【摘要】 为研究井间连通性,利用注采数据建立了可模拟井间油水动态的新连通性计算模型。该模型对油藏注采系统进行了简化表征,将其离散成井与井之间的连通单元,每个单元由传导率和控制体积两个特征参数表征;基于连通单元通过物质平衡和水驱前缘推进方程进行井点压力计算和饱和度追踪,最终得出井点处的油水产出动态;在此基础上结合投影梯度算法通过拟合实际动态建立了模型参数自动反演方法。该模型相比传统连通性模型可以进行油水动态指标的预测、实时反映井间相互作用和连通状况、有效表征油藏井间地层参数。应用实例表明,其反演结果可靠,并与示踪剂测试结果吻合,进一步验证了该方法的有效性。更多还原

【Abstract】 To study interwell connectivity,a novel numeric simulation model(ICNS)is established for oil-water two-phase flow using injection-production data.The ICNS model simplifies reservoir injection-production system and divides it into a number of interwell connective units,each of which is characterized by two parameters,transmissibility and control pore volume.Well pressure calculation and saturation tracking are implemented by solving material balance and front tracking equations for the connective units.Finally,oilwater dynamic production data of the well are obtained.Combined with the projection gradient algorithm,a model parameter inversion method for the ICNS model is established by fitting the actual dynamic data.Compared with conventional interwell connectivity estimation models,the ICNS model is able to predict oil-water two-phase dynamic production,reflect real-time interwell interaction and connectivity,and effectively characterize interwell geological parameters of reservoir.Field application of the ICNS model indicates that the result of inversion is reliable and coincident with tracer test data,further verifying the validity of the proposed method.更多还原