Мұнай-газ ісі саласындағы ғылым магистрі

In this course, fluid flow types and mechanisms in the porous media will be discussed. Classifications of flow and descriptions of fluid flow in porous media will be studied. Conservation laws, constitutive relations of fluid flow, and equation of transient fluid flow in porous media will be analyzed in details. Different types of fluid flow such as steady, pseudo-steady, and transient flow in linear, radial and spherical systems will be discussed and analyzed.

Course learning outcomes
1. Classify different types and levels of fluid flow.
2. Apply flow potential, stream functions, and iso-potential lines in porous media.
3. Derive microscopic/macroscopic conservation equations.
4. Develop dispersion-advection equation.
5. Solve diffusion equations for liquid, gas, and multiphase systems.
6. Apply Buckley-Leverett theory/Welge’s method to two phase fluid flow in porous media.

In this course, fundamental sections of upstream petroleum engineering is introduced. These fundamental subjects will be used in other courses of the program. Fundamental aspects of reservoir and rock properties, reservoir fluid properties and E&P processes will be presented in this course.

Course learning outcomes
1. Evaluate petroleum systems and different processes in E&P.
2. Construct data necessary for reservoir decision-making.
3. Demonstrate the interplay between disciplines in petroleum engineering.
4. Appraise the role of petroleum engineers in the energy transition.

Review of conventional and contemporary well logging and core analysis methods and technologies. Log and core data interpretation techniques for lithology and hydrocarbon identification and calculation of reservoir parameters, including computerized processing and interpretation. Utilization of well-log and core data in evaluating well performance before, during, and after production of hydrocarbons. Sensitivity of hydrocarbon in place determination to formation evaluation parameters. Regular, special (SCAL), and integrated core-log analysis of formation resistivity, saturation, porosity, and lithology. Lithology and stratigraphy estimations from spectral gamma ray logging, fluid and permeability characterization from nuclear magnetic resonance (NMR), and thin bed, stratigraphic, and structural (e.g. fracture) analysis from formation micro-imaging (FMI).

Course learning outcomes
1. Improve reservoir characterization using SCAL and integrated core-log data.
2. Perform formation evaluation with methods such as spectral gamma ray logs, NMR, and FMI.
3. Characterize carbonate, sandstone and shale reservoirs with information derived from various logs.
4. Integrate the log, core and other well data to produce a consistent interpretation of a given reservoir.

The main objective of this course is to introduce traditional drilling technologies and basic design parameters such as drilling fluid properties and pressure control. Methods for optimizing drilling operations for special formations will also be analyzed.

Course learning outcomes
1. Apply basic petroleum unit conversions, understanding of drilling rigs and its mechanism, and well control and monitoring system.
2. Conduct experiments to measure drilling fluid and cement slurry rheological properties.
3. Relate fluid properties to the fluid formulation.
4. Calculate pore pressure, fracture pressure.
5. Describe different mathematical models related to drilling hydraulics and drill bit selection and evaluation.

This course addresses the primary need for graduate students to undertake formal training that will help them in understanding how to conduct their research. The course will develop students’ understanding of research planning and engender skills enhancement for reading, interpreting, writing about and presenting key ideas. The course will also instill an understanding of a variety of research methods and ethics, as well as implementation of appropriate strategies in lecture and workshop settings.

Course learning outcomes
1. Discuss the research process, research methodology, research methods, and research ethics.
2. Effectively use modern technology to plan and manage research projects.
3. Effectively apply the research methodology and appropriate research methods to formulate and validate engineering research problems.
4. Critically analyze and evaluate research findings.
5. Effectively employ appropriate communication techniques to summarize, document and present the research results to both specialists or non-specialists.
6. Develop the skills to maintain good working relations in a research team environment.

In this course different concepts and methods will be presented to enhance the capability of students to analyze the petroleum production system, design different components, optimize the oil/gas production, and enhance the production from wells.

Course learning outcomes
1. Critically evaluate the production system from reservoir to surface, including Inflow Performance and Outflow Performance Relationships for oil and gas wells.
2. Evaluate well deliverability under different operating conditions.
3. Optimize a production system (select flowlines, tubing size, chokes, sensitivities, etc.) based on IPR and the principles of multiphase flow in wells.

Introduction to fundamental concepts in reservoir engineering; Defining reserves; Different methods to estimate oil and gas reserves; Material balance equations for different types of oil and gas reservoirs; Definition and classification of water aquifers and basic concepts for water influx; Well performance behavior and calculation of productivity index; Decline curve analysis; Improved oil recovery methods and Enhanced oil recovery methods.

Course learning outcomes
1. Assess the reservoir characteristics by advanced interpretation for complex reservoir engineering problems.
2. Estimate hydrocarbon originally in place in the reservoir using modern reservoir techniques and tools.
3. Evaluate the reservoir performance using different techniques.

