School of Mining and Geosciences
School of Mining and Geosciences
School of Mining and Geosciences
Программа докторантуры в области нефтегазового дела
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О программе
Программа докторантуры по специальности «Нефтегазовое дело» в Школе горного дела и наук о Земле предназначена для предоставления продвинутых навыков и базы знаний на уровне экспертов для лиц, планирующих карьеру в академических, промышленных и исследовательских учреждениях нефтяной инженерии.
Программа направлена на расширение знаний в области нефтяной инженерии на продвинутых курсах и развитие исследовательских навыков на высоком уровне.
Программа направлена на расширение знаний в области нефтяной инженерии на продвинутых курсах и развитие исследовательских навыков на высоком уровне.
По завершении программы студенты смогут разрабатывать и проводить независимые, инновационные и высококачественные исследования, связанные с различными темами в нефтяной инженерии. Кроме того, выпускники программы будут подготовлены к работе в промышленной и академической среде, включая должности преподавателей университетов, старших исследователей, инженеров и разработчиков продуктов.
Основная информация
- Кампус: Астана, Казахстан
- Язык обучения: английский
- Формат обучения: Очная, на кампусе
- Продолжительность: 4 года
- Общее количество кредитов ECTS: 240
Цели программы
Программа направлена на подготовку:
- специалисты для роста карьеры в (национальной и многонациональной) промышленности и научных кругах Казахстана, в соседних странах и на международном уровне;
- будущие политики и лица, принимающие решения для карьеры в государственных учреждениях, на государственной службе и в социальной экономике, в Казахстане и во всем мире;
- предприниматели, которые смогут продвигать передовые и инновационные наукоемкие технологии в любой точке мира;
- новое поколение коммерчески осведомленных и технологически передовых ученых и технологов, которые будут руководить будущими разработками в выбранной суб-дисциплине горной инженерии; и
- будущие ученые и исследователи по суб-дисциплинам инженерной механики для карьерного роста в качестве специалистов в университетах Казахстана и других стран мира.
Ключевые преимущества:
- Более 95% выпускников устраиваются на работу в течение 1–2 месяцев после окончания обучения1
- Работают в компаниях: KazMunaiGas, Schlumberger, Chevron и другие2
- Доступ к современным лабораториям и передовому программному обеспечению для моделирования резервуаров и анализа работы скважин3
- Капстон-проекты ориентированные на реальные потребности отрасли4
- Международная академическая среда с поддержкой преподавателей со всего мира5
- Возможности для научных публикаций и участия в международных конференциях6
Результаты обучения по Программе
При успешном завершении программы студенты смогут:
- Обзор, анализ и оценка объема научной литературы в области изучения горной инженерии
- критически оценивать все основные виды исследований в своей области изучения горной инженерии;
- определить соответствующие темы исследований в своей области изучения горного дела и сформулируйте гипотезы по таким темам;
- планировать, проводить, анализировать и сообщать об исследованиях в письменной и устной форме независимо друг от друга;
- внести оригинальный вклад в знания в своей области специализации в области горного машиностроения;
- Способность объяснять свои исследования и результаты исследований другим как в устной, так и в письменной форме.
- представить и объяснить связь между результатами их исследований и более широкой областью знаний в их дисциплине Горная инженерия;
- развивать свою академическую/научную карьеру с помощью презентаций, публикаций и национальных и международных связей;
Чему вы научитесь?
- Сложное моделирование пластов
- Нетрадиционные ресурсы и бурение в новых зонах
- Применение ИИ и машинного обучения
- Продвинутое геомеханическое моделирование
- Инновационные технологии управления углеродом и устойчивого развития
Учебный план
Справочник
Основные модули
Список основных модулей
Main topics required in drilling and production engineering will be covered in this course. In the production section, major applications of production engineering to design, estimate, and optimize production from oil and gas wells will be covered.
Course learning outcomes
1. Recognize the objectives of well planning and the overall process.
2. Perform the various methods of predicting or determining the formation pressure and fracture gradient.
3. Design elements of drilling operation such as drilling fluid, cementing, casing, and drill string and the well profile.
4. Analyze governing equations of a production system and main parameters of different elements such as well, pipelines, and surface facilities.
Course learning outcomes
1. Recognize the objectives of well planning and the overall process.
2. Perform the various methods of predicting or determining the formation pressure and fracture gradient.
3. Design elements of drilling operation such as drilling fluid, cementing, casing, and drill string and the well profile.
4. Analyze governing equations of a production system and main parameters of different elements such as well, pipelines, and surface facilities.
