Abstract
The oil and gas (O&G) sector depends on information analysis, making digital transformation vital. Industry-specific factors like environmental, regulatory, operational, and security challenges shape its tech adoption. This paper identifies and examines the barriers and drivers of digital transformation in O&G through a literature review and expert insights, leading to a questionnaire assessment. Interpretive Structural Modeling (ISM) was employed to create a structural model that illustrates the interactions between these barriers, helping experts understand how to achieve digitization within the industry. The questionnaire analysis identified the key barriers based on their RII values: “Experiments requiring significant time for validation of new technologies”, “Technical complexities of new technologies”, “Security concerns”, “Insufficient strategies”, and “Organizational culture and resistance to change”. The ISM indicated that the “Technical complexities of new technologies” and the “Lack of readily deployable technologies” are the most influential barriers. Addressing these is crucial for O&G companies to unlock digitalization potential.
| Original language | English |
|---|---|
| Article number | 6151 |
| Journal | Energies |
| Volume | 17 |
| Issue number | 23 |
| DOIs | |
| State | Published - Dec 2024 |
Bibliographical note
Publisher Copyright:© 2024 by the authors.
Keywords
- ISM
- barriers
- digital transformation
- drivers
- oil and gas
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Fuel Technology
- Engineering (miscellaneous)
- Energy Engineering and Power Technology
- Energy (miscellaneous)
- Control and Optimization
- Electrical and Electronic Engineering