Five CO2 capture technologies have been compared in an industrial application
Find out the outcomes of a techno-economical study performed by TotalEnergies and the engineering company SOFRESID from 2018 to 2020.
Each year our Exploration & Production experts participate in major oil and gas events – international, regional or thematic conferences and exhibitions. TotalEnergies representatives act as keynote speakers in plenary sessions or speakers to present technical papers or poster displays. They also serve as panelists, delegates and staff our stands. In addition, the Group sponsors certain events.
Our goal is to share the challenges, the strategy and the ambition of the Exploration & Production branch to support TotalEnergies' ambition to meet the double challenge of the energy transition: more energy, less carbon. To do this, we can count on our employees, operational excellence, technical expertise, advanced technologies and exploration & production know-how. We are committed to providing concrete, efficient and profitable solutions to meet the expectations of our stakeholders.
Find us at the most important events in our sector.
All oil & gas conferences for 2022:
For each conference, you can find: the website, the date and whether it will take place online or in person.
Based on a 6-year study led by TotalEnergies R&D, discover how monitoring plant exposure to hydrocarbons and heavy metals could help for assessing the ecological risks of contaminated sites.
Find out how Total, associated with ADNOC, have crossed yet another technological threshold by successfully injecting a new generation polymer into an onshore carbonate reservoir in the Middle East.
Predicting the risk of hydrocarbon kicks is a concern for the industry and the drilling métier. Discover DrillX, the digital transformation program of Total's Drilling & Wells métier, and the possibilities offered by AI models.
High quality ties of pre-stack data are necessary but not enough for a reliable seismic reservoir characterization. Discover here a novel and complementary vision of quantitative calibration that helps assessing the reliability and limitations of pre-stack datasets.