Latest Results
A Framework to Capture the Relationships in Drilling Data and the Propagation of Uncertainty
Connecting Multilayer Semantic Networks to Data Lakes: The Representation of Data Uncertainty and Quality
What can we learn after 10,000 geosteering decisions?
A General Framework to Describe Drilling Process States
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
Articles
Conference papers
Cristin Publication
A Framework to Capture the Relationships in Drilling Data and the Propagation of Uncertainty
Connecting Multilayer Semantic Networks to Data Lakes: The Representation of Data Uncertainty and Quality
What can we learn after 10,000 geosteering decisions?
A General Framework to Describe Drilling Process States
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
Strategic geosteering workflow with uncertainty quantification and deep learning: Initial test on the Goliat Field data
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
Enhancing Geosteering With AI: Integrating a Decision-Making Robot Into a Cloud-Based Environment and Benchmarking Against Human Experts
Limits of 3D target detectability of logging while drilling deep-sensing electromagnetic measurements from numerical modeling
What can we learn after 10000 geosteering decisions?
High-Precision Geosteering via Reinforcement Learning and Particle Filters
Adaptive Multidimensional and Multiresolution Inversion of Borehole Ultra-Deep Azimuthal Resistivity Measurements for 3D Imaging and Geosteering | Earthdoc
Demonstration of Seamless Interoperability for Automatic Drilling Management in a Multi-Vendor Context.
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
Demo: Chatbot for NCS well data
Decentralized Active Control of Distributed Damping Subs for Stick-Slip Reduction in Drilling
Automatic Online Classification of Drilling Activities
Workshop: Trusted AI in the age of generative AI and complex AI systems
Adaptive Quasi-Newton Inversion of Electromagnetic Induction Logs for Subsurface Imaging While Drilling
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
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
Trajectory Calculation for Complementing 3-D Well Path Planning in Geosteering Operations
Best Practices to Improve Accurate Time Stamping of Data at the Well Site
Drilling Data Quality and Uncertainty: Pathways to Value
Integrating Reinforcement Learning and Particle Filter for Enhanced Geosteering Decision-Making
Automatic calibration of systematic biases in directional drilling control for planar and non-planar curves
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
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
Improving predictive models for rate of penetration in real drilling operations through transfer learning
Exploring transfer learning for ROP prediction on the NCS
Interoperability of Real-Time Drilling Signals at the Rig Site: An Example Based on Mechanical Specific Energy
Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning
Finite-Difference Modeling of Deep-Sensing Borehole EM Measurements on a CPU/GPU Cluster
HPC and finite‐difference modelling of deep EM logs
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
Transfer Learning Approach to Prediction of Rate of Penetration in Drilling
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
A phenomenological transient model of bit foundering
Exploration of strategies to improve continual learning from irregular sequential drilling data
3-D induction log modelling with integral equation method and domain decomposition pre-conditioning
Inversion of Electromagnetic Induction Log in Anisotropic Media using an Adjoint Integral Equation Method
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
Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks
Drilling Process Modelling with Deep Learning: Towards ROP Prediction
Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network
3D Modeling and Inversion of Induction Logs. 2023 Highlights
Towards Real-Time 3D Modeling of Induction Logs Using an Integral Equation Method
GPU-accelerated integral equation method for 3D modelling of induction logs
Code Generation of Automatic Drilling Control System Functions with Embedded Verification and Validation Functionalities
Improvement of Reinforcement Learning Strategies of the Pluralistic Robot Validated in Competitive Geosteering
Towards Real-Time 3D Modeling of Induction Logs Using an Integral Equation Method
Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks
Enhancing the Detectability of Deep-Sensing Borehole Electromagnetic Instruments by Joint Inversion of Multiple Logs Within a Probabilistic Geosteering Workflow
Challenges of developing a geosteering AI Rosie
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
Drilling and Wells Interoperability Standards (DWIS)
Demonstration of Seamless Interoperability for Automatic Drilling Management in a Multi-Vendor Context
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
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
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
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
Ensemble-Based Well-Log Interpretation and Uncertainty Quantification for Well Geosteering
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
VDoorLocksmith show: Drilling Automation: toward Autonomous Drilling
Presentation of lab experimental setup developed in Distributed Drilling Control in 2021
Distributed Drilling Control: summary 2021
A Study Suggests Geosteers Often Miss the Target
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
Order Reduction of a Transient Model of Viscous Pressure Loss Gradient in Laminar Flow for Non-Newtonian Fluid Flowing in Circular Pipes
Presentations
Cloud-Free Question Answering from Internal Knowledge Bases: Building an AI for Drilling Applications
How to Explain Geology to a Robot? DISTINGUISHing Patterns for Optimal Geosteering Decisions
Improvement of Reinforcement Learning Strategies of the Pluralistic Robot Validated in Competitive Geosteering
Domain-adapted Embeddings Model Using Contrastive Learning for Drilling Text Data