Presentations

Exploring transfer learning for ROP prediction on the NCS

​​Pacis, Wiktorski, Alyaev, Ambrus, Khosravanian et al. [2022]
[CRIStin database]

Geosteering results: It's time to understand where the bit is heading

​​Alyaev, Jahani, Fossum, Tveranger, Rammay et al. [2022]
[CRIStin database]

AI‐based multi‐modal prediction of stratigraphy to inform drilling performance

​​Alyaev, Ambrus, Jahani, and Elsheikh [2022]
[CRIStin database]

Predicting likely stratigraphy realizations from shallow logs with AI

​​Alyaev, Ambrus, Jahani, and Elsheikh [2022]
[CRIStin database]

Limits of detectability and resolution of deep-sensing borehole electromagnetic measurements from numerical modeling

​​Jahani, Torres-Verdin, and Hou [2022]
[CRIStin database]

GPU-accelerated integral equation method for 3D modelling of induction logs

​​Saputera, Jakobsen, Alyaev, Jahani, Eikrem et al. [2022]
[CRIStin database]

AI-based multi-modal interpretation of logs for ahead-of-bit probabilistic ROP prediction

​​Ambrus, Alyaev, Jahani, and Elsheikh [2022]
[CRIStin database]

Gamification of shallow geosteering

​​Alyaev [2022]
[CRIStin database]

What can we learn after 10000 geosteering decisions?

​​Cheraghi, Alyaev, Hong, Kuvaev, Clark et al. [2022]
[CRIStin database]

Real-time estimation of geological layers' profiles in an anisotropic environment while accounting for model-error: A case study on the Goliat field

​​Rammay, Alyaev, Bratvold, Larsen, and Saint [2022]
[CRIStin database]

Verification of a real-time method for updating the geosteering earth model based on GAN

​​Fossum, Alyaev, Tveranger, and Elsheikh [2022]
[CRIStin database]

Sequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method

​​Alyaev, Ambrus, Jahani, and Elsheikh [2022]
[CRIStin database]

Transfer Learning Approach to Prediction of Rate of Penetration in Drilling

​​Pacis, Alyaev, Ambrus, and Wiktorski [2022]
[CRIStin database]

On Transitions Functions Model for Decision-Making in Offshore Operations

​​Mihai [2022]
[CRIStin database]

Modeling and Analysis of Non-Rotating Damping Subs for Removing Torsional Vibrations in Drilling

​​Ambrus, Aarsnes, Cayeux, and Mihai [2022]
[CRIStin database]

Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks

​​Ambrus, Alyaev, Jahani, Pacis, and Wiktorski [2022]
[CRIStin database]

Distributed Drilling Control: summary 2021

​​Mihai [2021]
[CRIStin database]

Presentation of lab experimental setup developed in Distributed Drilling Control in 2021

​​Holsaeter [2021]
[CRIStin database]

An Ensemble-Based Solution for Automating Drilling Engineering: Application to Directional Surveying

​​Cayeux [2022]
[CRIStin database]

A Framework to Capture the Relationships in Drilling Data and the Propagation of Uncertainty

​​Cayeux [2022]
[CRIStin database]

Reinforcement learning ​for better geosteering decisions

​​Muhammad, Bratvold, and Alyaev [2021]
[CRIStin database]

HPC and finite‐difference modelling of deep EM logs

​​Jahani, and Torres-Verdin [2021]
[CRIStin database]

Drilling Process Modelling with Deep Learning: Towards ROP Prediction

​​Alyaev, Ambrus, Pacis, Jahani, Wiktorski et al. [2021]
[CRIStin database]

Geosteering for IOR: Results and further opportunities

​​Alyaev [2021]
[CRIStin database]

Deep learning for probabilistic inversion during geosteering

​​Alyaev, Elsheikh, Ambrus, and Jahani [2021]
[CRIStin database]

Sequential probabilistic multi-modal inversion and prediction with deep learning

​​Alyaev, Ambrus, Jahani, and Elsheikh [2021]
[CRIStin database]

Finite-Difference Modeling of Deep-Sensing Borehole EM Measurements on a CPU/GPU Cluster

​​Jahani, and Torres-Verdin [2021]
[CRIStin database]

Reducing 3D uncertainty by an ensemble-based geosteering workflow: an example from the Goliat field

​​Fossum, Alyaev, Suter, Tossi, and Mele [2021]
[CRIStin database]

Using generative adversarial networks for probabilistic predictions of complex geology ahead of drilling

​​Alyaev, Fossum, Tveranger, and Elsheikh [2021]
[CRIStin database]

Deep learning for prediction of complex geology ahead of drilling

​​Fossum, Alyaev, Tveranger, and Elsheikh [2021]
[CRIStin database]

Drilling Data Quality & Uncertainty

​​Cayeux [2021]
[CRIStin database]

Automatic Measurement of the Dependence on Pressure and Temperature of the Mass Density of Drilling Fluids

​​Cayeux [2021]
[CRIStin database]

Last updated: 2022-12-08 08:05:00 UTC