Reservoir simulation of oil and gas reservoirs

Course Feature
  • Cost
    Paid
  • Provider
    Udemy
  • Certificate
    No Information
  • Language
    English
  • Start Date
    2021-05-07
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Brahim Medjani
Next Course
2.6
20 Ratings
This course is designed for engineers and personnel working in the subsurface departments of petroleum/reservoir/production, as well as academics and researchers who need to understand the background theory and application of reservoir simulation. Through this course, you will gain a full knowledge of the fundamental concepts of reservoir simulation models, design reservoir models, understand the mathematical basis of reservoir simulation, and learn how to construct and understand all the sections of the simulation data file. You will also learn how to check the input data, perform history matching, and apply sensitivities analysis on reservoir parameters. Click now to gain a comprehensive understanding of reservoir simulation!
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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [September 19th, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)
This course is dedicated to the engineers and personal working in the subsurface departments petroleum / reservoir / production … as well as to academics, researchers who needs to understand the reservoir simulation background theory and its application to predict reservoir performanceGain a full knowledge of the fundamental concepts of the reservoir simulation model, basic elements planning of the reservoir simulation study.Understand how to design the reservoir models (Model concepts, Selecting the rock and fluid properties data, grid size and time steps sizes, etc.Understand the mathematical basis of reservoir simulation, differential equations, spatial discretization, and basic finite difference equations.Realize overall design of a well-Management routine, structure and sequence logic, individual well behaviour, and data requirement.Learn how to construct and understand all the sections of the simulation data file to upload it correctly into the simulator; run the simulation, check the output files and analyse the results.Learn how to check the input data, perform the History Matching technique by taking some special considerations, thus getting a model reproducing the observed field data.Prepare the necessary input data to make development strategy of the reservoir and run predictions with/without constraints for a better forecasting of the reservoir performance.Apply sensitivities analysis on reservoir parameters to study the effect, changes on the results.We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)

What skills and knowledge will you acquire during this course?
During this course, the individual will acquire a range of skills and knowledge related to reservoir simulation of oil and gas reservoirs. They will gain a comprehensive understanding of the fundamental concepts of reservoir simulation models and the basic elements involved in planning a reservoir simulation study. This includes learning how to design reservoir models by selecting appropriate rock and fluid properties data, determining grid size and time step sizes, and understanding the mathematical basis of reservoir simulation, including differential equations, spatial discretization, and basic finite difference equations.

The individual will also learn about the overall design of a well-management routine, including the structure and sequence logic, individual well behavior, and data requirements. They will acquire the skills to construct and understand all sections of the simulation data file, ensuring it is uploaded correctly into the simulator. They will also learn how to run the simulation, check the output files, and analyze the results.

Additionally, the individual will learn how to perform history matching techniques to create a model that accurately reproduces observed field data. They will gain the ability to prepare the necessary input data to develop a reservoir strategy and run predictions with or without constraints for improved forecasting of reservoir performance. Sensitivity analysis on reservoir parameters will also be covered, allowing the individual to study the effects and changes on the simulation results.

Overall, this course will provide the individual with a comprehensive set of skills and knowledge necessary for reservoir simulation in the oil and gas industry.

How does this course contribute to professional growth?
This course on reservoir simulation of oil and gas reservoirs contributes significantly to professional growth for engineers and professionals working in the subsurface departments of the petroleum, reservoir, and production industries. By gaining a full knowledge of the fundamental concepts of reservoir simulation models and understanding the background theory, individuals can enhance their expertise in predicting reservoir performance.

The course also focuses on the planning and design of reservoir models, including selecting rock and fluid properties data, determining grid size and time step sizes, and understanding the mathematical basis of reservoir simulation. This knowledge allows professionals to effectively design and construct reservoir models, ensuring accurate representation of the reservoir and its behavior.

Furthermore, the course covers the overall design of a well-management routine, including the structure and sequence logic, individual well behavior, and data requirements. This understanding enables professionals to optimize well management strategies and make informed decisions based on the simulation results.

Additionally, the course teaches individuals how to construct and analyze simulation data files, ensuring correct input into the simulator and accurate interpretation of the output files. This skill is crucial for professionals to effectively run simulations, check the results, and make informed decisions based on the analysis.

The course also covers the history matching technique, which allows professionals to adjust the reservoir model to reproduce observed field data. This technique enhances the accuracy of the simulation and improves the reliability of the predictions.

Moreover, professionals will learn how to prepare input data for the development strategy of the reservoir and run predictions with or without constraints. This knowledge enables individuals to make better forecasts of reservoir performance and make informed decisions regarding reservoir development.

Finally, the course emphasizes sensitivity analysis on reservoir parameters to study the effect of changes on the simulation results. This skill allows professionals to assess the impact of different variables on reservoir performance and make informed decisions based on the analysis.

Overall, this course on reservoir simulation of oil and gas reservoirs provides professionals with the necessary knowledge and skills to enhance their expertise in predicting reservoir performance, optimizing well management strategies, and making informed decisions for reservoir development.

Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education. It provides a comprehensive understanding of reservoir simulation, including the fundamental concepts, design of reservoir models, mathematical basis, well-management routine, data analysis, and development strategy. This knowledge and skills gained from the course can be applied to further studies in the field of petroleum engineering, reservoir engineering, or related disciplines.

Course Syllabus

Practice Tests

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