BRU21: NTNU’s Research and Innovation Program in Digital and Automation Solutions for the Oil and Gas Industry. We mobilize multidisciplinary expertise across NTNU and, in cooperation with industrial partners, produce research results for novel technological and organizational solutions. The program consists of over 30 PhD and PostDoc projects supported by NTNU and 9 Oil and Gas and Technology companies. …read more

Video newsletters: In this series of newsletters we present BRU21 projects and selected results in the form of short videos covering each of the 6 program areas.

BRU21 program area: Drilling and Well
Digital and automation solutions for reduced cost, environmental footprint and increased safety of Drilling and Well operations

BRU21 aims to develop systems and methods which result in reduced well construction time and improved safety. We focus on digitalization of the drilling program, data-driven decision support, optimal use of measurements for decision support and optimization and automation technologies in general. …read more

BRU21 project: Applications of bismuth alloys in well completion and well plugging

BRU21 project: Investigating the properties of bismuth alloys in well completion and well plugging 

BRU21 project: Well integrity and lifecycle management data analytics approach 

BRU21 project: Digitalization of hole cleaning process (study of cuttings transport) 

BRU21 project: Digitalization/automation of life-cycle well integrity
Improving casing wear estimation and control through digitalization technologies

Project result: Real-time estimation of casing wear
New model that continuously estimates casing wear based on real-time drilling measurements

BRU21 project: Safe drilling in karstified carbonates
Detection of karsts and mitigation of risks while drilling in karstified carbonates

Project result: Drilling in karstified carbonates – early risk detection technique  
Detection of karstification objects from patterns in real-time drilling data

BRU21 project: Drilling data analytics    
Development and testing of data-driven methods for optimization of the drilling process
  

Project result: Real-time drilling optimization through continuous micro-testing
Automatic detection of formation properties and real-time optimization of the drilling process                     

BRU21 project: Real-time fault and symptoms detection in drilling operations with wired pipe
Multiphysics models and (Big) data analytics tools for taking the most of wired pipe data streams

NTNU Drillbotics team
Building and programming a rig for autonomous drilling of deviated wells.  NTNU student team sponsored by BRU21 and Equinor is in the finals of the international Drillbotics competition organized by SPE and pre-ranked #1 by the jury!

Digitalization of hole cleaning process
Sartika Dwi Purwandari is the candidate ....

Other BRU21 projects in Drilling and Well

• Automatic real-time surveillance of drill-string vibrations
• Intelligent data analytics for offshore well integrity and life cycle management