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MACHINE LEARNING-BASED ANALYSIS OF SEISMIC ATTRIBUTES

机译:基于机器学习的地震属性分析

摘要

Systems and methods are disclosed that include generating reservoir property profiles corresponding to reservoir properties for pseudo wells based on reservoir data, generating seismic attributes for the pseudo wells, and training a machine learning model by comparing the reservoir property profiles against the seismic attributes. In this manner, the machine learning model may be used to predict reservoir properties for use with seismic exploration above a region of a subsurface that contains structural or stratigraphic features conducive to a presence, migration, or accumulation of hydrocarbons.
机译:公开了这样的系统和方法,其包括基于储层数据为伪井生成与储层属性相对应的储层属性简档,为伪井生成地震属性,以及通过将储层属性简档与地震属性进行比较来训练机器学习模型。以这种方式,机器学习模型可以用于预测储层性质,以用于地下地下区域之上的地震勘探,该地下区域包含有利于碳氢化合物的存在,迁移或聚集的结构或地层特征。

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