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Production Optimization Considering Interaction between Reservoirs and Constrained Surface Facilities

机译:考虑水库与约束表面设施相互作用的生产优化

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Integrated asset models (IAM) are often necessary to analyze properly the pressure interaction between reservoirs and a constrained surface facility network and to predict the behavior of several fields, which may have different fluid compositions, sharing a common surface facility. In this study, we describe a field development project improvement due to production rate management using a well known approach for coupling a commercial reservoir simulator and a simplified surface network model. The approach technique was tested using a real-based case of two offshore fields, one of gas condensate and the other one of light oil, with a gas production constraint due to the gas pipeline capacity. At present work, the two independent reservoir models were controlled simultaneously by the coupling tool and the well production rates allocated at each iteration by the management algorithm. The coupled system gives a significantly higher oil production and NPV than the standalone simulation did only by well production rate management based on GOR (gas-oil ratio). In thirty years production forecast, considering the surface gas constraint, there was a significant increase on NPV and nearly the same recovery factor. In other words, it was obtained an excellent improvement on the overall project due to revenue anticipation using the well rates from management algorithm.
机译:通常需要进行集成资产模型(IAM)来正确分析储存器和受约束的表面设施网络之间的压力相互作用,并预测几个领域的行为,其可以具有不同的流体组合物,共用共同的表面设施。在这项研究中,我们描述了由于使用熟知的方法来耦合商用储层模拟器和简化的表面网络模型,因此描述了由于生产率管理而导致的现场开发项目改进。使用基于实际壳体的实际壳体,气体冷凝物之一和轻油之一进行测试,具有由于气体管道容量的气体产生约束。目前,通过耦合工具同时控制两个独立的储层模型,并通过管理算法在每次迭代时分配的井生产率。耦合系统提供了明显更高的石油生产和NPV,而不是基于GOR(燃气比)的井生产率管理仅通过井生产率管理。在三十年的生产预测中,考虑到表面气体限制,NPV的显着增加和几乎相同的恢复因子。换句话说,由于使用来自管理算法的井速率的收入预期,它获得了整体项目的出色改进。

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