This pre conference briefing day is designed to give in-depth insight into one of the most mature applications of machine learning in the oil and gas industry.
Superfluous scheduled maintenance and damaging unscheduled down time are two of the biggest preventable expenses for many oil and gas operations, especially in more remote areas.
The digitalization of the oil and gas industry has created new intelligent solutions to these issues through a combination machine learning, edge computing, IoT, drones and advanced analytics.
Register now to learn how technology has helped shift maintenance from reactive to proactive and how these solutions could save your operations money, time and human resources.
Topics to be discussed:
Joel D. Lindsey
Executive, Data & AI Market Unit Lead
Global Manager Drilling Performance & Maintenance Optimization
Cameron, a Schlumberger Company
Lead Data Scientist
Amir H. Behzadan
Associate Professor and Director of CIBER Lab
Texas A&M University
Abdulaziz Rajab Moshaweh
Senior Corrosion Engineer
Scientific Technical Services
Digital & Automation Research Engineer
Graduate Student and AI Enthusiast
Energy Partner Ecosystem Manager
9.00AM: PANEL: Ageing Machinery and Volatile Pricing – The Importance of Predictive Maintenance and a Proactive Approach to Maintenance in Maximizing Lifetime of the System and Components
10.00 AM: Predictive Maintenance and Reliability Strategies for the Oil and Gas Sector
10.30 AM: Developing Systems and Capabilities for Aligning Operations with Predictive Maintenance Programs
11.00 AM: Networking coffee break
11.30 AM: USE CASE: Predictive Maintenance: Real-time Monitoring Solution for Blowout Preventer Health Monitoring
12.00 PM: A Low-Cost Solution to a High-Cost Problem: Artificial Intelligence and Drones for Oil Spill Detection in RGB Data
12.30 PM: Networking lunch
1.30 PM: Fin Fan Failure and Replacement Prediction Tool
2.00 PM: Gaining Value from the Digitalization of the Maintenance Process
2.30 PM: Close of Focus Day
Who should attend: