course-details-portlet

PG8406 - Petroleum Cybernetics

About

Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Passed/Failed

Evaluation form Weighting Duration Examination aids Grade deviation
work 50/100 A
Oral examination 50/100 A

Course content

The course covers the theory and application of automation and digital technologies for control, optimization and performance analytics for well construction and production processes. The following topics are covered in the course with the focus on digital and automation technologies in the oil and gas industry applications:
- Automation and digitalization in oil and gas industry
- Components of digital and automation technologies. Hierarchy of automation systems
- Modelling of dynamic processes in well construction and hydrocarbons production
- Design and tuning of automatic control systems
- Advanced process control
- Signal processing, estimation and detection systems
- Introduction to data analytics/decision support systems
- Systems engineering aspects of digital and automation technologies
- Risk evaluation and mitigation for digital and automation technologies
- Business case evaluation for digital and automation technologies

The students will get a hands-on experience in design and implementation of digital and automation technologies for petroleum applications in a simulated environment.

Learning outcome

Ingress:
In this course the students should acquire basic knowledge and skills for development and application of automation and digital technologies for control, optimization and decision support for well construction and hydrocarbons production processes.
Knowledge:
The students should know/understand the following items in their application to well construction and hydrocarbons production:
- Principles of digital and automation technologies
- Modelling principles for dynamical processes and understand various types of models (static / dynamic; linear / nonlinear; continuous-time / discrete-time; advanced models for simulations and fit-for-purpose models for control systems development)
- Components of automation technologies (controlled process, instrumentation, data acquisition system and automation infrastructure, human-machine interface, automation algorithms, actuators, safety systems)
- Methods for development of automation systems: logics-based systems, linear automatic control systems (e.g. PID controller), simple model-based control systems
- Principles of optimal control systems: model-based (e.g. Model Predictive Control) and data-driven (e.g. extremum seeking)
- Basic notions and tools of signal processing, state and parameter estimation (soft sensors, least-squares method, observers, Kalman filter)
- Systems engineering aspects for digital and automation technologies in oil and gas industry
- Risks related to introduction of automation and digital solutions in production and well construction and their mitigation
- Elements for business case evaluation for applications of automation and digital technologies for production and well construction processes
Skills:
The students will acquire basic skills to develop and tune automatic control and optimization systems for applications in well construction and hydrocarbons production; to develop basic signal processing tools; to make a technology development and implementation plan for digital and automation technologies.
General competence:
The students should acquire general competence on:
- Digital and automation technologies and the scope for their potential applications within hydrocarbons production and well construction
- Links between digital and automation technologies and other disciplines, e.g. field development, drilling & well, production technology, operations and maintenance, etc.
- Development, implementation and use of such technologies in industry

Learning methods and activities

The course will be given through lectures, self-study and exercises/projects. Depending on the course participants and their needs, the lecture and work plan will be defined in more detail between the professor and the student(s) at the beginning of the semester. The course will not be given if less than 3 students apply to take the course.
The course will be held in English.

Compulsory assignments

  • Excercise

Further on evaluation

Portfolio assessment is the basis for the grade in the course. The portfolio includes a final oral exam (50%) and evaluation of compulsory exercises (50%). The results for the parts are given in %-scores, while the entire portfolio grade is assigned as pass/fail. To pass the course a score of at least 70 percent is required. For a re-take of an examination, all assessments during the course must be re-taken.

Specific conditions

Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.

Admission to a programme of study is required:
Engineering (PHIV)
Petroleum Engineering and Applied Geophysics (PHPETR)

Required previous knowledge

MSc degree in Petroleum Engineering or approval by lecturer.

Course materials

Lecture notes, selected papers and publications.

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  SPRING 2021

No.of lecture hours: 4
Lab hours: 2
No.of specialization hours: 7

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Petroleum Engineering - Production Engineering
  • Petroleum Engineering - Drilling Engineering
  • Petroleum Engineering - Reservoir Engineering
  • Petroleum Engineering
Contact information
Course coordinator:

Department with academic responsibility
Department of Geoscience and Petroleum

Phone:

Examination

Examination arrangement: Portfolio assessment

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Spring ORD Oral examination 50/100 A
Room Building Number of candidates
Spring ORD work 50/100 A
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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