首页> 外国专利> METHOD AND APPARATUS FOR MODELING SHALE CHARACTERISTICS IN WATER-BASED MUDS USING AN ARTIFICIAL NEURAL NETWORK

METHOD AND APPARATUS FOR MODELING SHALE CHARACTERISTICS IN WATER-BASED MUDS USING AN ARTIFICIAL NEURAL NETWORK

机译:基于人工神经网络的水性泥浆页岩特征建模方法及装置

摘要

An apparatus and method for determining a formation-fluid interaction of a target formation and a target drilling fluid are 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.
机译:本文描述了用于确定目标地层和目标钻井液的地层-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。一旦训练了人工神经网络,就可以输入目标编队的编队特征。目标形成的形成特征可以对应于源形成的形成特征。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。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号