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TR

WELL LOGGING

Course
PNGE350 - WELL LOGGING
Department
Petroleum and Natural Gas Engineering - English - Undergraduate
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
6
T+P+L
3 + 0 + 0
Course Coordinator(s)
Asst. Prof. Dr. Hilmi DİNDAR
Prerequisite
-
Keywords

Course Description

The course is designed to convey the understanding of well logging to the students. When exploration drilling is carried out usually at greater depths, the cores and sludghes obtained give significant information about the underground. However, especially when petroleum and natural gas exploration is in question, extra geophysical information is required to arrive at a result. In this context, the following topics will be underlined: Introduction to the fundamental concepts in well logging, necessary equipment for well logging, characteristics of well logging equipment, investigation of the nearby wellbores and geological-geophysical characteristics, electrical properties of different rock types, SP log, normal and lateral logs, laterologs, dual laterolog, induction logs, dual induction log, microresistivity logs, conventional interpretation techniques, computer aided interpretation techniques with specialized softwares.

WELL LOGGING

Evaluation Tools (Active Term)

Item Type Weight (%)
mt Midterm 40
final Final 40
essay Assignment 20
Total 100

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Week Topic
Week 1 Introduction to Logging
Week 2 Introduction to Logging
Week 3 Measurement Environment
Week 4 Borehole Environment
Week 5 Resistivity Logging
Week 6 Spontaneous Potential (SP) Logs
Week 7 Spontaneous Potential (SP) Logs
Week 8 Gamma Ray (GR) Logs
Week 9 Gamma Ray (GR) Logs
Week 10 Neutron Logs
Week 11 Neutron Logs
Week 12 Sonic (acoustic) Logs
Week 13 Sonic (acoustic) Logs
Week 14 Density Logs
Week 15 Density Logs

Reference Books & Course Materials

  1. 01 Theory, Measurement and Interpretation of Well Logs – Dr. Zaki Bassiouni (Society of Petroleum Engineers
  2. 02 Schlumberger Log Interpretation Charts

Learning Outcomes

  1. L01 Describe the fundamental principles of well logging, borehole environmental factors, and the necessary specialized equipment used in petroleum exploration SOLO 3
  2. L02 Interpret different geological and geophysical logs, including Spontaneous Potential (SP), resistivity, Gamma Ray (GR), neutron, sonic, and density logs SOLO 3
  3. L03 Analyze subsurface formations by applying conventional logging interpretation techniques to evaluate rock electrical properties and fluid characteristics SOLO 4
  4. L04 Develop digital wellbore log interpretation workflows using specialized computer-aided software tools to solve complex reservoir engineering exploration problems SOLO 5

Program Outcomes

  1. Knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline.
  2. Ability to apply knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline to the solution of complex engineering problems.
  3. Ability to define complex engineering problems by using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) related to the problem addressed.
  4. Ability to formulate complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
  5. Ability to analyse and solve complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
  6. Ability to design creative solutions to complex engineering problems.
  7. Ability to design complex systems, processes, devices, or products in a way that meets present and future needs while considering realistic constraints and conditions.
  8. Ability to select and use appropriate techniques and resources—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
  9. Ability to select and use modern engineering and computational tools—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
  10. Ability to conduct literature research and use appropriate research methods for the investigation of complex engineering problems.
  11. Ability to design experiments for the investigation of complex engineering problems.
  12. Ability to conduct experiments, collect data, analyse results, and interpret findings for the investigation of complex engineering problems.
  13. Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the framework of the United Nations Sustainable
  14. Awareness of the legal implications of engineering solutions within the framework of the United Nations Sustainable Development Goals (SDGs).
  15. Knowledge of ethical responsibility and adherence to the principles of professional engineering conduct.
  16. Awareness of acting impartially without discrimination in any matter and of being inclusive of diversity.
  17. Ability to work effectively as an individual.
  18. Ability to work effectively as a team member or leader in intra-disciplinary teams (face-to-face, remote, or hybrid).
  19. Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote, or hybrid).
  20. Ability to communicate effectively in spoken form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
  21. Ability to communicate effectively in written form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
  22. Knowledge of professional practices such as project management and economic feasibility analysis.
  23. Awareness of entrepreneurship and innovation.
  24. Ability for independent and lifelong learning.
  25. Ability to adapt to new and emerging technologies.
  26. Lifelong learning ability that includes the capacity to think critically about technological changes.

Po-Lo Matrix

LO Average
L01 5 5 5 0 0 5 0 0 0 5 0 5 0 0 0 0 5 5 0 0 0 0 0 5 0 5 1.92
L02 5 0 0 0 0 0 0 0 5 5 5 0 5 0 0 0 5 0 5 0 0 0 0 5 0 5 1.73
L03 3 3 3 0 0 0 0 3 0 3 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.69
L04 5 5 5 5 5 5 5 5 5 5 5 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2.31