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An integrated workflow for fracture characterization in chalk reservoirs, applied to the Kraka Field

机译:粉笔储层中骨折特性的综合工作流程,适用于克拉田

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Oil and gas production of tight chalk reservoirs frequently rely on the presence of natural fractures, which increases the effective permeability of the reservoirs. Fracture characterization is therefore imperative in optimizing production schemes and obtaining economically viable recovery factors. Subsurface fracture characterization is often deemed challenging as the available data is typically of varying age and quality, and represents different scales. We have developed art integrated workflow for fracture characterization in chalk to address these challenges. The workflow is based on data from borehole images, cores and seismic. These data are typically available for most chalk (and hydrocarbon) fields. The interpreted borehole image dataset contains over 17 000 manual dip picks, ensuring a statistically viable base. A total of 150 m of core is available from 3 wells. The applied 3D seismic cube covers an 8 x 5 km hydrocarbon chalk field in the Danish North Sea.
机译:紧密粉笔储层的石油和天然气生产经常依赖于天然骨折的存在,这增加了储层的有效渗透性。 因此,骨折表征在优化生产方案并获得经济上可行的恢复因素方面是必要的。 由于可用数据通常具有不同年龄和质量,并且代表不同的尺度,通常认为遭到具有挑战性的攻击性。 我们开发了粉笔骨折表征的艺术综合工作流程,以解决这些挑战。 工作流程基于来自钻孔图像,核心和地震的数据。 这些数据通常可用于大多数粉笔(和碳氢化合物)字段。 解释的钻孔图像数据集包含超过17 000个手动浸液拾取器,确保了统计上可行的基础。 3个井中提供总共150米的核心。 所应用的3D地震立方体覆盖丹麦北海的8 x 5公里的碳氢化合物粉笔场。

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