Exploration & Production Training

The Online Design Ship Structures Training Course focuses on ship structure design principles and rules, including load determination, scantling determination, and design verification techniques. The course targets engineers and scientists involved in ship design, ship management, oil companies, classification societies, and shipbuilders.

The Online Upstream Training course provides upstream professionals with a comprehensive introduction to machine learning methods, focusing on data science and practical applications in reservoir engineering, geo-modelling, and petrophysics. Participants will gain hands-on experience in supervised and unsupervised learning, including deep learning and model explainability. The course aims to build confidence from scratch by explaining complex topics in simple terms and providing detailed guidelines for applying machine learning methods to solve real-world problems in the industry.

The Online Gas Lift System Training course covers the design, operation, diagnosis, and optimization of gas lift systems. It aims to provide participants with an understanding of gas lift methods, equipment, and troubleshooting techniques. The course structure includes 12 modules delivered over 4 days, combining live instructor-led training with self-directed learning. Designed for petroleum engineering or field staff, the course enables participants to perform gas lift design procedures, diagnose well performance issues, and optimize gas lift systems for production efficiency and reliability.

Online Pore Pressure Training aims to enhance understanding of pore pressure mechanisms for accurate predictions and evaluations. The course is designed for operational geoscientists, geologists, and geophysicists with well operation responsibilities.

The Online Windfarm UT Inspection Training is a 5-day virtual program focusing on ultrasonic testing (UT) of Wind Turbine steel structures according to DNV 0051 rules. The course covers calibration of flaw detectors, understanding weld types, accept/reject criteria, and simulation of steel procedures. It includes interactive exercises using the UTman Windows Simulator and concludes with a virtual trade test for certification. The training is instructor-led and aims to equip delegates with the necessary skills for UT inspection.

The Online Ultrasonic Weld Inspection Training is a 5-day remote course on Zoom providing an overview of ultrasonic weld inspection. It covers virtual flaw detectors, welds, defects, and visible ultrasound. Suitable for beginners in NDT preparing for PCN certifications, completion allows progression to the virtual Offshore Wind Inspector (UTman) course. The training includes topics such as acoustics, test equipment, transducer theory, practical testing methods, equipment calibration, and flaw analysis. Led by a PCN Level 3 Trainer, the course is CPD accredited.

The Online Metallic Material and Structures Training course consists of 4 lectures totaling 6 hours. It aims to introduce lightweight metallic materials and structures, covering material basics, manufacturing processes, design case studies, and recycling progress. The course targets Engineers, Operations’ managers, Applied Scientists, and Technologists involved in designing lightweight structures. Lectures are delivered by Professor Shouxun Ji, a renowned expert in lightweight materials and structures, focusing on developing advanced materials for various industries.

The Online Life Cycle Management Structure Training Course aims to provide a comprehensive understanding of life cycle performance management strategies for engineering structures. It covers deterioration mechanisms, inspection, diagnosis, repair technologies, and life-end strategies. The course targets engineers and scientists involved in structural design, offering a balance of theory and practice. Lectures by Dr. You DONG from The Hong Kong Polytechnic University cover topics such as infrastructure sustainability, deterioration modeling, risk assessment, and intelligent inspection. The course spans 2 days and includes lecture notes in advance.