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Presentations

DISTINGUISH from the depth of detection to the probabilistic distance of prediction

Alyaev
DigiWells Seminar [CRIStin database]

Automatic Well Planning: A New Paradigm For Automatic Well Path Generation Using Multidisciplinary Constraints

Cayeux
DigiWells Seminar 2023 [CRIStin database]

Integrating Reinforcement Learning and Particle Filter for Enhanced Geosteering Decision-Making

Muhammad, Srivastava, Alyaev, Bratvold, and Tartakovsky
DigiWells Seminar [CRIStin database]

Flowrate Out Sensor

Holsaeter
DigiWells Seminar 2023 [CRIStin database]

Automated Well Engineering

Cayeux
DigiWells Seminar 2023 [CRIStin database]

3D geological interpretation for geosteering of wells

Jahani
DigiWells Seminar 2023 [CRIStin database]

Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning

Alyaev, Elsheikh, Ambrus, and Jahani
SIAM Conference on Mathematical & Computational Issues in the Geosciences (GS23) [CRIStin database]

Exploration of Strategies to Improve Continual Learning From Irregular Sequential Drilling Data

Pacis, Wiktorski, Ambrus, and Alyaev
OMAE 42nd International Conference on Ocean, Offshore & Arctic Engineering [CRIStin database]

Towards Real-Time 3D Modeling of Induction Logs Using an Integral Equation Method

Saputera, Jakobsen, Jahani, Alyaev, Eikrem et al.
84th EAGE Annual Conference & Exhibition [CRIStin database]

SPE-DSATS DWIS: Drilling and Wells Interoperability Standards

Cayeux
Directional Drilling Digital Transformation Forum [CRIStin database]

Drilling Data Quality and Uncertainty: Pathways to Value

Cayeux, Macpherson, and Damski
SPE Webinar [CRIStin database]

The microservice architecture for scientific applications

Pelfrene
Open Source Drilling Community Technical Seminar Series [CRIStin database]

Interoperability of Real-Time Drilling Signals at the Rig Site: An Example Based on Mechanical Specific Energy

Cayeux
SPE/IADC Drilling Conference [CRIStin database]

Experimental Verification of Vibration Mitigation Through a Viscous Damping System Along the Drill String

Holsaeter
SPE/IADC Drilling Conference [CRIStin database]

Drilling Systems Automation: Fault Detection, Isolation and Recovery Functions for Situational Awareness

Cayeux
SPE/IADC Drilling Conference [CRIStin database]

A General Framework to Describe Drilling Process States

Cayeux
SPE/IADC Drilling Conference [CRIStin database]

Predicting likely stratigraphy realizations from shallow logs with AI

Alyaev, Ambrus, Jahani, and Elsheikh
NFES Monthly Technical Meeting [CRIStin database]

Quantifying depth of detection for deep-sensing borehole electromagnetic measurements

Jahani
Annual seminar SFI DigiWells [CRIStin database]

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

Alyaev, Jahani, Fossum, Tveranger, Rammay et al.
Annual seminar SFI DigiWells [CRIStin database]

Exploring transfer learning for ROP prediction on the NCS

Pacis, Wiktorski, Alyaev, Ambrus, Khosravanian et al.
Annual seminar SFI DigiWells [CRIStin database]

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

Alyaev, Ambrus, Jahani, and Elsheikh
Annual seminar SFI DigiWells [CRIStin database]

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

Ambrus, Alyaev, Jahani, and Elsheikh
Geosteering and Formation Evaluation Workshop by NORCE and NFES [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
Geosteering and Formation Evaluation Workshop by NORCE and NFES [CRIStin database]

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

Fossum, Alyaev, Tveranger, and Elsheikh
Geosteering and Formation Evaluation Workshop by NORCE and NFES [CRIStin database]

Gamification of shallow geosteering

Alyaev
Geosteering and Formation Evaluation Workshop by NORCE and NFES [CRIStin database]

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

Jahani, Torres-Verdin, and Hou
Geosteering and Formation Evaluation Workshop by NORCE and NFES [CRIStin database]

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

Saputera, Jakobsen, Alyaev, Jahani, Eikrem et al.
Geosteering and Formation Evaluation Workshop by NORCE and NFES [CRIStin database]

What can we learn after 10000 geosteering decisions?

