Master of Science in Petroleum Engineering
JPT/BPP(R3/0724/7/0003)05/30
R3/0724/7/0003
A11414
Introduction
The master's program in Petroleum Engineering is an interdisciplinary field that applies engineering principles to the development of commercial oil and gas fields. The program provides graduates and practicing engineers with advanced knowledge in the areas of reservoir engineering, production technology, and drilling engineering. The MSc in Petroleum Engineering program focuses on applying recent advances in reservoir engineering, production technologies, formation evaluation, drilling technologies, and analysis, including drilling fluid and cementing, casing design, and project management, economics. Programme Objective
The programme educational objective of the programme is to produce:
-
Petroleum Engineers specialists with insights to articulate complex industry problems and solutions.
-
Industry leaders with integrity towards sustainable future development through continuous improvement and innovation for the betterment of society.
Programme Outcomes
Upon graduation the candidates shall be able to:
- Demonstrate in-depth and frontier knowledge and understanding in the relevant petroleum engineering fields.
- Critically and creatively apply knowledge in the petroleum engineering field to resolve complex disciplinary and practical problems.
- Conduct credible problem-solving or investigation to resolve complex issues and questions in the petroleum engineering field or practice.
- Conduct research or investigation with minimal supervision, adhering to legal, ethical, professional, and sustainable practice.
- Demonstrate leadership qualities through collaboration with peers and others.
- Communicate and interact effectively with peers in the drilling engineering field as well as general audience.
- Select and use suitable digital and analytical tool techniques to resolve problems.
- Demonstrate commitment to lifelong learning and personal development.
Graduation RequirementsIn order to graduate with a Master of Science in Petroleum
Engineering degree, students are required to:
-
Obtain a minimum cumulative grade point average (CGPA) of 3.00
-
Satisfy all the requirements approved by UTP Senate.
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Fulfill 41 credit hours and pass the Research Methodology course.
Course Duration and Offering
Duration : 12 months to 36 months Offering : This course is available in Full-Time only.
Entry Requirements
a) Academic RequirementsThe entry requirement for admission to MSc in Petroleum Engineering
is shown as below:
- Candidates must hold a BSc Degree in Engineering/ Engineering Technology discipline with minimum CGPA 2.50/4.00 or equivalent in the relevant field from a recognized university.
- Candidates with BSc Degree in Engineering/Engineering Technology discipline with minimum CGPA 2.00 but below 2.50, can be admitted and must have 5 years working experience & pass UTP internal rigorous assessment.
- Candidates with BSc Degree qualification from different discipline, must undergo pre-requisite courses in Engineering/ Engineering Technology.
b) English Requirements
Pass English requirement with a minimum score of:
-
Engineering Programmes - IELTS - 5.0, TOEFL - 500
-
Science/PhD. in Management/PhD. in Social Science & Humanities Programmes – IELTS – 6.0, TOEFL - 550
However, this requirement is waived if candidates:
- have obtained Bachelor / Master or other relevant degrees from Malaysian recognized institution whereby all courses are fully conducted in English or;
- a native of an English-speaking country or;
- graduated from English-speaking countries institutions
Enrolment Mode
The programme offered is only for full-time basis, based at Universiti Teknologi PETRONAS where all the lectures are held on the campus.
Programme Curriculum Structure
Each student is required to complete 41 credit hours drives from 12 state-of-the-art courses. The programme curriculum structure is shown as below:
Semester 1
|
|
PCM5123
PCM5133
SCN5032
PCM5144
PCM5143
|
Reservoir Engineering
Drilling Engineering
Research Methodology
Formation Evaluation
Drilling Fluids & Cementing
Total (Semester 1)
|
3
3
2
4
3
15
|
Core
Core
National Requirement
Core
Core
|
Semester 2
|
|
PCM5153
PCM5164
PCM5183
SCU5013
PCM5223
|
Welll Test Analysis
Production Engineering
Project Management & Economics
Data Analytics
Individual Research Project 1
Total (Semester 2)
|
3
4
3
3
3
16
|
Core
Core
Core
University Requirement
Project
|
Semester 3
|
PCM5173
PCM5227
|
Reservoir Simulation
Individual Research Project 2
Total
|
3
7
10
|
Project
|
Total Credit Hours
|
41
|
|
Programme Module Synopsis
Course Code
Module
Credit Hour
PCM 5123
Reservoir Engineering
3 credits
The course goal is to expand and further build up student knowledge and background in reservoir engineering. It starts with discussing rock and fluid properties of oil and gas reservoirs. It examines oil and gas reservoirs performance. The course puts more focus on fluid flow in porous media through analysing reservoir performance using analytical techniques such as material balance, decline curve analysis and water influx calculations. Introduction to the EOR and its environmental impacts will be explained. A brief introduction to reservoir simulation will be covered. The topics discussed in this course will be useful in well testing applications, well placement, water flooding planning and management, and reservoir modelling. Upon completion of the course, the student should have mastered the various analytical techniques of handling oil and gas reservoirs.
