Search
Norsk
/ English
Employees
Research
Research Areas
Projects
Home
Employees
Research
Research Areas
Projects
Agenda
Events
Kunnskaps- og kompetansesentre
Testsentre og laboratorier
About us
Our locations
For the media
News
Insights
Search
Norsk
/ English
Benoit Daireaux Daireaux
Senior Researcher
Phone:
+47 51 87 56 73
Mobile:
+47 957 87 884
Email:
beda@norceresearch.no
Office Address:
Tullins gate 2, 0166 Oslo, Norway
Department
Energy & Technology
Cristin
Profile in Norwegian research database
Research themes
Digital drilling
News
Insight
28. Sep 2021
Autonomous drilling demonstrated – Breakthrough research and development on autonomous systems and AI at NORCE
Insight
30. Jun 2020
Significant contribution to Digital Drilling by NORCE
Projects
Project
Drilling Systems Interoperability Demonstrations
Project
6n Degrees of Freedom Transient Torque & Drag
Project
DrillWell - Drilling and Well Centre for Improved Recovery
Show all
Project
Demonstration of Automated Drilling Process Control
Publications
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