Latest Results
Domain-adapted Embeddings Model Using Contrastive Learning for Drilling Text Data
Decentralized Active Control of Distributed Damping Subs for Stick/Slip Reduction in Drilling
Assisting Directional Drilling by Calculating a Safe Operating Envelope
Enhancing information retrieval in the drilling domain : Zero-shot learning with large language models for question-answering
An Ensemble-Based Solution for Automating Drilling Engineering: Application to Directional Surveying
Automated Drilling Engineering: initial demonstration focused on directional drilling
A Framework to Capture the Relationships in Drilling Data and the Propagation of Uncertainty
Academic article
Decentralized Active Control of Distributed Damping Subs for Stick/Slip Reduction in Drilling
Assisting Directional Drilling by Calculating a Safe Operating Envelope
Connecting Multilayer Semantic Networks to Data Lakes: The Representation of Data Uncertainty and Quality
A General Framework to Describe Drilling Process States
Strategic geosteering workflow with uncertainty quantification and deep learning: Initial test on the Goliat Field data
Limits of 3D target detectability of logging while drilling deep-sensing electromagnetic measurements from numerical modeling
Adaptive Multidimensional and Multiresolution Inversion of Borehole Ultra-Deep Azimuthal Resistivity Measurements for 3D Imaging and Geosteering | Earthdoc
Probabilistic model-error assessment of deep learning proxies: An application to real-time inversion of borehole electromagnetic measurements
Clock Synchronization and Timestamping of Data on Acquisition at the Wellsite: Guidelines and Recommendations
Trajectory Calculation for Complementing 3-D Well Path Planning in Geosteering Operations
Automatic calibration of systematic biases in directional drilling control for planar and non-planar curves
Improving predictive models for rate of penetration in real drilling operations through transfer learning
Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning
Boundary Control and Estimation for Under-Balanced Drilling with Uncertain Reservoir Parameters
Transfer Learning Approach to Prediction of Rate of Penetration in Drilling
Evaluation of distributed damping subs with active control for stick–slip reduction in drilling
A phenomenological transient model of bit foundering
3-D induction log modelling with integral equation method and domain decomposition pre-conditioning
Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network
Enhancing the Detectability of Deep-Sensing Borehole Electromagnetic Instruments by Joint Inversion of Multiple Logs Within a Probabilistic Geosteering Workflow
Using the Quemada rheology model for drilling fluids - practical considerations
Automatic Measurement of the Dependence on Pressure and Temperature of the Mass Density of Drilling Fluids
Borehole Trajectory Modeling using Circular Arcs, Constant Curvature and Toolface, and Sections with Constant Build-up and Turn Rates
Ensemble-Based Well-Log Interpretation and Uncertainty Quantification for Well Geosteering
Overview of how the Calculation of Dynamic Temperature of Drilling Fluids is Closely Linked with Rheology
On the Sources of Errors in Rheological Measurements of non-Newtonian Fluids and the Interpretation of Yield-Power Law Rheological Model Parameters
Verification of a real-time ensemble-based method for updating earth model based on GAN
Self-Attenuation of Drillstring Torsional Vibrations Using Distributed Dampers
Numerical Study on the Effects of Particle Shape and Fluid Rheological Behavior on Material Transport
Academic chapter
Enhancing information retrieval in the drilling domain : Zero-shot learning with large language models for question-answering
An Ensemble-Based Solution for Automating Drilling Engineering: Application to Directional Surveying
A Framework to Capture the Relationships in Drilling Data and the Propagation of Uncertainty
What can we learn after 10,000 geosteering decisions?
A General Framework to Describe Drilling Process States
Drilling Systems Automation: Fault Detection, Isolation and Recovery Functions for Situational Awareness
Advancing Online Verification and Validation in Complex Multi-Providers Drilling Automation Systems
Enhancing geosteering with AI : Integrating a decision-making robot into a cloud-based environment and benchmarking against human experts
The Role of Semantic Networks in Mitigating Risk During Data Exchange in Multi-Disciplinary Well Construction
Analysis of the Sources of Uncertainty in Geopressure Estimation While Drilling
Demonstration of Seamless Interoperability for Automatic Drilling Management in a Multi-Vendor Context.
