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Well placement optimization for offshore oilfield based on Theil index and differential evolution algorithm

机译:基于泰尔指数和差分演化算法的海上油田油井优化

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Proper well placement should match the heterogeneity of reservoir and development schedule, in which case the displacement is balanced. A balanced displacement process can achieve a good development performance of reservoir. Present parameters to evaluate the displacement balanced degree are not fit for high water-cut oilfields and need a specific reservoir simulator. In this work, a well placement optimization method for offshore oilfield is established. A displacement balanced degree evaluation method is proposed based on Theil index. By using minimum Theil index as the objective function, well placement optimization model for offshore oilfield is built. In this model, constraints about the available infilling scope and minimum inter-well distance are considered to find the realizable optimal location. This optimization model is solved by a derivative-free optimization algorithm, differential evolution algorithm. This method is applied and validated in a semisynthetic offshore oilfield to find optimal well locations. Results demonstrate that this proposed method can find the optimal well placement for offshore oilfield to achieve a more balanced displacement and a higher oil recovery.
机译:适当的井位布置应与储层的非均质性和开发进度相匹配,在这种情况下,位移是平衡的。平衡驱油过程可以达到良好的储层开发性能。目前用于评估位移平衡度的参数不适用于高含水油田,需要特定的油藏模拟器。在这项工作中,建立了海上油田的井位优化方法。提出了一种基于泰尔指数的位移平衡度评估方法。以最小锡尔指数为目标函数,建立了海上油田井位优化模型。在该模型中,考虑了有关可用填充范围和最小井间距离的约束条件,以找到可实现的最佳位置。该优化模型由无导数优化算法,差分进化算法解决。该方法在半合成海上油田中得到应用和验证,以找到最佳的油井位置。结果表明,该方法可以为海上油田找到最佳的井位,以实现更均衡的驱油和更高的采油率。

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