Correlations for Permeability-Porosity Derived from Log and Core Data for an Onshore Niger Delta Field Using Cross Plotting

International Journal of Geoinformatics and Geological Science

© 2025 by SSRG - IJGGS Journal

Volume 12 Issue 1

Year of Publication : 2025

Authors : ADIZUA Okechukwu Frank, ODU Victor Chukwuma

10.14445/23939206/IJGGS-V12I1P104

How to Cite?

ADIZUA Okechukwu Frank, ODU Victor Chukwuma, "Correlations for Permeability-Porosity Derived from Log and Core Data for an Onshore Niger Delta Field Using Cross Plotting," SSRG International Journal of Geoinformatics and Geological Science, vol. 12,  no. 1, pp. 38-44, 2025. Crossref, https://doi.org/10.14445/23939206/IJGGS-V12I1P104

Abstract:

A previous study from the “NEMA” field by Adizua and Uzu (2024) evaluated petrophysical properties such as porosity, permeability, net to gross (NTG), and water and hydrocarbon saturation from five wells in the field. In this complementary study, we seek to establish the degree of correlations between permeability-porosity derived from both log and core results in Well 09, where both data are available. The study aims to establish that if a high correlation exists between log and core-derived porosities and permeabilities, we can validate log-derived petrophysical parameters in other well locations (Wells 01, 04, 07 and 12) where core data are unavailable. Petrel routines were used to generate the cross plots. The results showed a correlation coefficient (R) of 0.732845 for the core permeability versus core porosity cross plot. A correlation coefficient (R) of 0.79945 for core porosity versus log porosity cross plot and a correlation coefficient (R) of 0.833588 for core permeability versus log permeability cross plot. The plots revealed that core-derived permeabilities correlated very well with log-derived permeability for NEMA 09. Therefore, we can conclude from our findings that in wells where core data were not available, log-derived permeabilities and porosities were true approximations of the actual subsurface petrophysical parameters in those wells. This would ultimately guide in field development planning and exploitation objectives in the field.

Keywords:

Log Derived Parameters, Core Derived Parameters, Cross Plotting, Cross Plot Analysis, Correlation of Parameters, Informed Field Development Planning.

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