Open AccessQuantitative Interpretation of Petrophysical Parameters for Reservoir Characterization in an Onshore Field of Niger Delta Basin
Author(s) -
Sofolabo O. Adekunle,
Osayande Ayo Desmond,
Alexander Nwakanma
Publication year - 2022
Publication title -
journal of geography, environment and earth science international
Language(s) - English
Resource type - Journals
ISSN - 2454-7352
DOI - 10.9734/jgeesi/2022/v26i330339
Subject(s) - petrophysics , lithology , geology , reservoir modeling , oil shale , structural basin , well logging , petrology , niger delta , permeability (electromagnetism) , saturation (graph theory) , stratigraphy , petroleum reservoir , sequence stratigraphy , delta , petroleum engineering , geomorphology , porosity , geotechnical engineering , facies , paleontology , tectonics , mathematics , combinatorics , aerospace engineering , membrane , biology , engineering , genetics
Reservoir characterization of a field was performed using petrophysical parameters for the evaluation of subsurface geological features and hydrocarbon potential of an onshore field in Niger Delta Basin. Four reservoir intervals were identified within the field wells based on their position within the stratigraphic column, and the reservoir correlation, which was aided using the principle of uniform horizontality, based on the simple rule that sediments are deposited horizontally and basic understanding of sequence stratigraphy. The study revealed that, the four reservoirs were predominantly sand units intercalated with shale within the reservoir units. The petrophysical evaluation revealed the Net to Gross (NTG) values ranges from 79% to 87% within the reservoir units, while the effective porosity ranges from 17% to 21%, the permeability ranges between 1307mD to 1678mD across the reservoir units, while the water saturation ranges from the lowest of 35% (reservoir C) to 78% in reservoir D. The approach validates the lithology discrimination of the elastic properties from the well logs and its effectiveness in optimizing and proper understanding of the subsurface, thus identifying and unmasking hidden features within the reservoir (probable bypass) in the field. The study has revealed that petrophysical parameters can be used quantitatively to characterize a field in terms of its lithology and fluid contents of the reservoir.