BRU21 video newsletter#6 – New business and operational models

In her project Nataliia Korotkova is helping companies with complex organizations to achieve efficient collaboration and information sharing by properly leveraging digital tools.  She is working specifically in the Front-end stage where design, engineering and innovation meet. Nataliia is using several tools such as transactive memory learning, multifaceted trust, adoption of new technologies and knowledge reuse. TechnipFMC provides the use case and sponsors the project. Read and watch more videos from the New business and operational models newsletter here 

Project result:  Transactive memory analysis on the role of digital technologies

In this video, Nataliia Korotkova explains in detail the latest results of her research regarding knowledge collaboration using digital tools during a Front-End stage project. One of her findings is that strategic corporate focus and socio-technical alignment are extremely important to enhance knowledge collaboration in multi-disciplinary project groups She has many more interesting observations, so check the video out!

 

 

BRU21 video newsletter – Exploration Efficiency

BRU21 is NTNU’s Research and Innovation Program in Digital and Automation Solutions for the Oil and Gas Industry. It supports the digital transformation of the industry. Exploration Efficiency is one of the 6 program areas in the program. This video newsletter presents projects and selected solutions developed in BRU21. https://www.ntnu.edu/bru21/news

Veronica Torres – BRU21 research

Verónica Torres is a PhD student in BRU21 – NTNU’s Research and Innovation Program in Digital and Automation Solutions for the Oil and Gas Industry. She develops digital tools to efficiently organize and automatically analyze well log data. The objective is to increase data analysis efficiency in exploration workflows through modern computational methods, e.g. machine learning and artificial intelligence, combined with cross-disciplinary subsurface expertise.

This BRU21 project is sponsored by Aker BP ASA. Read more about BRU21 and Veronicas research here https://www.ntnu.edu/bru21/

Mathilde Hotvedt – BRU21 research

Mathilde Hotvedt is a PhD student in BRU21 – Norwegian University of Science and Technology (NTNU)’s Research and Innovation Program in Digital and Automation Solutions for the Oil and Gas Industry. She develops hybrid data-driven/mechanistic models to optimize oil and gas production. Conventional models based on physics laws often lack accuracy, but provide clear insight into the process. Models based on machine learning provide higher accuracy, but lack interpretability. The idea behind Mathilde’s project is to combine high accuracy, interpretability and computational efficiency of these types of models for efficient real-time optimization.
The project is a collaboration between BRU21/NTNU and Lundin Energy Norway. Read more about BRU21 here

IGP is awarded an EU project (MSCA-IF): Smart Proxy Models for Reservoir Simulation

The aim of this project is to develop a new strategy for establishing simple-to-use Smart Proxy Model (SPM) based on a combination of optimization, statistics and data-driven techniques. The smart proxy will reduce dramatically the run time needed in the different tasks related to reservoir simulation.

–  This project will create new pathways for reservoir simulation and system       analysis. We will perform cutting edge research in reservoir simulation field   using data science and analysis techniques and will replace the traditional   modeling efforts in the oil and gas industry, says Associate Professor, Ashkan   Jahanbani

The research project will promote collaboration among different research groups at Norwegian University of Science and Technology (NTNU) through NTNU’s Research and Innovation Program in Digital and Automation Solutions for the Oil and Gas Industry:  BRU21 (Better Resource Utilization in the 21st century).

– We believe that the proposed workflows can be adopted for other fields of   science and engineering which have similar calculability efforts, such as the   study of inverse problems, management of water resources and meteorology. In   addition, our results are transferrable to work in reducing carbon dioxide   emissions by development of SPM for Carbon Capture and Sequestration (CCS)   in geological formations and EOR techniques based on use of CO2.

Congratulations!

Ammar Ghanim has started as a PhD candidate at the Department

Ammar Ghanim has started as a PhD candidate at the Department. Ammar completed his B.Sc. in Geoinformatics and Geophysics and his M.Sc. in Geophysics from TU Bergakademie Freiberg in Germany. He completed his M.Sc. thesis titled «Probabilistic Pre-Stack Seismic Inversion Using PCube+ Algorithm: a Case Study from Onshore Nile Delta» in cooperation with Wintershall Dea. Ammar has just started as a PhD student at IGP and is currently working on a project titled «Automated facies classification through applying machine-learning to pre-stack seismic data». He is working in the BRU21 research programme. The PhD position is sponsored by Wintershall Dea. Read more about BRU21 here