- 2nd GeoDataScience group open on-line research industry dissemination day, May 2022
- 1st GeoDataScience group open on-line research industry dissemination day, Feb 2021
- Conference talks
- Open lectures
- Feature Extraction and Pattern Recognition in Time-lapse Pressure Transient Responses – IGE GeoEnergy seminar series
- Academic course lectures
Detection of Geobodies in 3D Seismic using Unsupervised Machine Learning by Quentin Corlay (post viva), Heriot-Watt GeoEnergy seminar talk, February 2023
Conference presentations
AI-GMM, Exeter / EAGE 2024
Uncertainty in AI-based Reservoir Modelling Workflows – an Overview, V. Demyanov
https://www.youtube.com/watch?v=PVuI_Dc4rW8
ECMOR 2022, the Hauge, September 2022
History Matching And Uncertainty Quantification Of Reservoir Performance With Generative Deep Learning And Graph Convolutions, G. Shishaev
IAMG 2022, Nancy, September 2022
Uncertainty Quantification of depositional and structural properties with Generative Deep Learning and Graph Convolutions – Gleb Shishaev, Vasily Demyanov, Dan Arnold
AAPG ICE 2022, March 2022
Agent-Based Modeling for Secondary Hydrocarbon Migration – A Wessex Basin Case Study, by A. Kreiensiek*, Q. Corlay, B. Steffens, T. Wagner, V. Demyanov
Theme 1 – Petroleum Systems
EAGE 2021 Annual Conference talks:
“GAN learning complex fluvial facies distribution from process-based modelling”, by Chao Sun, Tuesday, October 19th, Digitalization & AI: Seismic Interpretation I session,
“Comparison of popular Generative Adversarial Network flavours for fluvial reservoir modelling”, by Chao Sun, Thursday, October 21st, Digitalization & AI: Reservoir and Wells session,
“The Importance of Blending Different Data Types to Train Machine Learning Classifiers for Sedimentary Structure Detection”, by Athanasios Nathanail, Wednesday, October 20th, Digitalization & AI: Quantitative Interpretation and Geology session
“Entropy-driven particle swarm optimization for reservoir modelling under geological uncertainty – application to a fractured reservoir”, by Bastian Steffens ,Thursday, October 21st, Static Geomodels session,
“Can agent-based modelling help to update conceptual geological models? – A fractured reservoir example” by Bastian Steffens at RING 2021 Annual meeting on Mon, 6th September, 2021
GeoDataScience group open on-line research dissemination day, Feb 2021
- Turbidite fan interpretation in 3D seismic data by point cloud segmentation using Machine Learning, by Quentin Corlay
- Machine Learning for sedimentary structure classification, by Athos Nathanail
- Modeling variations of complex geological concepts with Generative Adversarial Network (GAN) learning from process modelling , by Chao Sun
- How Generative Networks can help improve geological history matching, by Gleb Shishaev
- A workflow with dynamic screening assisted, automated fractured reservoir modelling, by Bastian Steffens
- Can agents model hydrocarbon migration? by Bastian Steffens & Quentin Corlay
Open Lectures
GeoEnergy seminar series talk by Vitaliy Stakirov
Pattern Recognition of PTA data
the talk presents the highlights of the work recently published in Geoenergy Science and Engineering – Feature Extraction and Pattern Recognition in Time-lapse Pressure Transient Responses, by V. Starikov, A. Shchipanov, V. Demyanov, K. Muradov, part of the AutoWell – Automated Well Monitoring and Control, PETROMAKS2 project.
accepted for publication at the Journal of Geoenergy Science and Engineering
How can we use Al techniques to support decisions making in subsurface activities
a lecture by Prof. V. Demyanov for ReFine webinar series, Newcastle University, June 2020.
Reservoir predictions under uncertainty: confidence and optimisation
V. Demyanov’s invited lecture at Moscow School of Economics, April 2021 (recording in Russian)
Machine learning for spatial geoscience data
by V. Demyanov, a talk at Jagiellonski University, 2020
Academic Course Lectures
Heriot-Watt