GeoDataSience and UQ group is pleased to present our research at EAGE Annual in Aberdeen, which feels like a local call close to home: Victor Souza will present his PhD work on Core Permeability Prediction Using Geological Features and Machine Learning in Pre-Salt Carbonates, co-authored by V. Demyanov and D. Arnold on Wednesday, June 10, 4:30 […]
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GeoDataScience & UQ research overview at Imperial College seminar
It was an honour to present a customised overview of GeoDataScience & UQ past and present research at Imperial. Vasily Demyanov covered the highlights of 4 PhD theses and 1 MSc in just 60 mins including questions: Dr Quentin Corlay, 2023: Detection of Geobodies in 3D Seismic using Unsupervised Machine Learning Dr Athanasios (Athos) Nathanail, 2023: Capturing interpretational uncertainty […]
A Keynote and a poster at AAPG Decision Based Integrated Reservoir Modelling 2025
Vasily Demyanov delivered an invited keynote talk at AAPG Decision Based Integrated Reservoir Modelling, Al Khobar 2025, Explainable AI in Reservoir Modeling Workflows also accompanied by a poster by Roman Baishev – Geosteering Under Geological Uncertainty that presents geosteering model probability update workflow across ensemble of model realisation based on Watt UQ benchmark case . […]
First paper on AHM with Graph Variational Autoencoders out on ArXiv
Dr Gleb Shishaev graduated in 2024 with a thesis History Matching and Uncertainty Quantification of Reservoir Performance with Generative Deep Learning and Graph Convolutions Here is the first paper in a series of papers based on his thesis: History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and […]
PhD opening for UK home application in evaluating natural H2 systems using Agent-based Modelling (ABM)
This PhD project addresses that gap by creating novel simulation tools to explore and evaluate natural hydrogen systems using agent-based modelling (ABM), a form of AI based that models complex interactions in systems with simplified rules/behaviours. This makes them powerful and interpretable. This PhD, part-funded by a Hydrogen exploration company, H2AU, will develop ABM models on real […]
Vera Dogo received Modelling Innovation Student Challenge Award at Rock Flow Dynamic Tech Summit in London
Vera Dogo, REM MSc graduate 2024, won RFD Modelling Innovation Student Challenge award 2025. She was shortlisted with 2 other finalists: Aida Kanatbayeva (HWU PE graduate, 2023) and Marialuna Loffredo (Politecnico di Torino). All three finalists gave great presentations at the RFD Tech Summit in London, May 2025, that demonstrated a high international level and […]
EAGE Digital 2025 presentations in Edinburgh
GeoDataScience & UQ group of Heriot-Watt University presents a number of talks at #EAGE Digital in Edinburgh: – “AI-based Reservoir Modelling Workflows – an Illustrative Overview” by Vasily Demyanov. Quentin Corlay, Athanasios Nathanail, Chao Sun Daniel Arnold on Tue Mar 25th, at 11:50am, Lammermuir 2, Session on AI-Powered Earth Model Building: From Data to Digital Twins. – […]
pta-learn: PTA pattern recognition Python library release
A PTA pattern recognition tool – pta-learn Python library – is released as an open-access outcome of AutoWell: Automated Well Monitoring and Control collaboration project between NORCE, University of Stavanger (UiS) and Heriot-Watt University (HWU). pta-learn is designed to automate detection key flow regimes based on PTA data, such as radial flow – and pinpointing the […]
Vitaly Starikov nominated for the Best Sustainability-Led Business Idea Award with AI Methane Tracker
AI Methane Tracker led by Vitaly Starikov has been nominated for the Best Sustainability-Led Business Idea Award and ranked among the top 13 out of 580 innovators in the Global Innovation Challenge 2024 by Heriot-Watt GRID. This recognition comes with instrumental funding to support our growth and scale-up journey. Follow the full Heriot0-Watt story
PhD projects open for application with Iapetus Doctoral Training Partnership
GeoDataScence group is involved in PhD projects short-listed by Iapetus Doctoral Training Partnership open for applications: Modelling Natural Hydrogen systems using Agent Based modelling (IAP-24-121) supervised by Dr Daniel Arnold (HWU), Dr Simon Gregory (BGS), Prof Vasily Demyanov (HWU), Dr Uisdean Nicholson (HWU) In this project, we aim to pioneer a novel tool for natural […]