| 2021 |
| 1 |
Intro to Machine Learning 1 |
Pejman Shoeibi Omrani (TNO) |
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| 2 |
Intro to R |
Sarang Rao |
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| 3 |
Geothermal Engineering (2021) |
Denis Voskov |
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| 4 |
Introduction to Machine Learning (Part 2) (2021) |
Gaetano Formato |
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| 2022 |
| 5 |
Introduction to Python - Part 1 |
Vikas Kooneti |
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| 6 |
The Need for and Challenge of Data Labeling |
Patrick Bangert (Samsung SDSA) |
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| 7 |
Advanced Python with ML (2022) |
Federico Falcone & Dimos Kapetis |
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| 2023 |
| 8 |
Geophysics Basics |
Magdalena Markovic (Uppsala University) |
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| 9 |
Seismic Data Processing |
Jozsef Orosz (OMV) |
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| 10 |
Machine Learning Methods 1 |
Mateusz Zareba (Halliburton) |
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| 11 |
Machine Learning Methods 2 (2023) |
Pavel Didenko |
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| 12 |
Seismic Data Interpretation |
Luca Fava (OMV Petrom) |
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| 13 |
Seismic Inversion - Rock Physics/Reservoir Characterization |
Kirill Siraev (GeoSoftware) |
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| 14 |
Introduction to Python |
Vikas Kooneti |
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| 15 |
Seismic Facies Interpretation using Machine Learning |
Mihir Gandhi, David Manzano, Sachit Saumya (SLB) |
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| 2024 |
| 16 |
Croatia – the geothermal energy front - the past, present and future |
Dragutin Domitrovic, Calida Acqua |
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| 17 |
Geothermal Reservoirs - Geology basics |
Ana Maria Alexandru (OMV) |
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| 18 |
Leapfrog – building a conceptual model |
Josh Sellars (Seequent) |
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| 19 |
Geothermal energy - heat flow quantification |
Yamal Askoul, Elkin Santafé (Baker Hughes) |
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| 20 |
Geothermal Field Development Plan - the Approach |
Tim Lines (Geothermal Wells) |
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| 21 |
Geothermal energy - project economics |
Devassy Varghese (Baker Hughes) |
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