Selection of a Suitable Rock Mixing Method for Computing Gardner’s Constant Through a Machine Learning (ML) Approach to Estimate the Compressional Velocity: A study from the Jaisalmer sub-basin, India-Reference-Cited by-同舟云学术

Selection of a Suitable Rock Mixing Method for Computing Gardner’s Constant Through a Machine Learning (ML) Approach to Estimate the Compressional Velocity: A study from the Jaisalmer sub-basin, India

Published:2021-05-05 Issue: Volume: Page:
ISSN:0033-4553
Container-title:Pure and Applied Geophysics
language:en
Short-container-title:Pure Appl. Geophys.

Author:

Yalamanchi Pydiraju,Datta Gupta Saurabh^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Geochemistry and Petrology,Geophysics

Link

https://link.springer.com/content/pdf/10.1007/s00024-021-02733-y.pdf

Reference35 articles.

1. Batzle, M. L., & Wang, Z. (1992). Seismic properties of pore fluids. Geophysics, 64, 1396–1408

2. Berryman, J. G. (1999). Origin of Gassmann’s equations. Geophysics, 64, 1627–1629

3. Castagna, J. P., Batzle, M. L., & Eastwood, R. L. (1985). Relationship between compressional-wave and shear-wave velocities in clastic silicate rocks. Geophysics, 50, 571–581

4. Chahal, R., & Datta Gupta, S. (2020). Capture the variation of the pore pressure with different geological age from seismic inversion study in the Jaisalmer sub-basin, India. Petrol Science, 17, 1556–1578

5. Das Gupta, S. K. (1975). Revision of the Mesozoic–Tertiary stratigraphy of the Jaisalmer Basin Rajasthan. Indian Journal of Earth Sciences, 2, 77–94

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