Mapping of Reservoir Properties using Model-based Seismic Inversion and Neural Network Architecture in Raniganj Basin, India
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geology
Link
https://link.springer.com/content/pdf/10.1007/s12594-022-2005-2.pdf
Reference28 articles.
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2. Austin, O., Onyekuru, S.O., Ebuka, O.A. and Abdulrazzaq, T.Z. (2018) Application of model-based inversion technique in a field in the coastal swamp depo belt, Niger delta. Internat. Jour. Advan. Geosci., v.6(1), pp.122–126.
3. Banerjee, A., and Chatterjee, R. (2021a) A Methodology to Estimate Proximate and Gas Content Saturation with Lithological Classification in Coalbed Methane Reservoir, Bokaro Field, India. Natural Resour. Res., v.30, pp.2413–2429. doi:https://doi.org/10.1007/s11053-021-09828-2.
4. Banerjee, A., and Chatterjee, R. (2021b) Fracture analysis using Stoneley wave in coalbed methane reservoir. Near Surface Geophysics. doi:https://doi.org/10.1002/nsg.12176.
5. Banerjee, A., and Chatterjee, R. (2022) Pore pressure modeling and in situ stress determination in Raniganj basin, India. Bull. Engg. Geol. Environ., v.81, 49. doi:https://doi.org/10.1007/s10064-021-02502-0
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