Different aspects of reservoirs simulation will be presented and analyzed in this lecture. Governing equations of fluid flow in reservoirs, numerical modeling of them, and solving methods will be discussed by black oil and compositional approaches. Different case studies will be solved by appropriate commercial simulator in lab sessions.

Course learning outcomes
1. Understand the importance of reservoir simulation in oil and gas industry.
2. Derive the equations of conservation of mass and momentum and energy balance.
3. Explain the physical laws that govern fluid flow for single-phase and multi-phase flow.
4. Discretize equation systems using finite difference methods and to solve them.
5. Demonstrate ability to build reservoir models to simulate water flooding problems.
6. Develop practical experience through parameter tuning in reservoir simulation studies.
7. Apply reservoir simulation knowledge and skills to more complex case studies.
8. Demonstrate ability to finish a complex reservoir simulation case study using different approaches, analyze results, write a report, and present the results in group of 2 or 3 students (Final Project).

Master students in petroleum engineering work on their thesis in the second year. In this course, students will work on their research thesis, submit their thesis after successful completion of the work, and present their finding in an oral defence session.

Course learning outcomes
1. State the problem to be solved as a MSc thesis.
2. Analyze similar works in the literature.
3. Design methods to answer to the questions of the thesis.

Well testing methods are used to estimate parameters of reservoirs such as permeability, skin factor, and drainage area. Different methods of well testing for oil and gas reservoirs are discussed and analyzed in this course. Hence, students will be able to design a well test operation and analyze data obtained from tests to improve the knowledge from hydrocarbon formations.

Course learning outcomes
1. Understand the role and objectives of well testing in petroleum engineering.
2. Demonstrate knowledge of transient flow models and their application in well testing.
3. Demonstrate the ability to extract reservoir characteristics from standard tests.
4. Apply the use of pressure derivatives in well testing to determine flow regime.
5. Develop a working knowledge of well test analysis for gas reservoirs.
6. Demonstrate the ability to design a well test.
7. Understand well testing complexities in application to horizontal wells.
8. Demonstrate knowledge of well test analysis for fractured reservoirs.

The content of this course will focus on analyzing datasets generated in oil and gas industry using various analytical techniques. Students are expected to understand the fundamental principles and master different data analytics techniques after attending this course. Knowledge and skills will enable students to quickly adapt to petroleum engineer or researcher roles in both industry and academia.

Course learning outcomes
1. Understand the role and objectives of digital oilfield.
2. Explain system thinking and the application of digital techniques in digital oilfield.
3. Demonstrate the ability to extract and manage data related to petroleum engineering.
4. Master fundamental knowledge and skills of statistics and data analyses.
5. Develop programming skills of building and testing data analytics models.
6. Gain hands-on experience of tuning models for solving realistic example problems.
7. Identify data analytics problems and potential models in petroleum engineering.
8. Demonstrate ability to solve a complex data analytics problem using different data.

Master students in petroleum engineering work on their thesis in the second year. In this course, students will work on their research thesis, submit their thesis after successful completion of the work, and present their finding in an oral defence session.

Course learning outcomes
1. Practice and manage a research project to successful completion and achieve its objectives.
2. Present the research findings in the form of a thesis dissertation and conference style paper.
3. Present the research results in the form of a conference-style oral presentation to the thesis committee.

In this course different concepts and methods will be presented to enhance the capability of students to analyze the performance of chemical/thermal/solvent EOR methods. Mechanisms behind the performance of each method and ways to improve and optimize each approach will be discussed and analyzed in this course. 

Course learning outcomes
1. Analyze macroscopic and microscopic sweep efficiency parameters in porous media.
2. Recommend methods to improve sweep efficiencies.
3. Screen the appropriate EOR method based on the oil reservoir condition.
4. Design main aspects of different EOR methods and the main governing mechanisms and parameters.
5. Recommend suggestions for improvement of the performance of an EOR method in oil fields.

This course introduces geodetic surveying, geospatial and earth observation technologies applied for marine and onshore petroleum and gas & mining industry.

Course learning outcomes
1. Identify and justify appropriate geospatial and remote sensing technology for petroleum industry.
2. Apply software for geospatial data management, analyses and mapping for petroleum industry.
3. Identify and justify appropriate space and terrestrial surveying technology for petroleum industry.

This course aims to summarize the thought process or key considerations in developing an exploration drilling strategy for unconventional resources that takes into account geological, environmental, drilling and construction perspectives.
1. Understand the developing drilling strategy used to drill in an unconventional reservoir.
2. Perform drilling fluid design in unconventional reservoir.
3. Perform drilling hydraulics design and solving problems.
4. Design bit and casing while drilling.
5. Design wellbores and well paths, including directional and horizontal well trajectories.
6. Recognize situational drilling problems in deep well and solution approaches.
7. Choose the optimal technology in monitoring during drilling a well.