Data for: Characterization of Kerogen Content and Activation Energy of Decomposition using Machine Learning Technologies in Combination with Numerical Simulations of Formation Heating

Name: Data for: Characterization of Kerogen Content and Activation Energy of Decomposition using Machine Learning Technologies in Combination with Numerical Simulations of Formation Heating
Creator: Kyung Jae Lee
Published: 2020-03-31T17:37:20.777Z
Keywords: Computer Simulation, Temperature

Lee, Kyung Jae

doi:10.17632/xczngmp98k.1

Data for: Characterization of Kerogen Content and Activation Energy of Decomposition using Machine Learning Technologies in Combination with Numerical Simulations of Formation Heating

Published: 31 March 2020| Version 1 | DOI: 10.17632/xczngmp98k.1

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Kyung Jae Lee

Description

Heater temperature transient data obtained with numerical simulation of formation heating. This is also the input data for inversion and classification by machine learning methods.

Data for: Characterization of Kerogen Content and Activation Energy of Decomposition using Machine Learning Technologies in Combination with Numerical Simulations of Formation Heating

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