Characterization reservoir heterogeneity through integrating multiwell information using 2D/3D semi-analytical flow model

可靠的储层非均质性表征对储层开发过程有直接影响，是油田油藏工程师的愿望。本研究试图利用待开发的二维/三维半解析流动模型，通过整合多口井的静态/动态信息来表征储层非均质性。本研究的最终产品具有多方面的应用领域。传统的理想假设，如均质各向同性储层性质、均匀大断层、地层结构等，从求解的简单性和实时现场应用来看是合理的。但这样做也阻碍了我们对储层特征的进一步了解。提出了基于质量守恒和达西定律的二维/三维半解析流动模型；推导出的微分方程将采用源汇函数法对水库各部分进行求解。然后综合多井响应的静态和动态信息，更好地表征储层非均质性。该方法可以应用于地质研究、地质统计填图、试井和测井等方面的综合信息。本研究尝试应用二维/三维半解析模型整合多口井的静/动态信息；因此，它体现了试井的价值，并提供了一种将地质/地质统计模型与流动模型相结合的准确方法。它将为加拿大的储层描述提供一个新的视角和强大的工具。这一基础研究很可能会推动进一步的联合工业项目（JIP）。

A trustworthy reservoir heterogeneity characterization has a direct impact on the reserve development process and is the desire of field reservoir engineers. This research tries to characterize the reservoir heterogeneity through integrating static/dynamic information of multiple wells using 2D/3D semi-analytical flow models to be developed. The end products of this research have manifold field applications. Traditional idealized assumptions such as homogeneous and isotropic reservoir properties, uniform large scale fault, and formation structure, etc. are reasonable in terms of the simplicity of the solution and the real-time field application. But doing so also prevents us from further understanding the reservoir characteristics. The proposed 2D/3D semi-analytical flow models will be developed based on the application of mass conservation and Darcy's law; the derived differential equation will be solved using the source and sink function method for each part of the reservoir.  Then static and dynamic information of multiple well responses will be integrated to accomplish a better reservoir heterogeneity characterization. It is expected that this methodology can be applied to integrate information from geology study, Geostatistics mapping, well testing and well logging. This research tries to apply the 2D/3D semi-analytical models to integrate static/dynamic information of multiple wells; thus honors the value of well testing and offers an accurate way to couple geological/geostatistical models with flow models. It will provide a new perspective and a powerful tool to conduct reservoir characterization in Canada. It is likely that this fundamental research will promote further Joint Industry Project (JIP).