Browsing Artikler, kapitler og presentasjoner fra NORCE Energi og teknologi by Journals "Journal of Computational Science"
Now showing items 1-2 of 2
-
Improving predictive models for rate of penetration in real drilling operations through transfer learning
(Peer reviewed; Journal article, 2023)The rate of penetration (ROP) is a key performance indicator in the oil and gas drilling industry as it directly translates to cost savings and emission reductions. A prerequisite for a drilling optimization algorithm is ... -
Verification of a real-time ensemble-based method for updating earth model based on GAN
(Peer reviewed; Journal article, 2022)The complexity of geomodelling workflows is a limiting factor for quantifying and updating uncertainty in real-time during drilling. We propose Generative Adversarial Networks (GANs) for parametrization and generation of ...