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CNN-Driven Quantitative Interpretation of Deep Geothermal Reservoirs: Case Study of the Paris Basin

March 11, 2026 | 3:00 PM CET 
        
Online
Speaker: Pwavodi Joshua, Research Engineer in Geosciences, Petrotrophysicist

This webinar presents results from the GEOSCAN campaign, led by ADEME, the Île de France Region and BRGM, focused on evaluating deep geothermal potential in the western and southern Paris Basin. The study combines reprocessed and newly acquired seismic data with well logs and petrophysical measurements, using Convolutional Neural Networks to predict key reservoir properties directly along seismic lines. 

CNN driven interpretation delivers high resolution porosity and clay volume estimates, improving the understanding of reservoir architecture, structural controls and lateral variability. The results demonstrate how data driven seismic interpretation can significantly strengthen geothermal reservoir characterization and support robust resource assessment.

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Joshua
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Presenter: Pwavodi Joshua

Ph.D. in Geophysics, MSc in Petroleum Geoscience, BSc in Geology

Pwavodi Joshua is a Senior Research Engineer and Petrophysicist at BRGM, France. His expertise includes petrophysics, rock physics, reservoir characterization, and machine learning applied to geothermal energy and regional geology.

He completed his PhD in Geophysics at Université Grenoble Alpes in 2023, focusing on high resolution hydraulic modelling of the Nankai subduction zone. Following a postdoctoral position at the University of Strasbourg, he joined BRGM, where he contributes to major geothermal research projects.

He has published in peer reviewed journals, presented at international conferences, serves on editorial boards, and has received several competitive research awards. He also founded a mentoring initiative supporting African students in securing postgraduate scholarships.