A research plan is developed by the student in collaboration with the Program Advisor or Research Supervisor at the start of the semester outlining the research goals to be accomplished. At the end of the semester the student files a research report which is graded (P/F) by the Program Advisor or Research Mentor (when selected). The “in-progress” grade is submitted and maintained on the student’s transcript; credit is awarded on successful completion of thesis requirements.
Course learning outcomes
1. Practice academic writing appropriate to the discipline and learn how to participate in the peer review process.
2. Prepare accurate research progress reports.
Course learning outcomes
1. Practice academic writing appropriate to the discipline and learn how to participate in the peer review process.
2. Prepare accurate research progress reports.
Statistics course will focus on the statistical and data analytics techniques applied for onshore and marine petroleum and gas & mining industry. This course will provide PhD students with the practical skills and theoretical knowledge on how to collect, analyze, interpret and present different types of data and research results for onshore and marine petroleum and gas & mining industry. Different data types will be addressed and used in this course to cover broad range of research interests by PhD students. Moreover, along with the standard statistical techniques, this course will introduce the aspects of spatial statistics. The scientific research and publication skills will also be strengthened in the process of this course. This course will be targeted to the research interests of PhD students so that they can practically apply what they learnt out of this course and demonstrate the research results in their finalizing projects. The interdisciplinary research principles will also be promoted so that PhD students are able to consider and integrate more aspects in their statistical analysis from different petroleum and gas & mining disciplines.
Course learning outcomes
1. Perform exploratory and descriptive analyses of statistical data.
2. Analyze statistical relationships using regression techniques.
3. Quantitatively compare differences and visualize statistical data.
Course learning outcomes
1. Perform exploratory and descriptive analyses of statistical data.
2. Analyze statistical relationships using regression techniques.
3. Quantitatively compare differences and visualize statistical data.
This course will help PhD students to become more familiar with the literature of the research direction and research topic they choose as their PhD thesis. This course will help students to prepare their research proposal.
Course learning outcomes
1. Evaluate and critique existing research sources and materials in their field.
2. Construct a coherent literature review organized in themes and appropriate sub-topics.
3. Articulate a clear and focused research question.
4. Present a well-argued rationale for the selection of a particular methodology and combination of methods.
Course learning outcomes
1. Evaluate and critique existing research sources and materials in their field.
2. Construct a coherent literature review organized in themes and appropriate sub-topics.
3. Articulate a clear and focused research question.
4. Present a well-argued rationale for the selection of a particular methodology and combination of methods.
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.
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.
Курсы по выбору
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.
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 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.
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.
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).
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).
The content of this course will focus on analyzing datasets generated in oil and gas industry using various analytical techniques. PhD 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 analytics techniques, analyze results, make a comparison, and write a report.
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 analytics techniques, analyze results, make a comparison, and write a report.
- Сильный акцент на исследования, стажировки и практические навыки для индустрии.
Где работают выпускники?
- Карьерные возможности
- Нефтегазовые компании (геологоразведка и добыча, национальные/международные нефтяные компании)
- Сервисные компании (нефтесервисные услуги, подрядчики по бурению/добыче)
- Инженерные и консалтинговые компании
- Государственные сектора, связанные с энергетикой
- Секторы возобновляемой энергетики
- Инженерные закупки и строительство
- Инжиниринг безопасности
- Инжиниринг подземных вод
- Экологическая инженерия
- Академия как учебно-исследовательский факультет
- Где?Компании: KMG Engineering, SLB (Schlumberger), Shell, KazMunaiGas, Chevron, TengizChevrOil (TCO), Halliburton и другие компании
в Казахстане, ОАЭ, Великобритании, Индии и других странах
Поступающим
Контактные данные
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Касательно вопросов поступления
По вопросам академического характера
Адрес:
Республика Казахстан, 010000, г. Астана, пр. Кабанбай батыра, 53
Каб.: 1.111 блок 1,
Каб.: 1.111 блок 1,
Телефон
+7 (7172) 64 25 84
+7 747 094 02 30
+7 747 094 02 30
Возможности для поступления:
Для более подробной информации об оплате за обучение обращайтесь, пожалуйста, в Bursar's Office:
Для более подробной информации об оплате за обучение обращайтесь, пожалуйста, в Bursar's Office:
- Телефон: +7 (7172) 70 60 32, 70 91 99
- Почта: bursars_office@nu.edu.kz
- Каб.: 1.248B блок 1,
- Адрес: Республика Казахстан, 010000, г. Астана, пр. Кабанбай батыра, 53
Свяжитесь с нами:
Менеджер по вопросам приема (магистратура & докторантура):
Менеджер по вопросам приема (магистратура & докторантура):
+7(7172)69-4628