As productions expands in China, oil and gas companies are increasingly reliant on technology (including RFID and data analytics) to improve performance. Xerafy recently spoke with RFID Journal about the opportunities in this market.
Xerafy’s founder and CEO Dennis Khoo recently sat down for a lengthy interview with RFID Journal to discuss these applications, as well as the RFID opportunity in China’s oil and gas industry. The oil and gas industry is in the midst of a dramatic digital transformation, in which the use of analytics and real-time data are helping companies track and upgrade their field operations, improve inventory management, accelerate supply delivery, improve safety, and enhance asset management.
CNOOC’s primary objective was to improve the company’s ability to track the identity, integrity and lifecycle of each pipe
These capabilities are increasingly important in the Chinese oil and gas market, where extraction often happens in remote locations, harsh deserts, and mountainous or off-shore geographies. In these applications, RFID can provide a significant number of benefits, and Xerafy has recently announced a number of implementations in which its rugged RFID tags are being used to improve asset management and maintenance operations.
PetroChina is using Xerafy’s tags at its Xinjian oilfield to track thousands of pipes, while the China National Offshore Oil Corporation (CNOOC) is deploying more than 100,000 Xerafy Xplorer tags to track downhole drill pipes for its offshore drilling platforms. In both deployments, Xerafy’s tags will not only be used to improve asset tracking, but will also provide better data so that managers can make more informed business decisions.
A recent article published by Deloitte also points out the importance of data for predictive analysis and preventative maintenance: Oilfield managers and technicians increasingly are leveraging Internet of Things (IoT) sensors to connect in the cloud, and “incorporating machine learning and cognitive modeling capabilities in a more targeted way.”
According to Deloitte: “These systems understand and can predict equipment or down hole disruptions based on sensor-driven data. They understand which material shipments are on time, lagging behind or ahead of schedule, as well as weather conditions or other events that could impact delivery or productivity. The ability to monitor and optimize all assets globally, 24/7, is critical.”