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TOC Determination in Source Rocks Using GR Spectrometry and Neuro-Fuzzy Techniques in a Zagros Basin Oilfield

机译:扎格罗斯盆地油田中使用GR光谱和神经模糊技术确定烃源岩中的TOC

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Due to the high content of gamma ray in hydrocarbon source rocks, it may be delected by gamma ray or computed gamma ray peaks. In this article, the total organic carbon content of (TOC) of Pabdeh and Gurpi formations was calculated using a ΔlogR technique with three methods including cross-plots of resistivity-sonic, resistivity-density, and resistivity-neutron. This approach was applied for Pabdeh and Gurpi formations in wells A and B in an oil field in Zagros basin of Iran. The results were calibrated with core-derived data. The amount of TOC was compared with spectrometry of uranium, thorium, and potassium. All data were predicted by a neuro-fuzzy technique in these wells.
机译:由于烃源岩中伽马射线的含量很高,因此可能会被伽马射线或计算出的伽马射线峰所吸引。在本文中,使用ΔlogR技术,通过三种方法包括电阻率-声波,电阻率-密度和电阻率-中子的交叉图,计算了Pabdeh和Gurpi地层的总有机碳含量(TOC)。该方法适用于伊朗Zagros盆地油田A和B井中的Pabdeh和Gurpi地层。使用核心衍生数据对结果进行校准。将TOC的量与铀,th和钾的光谱法进行了比较。这些数据通过神经模糊技术预测了所有数据。

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