Strategic Utilization of Geo-Resources in India: Integrated Machine Learning and Kinetic Modeling of Lignite for Underground Coal Gasification Assessment

Author:

Uppalakkal VishnuORCID,Jharkhande Jayant,Hakkim Ajas,Nair Rajesh R.

Publisher

Springer Science and Business Media LLC

Reference83 articles.

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2. Ag Mohamed, A., Batto, S.F., & Changmoon, Y. (2011). Viability of underground coal gasification with carbon capture and storage in Indiana. Capstone Design, Bloomington School of Public and Environmental Affairs, Indiana University

3. Aghalayam, P. (2018). Cavity models for underground coal gasification. In S. De, A. K. Agarwal, V. S. Moholkar, & B. Thallada (Eds.), Coal and biomass gasification (pp. 207–221). Springer. https://doi.org/10.1007/978-981-10-7335-9_8

4. Aghel, B., Yahya, S. I., Rezaei, A., & Alobaid, F. (2023). A dynamic recurrent neural network forpPredicting higher heating value of biomass. International Journal of Molecular Sciences, 24(6), 5780. https://doi.org/10.3390/ijms24065780

5. Akkaya, A. V. (2022). Coal higher heating value prediction using constituents of proximate analysis: Gaussian process regression model. International Journal of Coal Preparation and Utilization, 42(7), 1952–1967.

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