渤海C油田潜山裂缝型储集层随机离散裂缝网络模型的实现与优选方法

摘要

Based on the geological features of fractured reservoir in C oilfield of Bohai Bay, the data of cores, well logging and outcrop were applied to analyze the origin and characteristics of buried hill fractured reservoir. It is considered that stress field and fault are the two main controlling factors for fracture development. Combined the stress field with fault, a set of discrete fracture network （DFN） models was generated to predict the fracture distribution.Through geological features comparison and dynamic data test, the best DFN model was on the optimized DFN and fracture aperture, the porosity model, permeability model and established which provides geological foundation for making more reasonable oilfield development plan.%针对渤海C油田潜山裂缝型储集层的地质特点，综合利用岩心、测井、油藏动态以及露头等资料，分析了潜山裂缝型储集层的成因及发育特点，确定构造应力场和断层的分布为该油田储集层裂缝发育的2个主控因素。将构造应力场与断层分布相结合模拟离散裂缝网络。预测裂缝分布趋势。通过地质特征对比以及动态资料验证，优选出C油田的离散裂缝网络（DFN）。以离散裂缝网络（DFN）为平面约束条件，以井点岩心统计裂缝几何形态为“硬”数据，计算出裂缝孔隙度和渗透率的三维分布，并建立了潜山裂缝型储集层的地质模型。为油田开发方案的制定提供了可靠的地质依据。