Use of Resistivity and Density Borehole Image Logs to Identify and Distribute Facies in the Pikka Unit - A Case Study from the Nanushuk Formation, North Slope, Alaska

Ricardo Perona, Dominic Armitage, James Bonelli, Nicola Capuzzo, Brady Tingey
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Abstract

Over the past decade, the North Slope of Alaska has yielded several major hydrocarbon discoveries in deltaic topsets of the Brookian Nanushuk Formation. Together the Nanushuk topsets and genetically related foreset and bottomset beds of the Torok Formation comprise part of a giant clinothem system that prograded across the Colville Foreland Basin during the lower Cretaceous (Aptian through Cenomanian). The discovered Nanushuk topset play contains stratigraphically trapped hydrocarbons within multiple fairways trending roughly north to south along the basin’s extent. The Nanushuk topset play was first discovered in the Pikka Unit by Repsol and partners during the 2013 winter drilling campaign. The Pikka Unit is located at the eastern edge of the Nanushuk-Torok clinothem system and underlies the modern-day Colville River. Here, the Nanushuk Formation comprises shelf-edge deltaic and shoreface deposits, characterized by intercalations of fine-grained litharenites and silty mudstones. The layered character of the formation is readily recognized in electric logs due to density and resistivity contrasts between those main lithologies. Following the initial Pikka discovery, 14 appraisal wells were drilled in the unit, including 2 horizontal and 2 high angle wells. An extensive and diverse borehole image dataset was acquired and includes wireline high resolution oil-based mud resistivity and logging-while-drilling azimuthal density images. In addition, more than 1000 feet of continuous core was collected in three wells (Qugruk-8, Pikka B, Pikka B ST1). Borehole images were then used to orientate the high resolution CT scan images of the cores, which afterwards were integrated with the image log analysis. This study presents a case on how the integration of core sedimentology and detailed borehole image log analysis were used to guide and predict the facies distribution across the Pikka unit.
使用电阻率和密度井眼图像测井仪识别和分布皮卡单元中的岩层--阿拉斯加北坡纳努舒克地层案例研究
在过去的十年中,阿拉斯加北坡在布鲁克系纳努舒克地层的三角洲表层发现了几处重要的碳氢化合物。纳努舒克地层表层和与之基因相关的托罗克地层前表层和底表层共同组成了一个巨大的clinothem系统,该系统在下白垩统(始新世到震旦纪)期间横跨科尔维尔前陆盆地。已发现的纳努舒克顶层油气藏包含地层中被困的碳氢化合物,这些碳氢化合物分布在沿盆地范围大致呈南北走向的多条通道中。雷普索尔公司及其合作伙伴在2013年冬季钻探活动中首次在皮卡单元发现了纳努舒克顶层油气区。皮卡单元位于纳努舒克-托罗克岩系的东部边缘,是现代科尔维尔河的底层。在这里,纳努舒克地层由陆架边缘三角洲和海岸表层沉积组成,其特点是夹杂细粒石英岩和淤泥质泥岩。由于这些主要岩性之间存在密度和电阻率对比,因此在电测井记录中很容易识别出该地层的层状特征。在首次发现 Pikka 之后,又在该单元钻了 14 口评价井,包括 2 口水平井和 2 口高角度井。获得了大量不同的井眼图像数据集,包括有线高分辨率油基泥浆电阻率和边钻井边测井方位密度图像。此外,还在三口井(Qugruk-8、Pikka B、Pikka B ST1)中采集了超过 1000 英尺的连续岩心。井眼图像随后被用于确定岩心高分辨率 CT 扫描图像的方向,然后与图像测井分析相结合。本研究介绍了如何将岩心沉积学与详细的钻孔图像测井分析相结合,以指导和预测整个 Pikka 单元的岩相分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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