Data and Digital

Growth of Data and Digital Applications to Meet Technology Needs

A growing share of content (21%) of Operators technology plans deals with data & digital solutions, which are becoming integral part of many technologies across the asset lifecycle.

Facilities management has become the largest application area of data & digital at present according to Operators, overcoming digital solutions for exploration and asset development (wells, subsea and new facilities).


Data Digital

Reported Data & digital solutions have a wide range of objectives, from extending the reach of data acquisition (e.g. through the use of robotics and advanced sensors), to improving the value extracted from the data, through advanced modeling and analytics, visualisation and productivity enhancing tools.


Data & Digital sub-categories Examples
1. Data acquisition Monitoring sensors, visible and IR imaging, robotics and autonomous systems
2. Data systems Data architecture, inc. cloud
3. Modeling & Analytics Diagnostic and predictive models, machine learning
4. Visualisation & Interfacing From business analysis to virtual reality
5. Productivity & Safety enhancement From decision-support tools to automation
6. Connectivity Fibre, satellite, wireless

Data acquisition, modeling and analytics, and productivity tools are the three largest Data & digital sub-categories reported, however Operators attention is focused on every part of the digital spectrum.

Data and digital 2

Data & Digital technology trends

  • Data acquisition technologies are leveraging drones, robotics and underwater vehicles to further their reach and increase safety, avoiding operators to having to inspect dangerous areas (at height, confined space and/or subsea)
  • Further data acquisition is added to O&G installations by means of wireless sensors (eg. for condition monitoring) and greater use of wearable data tools (from tablet, to scanners and cameras) by the offshore workforce
  • Data systems architecture are being upgraded to cope with the much larger data sets, and need to connect across much wider groups of users (inside operators, and across suppliers)
  • There is a strong interest by operator in modeling and analytics tools to extract more value from the data.  Condition monitoring analytics and predictive maintenance are becoming widespread applications, whilst there are efforts to ramp up machine learning on different data sets, from exploration, to plant process optimisation, predictive maintenance and decommissioning planning
  • In data visualisation, operators are moving beyond operational real-time visualisation and performance dashboard, and introducing virtual and augmented reality, as well as the use of 3D models and digital twins for integrated data management and simulation
  • Productivity enhancement tools have strong focus on safety, with automatic identification of safety risk zones, and improvements in logistics operations. Other areas include enhancing efficiency and robustness of work planning and execution through having quality data timely available with the teams

Further detail on Data & Digital technologies in the Operator plans can be found in the tables at this link

Further Information


Functional Categories


The technologies referred to in this report are for illustrative purposes only and other technologies may be available. The OGA does not directly or indirectly endorse, recommend or guarantee any entity, product or technology referred to in this report.