COURSE OVERVIEW
DE0271 : Petrel Uncertainty for Reservoir Engineers
OVERVIEW
COURSE TITLE | : | DE0271 : Petrel Uncertainty for Reservoir Engineers |
COURSE DATE | : | Dec 15 - Dec 19 2024 |
DURATION | : | 5 Days |
INSTRUCTOR | : | Dr. John Petrus |
VENUE | : | Dubai, UAE |
COURSE FEE | : | $ 8000 |
Register For Course Outline |
OTHER SCHEDULED DATES
Date | : | Jul 01 - Jul 05 (5 Days) | Location | : | Abu Dhabi, UAE | Classroom Fee (US$) | : | $ 8000 | Course Info |
Date | : | Oct 07 - Oct 11 (5 Days) | Location | : | Abu Dhabi, UAE | Classroom Fee (US$) | : | $ 8000 | Course Info |
Course Description
This course is designed to provide participants with a detailed and up-to-date overview of Petrel Uncertainty and Optimization. It covers the capabilities and applications of Petrel software for uncertainty management; the concepts of uncertainty in reservoir modeling; data importing at management for uncertainty analysis; the fundamental concepts and tools of geostatistics and probabilistic modeling; the basic uncertainty study in Petrel and effective ways to visualize uncertain data; the advanced geostatistical methods in Petrel, parametrization of uncertainty monte carlo simulations and handling spatial uncertainty; the uncertainty in porosity, permeability and saturation; and the perform dynamic data integration for uncertainty analysis.
During this interactive course, participants will learn the systematic techniques and best practices in calibrating static models with dynamic data; the sensitivity analysis and scenario evaluation, workflow optimization for history matching and reservoir optimization; the geomodels to reservoir simulation for optimization; the optimization algorithms in Petrel; the field development planning under uncertainty, economic aspects and optimization and advanced uncertainty analysis methods; the workflows for uncertainty and optimization; the risk management and decision making under uncertainty; the emerging technologies and future developments in Petrel; and the implement best practices for reporting and presentation of results.
link to course overview PDF
During this interactive course, participants will learn the systematic techniques and best practices in calibrating static models with dynamic data; the sensitivity analysis and scenario evaluation, workflow optimization for history matching and reservoir optimization; the geomodels to reservoir simulation for optimization; the optimization algorithms in Petrel; the field development planning under uncertainty, economic aspects and optimization and advanced uncertainty analysis methods; the workflows for uncertainty and optimization; the risk management and decision making under uncertainty; the emerging technologies and future developments in Petrel; and the implement best practices for reporting and presentation of results.
TRAINING METHODOLOGY
This interactive training course includes the following training methodologies:
LecturesWorkshops & Work Presentations
Case Studies & Practical Exercises
Videos, Software & Simulators
In an unlikely event, the course instructor may modify the above training methodology for technical reasons.
VIRTUAL TRAINING (IF APPLICABLE)
If this course is delivered online as a Virtual Training, the following limitations will be applicable:
Certificates | : | Only soft copy certificates will be issued |
Training Materials | : | Only soft copy materials will be issued |
Training Methodology | : | 80% theory, 20% practical |
Training Program | : | 4 hours per day, from 09:30 to 13:30 |
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