04 October 2017


Venue: H1, Hill of Rubislaw, Aberdeen

Time: 07:30 to 13:00

The IoT revolution and new communication protocols offer increased connectivity and huge opportunity for offshore platforms; join us to hear what the implications are for you and your company. The event is designed for offshore companies of all sizes, but particularly those who haven’t had time to catch up on what already can be achieved, and SMEs who might be able to meet the needs of the sector. Attendees will have to opportunity to learn about internet based sensing technologies for offshore communications, including:

  • Non-intrusive sensing, e.g., retrofit/clamp on sensors that measure physical or chemical parameters from the infrastructure or equipment part
  • Intrusive devices for condition monitoring of systems
  • Portable/ autonomous devices including image acquisition and analysis and NDT instrumentation
  • Other IoT related technologies applicable to offshore environments

Featuring a number of speakers and interactive demo stands, attendees will have the opportunity to discuss topics further with the companies occupying the stands.


07:30 Breakfast served

08:00 Welcome (OGIC & CENSIS introductions) 

08:15 The enabling technology (Tampnet)

  • The North Sea fibre and microwave network
  • Roll out of 4G technology - regional coverage – on platform coverage

08:35 Market drivers: current technology and the needs of the oil and gas industry (OGIC)

  • Surface process monitoring
  • Platform integrity monitoring
  • Well monitoring

09:00 The Industrial Internet of Things. So what? (CENSIS)

  • The IoT-the key enabling technologies of today and the shape of the future
  • Going Wireless-options and trade-offs
  • No sensor, no data- the role of the sensor in an intelligent system
  • IoT platforms and dashboards
  • System security 

09:20 Vendor/SME introductions – opportunity introduce company and services

10:00 Coffee and demos

10:30 Data analytics, John McCall, RGU

10:50 Case Study 1: 

  • Monitoring specific equipment performance with data analytics on large data volumes

11:20 Case Study 2:

  • Monitoring overall process system performance with data analytics on large data volumes

11:40 Case Study 3: 

  • Mobile device enabled maintenance activity

12:00 Lunch and demos

13:00 Event closes