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Mathematical modeling and optimization of gas-condensate field development

机译:凝析气田开发的数学建模与优化

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Based on the mathematical model for diphasic multicomponent filtration of mixed hydrocarbons, a boundary problem has been composed and solved for optimizing flowrate distribution among wells to maximize the condensate recovery from natural gas-condensate fields (GCFs). In contrast to the described in science literature prototypes, the boundary problem takes into account the phase transformation for individual components of a hydrocarbon mixture. An algorithm for efficient development of natural GCFs has been elaborated, in which the flowrate limitations of individual wells as well as their shutoffs for remedial maintenance are considered. The suggested model was validated on the experimental data from the Kotelevskoye GCF (Ukraine). Over 12% increase in condensate recovery was demonstrated to be possible, if the best performance had been achieved. This can be arranged by reducing intrastratal flows and preventing the consequent extra formation of condensate (in the depletion mode) or premature "dry gas" breakthrough in producing wells (in the cycling mode). (C) 2015 Elsevier B.V. All rights reserved.
机译:基于混合烃两相多组分过滤的数学模型,为优化井间流量分布以最大程度地从天然气凝析气田(GCF)回收凝析油,提出并解决了边界问题。与科学文献原型中所述相反,边界问题考虑了碳氢化合物混合物各个成分的相变。精心设计了一种有效开发天然GCF的算法,其中考虑了单个井的流量限制及其用于补救维护的关口。建议的模型已根据来自Kotelevskoye GCF(乌克兰)的实验数据进行了验证。如果已获得最佳性能,则冷凝水回收率可提高12%以上。这可以通过减少地层内流动并防止随后的凝结水额外形成(在枯竭模式下)或在生产井中过早的“干燥气体”突破(在循环模式下)来安排。 (C)2015 Elsevier B.V.保留所有权利。

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