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首页> 外文会议>Abu Dhabi International Petroleum Exhibition Conference >Generation of Structural Framework Integrated with Borehole Images Logs and Pressure Transient Analysis in Giant Carbonate Field, Shuaiba Formation, Onshore Abu Dhabi, United Arab Emirates
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Generation of Structural Framework Integrated with Borehole Images Logs and Pressure Transient Analysis in Giant Carbonate Field, Shuaiba Formation, Onshore Abu Dhabi, United Arab Emirates

机译：一代与钻孔图像集成的结构框架日志和压力瞬态分析，巨型碳酸盐田，余a群，陆上阿布扎比，阿拉伯联合酋长国

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During the last decade, some problems have appeared and being affecting the oil production of the mature giant oil field such as: flow boundaries, by pass zones, fractures, etc. hence, the characterization of the reservoir by the integration of static and dynamic data acquired along the field life is required. The new generation of static model is justified in the need to involve the lessons learnt from the previous static/ dynamic models with the incorporation of the recent studies and well data. The aim of this article is to integrate the structural seismic interpretation and results of pressure transient analysis obtained from well test, such as distance to potential flow boundaries, average permeability, among others, into the workflow of the new geological static model, through the validation with the conceptual geological understanding of the reservoir. Such workflow not only considers different sources for the reservoir characterization but also reduce the alternative solutions of the well test data to the best-fit solution for the integration. In a typical geological modeling workflow, structural framework is built first, based on the zones definition that include well information, well log data, structural seismic interpretation and the stratigraphic characterization that allow capturing the vertical heterogeneity. Subsequently, the sedimentary-stratigraphic architecture is used as main constrain together with geostatistical methods to distribute the petrophysical properties for each zones. The well test results independently are a punctual dynamic response of the reservoir in a portion of the time and within a certain tested area around the well. However, the integration with the conceptual geological model can resolve the uncertainty that alone cannot respond enable a more robust interpretation of main reservoir heterogeneities. The study proposes the inclusion of the well test data to support and validate, firstly the structural connectivity of the zones through the well test interpretation (validation of faults, dual porosity zones, dense zones, etc.), and secondly calibrate the permeability model with additional dataset than only from cores, which, even though derived from dynamic data, are incorporated in the static model workflow. Implementation of workflow allowed modeling of 48 zones with different petrophysical properties and 122 faults in the static model, which were ranked in three confidence categories. Faults observed by only seismic interpretation were ranked as low, faults calibrated by one of the 57 borehole images logs (BHI) were ranked as mid confidence, and finally, faults that were validated with best-fit result of well test, where interpretation suggest the presence of a boundary as fault and is consistent with the seismic and/or BHI interpretation, is ranked as the highest confidence, inasmuch as the fault is validated statically and dynamically.
机译：在过去十年中，一些问题出现并影响了成熟的巨型油田的石油生产，如：流量区域，裂缝等，通过静态和动态数据的集成来表征水库需要沿着现场生活获得。新一代静态模型是有必要的，需要涉及从先前的静态/动态模型中汲取的经验教训，并入最近的研究和井数据。本文的目的是通过验证整合从井测试中获得的结构地震解释和压力瞬态分析的结果，例如与潜在流界限的距离，平均渗透率，进入新地质静态模型的工作流程，通过验证随着储层的概念地质理解。此类工作流程不仅考虑了储层特性的不同来源，还将井测试数据的替代解决方案还原为集成的最佳解决方案。在典型的地质建模工作流程中，基于包括井信息，井日志数据，结构地震解释和地层表征的区域定义，构建了结构框架，允许捕获垂直异质性。随后，沉积地层架构用作主要约束以及地质统计方法，以分配每个区域的岩石物理性质。井测试结果独立地是储层在井周围的一定时间内的储层的准时动态响应。然而，与概念地质模型的整合可以解决单独的不确定性不能响应能够更加强大地解释主储层异质性。该研究提出包括井测试数据来支持和验证，首先通过井测试解释（故障验证，双孔隙区，密集区域等）的结构连接，并用来校准渗透性模型仅来自核心的其他数据集，即使从动态数据中导出，也包含在静态模型工作流程中。工作流程的实施允许在静态模型中使用不同的岩石物理特性和122个故障建模，在三个置信范围内排名。只有地震解释所观察到的缺陷被排名为低，由57个钻孔图像日志（BHI）之一校准的故障排名为中间人信心，最后，用良好测试结果验证的故障，解释表明存在边界作为故障并且与地震和/或BHI解释一致，被排名为最高的置信度，因为故障被静态和动态验证。

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