考虑孔隙成岩演化特征的深水深层气藏渗透率精细评价方法

Fine evaluation method of permeability in deep water and deep gas reservoirs considering pore diagenetic evolution characteristics

摘要

深水深层气藏由于其特殊地质、工程条件,同时面临储层低孔低渗和勘探开发成本高的双重难题,获取准确储层物性信息对气田经济性和开发工程方案编制至关重要。通过对琼东南盆地储层成岩演化和物性主控因素的分析,明确以原次生孔隙占比为核心的成岩相划分标准和典型测井响应特征,优选出测井敏感参数,采用组合图版和深度学习算法实现成岩相的测井识别。在渗透率建模方面,首先创新建立深水深层特色的变有效覆压物性建模技术,实现深水深层地面实验渗透率向地下储层渗透率的精确转化;其次,在储层成岩相分类的基础上引入孔隙度和伽马等多参数建立渗透率综合预测模型。结果表明,新方法使研究区6口井测井渗透率半个数量级误差范围内占比提升了23.7%。该方法在相关探井评价中明显提高了渗透率评价精度,在类似高覆压、强次生孔隙发育的复杂储层勘探评价中可复制推广。

Abstract

Due to their unique geological and engineering conditions, deepwater and deep gas reservoirs face dual challenges of low porosity and low permeability, as well as high exploration and development costs. Therefore, obtaining accurate reservoir property information is crucial for improving gas field economic performance and optimizing development strategies. Based on an analysis of diagenetic evolution and the main controlling factors affecting reservoir properties in the study area, this study establishes diagenetic facies classification criteria centered on the proportions of primary and secondary pores, together with their characteristic logging responses. Sensitive logging parameters are optimally selected, and both chart boards and deep learning algorithms are employed to achieve logging-based identification of diagenetic facies. For permeability modeling, a novel variable effective overburden pressure petrophysical modeling method dedicated to deep-water and deep formations is proposed to achieve the accurate conversion of surface experimental permeability to in-situ reservoir permeability. On the basis of reservoir diagenetic facies classification, a comprehensive permeability prediction model is further developed by incorporating multiple parameters including porosity and gamma ray logging data. The results indicate that the proposed method improves the proportion of logging permeability with errors within half an order of magnitude by 23.7% for six wells in the study area. The proposed method significantly improves the accuracy of permeability evaluation in exploration wells and demonstrates strong potential for application in similar complex reservoirs characterized by high effective overburden pressure and well-developed secondary porosity.

关键词

深水深层 / 成岩演化 / 测井识别 / 多参数 / 渗透率评价

Key words

deep-water and deep gas reservoir / diagenetic evolution / logging identification / multi-parameter / evaluation of permeability

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基金资助

中国海洋石油有限公司“十四五”重大科技项目(KJGG 2022-0405)

中国海洋石油集团有限公司综合科研项目(KJZH 2024-1903)