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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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 cover waterflooding and the distribution of immiscible fluids in a reservoir. During this course, participants will also learn about the process of immiscible displacement in a reservoir along with the waterflood pattern options and its effects on the selection and orientation of flood performance. Other concepts that will be covered include the prediction of waterflood performance by the application of classical waterflood predictions. Analytical techniques and linear fractional flow theory will be discussed. Participants will also be able to see a simulation of waterflooding.
Introduction to Waterflooding
Day one will focus on presenting the participants to waterflooding and helping them gain a general understanding of the subject. Effects of drive mechanisms on waterflooding will also be covered on this day.
Day 2Performance and Processes of Waterflooding
On this day participants will learn about rock properties and what effect they can have on waterflooding. They will also learn about the drainage process and capillary pressure. Production performance in the understanding of reservoir and well behavior by studying produced fluid ratios (WOR, GOR, GLR) will also be covered.
Day 3
Flow Theory and Analysis Methods
Day three of this course will introduce participants to displacement processes and the linear fractional flow theory. Analytical methods such as Buckley-Leverett frontal advance model and Weldge prediction method will be covered. Analysis of the waterflood pattern mobility ratio and pattern configuration will also be discussed. The class will end with participants learning about the waterflood performance efficiencies and predictions.
Day 4Analytical and Prediction Methods
Day four will continue the discussion on analytical and prediction methods. Stiles, Craig-Geffen-Morse, and Dykstra-Parsons are a few methods that will be covered on this day.
Day 5
Simulations and Field Examples
The last day of this course will include simulations of two types of waterflooding, reservoir simulator and small/large scale models for calibration. The course will end with several waterflooding field examples.
Engineers being asked to evaluate the economics, production potential, and waterflood design for reservoirs that will be waterflooded or are potential waterflood candidates.
None.
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