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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.
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.
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 “potential” of potential field methods (gravity and magnetics) will be studied and compared.
In part 1, various aspects of gravity will be discussed, based on an EAGE publication, such as the Earth gravity field, determining anomalies in the global field, establishing the depth of density anomalies, spherical or anticlinal, and the resolution, which is limited because of it being a potential field described by a 1ste order differential equation. Most promising is the development of gravity gradiometry, whereby gradients in the gravity field can be directly measured. These measurements are less sensitive to airplane and ship movement, generating accelerations.
In part 2, the Earth’s magnetic field will be studied. Being mainly due to the internal dipole source, direct interpretation of magnetic (dipole) data is inherently more difficult than (monopole) gravity data. Fortunately, a magnetic dipole anomaly can be transformed into a pseudo-monopole gravity anomaly. As different causative sources can produce the same surface measurements, non-uniqueness in the interpretation remains an issue for magnetic data as well. However, promising developments to mitigate these issues will be discussed. Moodle, a course management system will be used, facilitating interactions and quizzes will reinforce the learning.
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: Gravity
Part 2: Magnetics
All those involved in either designing or supervising acquisition and processing of gravity and magnetic data. The course is targeted at asset geologists and geophysicists, and non-seismic acquisition, and processing experts.
In the course the following gravity topics will be discussed using presentations, videos, and exercises: derivation of an anomaly map from field data, determining the limiting depth of a sphere and an anticline, application of a simple inversion algorithm, a comparison between gravity on Earth and Moon and the use of the pendulum period in making towers earthquake resistant. The dominant dipole component of the Earth magnetic field and its changes over time, used in determining continental drift, will be highlighted. The response of bodies to the dipole field will be modelled in an exercise. And again, using a simple algorithm gravity and magnetic data will be inverted jointly to obtain a consistent subsurface model. In addition to those physics-based methods, the possibilities that Machine Learning offers is discussed. Also, whether to acquire additional data or apply new processing to older datasets is evaluated using the Value of Information (VOI) statistical approach.
An understanding of the role of Geophysics, especially of Potential and Electromagnetic data in the context of exploration and production and a good foundation in geology and geophysics.
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