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Improving the Total Organic Carbon Estimation of the Eagle Ford Shale with Density Logs by Considering the Effect of Pyrite

机译:通过考虑硫铁矿的效果,提高鹰福特页岩的总机碳估计

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摘要

Pyrite is a common mineral with a higher density than most other minerals in the Eagle Ford Shale formation. Hence, if pyrite is not considered in the total organic carbon (TOC) estimation, based on density logs, it may lead to errors. In order to improve the accuracy of the TOC estimation, we propose an updated TOC estimation method that incorporates the concentration of pyrite and organic porosity. More than 15 m of Eagle Ford Shale samples were analyzed using Rock-Eval pyrolysis, X-ray fluorescence (XRF), and X-ray diffraction (XRD). TOC, elemental concentration, and mineralogical data were analyzed for a better understanding of the relationship between the concentration of TOC and pyrite content in the Eagle Ford formation. An updated petrophysical model—including parameters such as organic pores, solid organic matter, inorganic pores, pyrite, and inorganic rock matrix without pyrite—was built using the sample data from the Eagle Ford. The model was compared with Schmoker’s model and validated with the Eagle Ford field data. The results showed that the updated model had a lower root mean square error (RMSE) than Schmoker’s model. Therefore, it could be used in the future estimation of TOC in pyrite-rich formations.
机译:黄铁矿是一种常见的矿物,密度高于大多数鹰福特页岩形成的矿物质。因此,如果在总有机碳(TOC)估计中不考虑硫铁矿,则基于密度对数,它可能导致错误。为了提高TOC估计的准确性,我们提出了一种更新的TOC估计方法,其含有硫铁矿和有机孔隙率的浓度。使用岩羟戊醇热解,X射线荧光(XRF)和X射线衍射(XRD)分析超过15米的Eagle Ford页岩样品。分析TOC,元素浓度和矿物学数据,以更好地了解Eagle Ford形成中TOC和硫铁矿含量浓度与矿物质含量之间的关系。使用来自Eagle Ford的样品数据建造了一种更新的岩石物理模型 - 包括有机孔,固体有机物质,无机孔,硫铁矿和无机岩体基质的参数。该模型与Schmoker的模型进行了比较,并用Eagle Ford现场数据进行了验证。结果表明,更新的模型具有比Schmoker模型的较低的根均方误差(RMSE)。因此,它可以在富含硫铁矿的地层的未来估计中。

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