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Benoit

Benoit Daireaux

Chief Scientist

beda@norceresearch.no
+47 51 87 56 73
+47 957 87 884
Tullins gate 2, 0166 Oslo, Norway

Benoit Daireaux

Division

Energy & Technology

Research Groups

Energy Modelling and Automation

More information about Benoit

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Projects

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Publications
Analysis of the Sources of Uncertainty in Geopressure Estimation While Drilling – 2023
Towards the Correct Interpretation of Real-Time Signals on the Well-Site – 2023
Automatic Determination of Drill-string Geometry for Numerical Drilling Models – 2023
Interoperability of Real-Time Drilling Signals at the Rig Site: An Example Based on Mechanical Specific Energy – 2023
On Transitions Functions Model for Decision-Making in Offshore Operations – 2022
DADPC: Demonstration of autonomous drilling in OpenLab and at Ullrigg test centre – NORCE Norwegian Research Centre 2022
Demonstration of Autonomous Drilling on a Full-Scale Test Rig – 2022
Development, Testing and Validation of an Adaptive Drilling Optimization System – 2021
Multi-Trajectory Hydraulic Model for More Accurate Geosteering Constraints – 2021
Autonomous Decision-Making While Drilling – Energies 2021
Drilling Data Hub – NORCE Norwegian Research Centre 2020
Statistical Determination of Bit-Rock Interaction and Drill String Mechanics for Automatic Drilling Optimization – 2020
Toward Seamless Interoperability between Real-Time Drilling Management and Control Applications – 2019
OpenLab: Design and Applications of a Modern Drilling Digitalization Infrastructure – Society of Petroleum Engineering 2019
Challenges and Solutions to the Correct Interpretation of Drilling Friction Tests – 2017
Use of Quantitative Risk Analysis Methods to Determine the Expected Drilling Parameter Operating Window Prior to Operation Start: Example From Two Wells in the North Sea – 2017
RT-Hub - Next Generation Real-time Data Aggregation While Drilling – 2017
Open drilling simulator for research, education and development of future drilling technology – Oil, Gas 2016
Insights Into the Physical Phenomena That Influence Automatic Gain/Loss Detection During Drilling Operations – SPE Drilling & Completion 2016
Towards Closing the Loop on Drilling Fluid Management Control – 2015
SPE-173858-MS Possibilities, Limitations and Pitfalls in Using Real-Time Well Flow Models During Drilling Operations – 2015
Principles and Sensitivity Analysis of Automatic Calibration of MPD Methods Based on Dual-Gradient Drilling Solutions – 2014
Toward Drilling Automation: On the Necessity of Using Sensors That Relate to Physical Models – SPE Drilling & Completion 2014
Developing Operational Procedures for Safe and Efficient Application of New Process Control Functionality on the Drilling Rig – 2013
Advanced Drilling Simulation Environment for Testing New Drilling Automation Techniques and Practices – SPE Drilling & Completion 2012
Early symptom detection based on real-time evaluation of downhole conditions: principles and results from several North Sea drilling operations – SPE Drilling & Completion 2012
From Machine Control to Drilling Control On the Necessity of Sensors which Relates to Physical Models – IEEE Instrumentation and Measurement Technology Conference. Proceedings 2012
Automation of Drawworks and Topdrive Management to Minimize Swab/Surge and Poor-Downhole-Condition Effects – SPE Drilling & Completion 2011
Modeling a drilling control system, as a Discrete-Event-System – 2011
Automation of Mud-Pump Management: Application to Drilling Operations in the North Sea – SPE Drilling & Completion 2011
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