The oil and gas industry relies heavily on the efficient exploration, characterization, and production of hydrocarbon reservoirs. Among these, sandstone reservoirs play a crucial role in global energy production. This course aims to provide delegates with a comprehensive understanding of sandstone reservoirs, enabling them to optimize their exploration and production strategies by applying cutting-edge techniques and best practices.
The course is structured around ten modules, each designed to cover key aspects of sandstone reservoirs, from genetic stratigraphy and depositional architecture to reservoir characterization and prediction techniques. The curriculum integrates theoretical concepts with practical exercises and real-world case studies to ensure that participants can readily apply the knowledge they gain to their professional work.
One of the main objectives of the course is to help delegates recognize various depositional systems in sandstone reservoirs and understand their impact on reservoir quality and distribution. By examining clastic depositional systems, such as alluvial fans, fluvial systems, eolian systems, deltaic systems, and deepwater systems, participants will gain insights into the processes that control the formation and characteristics of sandstone reservoirs.
Another key component of the course is data acquisition and analysis, focusing on the use of wireline logs, core data, and seismic information. Delegates will learn how to effectively interpret and apply these data to characterize sandstone reservoirs and their depositional systems. This will enable them to make informed decisions when planning exploration and development activities.
The course also covers advanced techniques for predicting reservoir size, shape, trend, quality, and optimal well locations. This knowledge will prove invaluable for reservoir engineers and exploration and production managers, who must constantly make decisions to optimize operations and improve overall project success. By understanding the sedimentary controls on porosity, permeability, and saturation, participants will be better equipped to manage reservoir performance and maximize hydrocarbon recovery.
In addition to the theoretical aspects, the course places a strong emphasis on practical application. Delegates will participate in hands-on exercises, guided group discussions, and in-depth analysis of real-world case studies. This interactive approach will help participants develop integrated exploration and production strategies, fostering a deeper understanding of the challenges and opportunities associated with sandstone reservoirs.
In summary, the Sandstone Reservoirs: Exploration, Characterization, and Production course offers a comprehensive learning experience for professionals involved in the oil and gas industry, particularly those focused on sandstone reservoir exploration, development, and management. By the end of the course, delegates will have gained the knowledge and skills necessary to make informed decisions and optimize their operations in the complex world of sandstone reservoirs.
• Geologists: Professionals involved in reservoir characterization, exploration, and development planning, who want to deepen their understanding of sandstone reservoirs and enhance their decision-making abilities.
• Geophysicists: Professionals working with seismic data and interpretation, aiming to improve their skills in identifying sandstone reservoirs and understanding depositional systems and their impact on reservoir quality.
• Petrophysicists: Experts responsible for analyzing wireline logs and core data, who want to gain a better understanding of sandstone reservoirs and their various depositional systems, as well as improve their skills in identifying flow units and predicting reservoir properties.
• Reservoir Engineers: Professionals responsible for reservoir management, production optimization, and well planning, who want to expand their knowledge of sandstone reservoirs and learn advanced techniques for predicting reservoir size, shape, and quality.
• Exploration and Production Managers: Decision-makers responsible for exploration and development strategies, who want to deepen their understanding of sandstone reservoirs to optimize their operations and improve overall project success.
• Academics and Researchers: Those involved in the study of petroleum geology, reservoir characterization, and stratigraphy, who want to update their knowledge with the latest industry practices and case studies in sandstone reservoirs.
Please note that this is an advanced course, and attendees should have a basic understanding of geological concepts, reservoir characterization, and petroleum exploration and production.
- Apply advanced genetic stratigraphy concepts to better understand the depositional architecture of sandstone reservoirs
- Utilize wireline logs, core data, and seismic information to effectively characterize sandstone reservoirs and their depositional systems
- Recognize various depositional systems in sandstone reservoirs and understand their impact on reservoir quality and distribution
- Identify and analyze characteristic log patterns, flow units, and other key reservoir properties to optimize exploration and production efforts
- Implement advanced techniques to predict reservoir size, shape, trend, quality, and optimal well locations for efficient reservoir management
- Evaluate the lateral continuity and quality of seals in sandstone reservoirs, and apply this knowledge to optimize exploration and development strategies
- Understand the sedimentary controls on porosity, permeability, and saturation in sandstone reservoirs and their implications on reservoir performance
- Analyze real-world case studies of sandstone reservoir exploration and production to gain insights into effective strategies and best practices
- Develop integrated exploration and production strategies by applying the knowledge and skills gained throughout the course to maximize project success
- Engage in informed discussions with multidisciplinary teams, including geologists, geophysicists, petrophysicists, reservoir engineers, and exploration and production managers, to improve overall decision-making in sandstone reservoir projects
- Course introduction and objectives
- Genetic stratigraphic analysis principles
- Depositional architecture and basin types
- Wireline logs and core analysis techniques
- Seismic and sequence stratigraphy fundamentals
- Practical applications and interpretation of data
- Depositional system recognition
- Process-response facies models and their applications
- Integrated genetic stratigraphy in reservoir characterization
- Alluvial fan depositional systems
- Fluvial systems and their impact on reservoir quality
- Eolian systems and reservoir architecture
- Deltaic depositional systems and reservoir distribution
- Shoreline and shelf systems
- Deepwater depositional systems and reservoir characteristics
- Incised valley sequences and their impact on reservoirs
- Shelf margin systems and their depositional settings
- Linked downslope systems and their influence on reservoir architecture
- Characteristic log patterns for various depositional systems
- Flow unit identification and analysis
- Practical log pattern recognition and interpretation exercises
- Predicting reservoir size, shape, trend, and quality
- Optimal well location selection strategies
- Assessing lateral continuity and seal quality in reservoirs
- Sedimentary controls on porosity, permeability, and saturation
- In-depth reservoir exploration and production case histories
- Real-world exploration and production scaled case study analysis
- Key course takeaways and their applications
- Hands-on exercise: Develop an integrated exploration and production strategy
- Course conclusion and final review
Training can take place in 4 formats:
- Self-paced
- Blended learning
- Instructor-led online (webinar)
- Instructor-led offline (classroom)
Description of training formats:
- Self-paced learning or e-Learning means you can learn in your own time and control the amount of material to consume. There is no need to complete the assignments and take the courses at the same time as other learners.