Decentralized Active Control of Distributed Damping Subs for Stick-Slip Reduction in Drilling
Automatic Online Classification of Drilling Activities
Best Practices to Improve Accurate Time Stamping of Data at the Well Site
Facilitating Directional Drilling Work to Reach the Target Entry by Calculating a Safe Operating Envelope
Active Control of Distributed Subs With Anti-Slip Logic for Torsional Vibration Damping in Drilling
Taxonomy Describing Levels of Autonomous Drilling Systems: Incorporating Complexity, Uncertainty, Sparse Data, With Human Interaction
Interoperability of Real-Time Drilling Signals at the Rig Site: An Example Based on Mechanical Specific Energy
Limits of 3D Detectability and Resolution of LWD Deep-Sensing Borehole Electromagnetic Measurements Acquired in the Norwegian Continental Shelf
Exploration of strategies to improve continual learning from irregular sequential drilling data
Inversion of Electromagnetic Induction Log in Anisotropic Media using an Adjoint Integral Equation Method
A New Paradigm for Automatic Well Path Generation Using Multidisciplinary Constraints
Towards Real-Time 3D Modeling of Induction Logs Using an Integral Equation Method
Code Generation of Automatic Drilling Control System Functions with Embedded Verification and Validation Functionalities
Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks
Automatic Measurement of the Dependence on Pressure and Temperature of the Mass Density of Drilling Fluids
Order Reduction of a Transient Model of Viscous Pressure Loss Gradient in Laminar Flow for Non-Newtonian Fluid Flowing in Circular Pipes
Sequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method
Improving Hole Cleaning by Using Distributed Damping Subs to Control Lateral Oscillations of the Drill-String
Experimental Verification of Vibration Mitigation Through a Viscous Damping System Along the Drill String
A Probabilistic Framework for the Risk-Based Evaluation of Drilling Plans
Drilling Automation: Revisiting the Digital Drilling Program
Modeling and Analysis of Non-Rotating Damping Subs for Removing Torsional Vibrations in Drilling
Calibration and Prediction Improvement of Decline Curve Models While Accounting for Model Error
Conference lecture
Domain-adapted Embeddings Model Using Contrastive Learning for Drilling Text Data
Automated Drilling Engineering: initial demonstration focused on directional drilling
Enhancing Geosteering With AI: Integrating a Decision-Making Robot Into a Cloud-Based Environment and Benchmarking Against Human Experts
What can we learn after 10000 geosteering decisions?
How to Explain Geology to a Robot? DISTINGUISHing Patterns for Optimal Geosteering Decisions
Cloud-Free Question Answering from Internal Knowledge Bases: Building an AI for Drilling Applications
Workshop: Trusted AI in the age of generative AI and complex AI systems
Limits of detectability and resolution of deep-sensing borehole electromagnetic measurements from numerical modeling
Real-time estimation of geological layers' profiles in an anisotropic environment while accounting for model-error: A case study on the Goliat field
Drilling Data Quality and Uncertainty: Pathways to Value
Integrating Reinforcement Learning and Particle Filter for Enhanced Geosteering Decision-Making
Reinforcement learning for better geosteering decisions
Demo: Chatbot for oil and gas data
Optimizing Sequential Decisions in Geosteering: Reinforcement Learning vs Human Experts in Fast-Paced Uncertain Environment
Exploring transfer learning for ROP prediction on the NCS
Finite-Difference Modeling of Deep-Sensing Borehole EM Measurements on a CPU/GPU Cluster
HPC and finite‐difference modelling of deep EM logs
Transfer Learning Approach to Prediction of Rate of Penetration in Drilling
Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks
Drilling Process Modelling with Deep Learning: Towards ROP Prediction
3D Modeling and Inversion of Induction Logs. 2023 Highlights
Improvement of Reinforcement Learning Strategies of the Pluralistic Robot Validated in Competitive Geosteering
A Framework to Capture the Relationships in Drilling Data and the Propagation of Uncertainty
Autonomous drilling: example of an AI system in practice
The Role of Semantic Networks in Mitigating Risk During Data Exchange in Multi-Disciplinary Well Construction
Flowrate Out Sensor
Automatic Well Planning: A New Paradigm For Automatic Well Path Generation Using Multidisciplinary Constraints
Automated Well Engineering
