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Hierarchical Coarsening of Simulation Model for In-Situ Upgrading Process

机译:原位升级过程模拟模型的分层粗化

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Oil shales are sedimentary rocks containing organic matter in form of kerogen which account for more than 5 trillion barrels of oil in place according to Birol (2010); therefore, oil shale production represents a plausible solution for the constant increasing demand for hydrocarbons. In this work, first we describe the model for chemical decomposition of kerogen. The prototype of the model is implemented in ADGPRS. The model is based on the most recent understanding of pyrolysis process and contains very precise descriptions of coupling chemical kinetics to heat and mass transport. Due to the high number of species, variations of porosity as consequence of the transformation of solid species into fluid products and complex multi-scale structure of porous media, the simulation performance of the high-fidelity model is limited. As the second step of this work, we introduce a hierarchy of coarser models to improve the run-time of forward solution without significant reduction in accuracy. We applied coarsening in time, space, and chemical representation, and quantify errors introduced at each coarsening level. In conclusion, we provided recommendations for large scale modeling of in-situ upgrading process.
机译:石油Shales是根据BIROL(2010)的含有Kerogen形式的有机物的沉积岩石,根据BIROL(2010);因此,石油页岩生产代表了持续增加对烃的不稳定解决方案。在这项工作中,首先我们描述了基因的化学分解模型。该模型的原型是在ADGPRS中实现的。该模型基于对热解过程的最新理解,并含有非常精确的耦合化学动力学来热量和质量传输的描述。由于物种数量大,孔隙率变化,因此固体物质转化为流体产品和多孔介质的复杂多尺度结构,高保真模型的仿真性能受到限制。作为这项工作的第二步,我们引入了较粗糙型模型的层次,以改善前向解决方案的运行时间,而无需显着降低。我们在时间,空间和化学表现中施加粗化,并在每个粗化水平上量化引入的误差。总之,我们为原位升级过程提供了大规模建模的建议。

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