New business and operational models - bru21
New business and operational models
New business and operational models
Digitalization opens new possibilities both for developing new and for improving existing business and operational models. This implies either designing optimal work processes to adapt to increased use of digital technologies, searching for new ways to exploit digital technologies for more effective work processes, or taking part in the growth of new, innovative business ecosystems. Central to new, innovative systems are the interfaces between oil companies and suppliers, as well as within the supply chains. The overall aim of the projects under the heading «New business and operational models» is to develop new and applicable insights into the organizational challenges that companies must handle, if they shall be able to realize the potentials of new digital solutions in their value chains...read more
Program area team
- Per Morten Schiefloe, Prof. Sociology
- Eric Monteiro, Prof. Information Systems
- Mary Ann Lundteigen, Prof. Safety of Automation Systems
- Vidar Hepsø, Adj. Prof. Digitalization, Equinor
- Itishree Mohallick, PhD candidate
- Nataliia Korotkova, PhD candidate
- Mahdis Moradi, PhD candidate
- Rialda Spahic, PhD candidate
- Ramon Abritta Aigular Santos, PhD candidate
Digital transformation and organizational challenges
Professor Per Morten Schiefloe
The necessity of digital transformation is widely acknowledged throughout the oil and gas industry. When asking people in the industry about drivers and obstacles in realizing the potential of such a transformation, the unanimous answer, however, is that the main problems are organizational; coordination, internal silos, culture, mindsets. This video presents some preliminary findings.
Digital Relations and New Business Models
Sponsor: Technip FMC
Digital technologies have significantly altered the connectivity and flexibility in the business ecosystem. Improved collaboration and early customer engagement in the value chain
open new possibilities for network-based business models, increased efficiency and reduced costs. The main research questions in this PhD project are:
1) What new ways of collaboration in the complex value chain are made possible in the digital age?
2) What can facilitate or constrain the interand intra-organizational collaboration in the oil and gas value chain?
3) How can digital technologies assist in overcoming organizational silos?
4) What is the role of human-to-human and human-to-machine trust for digital transformation?
Project result: Transactive memory analysis on the role of digital technologies
Strategic corporate focus and socio-technical alignment are important to enhance knowledge collaboration in multi-disciplinary project groups
Remote operations and future operating models
PhD Candidate Rialda Spahic
Main Supervisor Mary Ann Lundteigen
Remote functions, such as remote control or remote monitoring, have been used for a long period for oil and gas production facilities, especially to control and monitor remote unmanned satellite platforms. More recently, we see increasing use of more advanced remote functions (e.g., remote operations, engineering and risk-based maintenance) over longer distances from production sites. Remote oper-ation is more than remote control, the operational model/concept is the key. This project will focus on identifying and analyzing the technical and organizational capabilities that need to be in place to succeed with this transformation. Relevant use cases will be identified and utilized actively as basis for the research. The project aims to strengthen the fact base for remote operation and future operating models.
Risk-informed Artificial Intelligence for Autonomous Subsea Pipeline Inspection
Collaboration and digital tools in early stage design of offshore facilities
Sponsor: Technip FMC
The empirical case in this project is a global leader on onshore/offshore, subsea and surface technologies for the petroleum industry. As an EPC (Engineering, Procurement and Construction) provider, the organization works with the concept development, feasibility studies and FEED (Front End Engineering and Design), as well as the production and installation of offshore infrastructures, such as pipelines and production facilities – EPC projects. The series of business operations from concept until delivery are in focus in this PhD project. The objective is to study the pattern of collaboration between the EPC provider and their customers (oil companies) and the exploitation of digital tools, in the parts of the value chain reaching from concept development to FEED.
From idea to discovery: information sharing and cooperation in the exploration value chain
PhD Candidate Mahdis Moradi
Main Supervisor Per Morten Schiefloe
Sponsor: Neptune Energy Norge AS
This project focuses on workflow, collaboration, use of digital tools and decision-making in the early phases of the exploration value chain. Important questions to be studied are: (1) participants, roles ,dependencies and interfaces, (2) drivers and barriers for collaboration, impacts of organizational contexts and surroundings, (3) networks, relations and trust between the companies involved, (4) data sharing, barriers for data sharing, strategies for improved data sharing, digital technologies for improving the work processes and risks associated with such technologies, (5) new business models and preconditions for innovation in the value chain.
Operation, maintenance and investment strategy for offshore energy hub
The integration of offshore wind power and O&G platforms offers environmental benefits. However, the intermittent wind power cannot provide scheduled and reliable power to the O&G platforms. An energy storage system can be needed. Uncertainties in wind and O&G production processes need to be accounted for. This project will integrate different sources and types of information (e.g., time series, images, results from numerical models based on finite elements approaches) into operations-oriented models, to devise novel control and health monitoring algorithms for the management of hybrid offshore energy hubs. The research will also tackle the techno-economic study of system design that considers both capital and operational costs, along with the possibility for economic benefits from fuel savings and CO2 emission reductions.