Catalog of Coefficients for Estimating Bulk and Shear Moduli as a Function of Lithology


  • J.R. Fanchi Department of Engineering and Energy Institute, Texas Christian University, USA



Petroelastic Model, Catalog, Lithology, Gassmann, Seismic velocity


The purpose of this paper is to present correlation coefficients for a variety of rock types that can be used in a suitable petroelastic model (PEM). The correlation coefficients for different rock types facilitate the application of a petroelastic model in reservoir flow models. By combining the correlation coefficients and the PEM, it is possible to obtain low-cost estimates of reservoir geophysical attributes. The rock types include dolomite, limestone, high porosity sandstone, poorly consolidated sandstone, tight gas sandstone, and well consolidated Gulf Coast sandstone.


Souza R, Lumley D, Shragge J, Davolio A, Schiozer DJ. Analysis of time-lapse seismic and production data for reservoir model classification and assessment. Journal of Geophysics and Engineering 2018; 15: 1561-1587. DOI:

Curcio A, Macias L. Hydraulic fracturing monitoring: New concept of electromagnetics linked to elastic modeling. Interpretation 2019; T39-T48. DOI:

Commer M, Pride SR, Vasco DW, Finsterle S, Kowalsky MB. Imaging of a fluid injection process using geophysical data – A didactic example. Geophysics 2020; 85: W1-W16. DOI:

Kalam S, Olayiwola T, Al-Rubaii MM, Amaechi BI, Jamal MS, Awotunde AA. Carbon dioxide sequestration in underground formations: review of experimental, modeling, and field studies. Journal of Petroleum Exploration and Production Technology 2021; 11: 303-325. DOI:

Fanchi JR. Principles of Applied Reservoir Simulation, Fourth Edition. Elsevier-Gulf Professional Publishing, Woburn, Massachusetts and Oxford, UK 2018. DOI:

Fanchi JR. Embedding a Petroelastic Model in a Multipurpose Flow Simulator to Enhance the Value of 4D Seismic. SPE Reservoir Evaluation and Engineering 2010; 13: 37-43. DOI:

Fanchi JR. Integrated Reservoir Asset Management. Elsevier-Gulf Professional Publishing, Burlington. Massachusetts 2010. DOI:

Almudh'hi SM, Fanchi JR. Experimental Evaluation of the Petrophysical Algorithm in an Integrated Flow Model. Journal of Petroleum Science and Technology 2009; 27: 1312-1329. DOI:

Fanchi JR, Batzle ML. Petrophysical Data for Integrated Flow Modeling. Journal of Petroleum Science and Engineering 2000; 28: 1-8. DOI:

Mavko G, Mukerji T, Dvorkin J. The Rock Physics Handbook, 1st Edition, Cambridge: Cambridge University Press 1998.

Castagna JP, Batzle ML, Eastwood RL. Relationships between compressional-wave and shear-wave velocities in clastic silicate rocks. Geophysics 1985; 50: 571-581. DOI:

Fanchi JR. The Han-Eberhart-Phillips model and integrated flow modeling. Geophysics 2003; 68: 574-576. DOI:

Murphy W, Reischer A, Hsu K. Modulus decomposition of compressional and shear velocities in sand bodies. Geophysics 1993; 58: 227-239. DOI:




How to Cite

Fanchi, J. (2021). Catalog of Coefficients for Estimating Bulk and Shear Moduli as a Function of Lithology. Journal of Basic & Applied Sciences, 17, 162–167.