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An Innovative Workflow for Appropriate Selection of Subsurface-Surface Model Integration Scheme Based on Petroleum Production System Nature, User Needs,and Integrated Simulation Performance

机译:An Innovative Workflow for Appropriate Selection of Subsurface-Surface Model Integration Scheme Based on Petroleum Production System Nature, User Needs,and Integrated Simulation Performance

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The generation of portfolio of opportunities from hydrocarbon reservoirs requires,because of its nature defined by process,more reliable production scenarios based on better decisions making from the whole petroleum production system(reservoir-wells-surface facilities).Therefore,a truly production forecasting would be obtained if boundary conditions imposed by reservoir,well completion and surface network are considered through integration schemes that allow to emulate,as accurate as possible,operating condi-tions expected(flow and pressure behavior)from network–well to reservoir. This paper introduces an innovative workflow,developed for explicit simulation of subsurface-surface models,to assist assessment of IAM schemes(Integrated Asset Modeling).This assessment was based on a qualitative algorithm focused on defining the most appropriate subsurface-to-surface integrated mod-eling,considering the petroleum production system nature and users needs.In addition,a comparative analysis of performance variables from integrated simulation output(computing time,material balance error,among other)was implemented by combining both reservoir-network coupling and balancing methods available in the modeler used(AVOCET?).A test model was considered for the assessment of the proposed workflow. Results showed that better decision making is reached out for integrated petroleum production system simulation when the proposed workflow is implemented,depending on the nature of flow and pressure behavior through the system,simulation performance,and users needs(reservoir,production,or process-ing engineer).In addition,it is suggested that a comparative assessment can be considered to evaluate reservoir-network simulation performance if both convergence and stability of the integrated model and user expertise is on demand.
机译:由于其自然所定义的自然,基于从整个石油生产系统(水库 - 井表面设施)的更好的决定,因此,碳氢化合物储存器的机会组合所需的产生。因此,这是一个真正的生产预测如果通过储存器,井完成和表面网络施加的边界条件,通过允许模拟的储存井完成和表面网络尽可能准确,从网络阱到储层的操作条件预期(流量和压力行为)。本文介绍了一个创新的工作流程,开发用于显式模拟地下表面模型,协助评估IAM方案(集成资产建模)。这项评估是基于定性算法,专注于定义最合适的地下到表面集成Mod -eling,考虑到石油生产系统性质和用户的需求。另外,通过组合储层网络耦合和平衡方法,实现了从集成仿真输出(计算时间,材料平衡误差等)的性能变量的比较分析在使用的建模者中(Avocet?)。考虑了测试模型,用于评估所提出的工作流程。结果表明,当通过系统,仿真性能和用户需求(储层,生产或加工 - 储存或加工)实施拟议的工作流程时,达到了综合石油生产系统仿真的综合石油生产系统仿真的更好的决策。工程师)。在此外,有人建议可以考虑比较评估,如果综合模型和用户专业知识的融合和稳定性都按需,则可以考虑评估储层网络仿真性能。

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