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Bridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
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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.
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
Although in the search for hydrocarbons seismic plays the dominant role, complementary data can be very useful. A clear example is that seismic can clearly determine reservoir geometries based on acoustic impedance changes but is less sensitive to the pore-fluids. Electromagnetic measurements, such as Controlled Source EM (CSEM) measures resistivity directly and hence can discriminate between brine and hydrocarbon fill. But how about the poorer resolution of EM compared with seismic you might ask (correctly)! Indeed, that is the case, but if you think of combining the two independent sources of information, then seismic will give the structure (container) which then can be used as a constraint for the inversion of EM. Another application (MT) is in the realm of determining the shape of allochthone salt bodies below which hydrocarbons can be present. Numerous applications can be mentioned in relation to shallow seismic. An obvious one is the use of Ground Penetrating Radar for investigating archaeological sites or determining the depth to upwelling deep salt-water due to severe pumping of fresh water for irrigation. EM methods are also extensively used for determining the extend of underground pollution.
In this course the theory behind electromagnetism will be “gently” introduced without going into the mathematics. The main emphasis is on applying it in exercises to better understand what contribution EM can make to answering geophysical questions.
This course is a blended course. It is lead remotely by the instructor that has daily direct interactions with the trainees for several hours. Trainees are self-learning for the rest of the day by doing exercises and going through the course material.
The course consists of presentations, videos, and exercises. The presentations, also made available in pdf, are animated power point shows. The videos are either related to the exercises or general, some related to professional societies. In the exercises the methods discussed in the presentations are applied using computer programs. The solutions are discussed. Also, the course contains quizzes which are meant to reinforce the learning. Each quiz consists of multiple-choice questions.
Part 1
Part 2
Part 3
Part 4
Part 5
All those interested in understanding the use of Electromagnetic (EM) methods in Geophysical Applications. These are the geoscientists working in hydrocarbon exploration and exploitation as well as those applying shallow surface geophysics for detecting ore bodies, determining the extend of shallow pollution, foundation engineering, etc.
Of all possible applications, only a few will be dealt with. The responses of spheres, cylinders, and plates to Direct Current (DC), Inductive (FDEM) and Natural sources (MT) will be modelled. Marine Controlled Source EM (CSEM) and Ground Penetrating Radar (GPR) are among the most used methods. The theory related to FDEM and TDEM will be applied in exercises, using open-source apps provided by Doug Oldenburg & Lindsey Heagy, of UBC University.
A basic understanding of physics.
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