13 citations · 25 across the 4 of their papers we have counts for
4 papers
Verification of a real-time ensemble-based method for updating earth model based on GAN
Kristian Fossum, Sergey Alyaev, Jan Tveranger +1
The complexity of geomodelling workflows is a limiting factor for quantifying and updating uncertainty in real-time during drilling. We propose Generative Adversarial Networks (GAN…
Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network
Sergey Alyaev, Jan Tveranger, Kristian Fossum +1
Quantitative workflows utilizing real-time data to constrain ahead-of-bit uncertainty have the potential to improve geosteering significantly. Fast updates based on real-time data…
Deep learning for prediction of complex geology ahead of drilling
Kristian Fossum, Sergey Alyaev, Jan Tveranger +1
During a geosteering operation the well path is intentionally adjusted in response to the new data acquired while drilling. To achieve consistent high-quality decisions, especially…
Ensemble-Based Well Log Interpretation and Uncertainty Quantification for Geosteering
Nazanin Jahani, Joaquin Ambia Garrido, Sergey Alyaev +3
The costs for drilling offshore wells are high and hydrocarbons are often located in complex reservoir formations. To effectively produce from such reservoirs and reduce costs, opt…