| Title: |
Contribution of Remote Sensing and Geographic Information System in the Feasibility Study of an Oil Exploration Project in Democratic Republic of Congo: Case of the Mavuma Block in the Coastal Basin |
| Authors: |
Ange KRA; Eli-Achille MANWANA MFUMUKANI; JeaneyLUSONGO ELUA; Steeve SIYUM MUSIANGA; Gradi KALONJI LELO; Prisca KATSHUNGA AKAZIA; Bigman MULONGO MANDELA; Solange KAZI KATYA; Julien BOKELE MBOYO; Raymond NDUMBA DON |
| Publisher Information: |
Zenodo |
| Publication Year: |
2023 |
| Collection: |
Zenodo |
| Description: |
This study focuses on the application of digital processing of satellite images in the feasibility study of an oil exploration project in the southern part of the Mavuma oil block in the Democratic Republic of Congo. This area remains virtually unexplored despite confirmed oil seeps and huge tar sand potential. On this, we used SRTM images with a spatial resolution of 30 m and other shapefile type data from multiple sources that were integrated into a Geographic Information System to better understand the geomorphological and hydrographic characteristics exploration area. The processing of all this collected data allowed us to generate Digital Elevation Models, hydrographic modeling as well as measurement points for a geophysical and/or a geochemical survey arranged taking into account the geomorphological characteristics of the study area. The maps of the classification of measurement points produced at the end of this work indicated that 55.7% of the stations are located in the noisy zone, which is a region with several asperities on the geomorphological level covering almostthe entire eastern and northern part of our study area, and 20% of the stations are located along watercourses. However, this state of affairs will not be an obstacle for field measurements because the DEM has shown us that there would be low altimetric variability within our study area. This would therefore be favorable to the implementation of a ground survey in this region. Thirty days during the dry season and three teams of fiveagents will be needed to carry out data acquisition work in the field. |
| Document Type: |
article in journal/newspaper |
| Language: |
unknown |
| Relation: |
https://zenodo.org/records/7888683; oai:zenodo.org:7888683; https://doi.org/10.5281/zenodo.7888683 |
| DOI: |
10.5281/zenodo.7888683 |
| Availability: |
https://doi.org/10.5281/zenodo.7888683; https://zenodo.org/records/7888683 |
| Rights: |
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode |
| Accession Number: |
edsbas.F9D978D8 |
| Database: |
BASE |