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 […]
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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
A PhD vacancy on UQ in geomechanics
A PhD vacancy in Uncertainty quantification of geomechanically sensitive reservoirs using physics infused machine learning. – CLOSED
GeoDataScience group PhD students won an international contest “Go with the flow”
Bastian Steffens and Quentin Corlay, Oil and Gas CDT students won agent-based modelling competition “Go with the flow”
GeoDataScience group open on-line research dissemination day
February 2021 GeoDataScience group Open on-line research dissemination day for industry and academia- over 70 participance from dozens of companies.V Demyanov co-chaired a session with Colin Daly on AI application case studies – successes and pitfalls at the AAPG 2nd Edition: Decision Based Integrated Reservoir Modeling,
GeoDataScience group gave a series of talks at Cairn Energy lunch & learn weekly seminar
March – April, 2021 Cairn Energy invited GeoDataScience group to give a series of talks at the company lunch & learn weekly seminar and receive a valuable industry feedback to advance forward on the research topics: How can Al techniques be used to support decisions making in subsurface activities, by V. Demyanov Turbidite fan interpretation […]