In this exclusive interview for AI and Technology Magazines, Agnès Boudot, EVP, HPC & Cloud Solutions, discusses her decades of HPC experience and how Viridien is collaborating with new clients to tailor and optimize their HPC and cloud environments.
AI capabilities are evolving and helping optimize workflows and aiding E&Ps with the vast troves of data they collect daily.
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.
Built with a robust sampling program and comprehensive and extensive geochemical testing for lithium-bearing potential, Viridien’s Smackover Formation exploration database addresses the exciting potential of the world’s most prolific lithium oilfield brine reservoir.
We present a method for the quantitative assessment of the subsurface suitability of saline aquifer CO2 storage sites using a case study example from the Northern North Sea.
The play-opening giant discoveries of Baleine and Murene-1 (Calao) offshore Tano Basin have reinvigorated exploration in the Equatorial margin of Africa. The basin is geologically complex and has proven its unparalleled hydrocarbon potential. To further explore this basin, there is a need for high-end imaging to enhance the regional understanding and de-risk the full play potential. In 2024, Viridien merged and re-imaged a seamless and contiguous volume of CDI-23 3D PSDM multi-client seismic data over an area of 6,434 km2 offshore Tano Basin, Côte d’Ivoire. This will soon be added to another 9,747 km2 of data from the CDI-24 Phase I and Phase II multi-client programs. Here we take a quick look at the fast-track imaging of the CDI-23 survey extending over the shelf to the outer slope domain, enhancing our understanding of the basin.
This whitepaper summarizes the marine geothermal system and co-production opportunities, an overview of where geothermal can be deployed, best practices for responsible development of offshore geothermal, and growth opportunities that offshore geothermal can bring to developing nations.
This case study demonstrates the collaborative advantages when an Operator and a Geoscience Contractor work collectively as part of a tailor-made Integrated Virtual Asset team, to solve complex subsurface challenges in a restricted time frame. The operating challenge was to de-risk a potential drilling candidate with a licence renewal decision pending. A poor seismic image of the key exploration prospect, caused by structural complexity above the reservoir interval, left significant uncertainty about the geological model and trap presence. Neither legacy nor contemporary re-processing of the seismic data had suitably resolved the target.
Geomechanical screening of potential CO2 storage sites in deep geological formations presents a substantial challenge, particularly in tectonically active regions like offshore Sarawak. In this study, we collect existing logs and downhole stress and pressure measurements to construct 1D mechanical earth models for three strategically located wells in the field.