Predictive maintenance in advanced asset management
Monitoring and predictive analytics application to anticipate failures and improve the performance of critical industrial assets.
All Antonio Zavarce publications
Keys to Cathodic Protection in marine and deepwater environments
The design of the system depends on the coating, soil resistivity and type of structure to be protected.
How Location Classes Optimize Pipeline Integrity Management
Recent advances that improve the operation of hydroelectric plants through automation, intelligent monitoring and digital systems.
The critical role of API standards in the petroleum industry
Compliance with API standards reduces operational risks and improves the integrity of oilfield equipment.
Nano-resilience: Transforming corrosion management in the oil industry
Nanotechnology applications allow the development of coatings that reduce corrosion rates and extend the life of metal structures.
Reliability centered maintenance (RCM) training
MCC training strengthens asset management in companies seeking to increase reliability and optimize their resources.
Corrosion Under Insulation (CUI): The Silent Danger in Industry
Corrosion under insulation causes damage to equipment covered with insulating materials, caused by accumulated humidity, affecting several industries.
The Deepwater Horizon catastrophe: keys to training and education
On April 20, 2010, the world witnessed the Deepwater Horizon disaster in the Gulf of Mexico.
AI and automatic learning in decision making in the industry
Growing demand for renewable energy and fluctuating prices are driving the adoption of AI in the oil industry.
Pipeline protection: Mastering corrosion control & integrity management
Internal and external corrosion compromises the integrity and operational efficiency of industrial pipelines.
Green nanotechnology in petrochemicals: advancing sustainability
The use of metallic nanoparticles reduces toxicity and improves the efficiency of industrial processes in the petrochemical industry.
Asimo, Atlas, Ameca, Fedor and Sophia: the world’s most famous robots
The humanoid robots analyzed stand out for their mechanical and cognitive capabilities applied in industrial, social and research contexts.