Wednesday, September 11
Mohamed Al Mutawa
Manager, Operations Excellence Department Production Function
Digitalisation will rapidly change the way we work, which will impact the entire workflow from planning and delivering wells to monitoring and controlling wells and reservoirs. We will be introducing digital tools to current human workflows, which should aim at increasing the efficiency and accuracy of plans and of monitoring activities. The current plans will have to change and address that their output may be input for advisory systems for field operating personnel or the machine, which may be highly robotic. Latest developments in automation of rigs, but also wellheads and surface facilities suggest that we may rather plan for machines as seen in industrial CAD/CAM processes. Certain activities, e.g. the production of a well in the context of a reservoir and field may be highly automated and partly even autonomous. This will certainly change the way the workflow will be organised and human—machine interaction. Plans may be highly agile as planning, execution, learning, and the consequent update of the plan may take place in real-time. The amount of data will consequently increase significantly, and the human will have to be presented relevant information in new ways.
This session presents recent work in this area to show what is current state of the art in automation and gives and future outlook on possible digitalisation scenarios.
In this session, we will explore some of the opportunities new and future Industry 4.0 technology can deliver as practical applications in Middle East oil and gas. The session will cover some of the emerging approaches to solving these challenges with local examples.
The Industrial Internet of Things (IIoT) offers the promise of low cost sensor data from upstream, but also poses challenges in brownfields with little power and no WiFi or other communications infrastructure.
Artificial intelligence and machine learning have plenty of visibility at present, and the session will try to separate hype from reality with a review of the capabilities across the technology, and examples of real cases being introduced into oil and gas.
Where should the compute power for AI and ML reside—looking at the impact of different approaches and what is technically appropriate; from edge, to centre, to cloud, everything as a service, etc. and the advantages and challenges of each approach both from a cost, capability, and regulatory perspective.
New technology developments in acoustic communications, wired pipe, nano technology, and augmented reality promise improved operations and better metering, and how can they best be used in our environment?
Thursday, September 12
Dr. Ram Narayanan
Vice President, Thamama Subsurface Center, Technical Center
On many occasions the introduction of new technology can be shown to work but the adoption was poor or not at all. How do we ensure that technology is effectively used by our teams?
One of the biggest impacts of IR 4.0 on our industry will be on people and organisations. As we work to absorb and generate value from the wide range of new technologies and solutions being deployed, our people and organisations will have to change to facilitate new working practices. From early employment skills development to re-skilling older staff and building new organisational models, there are many fundamental changes to our work and organisations we will need to make.
In this session, we will consider the issues affecting the changes to recruiting, work processes, the need for organizations to become agile and capable of scaling new solutions, as well the changing skillsets we see being needed to thrive in the IR4.0 world.
As next generation, smarter assets are deployed, oil and gas companies will continue to evolve their operations and processes to ensure technology is helping them to run the safest, most cost-effective and productive assets possible.
Data will be collected from everywhere including the ever growing number of ‘smart’ IoT devices. It will be visualised and proactively analysed, sent to executives for review and management reporting, shared with third parties for greatly enhanced operations, and streamed into any of the variety of ‘big data’ analytics platforms that are now appearing for even more advanced analysis or predictive insight into the true health and performance of assets and equipment.
In this session, we will explore how vast quantities of data can now be collected and processed as close to real-time, increasingly triggering automated responses and workflows across our operating assets. We will explore different types of analysis, including high performance streaming analytics and advanced A.I. and machine learning in the cloud.
Alongside all the benefits that this analysis and automation can bring we will also explore some of the challenges that companies may have to consider. We will investigate some of the best practices around industrial data management and cyber security and look at how to ensure our data strategies protect our critical infrastructure.
Speakers will share experiences and invite discussions from the audience on any examples of where companies have successfully overcome the challenges of data analytics, IoT, automation, and cloud computing within their own organisations.