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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
During this course quick-look methods will be expanded on, to include deterministic and probabilistic evaluations. Several various tools will be introduced, such as NMR, image logs, production surveillance, and other special interest devices. LWD and MWD concepts will be discussed and compared to wireline logs. Quality assurance of data and interpretation will be emphasized throughout the week. The physics of measurements along with practical discussions of theory will allow each participant to follow simple procedures for the rapid and accurate interpretation of logs.
The learning objectives for intermediate formation evaluation will include improved estimates of intrinsic reservoir properties, petrophysical analysis for improved saturation predictions, define analysis methods, reservoir compartmentalization, and MDT/RFT data components in reservoir characterization studies. Understanding how dip and image logs are used, as well as using mechanical rock properties will also be covered.
To help participants accomplish the daily learning objectives the will be given hands-on problems and exercises with field examples to reinforce the course instruction.
Deterministic Log Analysis Methods for Reservoir Characterization
The first day of this course will focus on teaching participants about deterministic log analysis methods for reservoir characterization. Specific topics that will be covered include porosity, lithology, and saturation cross plot methods, as well as statistical methods. Log and core calibration for porosity, saturation, and lithology will also be discussed. The day will end with participants learning about core based electrical rock properties, such as formation factor, resistivity index, and excess conductivity.
Shale and Clay Analysis
Day two will focus on shale and clay analysis. Participants will receive a brief overview of shale and clay before the discussion of porosity models. Total porosity and effective porosity analysis methods will be covered, along with shale sand models such as dual-water, Waxman-Smits, and Thomas-Steiber models. Low resistivity – low contrast pay, v-shale, v-clay, quality assurance, and shale sand analysis will also be discussed. Participants will also learn about the pore geometry effects on saturation, porosity, and production. The day will conclude with saturation exercises.
Core-Log Integration
On the third day, participants will learn about core-log integration concepts. Mechanical rock properties and petrophysical rock types will be introduced as interpretation methods. Image logs and the importance of integration to the core, as well as the petrophysical core to log calibration will be discussed. Quality assurance, depositional environments, reservoir characterization application, DSI principles and operations, and examples of mechanical rock properties will also be covered. The day will end with participants learning about the NExT QuickScan method for core-log reservoir evaluation for intrinsic properties.
Reservoir Fluid Gradients and Pressures
Day four will teach participants about reservoir fluid gradients and pressures. MDT/RFT principles and operations will be covered, along with pressure measurement quality control. Participants will have a chance to learn about geopressure and basin analysis, along with MDT and fluid sampling. Reservoir drive and fluid properties will be covered, before participants are given reservoir performance predictive exercises. A practical application of flow units will be introduced to help describe small scale compartmentalization.
Day 5Probabilistic Formation Evaluation and Production Logs
The final day will cover probabilistic formation evaluation and production logs. Mineral models will be introduced along with fundamental methods. The day will end with a detailed well evaluation workshop which will be used to illustrate key learning aspects from the week.
Petrophysicists, geoscientists, and reservoir and petroleum engineers are the intended audience for this course.
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