首页> 外文学位 >Determining the Efficacy of Magnetic Susceptibility as an Analytical Tool in the Middle Devonian Gas Bearing Shale of Taylor County, West Virginia.
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Determining the Efficacy of Magnetic Susceptibility as an Analytical Tool in the Middle Devonian Gas Bearing Shale of Taylor County, West Virginia.

机译:在西弗吉尼亚州泰勒县中泥盆系含气页岩中确定磁化率作为分析工具的功效。

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摘要

The magnetic susceptibility of two Middle Devonian shale units, the Mahantango Formation and Marcellus Shale, was recorded in order to determine if magnetic susceptibility could be used to predict (1) transgressive and regressive cycles, (2) brittleness, and (3) total organic content (TOC). A core from Taylor County, West Virginia was selected for this purpose.;Transgressive and regressive cycles were detected through variations of magnetic susceptibility values with maximum flooding surfaces indicated by troughs in the data and maximum regressive surfaces indicated by peaks. A sequence stratigraphic framework based upon variations in gamma ray and density measurements was used to establish a standard to gauge the accuracy of predictions made through magnetic susceptibility. It was found that the accuracy of the magnetic susceptibility method was similar to the gamma-density method in detecting a large 2nd order cycle, when both shale units were evaluated together. When the units were evaluated separately, it was found that both methods detected the same 3rd order cycles. However, within the Mahantango Formation the magnetic susceptibility method was more accurate recording 4th order cycles that the gamma-density method did not. Conversely, within the Marcellus Shale, the gamma-density method was more accurate recording 4th order cycles that the magnetic susceptibility method did not. It was concluded that the increased accuracy of the gamma-density method in the Marcellus shale was due to an increased sensitivity in the gamma ray and density logs as a response to the large amounts of TOC in the formation This increased sensitivity allowed for smaller variations to be more easily detected. The Mahantango Formation does not have large quantities of TOC. This diminished the sensitivity of the gamma and density logs allowing for the magnetic susceptibility method to be more accurate.;It was assumed that variations in brittleness are driven by transgressive and regressive cycles with ductile regions coinciding with maximum flooding surfaces and brittle regions coinciding with maximum regressive surfaces. Since magnetic susceptibility is also linked to transgressive and regressive cycles, it was expected that the sequence stratigraphy established previously could be linked to brittle and ductile couplets. The sequence stratigraphy established with the gamma-density method was also tested. Two methods of calculating a brittleness index were used to establish a baseline to test against. The first was based upon mineralogy and the second was based upon elastic properties. The brittleness index based upon mineralogy compared well to 3rd order transgressive and regressive cycle detected by both methods. Magnetic susceptibility failed to detect 4th order cycles within the Marcellus Shale, but detected 4th order cycles in the Mahantango Formation that mineralogy and elastic properties missed. The brittleness index based upon mineralogy aligns better with the sequence stratigraphy