昆北油田Q区块储层以低孔隙度,低渗透率储层为主,含油井段长,储层孔隙度渗透率关系较差,油、水层测井响应特征复杂.通过开展多学科结合的测井解释评价研究,分析淡水泥浆对阵列感应和双侧向测井的不同影响,明确了阵列感应测井在油水层测井识别时明显优于双侧向测井;研究区储层孔隙类型多样,通过分析不同类型储层测井响应特征,选择对储层敏感的常规测井曲线,应用加权累加方法建立了常规测井对储层孔隙结构的分类.在此基础上,建立了针对性低孔隙度,低渗透率油层测井识别评价方法和图版,有效解决了该区块的油、水层测井识别难题.%Q block of Kunbei oilfield with long section of pay zones is featured by low porosity and low permeability reservoirs ,which results in very complex interrelationship of permeability and porosity as well as complicate oil and water layer logging responds .Through multi-discipline study and integrated interpretation ,we analyzed the effects of fresh water mud on array induction and lateralog ,it is found that the former is much more suitable than the later in the case study reservoir .We also studied log facies of different rock types and identified logs sensitive to these various rock types .With weighted accumulation method ,an optimized model of pore structure classification with conventional logs is built .On this basis ,the workflow and related charts are built for hydrocarbon evaluation in the studied block . The method is also useful for similar reservoirs with low porosity and low permeability .
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