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裂缝性低渗透砂砾岩油藏具有沉积类型丰富、岩性复杂、储层物性差等特征,造成现有单一油藏研究与管理方法无法满足认识油藏非均质特征的要求,给油藏的开发和管理带来较大难度。以盐家油田盐22块为例,探讨了油藏描述与油藏数值模拟相结合的一体化研究方法,根据建立的半定量一定量储层地质知识库,实现了等时建模、成因控制相建模、确定性条件约束随机建模三者的有效结合,采用随机模拟方法建立了基质地质模型。利用岩心观察、成像测井等资料建立了离散裂缝网络模型,通过统计学粗化方法得到了双重介质模型所需的属性参数。最后,通过油藏数值模拟的历史拟合过程完善地质模型。生产实践表明,一体化的研究思路和技术可较好地利用各种动、静态资料综合反映油藏地质特征,从多角度加深对油藏的认识程度,为进一步提高油藏采收率提供决策依据。
The fractured low-permeability glutenite reservoirs are characterized by rich sedimentary types, complex lithologies and poor reservoir properties, which make the existing single reservoir research and management methods unable to meet the requirement of recognizing reservoir heterogeneity, Development and management bring greater difficulty. Taking Salt 22 of Yanjia Oilfield as an example, the integrated research method of reservoir description and reservoir numerical simulation is discussed. Based on the semi-quantitative and quantitative reservoir geological knowledge base established, isochronous modeling and genetic control Phase modeling and deterministic conditional constraint stochastic modeling, a stochastic modeling method was used to establish the matrix geological model. The discrete fracture network model was established by using core observation and imaging logging data. The required attribute parameters of the dual medium model were obtained by the statistical coarsening method. Finally, the geological model is refined through the history fitting process of reservoir numerical simulation. Production practice shows that the integrated research ideas and technologies can make good use of a variety of dynamic and static data to comprehensively reflect the geological characteristics of reservoirs and deepen the understanding of reservoirs from multiple perspectives and provide a decision-making for further enhancing oil recovery in accordance with.