Publications

  • Drilling Data Hub

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  • DrillTronics Heave Enablement. Technical description

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  • Drilling Data Hub: Description

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  • Demo: Comparison of Transmission Options for Real-time Modelling in Drilling.

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  • Automatic risk uncertainty estimation to support decision making during drilling operation planning: Case study on an ERD well

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  • RT-Hub: next generation real-time data aggregation while drilling

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  • RT-Hub - Next Generation Real-time Data Aggregation While Drilling

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  • 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 - SPE/IADC-184693-MS

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  • Insights Into the Physcial Phenomena That Influence Automatic Gain/Loss Detection During Drilling Operations

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  • DrillTronics Phase IV – Milestone 2 Wired Pipe Adaptation

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  • Automated risk evaluation to support decision making during drilling operations: Case study on an ERD well

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  • Automatic Performance Analysis and Estimation of Risk Level Embedded in Drilling Operation Plans

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  • Automatic Performance Analysis and Estimation of Risk Level Embedded in Drilling Operation Plans

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  • Open Virtual Rig - Research and Education Collaboration between

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  • Open Drilling Simulator for research, education and development

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  • Possibilities, Limitations and Pitfalls in Using Real-Time Well Flow Models During Drilling Operations

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  • Towards Closing the Loop on Drilling Fluid Management Control

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  • Drill-string Mechanics: Analysis of Basic Forces

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  • Drill-string Mechanics: Analysis of Drill-string Deformations

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  • SPE-170330: Principles and Sensitivity Analysis of Automatic Calibration of MPD Methods Based on Dual-Gradient Drilling Solutions

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  • Principles and Sensitivity Analysis of Automatic Calibration of MPD Methods Based on Dual-

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  • Toward Drilling Automation: On the Necessity of Using Sensors that Relate to Physical Models

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  • SPE 166801; Precise Gain and Loss Detection Using a Transient Hydraulic Model of the Return Flow to the Pit

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  • Precise Gain and Loss Detection Using a Transient Hydraulic Model of the Return Flow to the Pit

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  • DrillTronics Logic Control

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  • Developing Operational Procedures for Safe and Efficient Application of New Process Control Functionality on the Drilling Rig

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  • Toward Drilling Automation: On the Necessity of Using Sensors That Relate to Physical Models

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  • Early Symptom Detection Based on Real-Time Evaluation of Downhole Conditions: Principles and Results from several North Sea Drilling Operations

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  • Advanced Drilling Simulation Environment for Testing New Drilling Automation Technique

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  • Suggested operational procedures for drilling with the DrillTronics system

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  • From Machine Control to Drilling Control

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  • Stiff Modelling: Literature Review

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  • Early Symptom Detection Based on Real-Time Evaluation of Downhole Conditions: Principles and Results from several North Sea Drilling Operations

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  • Advanced Drilling Simulation Environment for Testing New Drilling Automation Technique

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  • An Early Warning System for Identifying Drilling Problems: An Example From a Problematic Drill-Out Cement Operation in the North-Sea

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  • A Simple Machine in A Complex Environment: A Petri Net Approach

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  • A goal based approach on top of petri nets

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  • Modeling a Drilling Control System, as a Discrete-Event-System

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  • Automation of Mud-Pump Management: Application to Drilling Operations in the North Sea

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  • Automation of Drawworks and Topdrive management to Minimize Swab/Surge and Poor-Downhole-Condition Effects

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  • Automation of Mud-Pump Management: Application to Drilling Operations in the North Sea

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  • Automation of Drawworks and Topdrive Management to Minimize Swab/Surge and Poor-Downhole-Condition Effects

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  • Automated Drilling Pilot: Drilltronics Final

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  • Early Detection of Drilling Conditions Deterioration Using Real-Time Calibration of Computer Models: Field Example from North Sea Drilling Operations

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  • Early Detection of Drilling Conditions Deterioration Using Real-Time Calibration of Computer Models: Field Example from North Sea Drilling Operations

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  • Early Detection of Drilling Conditions Deterioration Using Real-Time Calibration of Computer Models: Field Example from North Sea Drilling Operations

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  • BlowFlow - a new tool within risk management

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  • BlowFlow – a New Tool Within Blowout Risk Management

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International Research Institute of Stavanger
Mailing address:
Visiting address:
P.O. Box 8046, N-4068 Stavanger, Norway
Prof. Olav Hanssensvei 15, 4021 Stavanger


Phone:
Fax:

+47 51 87 50 00
+47 51 87 52 00

General email address: firmapost@iris.no
International Research Institute of Stavanger
Mailing address:
Visiting address:
P.O. Box 8046, N-4068 Stavanger, Norway
Prof. Olav Hanssensvei 15, 4021 Stavanger


Phone:
Fax:

+47 51 87 50 00
+47 51 87 52 00

General email address: firmapost@iris.no
International Research Institute of Stavanger
Mailing address:



Visiting address:
P.O. Box 8046
N-4068 Stavanger
Norway

Prof. Olav Hanssensvei 15 
4021 Stavanger

 
Phone:
Fax:
General email:
+47 51 87 50 00
+47 51 87 52 00
firmapost@iris.no