福山凹陷白莲流二段储层分类方法

doi:10.13278/j.cnki.jjuese.20190160

摘要/Abstract

摘要： 福山凹陷白莲地区流二段砂岩储层具有埋藏深、砾石发育、孔隙结构复杂等特点，测井难以准确评价该区储层的有效性。针对这一问题，首先通过分析岩心实验资料，明确了影响该地区储层孔隙结构的主要因素为骨架颗粒接触性质，即喉道性质；其次在此研究基础上，开展了基于压汞实验数据表征储层有效性方法研究，根据反映岩石孔喉的参数（最大半径、平均半径、中值半径、分选系数）和岩石孔隙度构建了表征储层渗流和储集流体能力的综合性指数，并结合试油资料建立了该地区储层分类标准；最后利用回归分析的方法刻度常规测井数据，实现了利用常规测井数据进行储层有效性的评价，并应用在实际生产中，测井解释符合率由原来的72%提高到80%。

关键词: 福山凹陷, 砂岩, 孔隙结构, 储层有效性, 压汞, 储层分类

Abstract: The sandstone reservoir of the Second Member of Liushagang Formation in Bailian area in Fushan sag has the characteristics of deep buried,gravel developed and complex pore structures, which make it difficult to accurately evaluate the effectiveness of the reservoir. Aiming at this, the authors analyzed the core test data firstly to ensure that the main factor affecting the pore structure of the reservoir is the contact property of the skeleton particles, that is, the property of throat. Based on this research, the characterization of the reservoir effectiveness based on mercury intrusion experimental data was carried out, and the characterization of rock pore throat parameters (maximum radius, average radius, median radius, sorting coefficient) and rock porosity was constructed. The comprehensive indices of reservoir seepage and storage capacity were determined in combination with the oil test data to further establish regional reservoir classification criteria. Finally, by using the regression analysis to scale the conventional logging data, the evaluation of reservoir effectiveness using conventional logging data was realized, which is popularized and applied in actual production. The coincidence rate of logging interpretation is increased from 72% to 80%.

Key words: Fushan sag, sandstone, pore structure, reservoir effectiveness, mercury intrusion, reservoir classification

中图分类号:

P618.13

魏博, 赵建斌, 魏彦巍, 李振林, 熊葵. 福山凹陷白莲流二段储层分类方法[J]. 吉林大学学报(地球科学版), 2020, 50(6): 1639-1647.

Wei Bo, Zhao Jianbin, Wei Yanwei, Li Zhenlin, Xiong Kui. Reservoir Classification Method in Second Member of Liushagang Formation in Bailian Area, Fushan Sag[J]. Journal of Jilin University(Earth Science Edition), 2020, 50(6): 1639-1647.

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