Hydrocarbon Indication Using Petrophysical Well Logs in the Niger Delta Basin: Insights from ZIP Field
Abstract
This study evaluates hydrocarbon potential in the onshore Niger Delta Basin through detailed petrophysical well log analysis of four wells (ZIP1–ZIP4) in the ZIP Field. Using gamma ray, resistivity, and density logs interpreted in RokDoc software, key reservoir properties are volume of shale (Vsh), porosity (ϕ), water saturation (Sw), hydrocarbon saturation (Sh), bulk volume of water (BVW), permeability (K), and net-to-gross ratio (NGR) were determined for three primary reservoir units (Z1000, Z2000, and Z3000). Crossplots and log correlations revealed lateral lithological variations and identified clean sand intervals with favourable hydrocarbon indicators. Z2000 emerged as the most promising reservoir, showing low shale content (<5%), high porosity (up to 42%), low water saturation (14–25%), and permeability values supporting fluid flow. Diagnostic plots effectively discriminated between hydrocarbon-bearing sands, wet sands, and shales. The results demonstrate the efficacy of integrated petrophysical evaluation for delineating productive zones and guiding exploration strategies in the Niger Delta Basin.
Keywords
Petrophysical Analysis, Well Logs, Hydrocarbon Potential, Niger Delta Basin, Porosity, Water Saturation, Permeability, And Reservoir Characterization.
Citations
IRE Journals:
Okewu Godwin Onah, Olaniyan, Oloruntoba James, Jaggu Yohanna Jaggu, Alaji Innocent Chubiyojo; Adakole Ochai Innocent, Danjuma Bala Umar; Jita Aondona Peter "Hydrocarbon Indication Using Petrophysical Well Logs in the Niger Delta Basin: Insights from ZIP Field" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 3341-3351 https://doi.org/10.64388/IREV9I9-1715695
IEEE:
Okewu Godwin Onah, Olaniyan, Oloruntoba James, Jaggu Yohanna Jaggu, Alaji Innocent Chubiyojo; Adakole Ochai Innocent, Danjuma Bala Umar; Jita Aondona Peter
"Hydrocarbon Indication Using Petrophysical Well Logs in the Niger Delta Basin: Insights from ZIP Field" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715695
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