Course Code
Module
Credit Hour
PCM 5144
Formation Evaluation
4 credits
The module introduces geological concepts, Petroleum System and geophysics to the students, then concentrates on the material closely associated with petroleum reservoir rocks, including the environment of deposition. The major focus of this module is formation evaluation by well logging data. It will cover an overview of the techniques and operations, followed by discussion of main attributes for reservoir description and performance monitoring.
Course Code
Module
Credit Hour
PCM 5153
Well Test Analysis
3 credits
This course will focus on the different types of tests and techniques, both analytical and graphical, for data representation and analysis of well tests. This will include analysis of semi-log plot, Cartesian plot and diagnostic-derivative log-log plot for different flow regimes during draw-down, and build-up tests and also using type curve matching technique. Students will also learn about the interpretation of complex data, such as those from well test in naturally fractured reservoirs and hydraulically fractured wells. Students should also learn about interpretation and analysis of RFT data.
Course Code
Module
Credit Hour
PCM 5164
Production Engineering
4 credits
This module introduces the production system from reservoir to surface as a series of pressure drops and discusses the theoretical background to the flow regimes found in each section. The completion practices and equipment are developed along with perforating techniques and methods of determining well/ reservoir problems. Remedial solutions are developed along with the techniques of delivering these solutions. The use of artificial lift (including gas lift) is discussed and the design requirements worked through. The main areas concerning the reservoir are formation damage, acidizing and hydraulic fracturing. The module also discusses problems associated with production chemistry and flow assurance.
Course Code
Module
Credit Hour
PCM5173
Reservoir Simulation
3 credits
The course gives the theoretical basis for numerical simulation of fluid flow in petroleum reservoirs. The derivation of partial differential equations required for multiphase fluid flow in porous media are covered, as well as numerical methods for solving the equations using finite difference methods. Input data requirements and applications of simulation models for history matching and prediction of field performance are discussed. It also covers identification of reservoir parameters in relation to the analysis of parameters’ impact on simulation output by sensitivity and uncertainty analysis.
Course Code
Module
Credit Hour
PCM 5133
Drilling Engineering
3 credits
This module focuses on imparting theory and knowledge of functions, materials and design of casing and tubulars that enables the students to have the skills to analyze the drilling window and kick tolerance. This course also evaluates the conformance to safety factors under applied external and internal loadings using both manual and computer simulation to select the optimum casing design taking into consideration all API standards. Additionally, students will be able to design drill string and bits to prevent drill string failure Landmark software is a key tool used in this course. Students will also be able to evaluate torque and drag associated with each trajectory, operating limits to prevent buckling, and pressure drops for different pipe sizes to select the best drill pipe option.
Course Code
Module
Credit Hour
PCM5143
Drilling Fluids & Cementing
3 credits
Drilling fluids are critical to maintaining well control and wellbore stability throughout the drilling operation. This course provides an overview of the various types of drilling and completion fluids, mud circulating system, and common drilling fluid properties and measurements. Drilling fluid performance evaluation as well as the fluid requirements for deviated wells & HTHP wells are presented. The second part of this course presents the fundamentals of cementing rheology and cementing basis of design to allow students to design cement slurry that satisfies well requirements and API standards. Finally, cementing challenges, liner cementing design considerations and cement evaluation steps & tools are discussed.
Course Code
Module
Credit Hour
PCM5183
Project Management & Economics
3 credits
The student will learn project management economics and management principles and able to apply this knowledge in managing upstream project. Student will learn on how to apply the critical project and risk management concepts that are required to run drilling projects in a safe, efficient, cost-effective, and environmentally-friendly manner. This course will also be provide an overview of exploration and production project economic evaluation, risks and uncertainty and how to manage them. The student will also learn concepts of project finance and administration, and supply chain management.
Course Code
Module
Credit Hour
SCU5013
Data Analytics
3 credits
In this course we explore key data analysis techniques, which can be applied to massive datasets to enable real-time decision making. In particular, we examine the software tools that make possible the efficient analysis of data in near real time. Students are expected to make use of said tools to design highly scalable systems that can process and analyze big data for a variety of scientific, social, and environmental challenges.
Course Code
Module
Credit Hour
SCN5032
Research Methodology
2 credits
The course covers Fundamentals of Research Methodology and Applied Sciences.
