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    基于测井资料的储层裂缝识别与有效性评价研究进展

    Research progress of reservoir fracture identification and effectiveness evaluation based on logging data

    • 摘要: 在全球能源需求持续增长、国际油气资源开发不断深化的背景下,裂缝性储层已成为油气勘探开发的重点目标。裂缝的精准识别与有效性评价是决定裂缝性储层勘探开发成效与产能效率的核心要素。本文从裂缝类型与特征、裂缝发育评价参数、裂缝识别及有效性评价方法三方面,系统梳理基于测井资料的储层裂缝评价研究进展。将储层裂缝评价技术划分为两大类:基于单一测井资料的裂缝定性与定量识别、基于地质力学与多参数耦合的裂缝有效性综合评价。测井识别可获取裂缝产状、密度、开度、充填性等几何形态参数;有效性评价可分析裂缝渗流能力、力学开启状态及产能贡献潜力。当前裂缝评价技术已形成多元方法体系,如何建立适配深层、复杂及非常规储层的统一化、定量化裂缝识别与评价体系,是该领域亟需解决的核心问题。融合多测井技术、耦合地质力学参数、结合人工智能构建多维度评价模型,是裂缝识别与有效性评价的未来发展趋势。

       

      Abstract: Under the background of the continuous growth of global energy demand and the deepening of international oil and gas resources development, fractured reservoirs have become the key target of oil and gas exploration and development. Accurate identification and effectiveness evaluation of fractures are the core elements that determine the exploration and development effectiveness and productivity efficiency of fractured reservoirs. This paper systematically reviews the research progress of reservoir fracture evaluation based on logging data from three aspects : fracture type and characteristics, fracture development evaluation parameters, fracture identification and effectiveness evaluation methods. The reservoir fracture evaluation technology is divided into two categories : qualitative and quantitative identification of fractures based on single logging data, and comprehensive evaluation of fracture effectiveness based on geomechanics and multi-parameter coupling. Logging identification can obtain geometric parameters such as fracture occurrence, density, opening and filling. Effectiveness evaluation can analyze fracture seepage capacity, mechanical opening state and productivity contribution potential. At present, the fracture evaluation technology has formed a multi-method system. How to establish a unified and quantitative fracture identification and evaluation system suitable for deep, complex and unconventional reservoirs is the core problem that needs to be solved in this field. Integrating multi-logging technology, coupling geomechanical parameters, and combining artificial intelligence to build a multi-dimensional evaluation model is the future development trend of fracture identification and effectiveness evaluation.

       

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