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鄂尔多斯盆地中东部石炭纪本溪组致密砂岩储层含气性测井综合评价

Comprehensive Evaluation of Gas Bearing Properties of Carboniferous Benxi Formation Tight Sandstone Reservoir in Central and Eastern Ordos Basin
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摘要 鄂尔多斯盆地中东部石炭纪本溪组致密砂岩粒度较细,泥质含量较高,孔隙度低、渗透率极差,使测井对其含气性的解释难度增大。基于化验分析资料,重点应用核磁共振、阵列声波、阵列感应等成像测井资料,结合常规测井,建立了4类7种方法的本溪组细粒致密砂岩储层含气性测井评价方法研究,利用测井资料综合开展储层含气性的有效识别。研究表明,综合运用常规和成像测井,对本溪组细粒致密砂岩储层含气性综合评价提供了更加有效的途径。开展本溪组细粒致密砂岩储层含气性测井综合评价研究,对煤系致密砂岩气的勘探和开发具有重要的理论意义和应用价值。 The tight sandstone of the Carboniferous Benxi Formation in the central and eastern Ordos Basin has fine grain size,high shaliness content,low porosity and extremely poor permeability,which makes it difficult to interpret its gas content in logging.Based on laboratory analysis data,focusing on the application of imaging logging data such as nuclear magnetic resonance,array acoustic waves,and array induction,combined with conventional logging,a gas bearing logging evaluation method for the Benxi Formation fine-grained tight sandstone reservoir was established using four categories and seven methods.The effective identification of reservoir gas bearing was comprehensively carried out using logging data.The study shows that the comprehensive application of conventional and imaging logging provides a more effective way for the comprehensive evaluation of gas bearing capacity of fine tight sandstone reservoir in Benxi Formation.It is of great theoretical significance and application value to study the comprehensive evaluation method of gas bearing property of fine grained tight sandstone reservoir in Benxi Formation.
作者 李新虎 丁佳萌 程光艺 刘晓梅 马天录 LI Xin-hu;DING Jia-meng;CHENG Guang-yi;LIU Xiao-mei;MA Tian-lu(College of Geology and Environment,Xi'an University of Science and Technology,Xi'an 710054,China;Key Laboratory of Coal Resources Exploration and Comprehensive Utilization,MNR,Xi'an 710021,China)
出处 《科学技术与工程》 北大核心 2024年第13期5364-5371,共8页 Science Technology and Engineering
基金 国家自然科学基金(41702136) 陕西省自然科学基础研究项目(2019JQ-308)。
关键词 本溪组 致密砂岩 含气性 成像测井 Benxi Formation tight sandstone gas content property imaging logging
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