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Schemes for automatic history matching of reservoir modeling: A case of Nelson oilfield in UK

机译:储层建模历史自动匹配方案:以英国尼尔森油田为例

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Schemes for automatic history matching of reservoir modeling are studied for the Nelson oilfield in the Central North Sea. A complete workflow of automatic history matching involves selection of reservoir variables that require modification and parameter updating schemes, automatic history matching, data analysis, and combination of the best results to obtain an ensemble of best reservoir models. Automatic history matching of Nelson field is conducted using production and time-lapse seismic data, with global single-variable approach, regional multi-variable approach and local multi-variable approach as updating schemes, net to gross, horizontal and vertical permeability as updating parameters. It is revealed that local multi-variable approach can effectively improve history matched results by reducing the number of simulation models, saving computing time and increasing the simulation precision. Global single-variable approach is only a suitable parameter updating scheme for cases where the history matching parameters are independent. Regional multi-variable approach is suitable for the cases where there is strong dependency between properties chosen for updating, and there are wells very close together with strong interaction. Local multi-variable approach is very useful when the history matching parameters are dependent but each selected region for updating is independent of others.
机译:在北海中部的尼尔森油田研究了储层模型自动历史拟合方案。完整的自动历史匹配工作流程包括选择需要修改和参数更新方案的储层变量,自动历史匹配,数据分析以及最佳结果的组合以获得最佳储层模型的集合。使用生产和延时地震数据进行纳尔逊油田的自动历史匹配,以全球单变量方法,区域多变量方法和局部多变量方法为更新方案,以净总流量,水平和垂直渗透率作为更新参数。结果表明,局部多变量方法可以通过减少仿真模型数量,节省计算时间,提高仿真精度来有效改善历史匹配结果。对于历史匹配参数独立的情况,全局单变量方法仅是合适的参数更新方案。区域多变量方法适用于以下情况:选择更新的属性之间存在强烈的依存关系,并且井之间的距离很近且相互作用很强。当历史匹配参数是依赖的,但是每个用于更新的选定区域彼此独立时,局部多变量方法非常有用。

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