Invention Grant
- Patent Title: Method of training neural network models and using same for drilling wellbores
- Patent Title (中): 训练神经网络模型并用于钻井井筒的方法
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Application No.: US12265879Application Date: 2008-11-06
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Publication No.: US08417495B2Publication Date: 2013-04-09
- Inventor: Dmitriy Dashevskiy
- Applicant: Dmitriy Dashevskiy
- Applicant Address: US TX Houston
- Assignee: Baker Hughes Incorporated
- Current Assignee: Baker Hughes Incorporated
- Current Assignee Address: US TX Houston
- Agency: Cantor Colburn LLP
- Main IPC: G06G7/48
- IPC: G06G7/48 ; G06F15/18 ; E21B25/16

Abstract:
A method of creating and using a neural network model for wellbore operations is disclosed. The method, in one aspect, may include defining a plurality of a wellbore parameter; calculating a plurality of output values of a tool operating parameter using the plurality of values of the wellbore parameter as input to a preexisting model; and obtaining a neural network model by using the plurality of values of the wellbore parameter and the calculated plurality of output values of the tool operating parameter. The neural network may be utilized for any suitable wellbore operation, including in conjunction with a drilling assembly for drilling a wellbore.
Public/Granted literature
- US20090114445A1 Method of Training Neural Network Models and Using Same for Drilling Wellbores Public/Granted day:2009-05-07
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