Register
Technical
•
August 2, 2023
3:00 PM - 4:00 PM GMT
Harness IoT sensors & data tools in O&G industry for real-time data analysis. Mitigate risks & boost asset ROI through intelligent software utilization.
Oil & Gas
Production
About the Topic
IoT smart oil and gas sensors, when coupled with suitable software, have the potential to revolutionize the oil and gas industry by seamlessly integrating into the monitoring systems of large corporations. These sensors enable effective collaboration between upstream, midstream, and downstream businesses, facilitating a comprehensive approach to operations. By integrating field production profiles with subsurface, wellhead and surface equipment data with AI insights and the appropriate hardware operators can automatically and remotely optimize their production to maximize the ROI.
In this Event, we aim to provide an insightful overview of the available hardware + software vendors that specialize in integrating operations and field/well sensor data. By leveraging these hardware + software solutions, companies can optimize their production from their well through actionable valves, chokes, or artificial lift systems.
About the Innovator
MotoMecanica Argentina (MMA) and its US-based subsidiary, North American Automation (NAM), will join us to showcase their cutting-edge line of IoT devices. They will demonstrate how their innovative devices can maximize production, minimize emissions, and significantly reduce risk throughout the flowback, natural drive, and artificial lift stages of well production. The focal point of their presentation will be their remote well cycling device, which effectively utilizes AI and ML to optimize gas production.
About the Audience
This Event will be of great interest to operations engineers working on surface equipment and facilities, production engineers, planning engineers, reservoir engineers, and asset managers.
Event Insights
Fully autonomous systems are already in use for most Production tasks, with wellsite and tank monitoring as the main applications.
The main fear of operators is the potential risk for the environment if one of these unsupervised autonomous devices fails:
More success stories from other operators, along with more and better sensors and telemetry systems would convince operators to fully trust autonomous devices.