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Improving fractured carbonate-reservoir characterization with remote sensing of beds, fractures, and vugs

机译:通过遥感床,裂缝和孔洞来改善裂缝性碳酸盐岩储层的表征

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摘要

Many key aquifers and oil reservoirs are in carbonate rocks. Understanding the flow behavior within this commonly complex pore space requires new perspectives and technology in order to improve carbonate aquifer and reservoir characterization. Dissolution of carbonates is related to flow; hence, quantifying the size of dissolution vugs on carbonate outcrops can help characterize controls on flow, namely matrix permeability and fracture connectivity. LIDAR (light detection and ranging) scans, combined with high-resolution photography, enable us to both measure vugs' areas and assess spatial relationships between vugs, beds, and fractures. We developed a method of obtaining and interpreting necessary vug, bed, and fracture data on the basis of these technologies. Application of this method on a Cretaceous Edwards Group outcrop in Texas (United States) revealed a significant correlation between the relative vug area of beds obtained remotely and air permeability measured in plugs extracted from these beds (R2 = 0.94, P = 0.001). The total area of vugs intersected by fractures was used to establish a probability density function of fracture lengths that can improve flow modeling of the reservoir. These findings show the potential of using LIDAR and photo images in reservoir characterization by data analysis of geological features, in addition to their use for accurate mapping.
机译:许多关键的含水层和储油层都在碳酸盐岩中。 要了解在这种通常复杂的 孔隙空间中的流动行为,需要新的观点和技术才能使 碳酸盐的溶解与流量有关;因此,量化 碳酸盐岩露头上溶洞的大小可以帮助 表征流量控制,即基质渗透率和 裂缝连通性。 LIDAR(光检测和测距)扫描, 与高分辨率摄影相结合,使我们能够 测量暗室的面积并评估 之间的空间关系洞,床和骨折。我们开发了一种获取 并根据这些技术的 解释必要的孔洞,床和裂缝数据的方法。该方法在美国得克萨斯州的一个 白垩纪爱德华兹群露头上的应用表明, 远程获得的河床的相对孔面积有显着相关性。从这些床抽出的 测得的塞子的透气度(R 2 = 0.94,P = 0.001)。裂缝相交的vugs 的总面积用于建立裂缝长度的概率 密度函数,以改善储层的流动模型。这些发现表明,除了通过 进行准确的制图外,还可以通过数据 地质特征分析将 激光雷达和照片图像用于储层表征。

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  • 来源
    《Geosphere》 |2009年第2期|126-139|共14页
  • 作者单位

    Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, Volcani Center, Bet Dagan 50250, Israel;

    Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, 10100 Burnet Road, Austin, Texas 78758, USA;

    Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, 10100 Burnet Road, Austin, Texas 78758, USA;

    Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, 10100 Burnet Road, Austin, Texas 78758, USA;

    Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, 10100 Burnet Road, Austin, Texas 78758, USA;

    Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, 10100 Burnet Road, Austin, Texas 78758, USA;

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