- Blended learning or "hybrid learning" means you can combine Self-paced learning or e-Learning with traditional instructor-led classroom or webinar activities. This approach requires physical presence of both teacher and student in physical or virtual (webinars) classrooms or workshops. Webinar is a seminar or presentation that takes place on the internet, allowing participants in different locations to see and hear the presenter, ask questions, and sometimes answer polls.
- Instructor-led training, or ILT, means that the learning can be delivered in a lecture or classroom format, as an interactive workshop, as a demonstration under the supervision and control of qualified trainer or instructor with the opportunity for learners to practice, or even virtually, using video-conferencing tools.
When forming groups of students, special attention is paid to important criteria - the same level of knowledge and interests among all students of the course, in order to maintain stable group dynamics during training.
Group dynamics is the development of a group in time, which is caused by the interaction of participants with each other and external influence on the group. In other words, these are the stages that the training group goes through in the process of communicating with the coach and among themselves.
The optimal group size for different types of training:
- Self-paced / E-learning: 1
- Instructor-led off-line (classroom): 6 – 12
- Instructor-led on-line (webinar): 6 – 12
- Blended learning: 6 – 12
- Workshop: 6 – 12
- On-the-job: 2 – 4
- Simulator: 1 – 2
Feedback in the form of assessments and recommendations is given to students during the course of training with the participation of an instructor and is saved in the course card and student profile.
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For courses with an instructor, start and end dates are indicated. At the same time, it is important to pay attention to the deadlines for passing tests, exams and practical tasks. If the specified deadlines are missed, the student may not be allowed to complete the entire course programme.
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During the training, you may encounter various forms of testing and knowledge testing. The most common assessment methods are:
- preliminary (base-line assessment) - to determine the current level of knowledge and adapt the personal curriculum
- intermediate - to check the progress of learning
- final - to complete training and final assessment of knowledge and skills, can be in the form of a project, testing or practical exam
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The 30-day money back policy allows students to receive quality teaching services with minimal risk, we must also protect our teachers from fraud and provide them with a reasonable payment schedule. Payments are sent to instructors after 30 days, so we will not process refund requests received after the refund period.
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Conducting classes is based on the fact that the teacher demonstrates text, drawings, graphics, presentations on an interactive board, while the content appears in the student's electronic notebook. A specially designed digital notepad and pen are used to create and edit text and images that can be redirected to any surface via a projector.
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Real-life training uses the principles of game organization, which allows future professionals to rehearse and hone their skills in a virtual emergency. Learning as a game provides an opportunity to establish a connection between the learning activity and real life.
The technology provides the following learning opportunities:
- Focused on the needs of the user
- Instant feedback
- Independent decision making and choice of actions
- Better assimilation and memorization of the material
- Adaptive pace of learning tailored to the individual needs of the student
- Better transfer of skills learned in a learning situation to real conditions
Basic principles of training:
- A gradual increase in the level of difficulty in the game;
- Using a simplified version of a problem situation;
- Action in a variable gaming environment;
- The right choice is made through experimentation.
The main advantages of Game Based Learning technology:
- Low degree of physical risk and liability
- Motivation to learn while receiving positive emotions from the process;
- Practice - mirroring the real situation
- Timely feedback
- Choice of different playing roles
- Learning in collaboration
- Developing your own behavior strategy
Conducting practical classes online using remote access technologies for presentations, multimedia solutions and virtual reality:
- Laboratory workshops that simulate the operation of expensive bench equipment in real production
- Virtual experiment, which is visually indistinguishable from a remote real experiment performed
- Virtual instruments, which are an exact copy of real instruments
- Mathematical modeling to clarify the physical characteristics, chemical content of the investigated object or phenomenon.