A data-driven approach for the prediction of coal seam gas content using machine learning techniques

Author:

Akdaş Satuk Buğra,Fişne Abdullah

Funder

Istanbul Teknik Üniversitesi

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference31 articles.

1. BP Statistical Review of World Energy;Company,2021

2. Willing N. Capital. Capital Com Bel, 20 April 2022. [Online]. Available: https://capital.com/coal-price-forecast. [Accessed 20 April 2022].

3. Prediction of coalbed methane production based on deep learning;Guo;Energy,2021

4. Coal mine methane: A review of capture and utilization practices with benefits to mining safety and to greenhouse gas reduction;Karacan;Int J Coal Geol,2011

5. Fathoming the mechanics of shale gas production at the microscale;Kovalchuk;J Nat Gas Sci Eng,2020

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