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
The purpose of this course is to introduce the student to velocity modeling, velocity handling and domain conversion functionality in Petrel.
It takes the user through the preparation stage of data used for velocity estimation and modeling. This includes quality control and edit of checkshot data used in sonic calibration and quality control of time surfaces and well tops used for defining velocity intervals.
Furthermore, the available velocity modeling approaches are discussed, including well velocity estimation, the nature and modeling of seismic velocities, surface based and 3D grid based seismic velocity modeling, as well as user defined velocity functions.
After the velocity modeling phase, domain conversion of various objects and how to model structural uncertainty is covered.
Modules 1, 2 & 3
On Day 1, the participants will first learn how to quality control checkshot data and define velocity intervals based on well tops. Then, they will learn about various sonic calibration procedures, the Simple velocity model functionality, the main elements of the Advanced velocity model process, the available velocity functions and the corresponding inputs and outputs created by the Advanced velocity model process. The last part of this session will also cover to the methodologies for extracting and editing velocity data used for updating velocity models.
Modules 4, 5 & 6 (Part 1)
This session will cover the depth error correction and handling of depth error residuals, as well as how to set up a depth correction model. The participants will not only learn about loading and quality controlling seismic velocities (stacking velocities), but also about performing Dix conversion using stacking velocities. Then, they will model velocity surfaces, use the velocity surfaces to build velocity models and then set up a seismic-guided well velocity model.
Finally, the 3D grid-based seismic velocity modeling module will be introduced for the participants to model stacking velocities as an average velocity and an interval velocity property in a 3D grid, derive the scaling/correction factor for both velocity types using well velocities and correct the seismic velocities by the time-varying scaling/correction factor. Then, they will use the corrected dataset for velocity modeling.
Modules 6 (Part 2), 7 & 8
In this final session, after completing Module 6, the participants will first learn how to alternative methods for velocity modeling, using 3D volume - seismic velocities or user-defined functions.
One of the key objectives in building a velocity model is to be able to convert an object from one domain to another, usually from a time domain to a depth domain. Therefore, in the last part of the course, the participants will learn about domain conversion and quality control of converted objects.
Development and exploration geologists, geophysicists, petroleum engineers, managers, reservoir engineers and technical personnel with prior experience in Petrel.
Petrel Geophysics course or similar Petrel experience.
Customize your own learning journey and track your progress when you start using a defined learning path.