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Gradient-based workflows for conditioning of process-based geologic models

机译:基于梯度的工作流程,用于处理基于过程的地质模型

摘要

A method for correlating predicted data describing a subsurface region with obtained data describing the subsurface region is provided. Data is obtained describing an initial state of the subsurface region. Data describing a subsequent state of the subsurface region is predicted. A likelihood measure that determines whether the predicted data is within an acceptable range of the obtained data is dynamically and/or interactively updated. The predicted data is compared with the obtained data using the likelihood measure and determining a sensitivity of the predicted data if the predicted data is not within an acceptable range of the obtained data as measured by the likelihood measure. Data describing the initial state of the subsurface region is adjusted based on the sensitivity before performing a subsequent iteration of predicting data describing the subsequent state of the subsurface region. The predicted data is outputted.
机译:提供了一种用于将描述地下区域的预测数据与获得的描述地下区域的数据相关联的方法。获得描述地下区域的初始状态的数据。预测描述地下区域的后续状态的数据。动态地和/或交互地更新确定预测数据是否在获得的数据的可接受范围内的可能性度量。如果预测数据不在通过可能性度量测量的获得数据的可接受范围内,则使用可能性度量将预测数据与获得的数据进行比较,并确定预测数据的敏感性。在执行描述地下区域的后续状态的预测数据的后续迭代之前,基于灵敏度调整描述地下区域的初始状态的数据。预测数据被输出。

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