GeoDataScience & UQ at ECMOR 2026, Porto

GeoDataScience and UQ group presents 2 talks and a poster at ECMOR 2026 in Porto this year:

  1. An Iterative Local Minimum Approach for Parameter-Free Identification of Pressure Transients by Vitaliy Starikov co-authored by Anton Shchipanov (NORCE), Vasily Demyanov,  Khafiz Muradov (Heriot-Watt) in Machine learning and data-driven/hybrid methods session  on Friday, September 11, 9:00 AM – 10:40 AM.
    This work is one of many outcomes of the on-going AutoWell Consortium Project.
  2. Reconciling Core-Scale Permeability and Well-Test Transmissibility in Pre-Salt Carbonates Through Multi-Target Decision-Tree Modelling by Victor Souza  co-authored by Vasily Demyanov and Dan Arnold in Machine learning and data-driven/hybrid methods on Thursday, September 10, 1:50 PM – 3:30 PM
    This work is a part of Victor Hugo’s PhD project “
    Generative AI for UQ and dynamic data integration for carbonate fields” sponsored by Petrobras.
  3. Poster – Ensemble-Based Geosteering Under Uncertainty: A Coal-Seam Retrospective Case Study by Roman Baishev co-authored by Vasily Demyanov, Sam McDermott (Santos), Urav Patel (Rock Flow Dynamics) on Friday, September 11, 12:50 PM – 2:20 PM
    This work is a further development of Geosteering under uncertainty research theme extended from the earlier work in line with a newly founded JIP – reach out futher details.