Reservoir characterisation using hybrid optimisation of genetic algorithm and pattern search to estimate porosity and impedance volume from post-stack seismic data: A case study-Reference-Cited by-同舟云学术

Reservoir characterisation using hybrid optimisation of genetic algorithm and pattern search to estimate porosity and impedance volume from post-stack seismic data: A case study

Published:2024-05-13 Issue:2 Volume:133 Page:
ISSN:0973-774X
Container-title:Journal of Earth System Science
language:en
Short-container-title:J Earth Syst Sci

Author:

Verma Nitin,Maurya S P,Kant Ravi^ORCID,Singh K H,Singh Raghav,Singh A P,Hema G,Srivastava M K,Tiwari Alok K,Kushwaha P K,Richa

Funder

University Grant Commission India

IoE BHU

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12040-024-02299-y.pdf

Reference45 articles.

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3. Chatterjee S, Burreson M, Six B and Michel J M 2016 Seismically derived porosity prediction for field development-an onshore Abu Dhabi Jurassic carbonate reservoir case study; Abu Dhabi SPE J., https://doi.org/10.2118/183116-MS.

4. Chunduru R K, Sen M K and Stoffa P L 1997 Hybrid optimisation methods for geophysical inversion; J. Geophys. Res. 62(4) 1196–1207, https://doi.org/10.1190/1.1444220.

5. Cuddy and Glover 2002 The application of fuzzy logic and genetic algorithms to reservoir characterisation and modeling Soft Computing for Reservoir Characterization and Modeling; Heidelberg Physica-Verlag HD, https://doi.org/10.1007/978-3-7908-1807-9_10.