Invention Application
- Patent Title: ESTIMATION OF GLOBAL THERMAL CONDITIONS VIA COSIMULATION OF MACHINE LEARNING OUTPUTS AND OBSERVED DATA
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Application No.: US16929191Application Date: 2020-07-15
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Publication No.: US20220019933A1Publication Date: 2022-01-20
- Inventor: Zainab Diana Titus , Annabel Causer , Graham Baines , Christine Yallup , Olutobi Adeyemi , Marc Paul Servais
- Applicant: Landmark Graphics Corporation
- Applicant Address: US TX Houston
- Assignee: Landmark Graphics Corporation
- Current Assignee: Landmark Graphics Corporation
- Current Assignee Address: US TX Houston
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06K9/62 ; G06F17/17 ; G01K17/08 ; G01N25/18

Abstract:
A heat flow modeler preprocesses geological and heat flow data for an earth formation for inputting into a plurality of supervised learning models. The heat flow modeler trains the plurality of supervised learning models on the preprocessed geological data to estimate heat flow throughout the earth formation. The heat flow modeler interpolates the estimated heat flow values to a set of desired locations in the earth formation and cosimulates the preprocessed heat flow values with the interpolated heat flow values as auxiliary variables to generate a cosimulated heat flow map. A final heat flow map is generated by rasterizing the cosimulated heat flow map.
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