首页> 外国专利> FACILITATING HYDROCARBON EXPLORATION BY APPLYING A MACHINE-LEARNING MODEL TO BASIN DATA

FACILITATING HYDROCARBON EXPLORATION BY APPLYING A MACHINE-LEARNING MODEL TO BASIN DATA

机译:通过将机器学习模型应用于盆地数据来促进碳氢化合物勘探

摘要

A system includes a processor and a memory. The memory includes instructions that are executable by the processor to cause the processor to receive basin data of a target basin including an area of the target basin, a number of exploration wells in the target basin, and a number of discovery wells in the target basin. Additionally, the instructions are executable to cause the processor to provide the basin data as input to a trained machine-learning model to determine a predicted trajectory of exploration efficiency of the target basin. Further, the instructions are executable to cause the processor to, in response to providing the basin data as input to the trained machine-learning model, receive an output from the trained machine-learning model indicating the predicted trajectory of exploration efficiency in the target basin.
机译:系统包括处理器和存储器。 存储器包括由处理器执行的指令,以使处理器接收目标盆地的盆地数据,包括目标盆地的区域,目标盆中的许多探测井,以及目标盆中的许多发现孔 。 另外,指令可执行,以使处理器将盆数据提供为培训的机器学习模型的输入,以确定目标盆地的勘探效率的预测轨迹。 此外,该指令是可执行的,以使处理器响应于将盆数据提供为培训的机器学习模型的输入,从培训的机器学习模型中接收指示目标盆中的探测效率的预测轨迹的输出 。

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