Benoit Daireaux

Phone: +47 51 87 56 73
Mobile: +47 957 87 884
Email: beda@norceresearch.no
Office Address: Essendropsgate 3, 0368 Oslo, Norway

Projects

Project

DrillWell - Drilling and Well Centre for Improved Recovery

Publications

Toward Seamless Interoperability between Real-Time Drilling Management and Control Applications
2019
A Geosteeering Decision Support System that Balances Recovery and Drilling Risks
2019
Realtime multi-objective optimization of well trajectory under geological uncertainty
2019
OpenLab: Design and Applications of a Modern Drilling Digitalization Infrastructure
Society of Petroleum Engineering 2019
Real-Time Decision Making for Geosteering
2019
Drilling Data Hub
2018
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
Demo: Comparison of Transmission Options for Real-time Modelling in Drilling.
2017
Drilling Data Hub: Description
2017
Drilling Data Hub
2017
RT-Hub - Next Generation Real-time Data Aggregation While Drilling
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
Automated risk evaluation to support decision making during drilling operations: Case study on an ERD well
2016
Automatic Performance Analysis and Estimation of Risk Level Embedded in Drilling Operation Plans
2016
Automatic Performance Analysis and Estimation of Risk Level Embedded in Drilling Operation Plans
2016
Virtual Rig web demo
2016
Open Virtual Rig - Research and Education Collaboration between UFRJ and IRIS
2015
Open Drilling Simulator for research, education and development
2015
Towards Closing the Loop on Drilling Fluid Management Control
2015
Drilling Automation and Early Drilling Problem Detection
2015
SPE-173858-MS Possibilities, Limitations and Pitfalls in Using Real-Time Well Flow Models During Drilling Operations
2015
SPE-173858-MS Possibilities, Limitations and Pitfalls in Using Real-Time Well Flow Models During Drilling Operations
2015
Pre-implementation of an automation system on a North Sea platform: challenges and solutions
2014
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
Principles and Sensitivity Analysis of Automatic Calibration of MPD Methods Based on Dual-Gradient Drilling Solutions
2014
Developing Operational Procedures for Safe and Efficient Application of New Process Control Functionality on the Drilling Rig
2013
Precise Gain and Loss Detection Using a Transient Hydraulic Model of the Return Flow to the Pit
2013
Toward Drilling Automation: On the Necessity of Using Sensors That Relate to Physical Models
2013
nced Drilling Simulation Environment for Testing New Drilling Automation Techniques
2012
Early Symptom Detection Based on Real-Time Evaluation of Downhole Conditions: Principles and Results from several North Sea Drilling Operations
2012
An Early Warning System for Identifying Drilling Problems: An Example From a Problematic Drill-Out Cement Operation in the North-Sea
2012
Safe Mud Pump Management while Conditioning Mud
2012
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
A goal based approach on top of petri nets
2011
Automation of Mud-Pump Management: Application to Drilling Operations in the North Sea
2010
Automation of Drawworks and Topdrive Management To Minimize Swab/Surge and Poor-Downhole-Condition Effects
2010
Early Detection of Drilling Conditions Deterioration Using Real-Time Calibration of Computer Models: Field Example from North Sea Drilling Operations
2009