基于图论多分辨率聚类法的测井相划分及渗透率评价——以渤海P油田W井区馆陶组为例

摘要

同一油组(油田)采用同一孔渗指数关系模型计算渗透率时往往会出现比较大的误差.提出基于图论多分辨聚类法的测井相划分方法,即利用邻近指数划分不同类别的测井相,利用核心代表指数优选最佳测井相,该方法参数较少且运行结果稳定.以渤海P油田W井区馆陶组为例,结合地质、测井及岩心铸体薄片等资料,确定了研究区测井相与岩相对应关系,建立了基于测井相约束的渗透率评价模型.应用效果表明,与常规孔渗指数模型计算的渗透率相比,本文模型计算的渗透率与岩心分析渗透率吻合程度更高,进一步提高了地质建模中渗透率建模的精度和准确度,可以为油田的滚动开发方案井位部署提供定量依据.%Adopting the same pore-permeability index relationship model to calculate the permeability in an oil formation (field) is prone to higher error.To address this problem,this paper proposes one logging facies classification method based on graph theory multi-resolution clustering,which uses the neighboring index(NI) to classify the logging facies,and the kernel representative index(KRI) to select the optimal logging facies.This method requires fewer parameters and can generate stable results.By taking Guantao Formation in Well W block of P oilfield,Bohai sea as the study case,the relationship between logging facies and lithologic facies in the study area is established based on geological,logging and core data,and a permeability evaluation model with logging facies as the constraints is constructed.The application results show that the consistence of calculated permeability by the new method with the core analysis permeability is superior to that by the conventional pore-permeability index model.The new method has greatly improved permeability modeling precision and accuracy during geological modeling,which can provide a quantitative basis for well deployment in rolling oilfield development.