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首页> 外文期刊>Journal of Petroleum Science & Engineering >Simulation of asphaltene precipitation during gas injection using PC-SAFT EOS
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Simulation of asphaltene precipitation during gas injection using PC-SAFT EOS

机译:使用PC-Saft EOS燃气喷射过程中沥青质沉淀的模拟

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AbstractOilfield problems owing to asphaltene precipitation are well known. Asphaltenes can block pore throats or change the formation wettability and thereby reduce the hydrocarbon mobility. Simulation of asphaltene precipitation during gas injection requires a comprehensive thermodynamic model, which accounts for the complex phase behavior of asphaltenes. In this paper, PC-SAFT EOS is implemented for the first time in a compositional reservoir simulator to model asphaltene precipitation. The additional computational time of PC-SAFT compared to the cubic equations-of-state such as Pen-Robinson (PR EOS) is decreased by improving its root finding algorithm. A deposition and wettability alteration model is then integrated with the thermodynamic model to simulate the dynamics of precipitated asphaltenes. Different gas injection scenarios are modeled to show the effect of gas injection on apshaltene precipitation and deposition.Simulation results show that the profile of the damaged area by asphaltene deposition is governed by the shape of the asphaltene precipitation envelope for the reservoir fluid. The damage caused by asphaltene deposition, through plugging and wettability alteration, was revealed as a decline in productivity index curves. Results indicate that a reservoir fluid can have precipitation risk during gas injection even if it does not exhibit precipitation in the primary recovery life of a field. The computational time of the simulations using PC-SAFT EOS were compared to those using PR EOS for different number of components. Results of these comparisons show the feasibility of using PC-SAFT in compositional simulations.Highlights?The PC-SAFT EOS was implemented in a compositional reservoir simulator to model asphaltene precipitation. The additional computational time of PC-SAFT was decreased by improving the root finding algorithm and calculating the derivatives of the model analytically.?A deposition and wettability alteration model was integrated with the thermodynamic model to simulate the dynamics of precipitated asphaltenes.?The reservoir fluids can be categorized into two classes: (I) oils with inherent potential of asphaltene precipitation, and (II) oils without initial asphaltene precipitation risk. For type-I fluids, a persistent window between the upper onset and lower onset pressures exists regardless of the temperature. For type-II fluids, the upper and lower onset pressures coincide over a certain temperature range.?Introduction of a gas to the fluid type (II) can create a precipitation window leading to asphaltene deposition. Pore throat plugging around the production well is more severe in fluid type-I because of the contribution of pressure depletion to asphaltene deposition before gas breakthrough.?
机译:<![CDATA [ 抽象 由于沥青质沉淀而闻名于于沥青质沉淀的油田问题。沥青质可以阻断孔喉或改变形成润湿性,从而降低烃迁移率。气体喷射过程中沥青质沉淀的模拟需要综合热力学模型,其占沥青质的复杂相行为。在本文中,PC-SAFT EOS首次在组成储层模拟器中实施以模拟沥青质沉淀。通过改进其根发现算法,降低了与诸如笔 - 罗宾逊(Pr EOS)的立方方程相比的PC-Saft的附加计算时间。然后将沉积和润湿性改变模型与热力学模型集成,以模拟沉淀的沥青质的动态。模拟不同的气体注射方案以显示气体注射对Apshaltene降水和沉积的影响。 仿真结果表明配置文件通过沥青质沉积的受损区域由储层流体的沥青质沉淀包络的形状控制。通过堵塞和润湿性改变,沥青质沉积引起的损害被揭示为生产率指数曲线的下降。结果表明,即使在田间的主要恢复寿命中没有表现出沉淀,储层液也可以在气体注射过程中具有沉淀风险。将使用PC-SAFT EOS进行模拟的计算时间与使用PR EOS进行不同数量的组件的计算时间。这些比较结果显示使用PC-SAFT在组成模拟中的可行性。 亮点 PC-SAFT EOS在组成储层模拟器中实施以模拟沥青质沉淀。通过改进根发现算法并计算模型分析计算的衍生物来降低PC-SAFT的额外计算时间。 沉积和润湿性改变模型与热力学模型集成,以模拟沉淀的沥青质的动态。 储层流体可以分为两类:(i)油具有沥青质沉淀的固有潜力的油,(ii)油没有初始沥青质沉淀风险。对于I型流体,无论温度如何,都存在上起起起和较低发作压力之间的持续窗口。对于II型流体,上部和下起起压力在一定温度范围内重合。 将气体引入流体类型(ii)可以产生导致沥青质沉积的沉淀窗口。孔喉围绕生产井堵塞在流体类型中更严重 - 我由于气体突破前的压力消耗对沥青质沉积的贡献。

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