Cheraghi, Alyaev, Hong, Kuvaev, Clark et al.
Geosteering and Formation Evaluation Workshop by NORCE and NFES [CRIStin database]

On Transitions Functions Model for Decision-Making in Offshore Operations

Mihai
2022 IEEE 17th International Conference on Control & Automation (ICCA) [CRIStin database]

Transfer Learning Approach to Prediction of Rate of Penetration in Drilling

Pacis, Alyaev, Ambrus, and Wiktorski
INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS) 2022 [CRIStin database]

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

Alyaev, Ambrus, Jahani, and Elsheikh
63d SPWLA Annual Symposium [CRIStin database]

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

Ambrus, Aarsnes, Cayeux, and Mihai
ASME 41st International Conference on Ocean, Offshore and Arctic Engineering [CRIStin database]

Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks

Ambrus, Alyaev, Jahani, Pacis, and Wiktorski
ASME 41st International Conference on Ocean, Offshore and Arctic Engineering [CRIStin database]

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

Cayeux
IADC/SPE International Drilling Conference [CRIStin database]

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

Cayeux
IADC/SPE International Drilling Conference [CRIStin database]

HPC and finite‐difference modelling of deep EM logs

Jahani, and Torres-Verdin
SFI Digiwells Annual Seminar [CRIStin database]

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

Holsaeter
DigiWells seminar series [CRIStin database]

Distributed Drilling Control: summary 2021

Mihai
DigiWells seminar series [CRIStin database]

Geosteering for IOR: Results and further opportunities

Alyaev
DigiWells seminar [CRIStin database]

Reinforcement learning for better geosteering decisions

Muhammad, Bratvold, and Alyaev
DigiWells seminar [CRIStin database]

Deep learning for probabilistic inversion during geosteering

Alyaev, Elsheikh, Ambrus, and Jahani
HPC, DEEP LEARNING, AND NUMERICS IN GEOPHYSICS [CRIStin database]

Sequential probabilistic multi-modal inversion and prediction with deep learning

Alyaev, Ambrus, Jahani, and Elsheikh
DigiWells demo [CRIStin database]

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

Fossum, Alyaev, Suter, Tossi, and Mele
3rd EAGE/SPE Geosteering Workshop [CRIStin database]

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

Alyaev, Fossum, Tveranger, and Elsheikh
Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology [CRIStin database]

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

Jahani, and Torres-Verdin
21st annual formation evaluation research consortium meeting [CRIStin database]

Deep learning for prediction of complex geology ahead of drilling

Fossum, Alyaev, Tveranger, and Elsheikh
ICCS 2021: INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE [CRIStin database]

Drilling Data Quality & Uncertainty

Cayeux
ISCWSA #53 Virtual Meeting [CRIStin database]

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

Cayeux
SPE/IADC Drilling Conference 2021 [CRIStin database]

Drilling Process Modelling with Deep Learning: Towards ROP Prediction

Alyaev, Ambrus, Pacis, Jahani, Wiktorski et al.
DigiWells seminar [CRIStin database]

Last updated: recently

Presentations

DISTINGUISH from the depth of detection to the probabilistic distance of prediction

3D Modeling and Inversion of Induction Logs.​ 2023 Highlights

6n Degrees of Freedom Transient Torque and Drag

6n DOF Transient Torque and Drag; Detailed Hydraulic Simulations

Drilling & Wells Interoperability

Taxonomy for Autonomous Drilling

Automatic Well Planning: A New Paradigm For Automatic Well Path Generation Using Multidisciplinary Constraints

Integrating Reinforcement Learning and Particle Filter for Enhanced Geosteering Decision-Making

Flowrate Out Sensor

Automated Well Engineering

3D geological interpretation for geosteering of wells

Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning

Exploration of Strategies to Improve Continual Learning From Irregular Sequential Drilling Data

Towards Real-Time 3D Modeling of Induction Logs Using an Integral Equation Method

SPE-DSATS DWIS: Drilling and Wells Interoperability Standards

Drilling Data Quality and Uncertainty: Pathways to Value

The microservice architecture for scientific applications

Interoperability of Real-Time Drilling Signals at the Rig Site: An Example Based on Mechanical Specific Energy

Experimental Verification of Vibration Mitigation Through a Viscous Damping System Along the Drill String

Drilling Systems Automation: Fault Detection, Isolation and Recovery Functions for Situational Awareness

A General Framework to Describe Drilling Process States

Predicting likely stratigraphy realizations from shallow logs with AI

Quantifying depth of detection for deep-sensing borehole electromagnetic measurements

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

Exploring transfer learning for ROP prediction on the NCS

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

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

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

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

Gamification of shallow geosteering

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

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

What can we learn after 10000 geosteering decisions?

On Transitions Functions Model for Decision-Making in Offshore Operations

Transfer Learning Approach to Prediction of Rate of Penetration in Drilling

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

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

Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks

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

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

HPC and finite‐difference modelling of deep EM logs

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

Distributed Drilling Control: summary 2021

Geosteering for IOR: Results and further opportunities

Reinforcement learning ​for better geosteering decisions

Deep learning for probabilistic inversion during geosteering

Sequential probabilistic multi-modal inversion and prediction with deep learning

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

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

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

Deep learning for prediction of complex geology ahead of drilling

Drilling Data Quality & Uncertainty

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

Drilling Process Modelling with Deep Learning: Towards ROP Prediction

3D Modeling and Inversion of Induction Logs. 2023 Highlights

Reinforcement learning for better geosteering decisions