Petrophysical Evaluation and Reservoir Quality of the Upper Cretaceous Sedimentary Formations of Block CI-M in the Ivorian Offshore Basin

This report focuses on the characterization of reservoirs from wells in block CI-M of the Ivorian offshore sedimentary basin. The aim of this study is to identify and evaluate potential reservoirs by characterizing the petrophysical parameters of the formations. The study was based on the interpretation of gamma ray, resistivity, sonic, density and neutron logs, as well as the evaluation of the petrophysical parameters of the different reservoir formations crossed by the wells M-1X and M-2X. The results showed that the different well strata are predominantly composed of clays, but in some wells, there are intercalations of sandstone, limestone, sand, and siltstone beds at the Turonian and Cenomanian levels. Furthermore, the development of the lithostratigraphic column and the petrophysical parameters allowed us to identify reservoirs levels. Additionally, the study of wells M-1X and M-2X indicates that the reservoir layers are located in the Campanian, Turonian, and Cenomanian stages. The establishment of the lithostratigraphic column, the interpretation of the well logs, and the determination of the petrophysical parameters of the wells have highlighted three oil-bearing reservoirs and two water reservoirs.

Authors

Publication Details

Journal
Open Journal of Geology
Published
2025-01-01
DOI
https://doi.org/10.4236/ojg.2025.156016
Citations
1
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
0.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Petrophysical Evaluation and Reservoir Quality of the Upper Cretaceous Sedimentary Formations of Block CI-M in the Ivorian Offshore Basin

Mondé Sylvain, Yapi Désiré Sosthène Ronald Atto, Koffi Eugène Kouadio, Nan Yao et al.
1 citations
Open Journal of Geology
Hydrocarbon exploration and reservoir analysis
0.86
article

Petrophysical Evaluation and Reservoir Quality of the Upper Cretaceous Sedimentary Formations of Block CI-M in the Ivorian Offshore Basin

Mondé Sylvain, Yapi Désiré Sosthène Ronald Atto, Koffi Eugène Kouadio, Nan Yao, Moumoune Ilboudo
article en
1 citations

Abstract

This report focuses on the characterization of reservoirs from wells in block CI-M of the Ivorian offshore sedimentary basin. The aim of this study is to identify and evaluate potential reservoirs by characterizing the petrophysical parameters of the formations. The study was based on the interpretation of gamma ray, resistivity, sonic, density and neutron logs, as well as the evaluation of the petrophysical parameters of the different reservoir formations crossed by the wells M-1X and M-2X. The results showed that the different well strata are predominantly composed of clays, but in some wells, there are intercalations of sandstone, limestone, sand, and siltstone beds at the Turonian and Cenomanian levels. Furthermore, the development of the lithostratigraphic column and the petrophysical parameters allowed us to identify reservoirs levels. Additionally, the study of wells M-1X and M-2X indicates that the reservoir layers are located in the Campanian, Turonian, and Cenomanian stages. The establishment of the lithostratigraphic column, the interpretation of the well logs, and the determination of the petrophysical parameters of the wells have highlighted three oil-bearing reservoirs and two water reservoirs.

Open Journal of GeologyVol. 15(06)
Life below water
Openalex Percentile: Top 28%
Hydrocarbon exploration and reservoir analysis
0.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.