利用地表沉降信息反演油田储层参数

Inversion of Oilfield’s Reservoir Parameters by Surface Subsidence Information

目前,关于油田储层参数反演的研究较少,关于反演模型选择的研究更少,而反演模型的选择是反演过程中最为关键的步骤。以辽河油田最大的采油厂——曙光采油厂为研究对象,基于贝叶斯反演方法,使用双椭球模型和双Okada模型对油田的储层参数反演展开研究,并对比分析两种双源模型反演结果的可靠性。结果表明,双Okada模型的反演结果更可靠,更符合曙光采油厂油田储层参数变化与地表沉降之间的映射关系。研究成果将为油田储层参数反演中的模型选择提供一种新的思路。

At present,there are few researches on inversion of reservoir parameters in oilfield and even less on selection of inversion models,but the selection of inversion models is the most critical step in the inversion process. Taking the largest oil production plant in Liaohe Oilfield(Shuguang Oil Production Plant)as the research object,based on Bayes inversion method,we adopt double ellipsoid model and double Okada model to study the inversion of reservoir parameters in oil field. And the reliability of inversion results of the two double source models is compared and analyzed. The results show that the inversion results of the double Okada model are more reliable and they are more in line with the mapping relationship between reservoir parameters change and surface subsidence in Shuguang Oil Production Plant. Our research is prospected to provide a new idea for model selection in reservoir parameter inversion.