首页> 外国专利> APPLICATION OF MARSH FUNNEL THROUGH USE OF TRAINED ALGORITHM

APPLICATION OF MARSH FUNNEL THROUGH USE OF TRAINED ALGORITHM

机译:沼泽漏斗在训练算法应用中的应用

摘要

A method includes obtaining a density of a fluid and obtaining a Marsh funnel time associated with the fluid. The density of the fluid and the Marsh funnel time is provided to a processor. The processor derives properties of the fluid from the fluid density and the Marsh funnel time. A machine-learning algorithm is applied to the properties of the fluid. The machine-learning algorithm determines a plastic viscosity and a yield point of the fluid. Output of the machine-learning algorithm is stored for future use. Properties of the drilling fluid are adjusted based on the output of the machine learning algorithm.
机译:一种方法包括获得流体的密度并获得与流体相关的摩尔斯漏斗时间。流体的密度和沼气漏斗时间被提供给处理器。处理器从流体密度和沼泽漏斗时间导出流体的性质。一种机器学习算法应用于流体的性质。机器学习算法确定流体的塑料粘度和屈服点。存储机器学习算法的输出备将来使用。基于机器学习算法的输出调整钻井液的性质。

著录项

  • 公开/公告号US2021072131A1

    专利类型

  • 公开/公告日2021-03-11

    原文格式PDF

  • 申请/专利权人 THE TEXAS A&M UNIVERSITY SYSTEM;

    申请/专利号US202017014579

  • 发明设计人 PAUL OFOCHE;SAMUEL F. NOYNAERT;

    申请日2020-09-08

  • 分类号G01N11/06;G01N9;G01N33/28;E21B21/06;

  • 国家 US

  • 入库时间 2022-08-24 17:38:37

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