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, for digital twinning. 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 twins

data-driven, hybrid and full-physics Forecasting and prediction

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

Multi-source data integration (wells, 2D/3D seismic, resistivity, gravity, electromag, etc.. data)

Mathematical and computational methods, generalisation and automatisation

Uncertainty analysis and propagation

Objective function (fitness landscape, metrics, pattern recognition)

Fitness landscapes

 analysis for inverse problem formulations

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.

EU FEDR STEP, digiTherm project (2026-2028)

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.