首页> 外文会议>SPWLA Annual Logging Symposium;Society of Petrophysicists and Well Log Analysts, inc >USING MICRO-RESISTIVITY IMAGING AND ELEMENTAL ANALYSIS DATA TO IDENTIFY THIN ORGANIC-RICH BEDS IN THE WILLISTON BASIN, NORTH DAKOTA
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USING MICRO-RESISTIVITY IMAGING AND ELEMENTAL ANALYSIS DATA TO IDENTIFY THIN ORGANIC-RICH BEDS IN THE WILLISTON BASIN, NORTH DAKOTA

机译:利用微电阻率成像和元素分析数据识别北达科他州威利斯顿盆地的富含有机物的薄床

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Ordovician G. prisca kukersites provide a potentialsource for the Red River oil in the Williston basinof North Dakota; consequently, the identificationof these intervals can be critical when planningcompletions. Although kukersites are veryorganic-rich [total organic content (TOC) up to59% in the literature], identification of these bedsusing standard openhole logs is hindered becausethe kukersites generally occur only as thin laminaeor beds of less than 1-ft thickness. This is wellbelow the vertical resolution of most openholetools. With a vertical resolution of approximately0.10 in., microresistivity imaging tools can detectthin organic-rich beds; however resistivity alonecannot be used to accurately distinguish betweenan organic-rich bed and other resistive beds suchas anhydrite.Published literature suggests algal bloomsassociated with kukersite deposition would haveslowed or stopped carbonate sedimentation;consequently, the first step in the identification ofkukersites is to use microresistivity image data toidentify thin beds or laminae with high resistivityin dolomitic intervals. After these initialcandidates are identified, triple combination data isexamined to rule out lithologies with similarresistivities but strong identifying signals, such asanhydrite, to reduce the number of potentialkukersite candidates to approximately 20 beds. Anelemental analysis tool was used to furtherinvestigate the likelihood the beds identified werekukersite. An Estonian study showed kukersites tocontain approximately 1.5% total sulfur.Therefore, sulfur was used when solving forkerogen with the elemental analysis within the RedRiver Formation. When solving in this manner, thekerogen signals in the elemental analysis werefound to correspond closely with many of thepossible kukersites identified in the image data.Kukersite-rich intervals are likely to be foundwhere the potentially organic-rich thin bedsidentified in both tools overlap. Sidewall corescollected in these intervals appear to have thesame visual characteristics as kukersites describedin published literature; however, the full analysisof these cores have not yet been completed.This case study demonstrates how solutions todifficult problems can be provided by using aninterdisciplinary approach that incorporates allavailable data as well as a fundamental knowledgeof the geologic environment in which the problemexists.
机译:奥陶纪G. prisca kukersites提供了潜力 威利斯顿盆地红河石油的来源 北达科他州因此,识别 这些间隔在计划时可能很关键 完成。虽然酷客们非常 富含有机物[总有机物含量(TOC)最高 文献中有59%],这些床的识别 使用标准裸眼测井记录受到阻碍,因为 kukersites通常仅以薄层状存在 或小于1英尺厚的床。这样很好 低于大多数裸眼的垂直分辨率 工具。垂直分辨率约为 0.10英寸微电阻率成像工具可以检测 富含有机物的薄床;但是仅电阻率 无法用来准确区分 富含有机物的床和其他电阻床,例如 作为硬石膏。 已发表的文献表明藻华 与kukersite沉积有关的物质将具有 碳酸盐沉淀减慢或停止; 因此,确定 kukersites将使用微电阻率图像数据来 识别具有高电阻率的薄层或薄层 在白云时间间隔中。这些初始之后 确定候选人,三重组合数据是 检查以排除具有相似特征的岩性 电阻率,但有较强的识别信号,例如 硬石膏,以减少潜在的数量 kukersite候选人大约有20张床。一个 元素分析工具用于进一步 调查查明床位的可能性 kukersite。爱沙尼亚的一项研究显示, 含有约1.5%的总硫。 因此,在解决 干酪根与红色内的元素分析 河流形成。当以这种方式求解时, 元素分析中的干酪根信号为 发现与许多 在图像数据中识别出的可能的kukersites。 可能会找到Kukersite丰富的时间间隔 那里可能富含有机物的薄床 在两个工具中确定重叠。侧壁芯 在这些间隔中收集的数据似乎具有 与kukersites所描述的视觉特征相同 在出版的文学作品中;但是,全面分析 这些核心尚未完成。 本案例研究展示了如何解决 困难的问题可以通过使用 综合所有学科的跨学科方法 现有数据以及基本知识 问题所在的地质环境 存在。

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