Lithofacies and depositional environments in the Saltpond Basin of Ghana: A well log analysis

This study employs geophysical logs to interpret lithofacies and depositional environments within Ghana’s Saltpond Basin, complementing the region’s predominantly surface-based analyses. Gamma ray (GR) and spontaneous potential (SP) logs were used to identify sand, shaly sand, and shale lithologies, while resistivity, bulk density, and sonic logs further refined lithological characterization. The well section was divided into seven electrofacies units based on distinct log responses and motifs. GR log motifs and facies sequences were analyzed to interpret depositional environments, which were identified as fluvial, shallow marine, and deltaic, consistent with known regional facies patterns. This study confirms the reliability of well logs for lithofacies and depositional environment interpretations, particularly in the absence of core samples

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17263772
Primary Topic
Advanced Data Storage Technologies
Type
article
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article

Lithofacies and depositional environments in the Saltpond Basin of Ghana: A well log analysis

Zenodo (CERN European Organization for Nuclear Research)
Advanced Data Storage Technologies
article

Lithofacies and depositional environments in the Saltpond Basin of Ghana: A well log analysis

article en

Abstract

This study employs geophysical logs to interpret lithofacies and depositional environments within Ghana’s Saltpond Basin, complementing the region’s predominantly surface-based analyses. Gamma ray (GR) and spontaneous potential (SP) logs were used to identify sand, shaly sand, and shale lithologies, while resistivity, bulk density, and sonic logs further refined lithological characterization. The well section was divided into seven electrofacies units based on distinct log responses and motifs. GR log motifs and facies sequences were analyzed to interpret depositional environments, which were identified as fluvial, shallow marine, and deltaic, consistent with known regional facies patterns. This study confirms the reliability of well logs for lithofacies and depositional environment interpretations, particularly in the absence of core samples

Zenodo (CERN European Organization for Nuclear Research)
University of Ghana (GH), University for Development Studies (GH)
Life below water
Openalex Percentile: Top 43%
Advanced Data Storage Technologies
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