Blar i Artikler, kapitler og presentasjoner fra NORCE Energi og teknologi på forfatter "Alyaev, Sergey"
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Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning
Alyaev, Sergey; Elsheikh, Ahmed (Peer reviewed; Journal article, 2022)Geosteering of wells requires fast interpretation of geophysical logs which is a non-unique inverse problem. Current work presents a proof-of-concept approach to multi-modal probabilistic inversion of logs using a single ... -
Ensemble-Based Well-Log Interpretation and Uncertainty Quantification for Well Geosteering
Jahani, Nazanin; Ambia Garrido, Joaquin; Alyaev, Sergey; Fossum, Kristian; Suter, Erich Christian; Torres-Verdin, Carlos (Peer reviewed; Journal article, 2022)Hydrocarbon reservoirs are often located in spatially complex and uncertain geologic environments, where the associated costs of drilling wells for exploration and development are notoriously high. These costs may be reduced ... -
An interactive sequential-decision benchmark from geosteering
Alyaev, Sergey; Ivanova, Sofija; Holsaeter, Andrew Martin; Bratvold, Reidar Brumer; Bendiksen, Morten (Peer reviewed; Journal article, 2021)During drilling, to maximize future expected production of hydrocarbon resources, the experts commonly adjust the trajectory (geosteer) in response to new insights obtained through real-time measurements. Geosteering ... -
A numerical study of flow field and particle deposition in nasal channels with deviant geometry
Thune, Eveline Løvaas; Kosinski, Pawel Jan; Balakin, Boris; Alyaev, Sergey (Peer reviewed; Journal article, 2021)Deviant geometry of nasal channels results in significant changes to nasal aerodynamics that alter flow resistance, sensation, and the ability to filter aerosols. The invasive, operative modification of nasal geometry might ... -
Probabilistic model-error assessment of deep learning proxies: an application to real-time inversion of borehole electromagnetic measurements
Rammay, Muzammil Hussain; Alyaev, Sergey; Elsheikh, Ahmed (Peer reviewed; Journal article, 2022)The advent of fast sensing technologies allow for real-time model updates in many applications where the model parameters are uncertain. Once the observations are collected, Bayesian algorithms offer a pathway for real-time ... -
Verification of a real-time ensemble-based method for updating earth model based on GAN
Fossum, Kristian; Alyaev, Sergey; Tveranger, Jan; Elsheikh, Ahmed H. (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 ...