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Multi-level learning scheme for calibrating wellbore trajectory models for directional drilling

机译:校准定向井眼轨迹模型的多层次学习方案

摘要

One or more sensors are positioned downhole in a wellbore of a geological formation. One or more survey directional measurements associated with the wellbore are performed and one or more continuous directional measurements associated with the wellbore are performed. A wellbore trajectory model projects a trajectory of the wellbore to respective measured depths where at least one of the one or more survey directional measurements and one or more continuous directional measurements were performed to predict one or more directional measurements of the wellbore at the respective measured depths. One or more errors are determined based on the predicted one or more directional measurements, the one or more survey directional measurements, and the one or more continuous directional measurements. The wellbore trajectory model is calibrated based on the one or more errors.
机译:一个或多个传感器位于地质构造的井眼中的井下。进行与井眼相关的一个或多个勘测定向测量,并且执行与井眼相关的一个或多个连续定向测量。井眼轨迹模型将井眼的轨迹投影到相应的测量深度,在其中进行一个或多个勘测方向测量值中的至少一个以及执行一个或多个连续方向测量值以预测在相应测量深度处的井眼的一个或多个方向测量值。基于预测的一个或多个方向测量值,一个或多个测量方向测量值以及一个或多个连续的方向测量值来确定一个或多个误差。基于一个或多个误差来校准井眼轨迹模型。

著录项

  • 公开/公告号GB201910927D0

    专利类型

  • 公开/公告日2019-09-11

    原文格式PDF

  • 申请/专利权人 HALLIBURTON ENERGY SERVICES INC.;

    申请/专利号GB20190010927

  • 发明设计人

    申请日2019-07-31

  • 分类号

  • 国家 GB

  • 入库时间 2022-08-21 11:43:22

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