The digital learning ecosystem An efficient management approach to capability development, delivering smarter teams, improved productivity and better business outcome for the managers.
Bridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
The digital learning ecosystem Digitally and seamlessly connecting you, the learner, with pertinent learning objects and related technologies ensuring systematic, engaging and continued learning.
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Best Outreach Program Finalist: WorldOil Awards
Overall Customer Satisfaction Score
Training provider of the year: 2013, 14 and 15
Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableUpstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
The digital learning ecosystem Digitally and seamlessly connecting you, the learner, with pertinent learning objects and related technologies ensuring systematic, engaging and continued learning.
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Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableUpstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
Develop measurable skills and capabilities
This course will present the methods for obtaining values of reservoir fluid properties from laboratory data and correlations. Chemical properties of hydrocarbons, conventional laboratory PVT (Pressure-Volume-Temperature) tests and quality control will also be covered. Participants will learn about phase diagrams, mixing rules, EOS, EOS tuning, and fluid properties while attending this course. Each day participants will be given examples and problems to solve.
This course will help participants gain a better understanding of the relationship between the five reservoir fluids and how to manage problem concerning reservoir fluid properties with increased confidence.
Fundamentals of PVT (Pressure-Volume-Temperature)
On the first day of the course, participants will learn about the basic fundamentals of PVT analysis, along with object of PVT analysis and the hydrocarbon chemistry. Phase behavior of single and multi-component systems will be covered. Miscibility concept and minimum miscibility pressure will also be covered. The day will end with a discussion on type of reservoir fluids.
Day 2PVT Fluid Properties, Reporting and Evaluating
The day will start with learning the equations of states for ideal and real gases and PVT properties of natural gas. Participants will discuss the conventional experimental procedures used to generate PVT data such as constant volume depletion and differential liberation. The day will end with participants learning about the PVT reports and evaluation of the reported data and their application.
Day 3Development of Equation of State (EoS) Models
Day three will start with black oil correlations and then will focus on Equations of State (EoS). Participants will learn about the Development of the EoS models along with the different types of EoS. Comparisons of EoS results, evaluation of phase boundaries and flash equilibrium with EoS, K-value correlations and the tuning of EoS will also be covered. Other topics that will be discussed on this day include, volume translation concepts for improved volumetric predictions using EoS, compositional gradients and variation, and compositional processes.
Day 4Tuning and Data Requirements
Tuning and data requirements will be the main focus on this day. Qubic EoS and its solution will be discussed first. Then the participants will learn how fugacity and K-value evaluations are done from an EoS. The day will end with an EoS tuning example.
Day 5Oil Field Applications
The last day of the course will cover examples on surface separator calculations, phase properties of gas hydrates and their correlations. The day will end with participants learning about the properties of oilfield waters.
Operations, production, and reservoir engineers.
Participants should have a degree in engineering or science and some experience in the petroleum industry.
Customize your own learning journey and track your progress when you start using a defined learning path.