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Methods and apparatuses for modeling shale characteristics in wellbore servicing fluids using an artificial neural network

机译:使用人工神经网络对井筒维修流体中的页岩特征进行建模的方法和设备

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 and experimental data on source formation/fluid interaction. Once the artificial neural network is trained, a formation characteristic of the target formation and fluid characteristic of target drilling fluid may be input. The formation characteristic of the target formation may correspond to the formation characteristic of the source formation. The fluid characteristic of the target drilling fluid may correspond to the fluid characteristic of the source drilling fluid. 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.
机译:本文描述了用于确定目标地层与目标钻井液的地层/流体相互作用的设备和方法。该方法可以包括使用训练数据集来训练人工神经网络。训练数据集可以包括源地层的地层特征和源钻井液的流体特征以及关于源地层/流体相互作用的实验数据。一旦训练了人工神经网络,就可以输入目标地层的地层特征和目标钻井液的流体特征。目标形成的形成特征可以对应于源形成的形成特征。目标钻井液的流体特性可以对应于源钻井液的流体特性。可以使用由人工神经网络输出的值来确定目标地层与目标钻井液的地层/流体相互作用。

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