Systems and methods for training a well model to p

作者：Sebastian Kroczka | Welton Danniel Souza | Chafaa Badis

发明人：Sebastian Kroczka | Welton Danniel Souza | Chafaa Badis

所有人：Landmark Graphics Corporation 年：2022,

语种：英语

公开国家：GB 国家：英国

专利申请号：GB2203298-1 专利申请日期：2020-08-31

公开(公告)号：GB-2602737-A 公开日期：2022-07-13

优先权号：US62-9237292019-10-21

分类号：E21B-47/10 国际主分类号：E21B-47/10 国际分类号：E21B-47/10 | E21B-41/00 | E21B-47/12 | E21B-47/26

法律状态：Date of Art. 22/39 fulfilment of the PCT

摘要：Abstract Title: Systems and methods for training a well model to predict material loss for a pipe string within a boreholeA method for training a well model to predict material loss for a pipe string having a wall thickness and located within a borehole. The method may include measuring the wall thickness of a first pipe string at locations axially along the first pipe string with a logging tool at a first time. The method may also include measuring the wall thickness of the first pipe string at the locations with the logging tool at a second time. The method may further include training a first well model based on a machine learning ("ML") algorithm to predict a predicted amount of material loss in the future for the first pipe string at a selected location using the wall thickness measurements at the first and second times and well operating condition information related to the first pipe string.