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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 will discuss SPE PRMS guidelines (June 2018 version). SEC regulations will also be summarized by comparing important definitions with PRMS. Resources classification and categorization will be given on a framework along with a guideline for the application of these definitions.
The course will update G&G and reservoir engineers with the current deterministic and probabilistic reserves estimation methods.
Resources and Reserves
Day one of this course will begin with an introduction and a basic overview of Resource Classification System in view of SPE PRMS latest guidelines (June 2018 version). Participants will start discussing the traditional reserves estimation methods; analogy and volumetric methods will be covered in day 1.
Day 2Reserves Estimation and Link to Project Economics
On this day participants will continue discussing the reserves estimation methods. Material Balance Analysis and Decline Curve Analysis will be covered in day 2. The participants will also learn how project economics are linked to reserves.
Day 3Deterministic Field Example
On day 3 participants will go through deterministic resource and reserves analysis and estimation on an example field. Basics of descriptive statistics will also be covered.
Day 4Statistics, Probability, and Uncertainty
On this day participants will learn about probability and uncertainty that are associated with reserves. Day four will also cover the expected value of a reserve and the decision tree.
Day 5Probabilistic Reserve Estimation
The last day of the course will cover simulation and probabilistic reserve estimations.
Individuals with both geoscience and engineering backgrounds.
A basic knowledge of reservoir engineering and petroleum geology, along with an Engineering or GeoSciences degree.
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