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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Develop measurable skills and capabilities
This course is a Remote Instructor Led Series (RILS) training. The remote classroom delivery is a modality that takes advantage of the instructor led training content, while allowing the same content to be delivered remotely.
All training sessions will be delivered online with no face-to-face classroom attendance. This class will b...
...moreModule 1: Siliciclastics
Exercises: Seismic and Well-log correlation – the power of depositional systems predictability. Seismic sequence elements delineation.
Module 2: Siliciclastics
Exercises: Seismic sequence elements delineation, methodology & forced regression recognition.
Module 3: Siliciclastics
Exercises: High Frequency delineation. Relative sea-level interpretation methodology.
Module 4: Carbonates
Exercise: Intra-slope methodology applications - unconformity recognition
Module 5: Rifts
Exercises: Participants are encouraged to show & discuss stratigraphic issues relating to their own dataset
Entry level and advanced Explorationists, Geologists, Geophysicists and sedimentary process / source rock forward modeller’s who needs to understand methodologies, constraints and pitfalls of seismic sequence stratigraphy interpretation.
Supported with references of 150+ publications
Basic Knowledge of Geology & Geophysics – sedimentology and/or seismic domain knowledge advantageous.
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