首页> 外文会议>International Conference on Artificial Intelligence and Advanced Manufacture >Application of Deep Learning in Prediction of Linkage Relationship between Wells
【24h】

Application of Deep Learning in Prediction of Linkage Relationship between Wells

机译:深度学习在井间联动关系预测中的应用

获取原文

摘要

Aiming at the prediction problem of interconnection relationship between injection and production wells, a prediction method based on deep learning is proposed. The network structure of injection production wells is established with the center of water injection well location, which is simplified as the flow distribution problem under the conditions of well number, well spacing, angle and physical properties. Through numerical simulation, the distribution amount of various water injection between wells varies with time, and the learning model is optimized by results and parameters optimization, it can achieve high calculation accuracy and has broad application potential.
机译:旨在注射和生产井之间的互连关系的预测问题,提出了一种基于深度学习的预测方法。 注射生产井的网络结构与水注入孔位置建立,在井数,间距,角度和物理性质的条件下被简化为流分布问题。 通过数值模拟,井之间的各种注水的分布量随时间而变化,并且通过结果和参数优化进行了优化的学习模型,可以实现高计算精度并具有广泛的应用潜力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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