阿曼北部Khuff油藏综合静态储层建模。第九届中东地球科学会议,2010。

von Winterfeld, P. Bizarro, B. Laksana, I. Aghbari, M. Claps, Z. Kindi, H. V. Alebeek
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引用次数: 0

摘要

阿拉伯半岛的Khuff组由晚二叠世-早三叠世的混合碳酸盐/蒸发层序组成,沉积在与阿拉伯地盾相连的广泛的表斜坡上。上胡夫油气储层具有岩性和储层质量的非均质性,这是沉积史和成岩覆印共同作用的结果。在天然气发现和初步生产的基础上,阿曼石油开发公司(PDO)最近通过整合新数据,如重新处理的地震量、评价井结果、岩心和流体数据,更新了Upper Khuff的地质模型。根据岩心相分析、测井解释和露头相似物进行沉积/地层模拟。这可以详细描述碳酸盐岩斜坡的垂直演化和横向变化,从开放的海洋陆架到鲕状/骨架浅滩和泥蒸潮滩。结合地下数据和北阿曼露头类似物,为储层建立了高分辨率层序地层格架,从而将整个上Khuff划分为三级层序,并根据沉积旋回对流动单元进行表征。所得的分层方案已被证明在野外尺度上是相关的。结合沉积学、成岩和岩石物理资料,定义了储层岩石类型,以描述储层基质的行为。这些数据是通过将岩性和沉积相结合到一个单一的分类方案中获得的,从而可以识别具有相似储层质量的岩石体积。设计合适的Petrel网格不仅可以充分详细地捕捉储层非均质性,还可以防止运行时间过长。为了捕捉储层的非均质性,通过对相和岩石类型的调节,以三维方式填充岩石物性。结合地震断层模式、曲率分析和井解释,生成裂缝模型,并在动态模拟中实现。通过定义储层的不确定性范围,并应用实验设计过程来评估其对储罐初始油(STOIIP)和初始气(GIIP)的影响,从而处理储层的不确定性。使用这些参数的组合生成了几个静态实现。通过动态油藏模拟的迭代实现了地下场景的最终选择,以捕获全范围的储量不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated static reservoir modeling of a Khuff reservoir, North Oman. 9th Middle East Geosciences Conference, GEO 2010.
The Khuff Formation of the Arabian Peninsula comprises mixed carbonate/evaporitic sequences of Late Permian - Early Triassic age deposited on a widespread epeiric ramp attached to the Arabian Shield. The Upper Khuff oil and gas reservoir is characterized by lithological and reservoir quality heterogeneities as a result of both depositional history and diagenetic overprint. Further to its gas discovery and initial production, Petroleum Development Oman (PDO) has recently updated the Upper Khuff geomodel by integrating new data, such as reprocessed seismic volumes, appraisal well results, and core and fluid data. Depositional/stratigraphic modeling was carried out based on facies analysis of cores, log interpretation and outcrop analogues. This allowed a detailed description of the vertical evolution and lateral variations of the carbonate ramp, from open-marine shelf, to oolitic/skeletal shoals and mud-evaporitic tidal flats. A high-resolution sequence-stratigraphic framework was built for the reservoir zones combining subsurface data and North Oman outcrop analogues, enabling subdivision of the entire Upper Khuff into third-order sequences and characterization of the flow units in terms of depositional cycles. The resulting layering scheme has proved to be correlatable at field scale. Reservoir rock types were defined to describe the reservoir matrix behaviour combining sedimentological, diagenetic and petrophysical data. These were obtained by combining lithologies and depositional facies into one single classification scheme, thus allowing identification of rock volumes with similar reservoir quality. An appropriate Petrel grid was designed not only to capture the reservoir heterogeneity with sufficient detail, but also to prevent runtime excess. Petrophysical properties were populated in 3-D by conditioning to facies and rock types in order to capture the reservoir heterogeneities. By combining seismic fault pattern, curvature analysis and well interpretations, fracture models were generated and implemented in the dynamic simulation. The reservoir uncertainties were handled by defining their ranges and applying an experimental design process to evaluate their impact on stock tank oil initially in-place (STOIIP) and gas initially in-place (GIIP). Several static realizations were generated using combinations of these parameters. The final selection of subsurface scenarios was achieved by iteration with the dynamic reservoir simulation to capture the full range of reserves uncertainty.
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