碳酸盐岩储层浸出带分布预测

IF 0.8 Q3 ENGINEERING, PETROLEUM
Georesursy Pub Date : 2022-12-20 DOI:10.18599/grs.2022.4.10
A. Tchistiakov, Kseniia O. Zudina, Aigul R. Davletshina, E. Shvalyuk, V. Baranov
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引用次数: 0

摘要

提出的预测碳酸盐岩储层浸出带空间分布的方法包括综合解释测井数据,包括电显微图像(地层微成像- FMI),以及沉积旋回内的岩相分析。基于FMI数据与岩心岩性和岩石物理研究结果的比较,建立了研究地层的成岩孔隙度图谱。孔隙分型采用Choquette和Pray国际分类。将开发的图谱应用于FMI测井,在参考井中识别和分类岩溶层。在仅进行标准测井的井中,使用开发的决策树识别岩溶层。沉积学和层序地层学分析使识别沉积旋回和对比目标储层内的主要岩相成为可能。确定了微生物相和浅层相是储层最具生产力的部分。这些初始孔隙度较高的相,由于地面暴露,沿层序地层边界受岩溶作用最为强烈。浸出带、岩相、层序地层边界之间的关系为岩溶层段的井间对比提供了可能。这种相关性将允许构建浸出带图,这将进一步应用于地质建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prognosis of leaching zones distribution in carbonate reservoirs
The proposed method of predicting spatial distribution of leaching zones in carbonate reservoirs includes integrated interpretation of well logging data, including electrical microimages (Formation MicroImager – FMI), together with analysis of lithofacies within depositional cycles. Based on the comparison of FMI data with results of lithological and petrophysical studies of the core, an atlas of diagenetic porosity images for the studied formation was developed. Choquette and Pray international classification was used for pore typing. Applying the developed atlas to FMI logs, karstification zones were identified and classified in reference wells. In wells, where only standard well loggings was performed, karstification zones were identified using a developed decision tree. Sedimentological and sequence stratigraphic analysis made it possible to identify sedimentation cycles and to correlate the main lithofacies within the target reservoir. It was established that microbial and shallow facies form the most productive part of the reservoir. These facies with initially high primary porosity were subjected to the most intensive karstification along sequence stratigraphic boundaries due to subaerial exposure. The established relationships between leaching zones, lithofacies, and sequence-stratigraphic boundaries made it possible to carry out inter-well correlation of karstified intervals. The correlation will allow construction of leaching zones maps, that will be further applied for geological modeling.
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来源期刊
Georesursy
Georesursy ENGINEERING, PETROLEUM-
CiteScore
1.50
自引率
25.00%
发文量
49
审稿时长
16 weeks
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