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 […]
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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 […]
Invited lecture at the Moscow School of Economics
April 2021 Prof V. Demyanov gave an invited lecture at Moscow School of Economics reservoir predictions under uncertainty (recording in Russian)
A keynote talk at the KAUST Virtual Workshop Intelligent illumination of the Earth
June 2021 Prof V. Demyanov gave a keynote talk “What Can Algorithms Learn from Data & Knowledge to Make Better Reservoir Predictions?” at the KAUST Virtual Workshop Intelligent illumination of the Earth, 20th – 23rd June, 2021