Romain chassagne

I do computational engineering for Geosciences, working on semi-automated methods to offer a more quantitative qualification and characterisation of the uncertainty in data and models in a merger workflow type of approach. We can call it data integration, data assimilation, or digital twins. My work is real world data-centric driven (deep geothermal, CO2 storage), therefore, aiming to support the decision making process for ressources exploration and exploitation. I develop this approach through different projects I lead or I contribute to, with different research consortia funded by the European council or the French council, which includes industry and academics' partners.

Data assimilation and uncertainty characterization

Digital twin

data-driven Forecast and prediction

Generalisation of techniques and methods for georessources (exploration and exploitation)

Multi-stream data integration (wells, map-based data)

Mathematical and computational methods, generalisation and automatisation

Uncertainty analysis and propagation

Objective function (fitness landscape, metrics, pattern recognition)

Fabrice Sawadogo (with Bordeaux University), in progress / AI enabled for Geothermal favorability zones.

Paul Mitchell, part-time PhD (supervised from 2020 to 2022, now acting as an external supervisor, as I moved from Heriot-Watt to BRGM in 2022) / Fitness landscape analysis for data assimilation problems.

Antony Hallam (completed in 2022) / An Assessment of the Assisted Seismic History Matching Workflow, practical innovations and solutions

 Ignacio Guridi (with Bordeaux University) (completed in 2023) / Contaminated Sites Remediation under Uncertainty : Adaptive Strategies for
Project Optimization.

Rasool Amiri (supervised from 2020 to 2022 because I moved from Heriot-Watt to BRGM in 2022) / Machine learning proxy models for 4D seismic history matching.

Samarth Bachkheti (completed in 2023) / Joint inversion of 4D AVO and time-shifts for geomechanical evaluation.

Saeed Izadian (completed in 2022) / interpretation and value of pre-stack time-shifts in a North Sea dataset.

Gustavo Corte (completed in 2020) /Development of techniques for quantifying pressure and saturation changes from 4D seismic data applied to a North Sea field.

Cheng Gong (completed in 2018) / Seismic history matching using proxy models.

Niki Obiwulu (completed in 2018) / Local waterflooding assessment using 4D seismic data and reservoir simulation.

Zhen (David) Yin (completed in 2017) / Enhancement of dynamic reservoir interpretation using the well2seis technique.

Dennis Obidegwu (completed in 2015) / Seismic history matching using binary images.

Horizon EU, UNDERCOVER (2025-2028)

French Research Council (ANR)GLITER, Integrative multiscale investigation of heat and lithium source and pathways in Deep geothermal System in a rift context: Focus on the Upper Rhine Graben, 2022 - 2026

Horizon EU CO2 PilotSTRATEGY 2020 - 2026

Industry consortium Edinburgh Time-Lapse Project (ETLP), 2021 - 2024

MEDIA IRM3D (subvention de recherche région Nouvelle-Aquitaine) / LRCom I3M (Siemens/CNRS/Université de Poitiers), 2021 - 2023.

Japan Society for Promotion of Science (JSPS) long-term Fellowship 2019.

British council, GSIKE Joint Academic Development, 2018.

Industry consortium Edinburgh Time-Lapse Project (ETLP), 2018 - 2021.

LEFE INSU, 2017.

Sasakawa Foundation Award, 2016

Joint Industry Project 2016 - 2017.​

Industry concostium Edinburgh Time-Lapse Project (ETLP), 2015 - 2018.

Sasakawa Foundation Award, 2014

Industry consortium Edinburgh Time-Lapse Project (ETLP) Consortium, 2013 - 2015.

Edinburgh Society for Industrial and Applied Mathematics (SIAM) Student Chapter, 2014.