produced by the magnetic susceptibility method than with the gamma-density method. The brittleness index produced by elastic properties did not correlate with either method. Further, the brittleness index produced with elastic properties did not even correlate with the brittleness index produced by mineralogy. This disagreement cast doubt upon the effectiveness of both brittleness indices.;The relationship between magnetic susceptibility and TOC was tested along with the three most common wireline techniques in order to determine which, if any, were superior. All were judged in comparison to TOC derived from the core using Rock-Eval pyrolysis. The methods tested were: Schmoker's 1983 density equation, Schmoker's 1993 density equation, and the DeltalogR method. It was found that both the magnetic susceptibility of the whole rock and the magnetic susceptibility of its isolated kerogen component correlated better with core TOC values than any of the methods tested. The accuracy of the magnetic susceptibility of the whole rock was within the same order of magnitude as the other methods, and the accuracy of the magnetic susceptibility of the isolated kerogen component was an order of magnitude higher. In addition, evidence was found that links the magnetic susceptibility of kerogen within the two units to the composition of the kerogen. Vitrinite reflectance data confirms that variations in the magnetic susceptibility of the kerogen was not caused by variations in maturity. A very strong logarithmic relationship was found between the magnetic susceptibility of kerogen and the weight percent present. Using the hypothesis that variations in the amount of organic material present is linked to episodic algal blooms, it was concluded that the organic material supplied by these blooms significantly lowered the magnetic susceptibility of the organic sediment supplied during the normal habitat of the basin.
机译:为了确定磁化率是否可用于预测(1)侵入和回归循环,(2)脆性和(3)总有机质,记录了中泥盆纪两个页岩单元Mahantango组和Marcellus页岩的磁化率。内容(TOC)。为此目的,选择了来自西弗吉尼亚州泰勒县的岩心。通过磁化率值的变化检测了海侵和海退循环,其中最大洪泛面由波谷表示,最大海平面由峰值表示。基于伽马射线和密度测量值变化的层序地层学框架被用来建立一个标准,以测量通过磁化率做出的预测的准确性。当两个页岩单元一起评估时,发现磁化率方法的准确性与伽马密度法相似,可以检测到较大的二阶循环。当分别评估单位时,发现两种方法都检测到相同的三阶循环。但是,在Mahantango地层中,磁化率方法比γ密度法更能准确地记录4级循环。相反,在马塞勒斯页岩中,伽玛密度法比磁化率法更准确地记录4阶循环。结论是,马塞勒斯页岩中伽马密度法的准确性提高是由于对地层中大量TOC的响应,伽马射线和密度测井的灵敏度提高了。更容易被发现。 Mahantango组没有大量的TOC。这就降低了伽马和密度测井的灵敏度,从而使磁化率方法更加精确。假定脆性变化是由海侵和回归循环驱动的,其中延性区域与最大淹没面一致,而脆性区域与最大淹没面一致。回归表面。由于磁化率也与海侵和海退循环有关,因此可以预期以前建立的层序地层学可能与脆性和韧性duct联有关。还测试了用伽马密度法建立的层序地层学。使用两种计算脆性指数的方法来建立要测试的基准。第一个基于矿物学,第二个基于弹性。基于矿物学的脆性指数与通过这两种方法检测到的三级海侵循环和回归循环进行了比较。磁化率未能检测到Marcellus页岩内的4阶旋回,但检测到Mahantango地层中的4阶旋回,矿物学和弹性特性均缺失。与磁密度法相比,基于矿物学的脆性指数与磁化率法产生的层序地层更加吻合。由弹性特性产生的脆性指数与这两种方法都不相关。此外,具有弹性的脆性指数甚至与矿物学所产生的脆性指数不相关。这种分歧使人们对两种脆性指数的有效性都产生了怀疑。磁化率与TOC的关系与三种最常用的电缆技术一起进行了测试,以确定哪一种更好。与使用Rock-Eval热解法从岩心得到的TOC相比,所有样品均经过了判断。测试的方法是:Schmoker的1983密度方程,Schmoker的1993密度方程和DeltalogR方法。发现整个岩石的磁化率及其分离的干酪根成分的磁化率与堆芯TOC值的关系比任何一种测试方法都更好。整个岩石的磁化率精度与其他方法处于同一数量级,而分离出的干酪根成分的磁化率精度则高一个数量级。此外,发现证据表明,两个单元内的干酪根的磁化率与干酪根的成分有关。玻璃陶瓷反射率数据证实,干酪根的磁化率变化不是由成熟度变化引起的。发现干酪根的磁化率与存在的重量百分比之间存在很强的对数关系。使用有机物数量变化与情景藻华有关的假说,得出的结论是,由这些水华提供的有机材料显着降低了盆地正常生境期间提供的有机沉积物的磁化率。

著录项

  • 作者

    Baird, John.;

  • 作者单位

    West Virginia University.;

  • 授予单位 West Virginia University.;
  • 学科 Geology.;Energy.;Petroleum geology.
  • 学位 M.S.
  • 年度 2015
  • 页码 56 p.
  • 总页数 56
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:52:41

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