首页> 外国专利> FIELD/RESERVOIR OPTIMIZATION UTILIZING NEURAL NETWORKS

FIELD/RESERVOIR OPTIMIZATION UTILIZING NEURAL NETWORKS

机译:利用神经网络进行油田/储层优化

摘要

A method of optimizing performance of a well system utilizes a neural network. In a described embodiment, the method includes the step of accumulating data indicative of the performance of the well system in response to variable influencing parameters. The data is used to train a neural network to model an output of the well system in response to the influencing parameters. An output of the neural network may then be input to a valuing model, e.g., to permit optimization of a value of the well system. The optimization process yields a set of prospective influencing parameters which may be incorporated into the well system to maximize its value.
机译:优化井系统性能的方法利用神经网络。在所描述的实施例中,该方法包括以下步骤:响应于可变的影响参数,累积指示井系统的性能的数据。数据用于训练神经网络,以响应影响参数对井系统的输出进行建模。然后可以将神经网络的输出输入到评估模型,例如以允许对井系统的值进行优化。优化过程产生一组预期的影响参数,可以将其合并到井系统中以使其价值最大化。

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