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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
This course is a revision of the application of Microseismic Monitoring to Hydraulic Fracturing, Induced Seismicity and Underground Storage Operations. The theoretical background of acquisition, processing, and interpretation of the data will be presented, focusing on practical considerations related to executing a successful monitoring, processing and interpretation project. The theoretical basis will be closely tied to key field examples in order to demonstrate specific aspects. Potential interpretation pitfalls will be stressed in terms of data quality, image accuracy, sensitivity, and resolution, as well as fundamental limitations of the data related to geomechanics. Quality control attributes will be presented in order for participants to better understand the data limitations and confidence, especially the potential impact on interpretation. Finally, an overview of advanced processing and future research directions will be discussed.
Theoretical Considerations and Basic Processing
This day will begin with teaching participants about the theoretical considerations for microseismic imaging. The day will continue with a discussion over acquisition and basic processing.
Day 2Fracture Interpretation and Pitfalls
This day will focus on teaching participants about fracture interpretation and how to avoid common interpretation pitfalls. Advanced processing and interpretation will also be covered.
This course is aimed for geoscience and engineering personnel involved with the mapping of fracturing operations using microseismic, in the planning, execution, and interpretation of microseismic data to image hydraulic fracturing.
Knowledge of Geophysics and Geomechanica
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