In an exclusive interview with Frontier Energy Network, Emmanuel Nformi, Viridien’s Business Development Manager, Sub-Saharan Africa, Earth Data, and Samuel Essoh, Geoscience Director, PETROCI, spoke about the relationship forged with Côte d’Ivoire’s General Directorate of Hydrocarbons (DGH) and NOC, PETROCI Holding (PETROCI) since 1999 and the mutual benefits gained.
This paper illustrates a robust methodology for achieving detailed mapping of sand injectites in the Greater Fram area using seismic attribute analysis and integrating machine learning techniques that are specifically targeted at injectites and fault prediction. Key to our methodology is the use of newly processed dual-azimuth seismic data, characterized by advances in pre-processing, noise mitigation, and velocity model building (VMB) technologies. Applying ML predictions to enable the identification of injectite geobodies provides deeper insights into these subsurface reservoirs, allowing a better understanding of the geometries of the injectites and helping to increase the efficiency of hydrocarbon exploration and production.