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Quantification and characterization of hydrocarbon-filled porosity in oil-rich shales using integrated thermal extraction, pyrolysis, and solvent extraction

机译:用集成热萃取,热解和溶剂萃取量化富含石油富含烃孔隙率的烃孔隙率的定量与表征

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摘要

For oil-rich shales, current solvent extraction- and thermal extraction-based methods inaccurately measure hydrocarbon-filled porosity (phi(HC)). Moreover, the hydrocarbon composition is not characterized by either method. Here, we show how open-system programmed thermal extraction and pyrolysis, LECO total organic carbon, Archimedes bulk density, and helium pycnometry measurements are integrated to calculate oil and gas pore volumes, characterize their composition, and estimate mobility. Use of a modified multiramp, slow-heating thermal extract, and pyrolysis temperature program further subdivides the phi(HC). Saturate-aromatic-resin-asphaltene (SARA) separation and gas chromatography of solvent-extracted organic matter and thermally extracted oils are used to compositionally classify the phi(HC). The segregated bulk compositions of gas- and oil-filled porosity measured via this method are shown to overlap and are broken into the following categories: gas-filled porosity (similar to C-1-C-14), light oil-filled porosity (similar to C-6-C-36), and heavy oil-filled porosity (similar to C-32-C-36+). Furthermore, slow-heating multiramp thermal extraction can subdivide the light oil-filled porosity into four components capturing the C-11-C-13, C-12-C-16, C-14-C-20, and C-17-C-36 ranges of the extractable organic matter. Analysis of solvent-extracted oils by SARA identifies abundant saturates and aromatics in the light oil-filled porosity and abundant resins and asphaltenes in the heavy oil-filled porosity. Low-maturity shales can be dominated by heavy (C-32+) oils rich in asphaltene and resin fractions not observed in the produced fluid. The ratios of SARA components in the C-15+ fraction of produced fluid and core extract can be used to better estimate the potentially mobile phi(HC).
机译:对于富含石油的Hales,目前溶剂萃取和基于热提取的方法可致密地测量碳氢化合物填充孔隙率(PHI(HC))。此外,烃组合物的特征在于任一方法。在这里,我们展示了开发系统编程的热萃取和热解,LECO总有机碳,前型堆积密度和氦粘性型测量,以计算油气孔隙体积,表征其组成和估计流动性。使用改性的多局,缓慢加热热提取物和热解温度方案进一步细分PHI(HC)。溶剂萃取的有机物质和热萃取油的饱和芳族树脂 - 沥青质(SARA)分离和气相色谱分离和热萃取油的分离和热萃取油化成组成PHI(HC)。通过该方法测量的气体和油填充孔隙率的隔离块状组合物被显示为重叠并被破坏到以下几类:气体孔隙率(类似于C-1-C-14),轻质油填充孔隙率(类似于C-6-C-36)和重油填充孔隙率(类似于C-32-C-36 +)。此外,缓慢加热多局热萃取可以将轻质油填充的孔隙率细分为捕获C-11-C-13,C-12-C-16,C-14-C-20和C-17-的四种组分C-36可提取有机物的范围。 SARA分析溶剂提取的油状物在轻质油填充孔隙率和丰富的树脂中鉴定了丰富的饱和度和芳族化合物,并在重油填充孔隙率中的含量。低成熟的Shales可以由富含沥青质的重(C-32 +)油和未在生产的流体中观察到的树脂级分来支配。在生产的流体和核心提取物的C-15 +分数中的SARA组分的比率可用于更好地估计可能移动的PHI(HC)。

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