In keeping with the latest developments across the oil and gas industry, Global Petroleum Show Exhibition and Conference will once again take a leadership position with the introduction of a dedicated digital oilfiield zone that covers a range of new technologies, including Artificial Intelligence, Deep Machine Learning, Edge Computing and Blockchain technology across the oil and gas industry.
With cutting edge start-ups, SME’s and tech-giants all involved with bringing about and accelerating the transition of the 4th industrial revolution, the advent of a second digital age is upon us and the time to adapt, adopt and implement the wave of new technological advances that will unleash unparalleled productivity and significantly boost performance, is now.
Why Digital Oilfield Zone?
- GLOBAL DIGITAL OILFIELD SOLUTIONS MARKET TO GROW TO $40 BILLION BY 2022
- Over the next 3 to 5 years 50% of oil and gas companies plan to spend more (36%) or signiﬁcantly more (14%) on digital technologies including cloud-enabled mobility, Big Data-powered analytics & Internet of Things (IoT).
- Digital Oilfield Zone offers a limited number of companies a unique opportunity to showcase their products putting their brand if front of key industry players & decision makers from 115 countries.
How digitalisation can benefit the oil and gas industry?
- Planning & Forecasting
On a macro scale, deep machine learning can help increase awareness of macroeconomic trends to drive investment decisions in exploration and production.
- Reduce the cost of risk
Artificial Intelligence can help optimise drilling operations by driving decisions such as direction and speed in real time, and it can predict failure of equipment such as semi-submersible pumps (ESPs) to reduce unplanned downtime and equipment costs.
- Well reservoir facility management
Artificial Intelligence can help to create tools that allow asset teams to build professional understanding and identify opportunities to improve operational performance. AI techniques can also be applied in other activities such as reservoir characterization, modeling and field surveillance. Fuzzy logic, artificial neural networks and expert systems are used extensively across the industry to accurately characterize reservoirs in order to attain optimum production level.
- Predictive maintenance
AI-powered software and sensor hardware enables us to use very large amounts of data to gain real-time responses on the best future course of action. With predictive analytics and cognitive security, for example, oil and gas companies can operate equipment safely and securely while receiving recommendations on how to avoid future equipment failure or mediate potential security breaches.
- Remote logistics
AI-enhanced drones can be used to deliver materials to remote offshore locations.
IT decision makers – CIO, CTO & CSO Developers & designers
Heads of innovation
Data analysts and scientists
Start-ups and innovators
Tech providers, Data Evangelists
Government representatives Consultants
IT students, AI Trainers
Machine Learning Engineers AI Interaction Designer Data
Robotics Process Analyst Digital Knowledge Manager Cognitive
AI Interaction Designer Chief AI Officers
Current Exhibitors Include: