support to summarize the typical logging response characteristics of coal seams, such as low density, low GR, high neutron, high acoustic time difference, and high resistivity, and achieve the identification of coal reservoir; After analyzing the different logging response characteristics of various coal structures, some logging parameters have optimally been selected to establish coal structure factors applicable for the target area and classify coal structure types; Based on experimental results and combined with logging response characteristics of target interval, a porosity logging interpretation model has been established by using variable matrix parameters of coal rocks; Based on the experimental data, the correlation between logging response and macerals has been analyzed, as well
as that between macerals, which supports to construct a proximate component logging evaluation model in the target area; After conducting geological quality parameters evaluation such as coal seam identification, maceral calculation, and coal structure classification, the conventional and NMR-isothermal adsorption combined gas content evaluation technology has been developed to calculate both free gas and adsorbed gas in deep coal reservoirs, providing guarantees for the calculation of deep coal measure gas resources and reserves; Furthermore, with the aim of further improving the exploration efficiency and development benefits of deep coal measure gas, logging suggestions and technical research directions for the evaluation of deep coal reservoir have been proposed, so as to meet the goal of high-quality development of the deep coal measure gas industry.

Key words: deep coal measure gas, logging evaluation, gas content, logging series, research direction

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