Machine Learning Tools for Fossil and Geothermal Energy Production and Carbon Geo-sequestration—a Step Towards Energy Digitization and Geoscientific Digitalization
Crossref DOI link: https://doi.org/10.1007/s43615-021-00105-1
Published Online: 2021-08-24
Published Print: 2022-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Misra, Siddharth https://orcid.org/0000-0003-1799-8674
Liu, Rui
Chakravarty, Aditya
Gonzalez, Keyla
Funding for this research was provided by:
Energy Institute, Texas A and M University
Text and Data Mining valid from 2021-08-24
Version of Record valid from 2021-08-24
Article History
Received: 13 January 2021
Accepted: 14 August 2021
First Online: 24 August 2021
Declarations
:
: The authors declare no competing interests.