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Addressing The Impossible History Match Problem: Using a Systematic Approach to Eliminate Model Bias

机译:解决不可能的历史匹配问题:使用系统方法来消除模型偏差

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Cognitive biases are unconscious errors in judgement and decisions particularly those that are under conditions of uncertainty.The impact of bias in reservoir simulation can be reduced by validating model assumptions with a multidisciplinary team and sourcing required data that can help to resolve significant uncertainties.This approach was utilized for Reservoir_E simulation study where bias in history match parameter was eliminated.In an initial history match attempt,assisted history match method was used to indicate that a single tank model solution was "impossible" for this reservoir.A two-tank history matched model was therefore proposed against prior geologic and engineering understanding of the reservoir.This bias was identified by a multi-disciplinary team after analyzing all available data.This led to a second history match effort which expanded the range of uncertainty parameters and got a good history match with a single tank,in line with understanding of reservoir architecture and flow mechanism.The single tank assumption was later validated with geochemistry analysis of oil samples from existing producers.This paper demonstrates best practices in conducting reservoir simulation studies by showing the nonuniqueness of simulation models and the need to validate model assumptions using a multidisciplinary team and all available data.
机译:认知偏见是判断和决定中的无意识错误,特别是那些在不确定性条件下的决定。通过用多学科团队验证模型假设和采购所需数据,可以有助于解决重大不确定性的所需数据,减少储层模拟中的偏差的影响。这方法被用于储存器仿真研究,其中消除了历史匹配参数的偏差。在初始历史匹配尝试中,辅助历史匹配方法用于表示该储层的单个油箱模型解决方案是“不可能”的因此建议模型反对对水库的先前地质和工程理解。在分析所有可用数据后,多学科团队通过多学科团队确定了偏见。这导致了第二历史竞争努力,扩大了不确定性参数范围并获得了良好的历史与单一坦克匹配,符合对水库建筑师的理解Ure和流动机制。稍后用来自现有生产商的石油样本的地球化学分析验证了单箱假设。本文通过展示模拟模型的非同性度和使用多学科团队来验证模型假设的需要,展示了开展水库模拟研究的最佳实践和所有可用数据。

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