Gleb Shishaev got the Best Remote Presentation Award at the International Association for Mathematical Geoscience Conference IAMG in September for his talk “Uncertainty Quantification of depositional and structural properties with Generative Deep Learning and Graph Convolutions” – a great achievement on his PhD path! Gleb could not get to Nancy to present in person as […]
Our News
Gleb Shishaev presents an e-poster on AHM with generative DL with graph convolutions at EAGE ECMOR 2022
History Matching And Uncertainty Quantification Of Reservoir Performance With Generative Deep Learning And Graph Convolutions Shishaev G, Demyanov V, Arnold D, Vygon R Generative deep learning is becoming a widely used approach in geological modelling, especially in problems that involve optimization processes under uncertainty like history matching. The basic idea of reservoir modelling and history matching by generative […]
GeoDataSciance group to present at IAMG 2022 in Nancy
GeoDataScience and UQ Group PhD students have been selected to give oral presentations at the International Association for Mathematical Geoscience (IAMG) 21st annual conference in Nancy. Honored to be part of a very high profile programme put together by the IAMG 2022 Scientific Committee. Thu Sep 1st Session 16 Reservoir/Petroleum Geostatistics S1601. Fast Detection of […]
Bastian Steffens PhD thesis successfully examined and signed off for graduation
Congratulations to Bastian Steffens, who successfully passed a PhD viva examined by Prof Insa Neuweiler (external), Dr Mark Bentley (internal) in April 2022 with the thesis Integrating geological uncertainty and dynamic data into modelling procedures for fractured reservoirs . The final corrections has now been approved and signed off for graduation and the thesis available for download. […]
2nd GeoDataScience and UQ group research dissemination on-line open day
9 May 2022: The programme for the day will offer a series of presentations across various aspects of machine learning applications to reservoir uncertainty modelling workflows: seismic interpretation, geological pattern recognition from outcrops, fluvial facies modelling with GANs, dynamic data integration into fracture reservoir modelling and multi-objective optimisation of reservoir production to tackle CO2 emission […]
Geoscience Meets Data Science – Workshop programme
The workshop will comprise of 4 morning sessions during February 14-17th in a hybrid format: the 3D component in Edinburgh and the online component hooked up via a conferencing platform. The workshop programme is now available. As well as the recordings of the 4 warm-up sessions, where the participants got to know one another discussing […]
Xeek “Go With the Flow” Tool Demo!
Xeek “Go With the Flow” Tool Demo! Bastian Stephens and Quentin Corlay will talk about their development at Xeek Demo day where attendees can learn how to use the tool for modelling HC migration and hear the story behind how it was developed through crowdsourcing. Date: Tuesday, December 14, 2021 Time: 9:00 AM CT / 3:00 PM […]
Geoscience Meets Data Science
Workshop Registration Heriot-Watt will host a Researcher Links workshop between early career researchers from the UK and Russia sponsored by the British Council, Scottish Alliance for Geoscience, Environment and Society and British Geological Survey. The workshop aims to bring together geoscientists and environmental scientists to engage with computer scientists to get more interaction between data […]
Presentation at Geomechanics Initiative group meeting
Dan Arnold gave a talk at the Geomechanics Initiative (GIN) group meeting to introduce a new joint industry consortium proposal “Uncertainty quantification of geomechanically sensitive reservoirs using machine learning” to the network of oil companies. OMV already joint the consortium and there are more companies interested.
B. Steffens to give a talk on conceptual geological model update
Bastian Steffens gave a talk “Can agent-based modelling help to update conceptual geological models? – A fractured reservoir example” at RING 2021 Annual meeting on Mon, 6th September at 14:35 – 15:00 CET