Click on the topics below to see the details of the topics that will be discussed:
Big data & cloud computing include data recording, storage, and processing, and now big data is used in the refinery sector for the estimation of the energy efficiency and to reduce the downtime, maintenance, and repair cost by using various models and analytics methods. it becomes necessary to have unique solutions and latest technologies discussed & showcased at ME Digital Refineries 2023 to deal with big data problem and issues faced by our sector.
Advances in process automation systems for oil refineries and petrochemical plants can also bring greater cyber security risks. These can include concerns about personnel safety, damage to expensive infrastructure, loss of production and negative impacts on company reputation. By understanding what contributes to the risk of a cyber incident, ME Digital Refineries 2023 will bring in experts and solutions for minimising safety concerns in the industry.
In the oil and gas industry, the promise of IoT applications lies not with managing existing assets, supply chains, or customer relationships but, rather, in creating new value in information about these. An integrated deployment strategy is key for O&G companies looking to find value in IoT technology. At MEDR 2023 we will explore ways to better Transform oil and gas strategies with the Internet of Things.
Blockchain can help transform supply chain networks in the refineries — and how blockchain can enable immutable, transparent, and auditable business transactions among participants and suppliers, distributors, and partners. An AI Refinery in not far, where human and technologies like artificial intelligence (AI) combine for the best results. This applied intelligence can fuel growth and value, but the industry is still trying to determine how to get there.
Data analytics, as an emerging trend, in the upstream and downstream oil and gas industry. Data analytics refers to a new technology which can be employed to handle large datasets which include six main characteristics of volume, variety, velocity, veracity, value, and complexity.
Petrochemical plants are as unique as they are complex. Refineries have long since discovered that dynamic simulation across units and processes in these complex environments is useful in several ways. Cloud technologies are being leveraged across industries – from retail to education and from financial services to manufacturing. However, their use in refinery plant simulation remains to be explored. At MEDR 2023, we will be discussing how can we advance using cloud.
MEDR 2023 will explore the adoption and scaleup of disruptive and multipurpose robotic technologies to deliver safer, cost-effective, and efficient inspection capabilities, emergency response, aerial mapping, project monitoring, security surveillance and environmental monitoring. We will showcase latest advancements in robotic equipments like UAV's with various sensors such as cameras, radiometric thermal sensors, optical gas imaging, hyperspectral, LiDAR and others.
Sensing technologies are critical to monitor various processes in petroleum production, from exploration, Enhanced Oil Recovery (EOR), well drilling, well completion, pigging, fracking, and refining, to decommissioning. Different modalities, including temperature, pressure, vibration, and strain/stress, are required to sense and monitor continuously in order to guarantee integrity of oil and gas production, storage and transport infrastructure onshore and offshore. Thus, the safety and reliability of oil production can be assured.
Embedding machine learning allows them to learn from their past experiences. This means that machines at a refinery can use past data to predict future events. These predictions could include equipment maintenance or future disruptions that may occur at the plant. One of the best uses of AI is enabling computers to optimize plant operations based on historical trends. The overall automation of refineries helps plant managers minimize downtime and provide better ROI.
Artificial intelligence and Analytics Team Leader
Digital Transformation Specialist
Senior Manager, (Digital Projects & Innovation)
Digital Transformation Manager
Senior Digital Solutions Specialist
Data (TBC) Scientist, Digital Transformation, Artificial Intelligence
Control and Automation Section Head
Vice President of Digital Transformation
Senior Vice President for IT & Digital Transformation
Saudi Electricity Company
Manager, Technology Enablement, Digital Transformation
Application and Digital Transformation Manager
Sadara Chemical Company
OT/ICS Information Security Specialist
Chief Information and Digital Officer
Head of Digital Strategy and Integration
Petroleum Development Oman
Data Science and Machine Learning Lead
Designed & Developed By Koala Digitale