Methods and apparatuses for modeling shale characteristics in water-based muds using an artificial neural network

摘要

An apparatus and method for determining a formation-fluid interaction of a target formation and a target drilling fluid is described herein. The method may include training an artificial neural network using a training data set. The training data set may include a formation characteristic of a source formation and a fluid characteristic of a source drilling fluid. Once the artificial neural network is trained, a formation characteristic of the target formation may be input. The formation characteristic of the target formation may correspond to the formation characteristic of the source formation. A formation-fluid interaction of the target formation and the target drilling fluid may be determined using a value output by the artificial neural network.