Demonstration of Seamless Interoperability for Automatic Drilling Management in a Multi-Vendor Context
6n Degrees of Freedom Transient Torque and Drag
The microservice architecture for scientific applications
Automatic Measurement of the Dependence on Pressure and Temperature of the Mass Density of Drilling Fluids
Trajectory Calculation for Complementing 3-D Well Path Planning in Geosteering Operations
Numerical Study on the Effects of Particle Shape and Fluid Rheological Behavior on Material Transport
Advancing Online Verification and Validation in Complex Multi-Providers Drilling Automation Systems
Drilling Automation: toward Autonomous Drilling
On Transitions Functions Model for Decision-Making in Offshore Operations
Drilling Systems Automation: Fault Detection, Isolation and Recovery Functions for Situational Awareness
Improving Hole Cleaning by Using Distributed Damping Subs to Control Lateral Oscillations of the Drill-String
Trust and safety in the context of complex AI systems: challenges related to verification and validation
Presentation of lab experimental setup developed in Distributed Drilling Control in 2021
Distributed Drilling Control: summary 2021
An Ensemble-Based Solution for Automating Drilling Engineering: Application to Directional Surveying
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
How digitalization and automation will shape the future of drilling operations
Case Study: Drill String Vibration in Vertical Section
Borehole Trajectory Modeling using Circular Arcs, Constant Curvature and Toolface, and Sections with Constant Build-up and Turn Rates
Geosteering results: It's time to understand where the bit is heading
A General Framework to Describe Drilling Process States
Geosteering for IOR: Results and further opportunities
Taxonomy for Autonomous Drilling
6n DOF Transient Torque and Drag; Detailed Hydraulic Simulations
Drilling Data Quality & Uncertainty
SPE-DSATS DWIS: Drilling and Wells Interoperability Standards
DISTINGUISH from the depth of detection to the probabilistic distance of prediction
From Automation to Autonomy: A Drilling Perspective
On the Sources of Errors in Rheological Measurements of non-Newtonian Fluids and the Interpretation of Yield-Power Law Rheological Model Parameters
Modeling and Analysis of Non-Rotating Damping Subs for Removing Torsional Vibrations in Drilling
Drilling & Wells Interoperability
DWIS ROP Optimization Demonstration and Presentation
Predicting likely stratigraphy realizations from shallow logs with AI
Verification of a real-time method for updating the geosteering earth model based on GAN
Deep learning for probabilistic inversion during geosteering
Drilling performance predicitons with drilling efficiency uncertainty (Demo in OpenLab Drilling)
Organizational Interoperability: 2022 final demonstration
Reducing 3D uncertainty by an ensemble-based geosteering workflow: an example from the Goliat field
Sequential probabilistic multi-modal inversion and prediction with deep learning
Sequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method
Using generative adversarial networks for probabilistic predictions of complex geology ahead of drilling
AI‐based multi‐modal prediction of stratigraphy to inform drilling performance
Deep learning for prediction of complex geology ahead of drilling
Demonstration of passive damping of vibrations in a lab experiment coupling rotational and axial movement
Organizational Interoperability: initial demonstration of a multi layered graph analysis architecture
Demo: Sequential prediction with noisy GR log and naïve ROP prediction
Automated Drilling Engineering: 2022 final demonstration focused on directional drilling
Distributed Drilling Control: initial demonstration
Conference poster
Interview
Lecture
High-Precision Geosteering via Reinforcement Learning and Particle Filters
Demo: Chatbot for NCS well data
Adaptive Quasi-Newton Inversion of Electromagnetic Induction Logs for Subsurface Imaging While Drilling
Exploration of Strategies to Improve Continual Learning From Irregular Sequential Drilling Data
Inversion of Electromagnetic Induction Log in Anisotropic Media using an Adjoint Integral Equation Method
Towards Real-Time 3D Modeling of Induction Logs Using an Integral Equation Method
Drilling and Wells Interoperability Standards (DWIS)
Quantifying depth of detection for deep-sensing borehole electromagnetic measurements
Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning