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Composition Changes of Hydrocarbons during Secondary Petroleum Migration (Case Study in Cooper Basin, Australia)

机译：二次石油迁移过程中碳氢化合物的组成变化（以澳大利亚库珀盆地为例）

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The reliable mathematical modelling of secondary petroleum migration that incorporates structural geology and mature source rocks in the basin model, allows for prediction of the reservoir location, yielding the significant enhancement of the probability of exploration success. We investigate secondary petroleum migration with a significant composition difference between the source and oil pools. In our case study, the secondary migration period is significantly shorter than the time of the hydrocarbon pulse generation. Therefore, neither adsorption nor dispersion of components can explain the concentration difference between the source rock and the reservoir. For the first time, the present paper proposes deep bed filtration of hydrocarbons with component kinetics retention by the rock as a physics mechanism explaining compositional grading. Introduction of the component capture rate into mass balance transport equation facilitates matching the concentration difference for heavy hydrocarbons, and the tuned filtration coefficients vary in their common range. The obtained values of filtration coefficients monotonically increase with molecular weight and consequently affects the size of the oleic component, as predicted by the analytical model of deep bed filtration. The modelling shows a negligible effect of component dispersion on the compositional grading.
机译：在盆地模型中结合了结构地质和成熟烃源岩的可靠的二次石油运移数学模型可以预测储层位置，从而大大提高勘探成功率。我们调查了次生石油的运移，其在来源和油藏之间存在明显的成分差异。在我们的案例研究中，二次迁移期明显短于烃类脉冲产生的时间。因此，组分的吸附和分散都不能解释源岩和储层之间的浓度差异。本论文首次提出对岩石进行深床过滤，保留岩石的组分动力学特性，作为解释成分分级的物理机理。将组分捕获率引入质量平衡传输方程式有助于匹配重质烃的浓度差，并且调整后的过滤系数在其共同范围内变化。如通过深床过滤的分析模型所预测的，获得的过滤系数值随分子量单调增加，并因此影响油性组分的尺寸。该模型显示组分分散对组成分级的影响可忽略不计。

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