ABERDEEN, 23-May-2016 — /EuropaWire/ — Wood Group today announced that it is collaborating with the Centre for Applied Data Analytics (CeADAR), located at University College Dublin (UCD), to launch a new data analytics capability to deliver significant savings for the energy and industrial sectors.
Wood Group Kenny (WGK) will work with CeADAR to develop predictive analytics for deployment particularly in the oil and gas industry. This will initially be targeted at brownfield engineering services and will strengthen WGK’s existing services in the area of measured data analysis.
By tracking the integrity of system components, the service already delivers significant savings to clients through problem detection and optimization, leading to reduced inspection, intervention and maintenance costs.
Bob MacDonald, CEO of Wood Group Kenny, said: “Maximising productivity is a strong focus, even more so in the current low oil price environment. The accelerated development and deployment of advanced analytics capabilities will provide a significant enhancement to our existing brownfield engineering service line in 2016. This specialist technical capability will allow Wood Group Kenny to handle data more efficiently and deliver a greater volume and variety of cost saving insights to our clients.”
CeADAR, funded by Enterprise Ireland and Industrial Development Authority (IDA) Ireland, is a market-focused technology centre for the innovation and application of big data analytics and visualization with industry partners. Led by UCD, in partnership with University College Cork and Dublin Institute of Technology, CeADAR specialises in accelerated development and deployment of technologies such as data management, predictive analytics, machine learning, real time analytics and visualisation.
CeADAR is headquartered at NexusUCD, the University’s Industry Partnership Centre.
Dr. Brian Mac Namee, Principal Investigator at CeADAR, said: “For CeADAR, working with Wood Group Kenny provides a great opportunity to apply the latest data analytics techniques to large, interesting, real world datasets, and to see this application make a difference to Wood Group Kenny’s business.”
For more information please contact Jason.email@example.com.
Note to Editors:
Wood Group is an international energy services company with around $6bn sales and operating in more than 50 countries. The Group is built on Core Values and has three businesses – Wood Group PSN, Wood Group Kenny and Wood Group Mustang – providing a range of engineering, production support and maintenance management services to the oil & gas, and power generation industries worldwide. Visit Wood Group at www.woodgroup.com and connect with us on LinkedIn and Twitter.
Wood Group Kenny solves complex technological challenges across the energy and industrial sectors. We provide solution independent project delivery, engineering and consulting services throughout the asset life cycle. This breadth of services, coupled with over 35 years’ industry experience, enables us to offer fit for purpose solutions for both the routine and highly complex challenges faced by our customers.
The Centre for Applied Data Analytics (CeADAR) is a market-led technology centre for the development, and deployment of data analytics technology and innovation.
The Centre’s work focuses on developing tools, techniques and technologies that enable more people, organisations and industries to use analytics for better decision making. The primary outputs are prototypes and demonstrators, along with state of the art reviews of data analytics technology, tools, and best-practice methodologies.
The Centre is the focal point of a thriving data analytics ecosystem delivering courses, seminars, conferences, and members’ networking events throughout the year. www.ceadar.ie
For more information please contact Micéal Whelan, University College Dublin, Communications Manager (Innovation), e:firstname.lastname@example.org, t: + 353 1 716 3712 or Dr Edward McDonnell, CeADAR, e: email@example.com.
For further information contact:
Wood Group Press Office
Tel: +44 (0) 1224 373026