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Modeling Asphaltene Phase Behavior: Comparison of Methods for Flow Assurance Studies

机译:模拟沥青质相行为:流动保证研究方法的比较

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Asphaltenes are the heaviest and most highly polarizable and polydisperse petroleum fractions in crude oils. The solubility of the asphaltenes in crude oils is usually affected by the reduction of pressure, temperature, and/or oil composition change as a result of commingling with other crude oils or gas injection. This may lead to asphaltene precipitation and deposition, decline in permeability, blockage of well and surface facilities, and finally, production decrease or termination, which has a substantial economical impact. Therefore, the ability to understand and predict asphaltene phase behavior is essential for both up- and downstream processing, so that appropriate strategies can be implemented for prevention and remediation. In our study, we present the capability and advances of the equations of state approach by applying the cubic-plus-association (CPA) and the perturbed-chain statistical associating fluid theory (PC-SAFT) equation to model asphaltene stability in live oils and compare the predictions to the various types of measured asphaltene precipitation data over wide ranges of temperature and pressure.
机译:沥青质是原油中最重和最高的极热性和多分散的石油级分。沥青质在原油中的溶解度通常受到压力,温度和/或油组合物的降低的影响,由于与其他原油或气体注入混合。这可能导致沥青质沉淀和沉积,渗透性下降,井和表面设施的阻塞,最后,生产减少或终止,具有显着的经济影响。因此,理解和预测沥青质相行为的能力对于上游和下游加工是必不可少的,因此可以实现适当的策略以预防和修复。在我们的研究中,我们通过将立方和关联(CPA)和扰动链统计关联流体理论(PC-Saft)方程应用于Live油中的沥青质稳定性来提出状态方法方程的能力和进展。将预测与宽温度和压力范围内的各种类型的测量沥青质沉淀数据进行比较。

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