Speaking at the World Oil and Gas Digitalization Virtual Summit, Girish Gopal reported on Shell’s 20 plus year history of work on in-vehicle driver monitoring. Driver fatigue is a major risk factor in the road traffic accidents that cause 1.35 million deaths per year. Fatigue increases the risk of an accident fourfold. An in-vehicle monitoring system (IVMS) can detect fatigue, record bad driving habits and help improve fuel consumption. Following early work on an IVMS in the 2000s, Shell’s effort went quiet until recently when new AI technology has rekindled research interest. Gopal’s team is working to build an AI-driven IVMS from ‘proven off-the-shelf’ components including multiple inward and outward facing cameras and leveraging road traffic and weather data feeds. The new system is designed, inter alia, to combat data manipulation that has occurred in the past, leading to low confidence in trucking data from IVMS service providers. Machine vision and AI analyzes driver behavior patterns to derive a ‘complexity index’ of driving situations and extreme events that can be used in driver training.
Alex Robertson described Petrofac’s approach to the successful prediction of project outcomes. Currently organizations are confronted by ‘too many dashboards’. Dashboard proliferation and fatigue has led to uncertainty as to what data can be trusted. Ideally a dashboard should present a user with ‘their three most important actions’. This means continuously improving the rule set and triggers, using AI/ML to better predict future outcomes. This means predicting safety incidents instead of just reporting them. By studying large and varied data, such a people on site, engineering activity, weather etc. it should be possible to send an automated warning that ‘today is a high risk day’ to all assets. Robertson gave a shout-out to the UK Engineering and Construction Training Board which is offering a project data analytics academy, a five month, part time training ‘for people like you and me, not IT folks!’ Another development of note is the Project Data Analytics Task Force which has just launched to ‘seize the immense opportunities enabled by project data and the power of analytical tools to, in five years, deliver a 10-fold improvement on project performance’.
Marc Lachaise presented Electricité de France’s (EDF) approach to contract management. EDF Group’s 250 contract professionals manage some 900 contracts of over 10 million Euros value. The marketplace is relatively new and suppliers may have a more mature contract culture that EDF. Teams were asking for a new tool for contract management. EDF has built its own system around, ‘Cemar’ a commercial contract event management reporting tool that supports New Engineering Contracts (NEC). The tool has been in use for five years at EDF’s Hinkley Point C new build twin EU pressurized water reactors. Wolters-Kluwer’s Legisway also ran.
Alejandro Lammertyn advocated ‘digital integration’ between customer and suppliers with a plug for Tenaris’ Rig Direct. Rig Direct is a constellation of applications spanning well planning, supply chain integration and well integrity. Customers include Pioneer, BP, Ecopetrol and others.
Wassim Ghadban presented Kent*’s ‘8D Digital Twin’ a.k.a. ‘Digital Asset 4.0’. The Digital Twin is billed as a system-of-systems with eight digital dimensions from metadata, through original format documents, models, scheduling, cost, real time data, live streaming, and ML/predictive. The DT can be delivered through HoloLens visualization, tablets, mixed/virtual reality and more. Use cases span FEED through ‘autonomous operations.’
* Kent recently completed its takeover of SNC-Lavalin’s oil and gas division.
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