Course: Well Log Analysis

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Course title Well Log Analysis
Course code KGE/XWLA
Organizational form of instruction Lecture + Exercise
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 5
Language of instruction English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Mansurbeg Howri, Ph.D.
  • Bábek Ondřej, prof. Mgr. Dr.
  • Martínek Karel, Mgr. Ph.D.
Course content
Four hours teaching blocks will comprise lectures on: 1) Well logging introduction; environment, methods and applications overview 2) Temperature, Calliper and Self-potential logs 3) Resistivity, conductivity, gamma ray and spectral gamma ray logs 4) Sonic/acoustic, density, photoelectric and neutron logs 5) Dipmeter, imaging and combined logging tools 6) Lithology reconstructions, facies/depositional environments 7) Stratigraphy, Case studies, Novel trends (nanoparticles, neural networks, ...) Lectures will be followed by practicals organized also to 4 hr blocks: 1) Data formats, editing, pre-processing (Base/Access) 2) Data Import/Export, Creating and exporting logs (Calc/Excel) 3) Graphic representations of logs, importing logs (Draw/Corel Draw) 4) Stratigraphic correlations, case studies (Resistivity and Gamma ray logs) 5) Stratigraphic correlations, case studies (other geophysical logs logs) 6) Introduction to MOVE or Petrel well log tools 7) Well log correlation panels and 3D fence diagrams (MOVE or Petrel) Practicals will be held in computer rooms using these software packages: 1) Open Office (Base, Calc, Draw), or Microsoft Office (Access, Excel) + Corel Draw 2) MOVE or Petrel

Learning activities and teaching methods
unspecified
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
unspecified
written exam + coursework + presentation
Recommended literature
  • Ashraf et al. (2019). Classification of reservoir facies using well log and 3D seismic attributes for prospect evaluation and field development: A case study of Sawan gas field, Pakistan. , Journal of Petroleum Science and Engineering. Volume 175, p. 338-351.
  • Darling T. (2006). WELL LOGGING AND FORMATION EVALUATION. Elsevier.
  • Ellis D. V., Singer J. M. (2008). Well Logging for Earth Scientists. 2nd ed.. Springer.
  • He et al. (2019). Using neural networks and the Markov Chain approach for facies analysis and prediction from well logs in the Precipice Sandstone and Evergreen Formation, Surat Basin, Australia. Marine and Petroleum Geology.
  • Khan et al. (2019). Plio-Pleistocene stratigraphic sequences and depositional model using 3D seismic interpretation constrained by well logs in Central Graben, North Sea. , J Earth Syst Sci (2019) 128: 85.
  • Ramesh A. (2016). WELL LOGGING PRINCIPLES INTERPRETATION AND APPLICATION. PhD Thesis. Ambedkar Univ. Shrikakulam.
  • Rider M. (2002). The Geological Interpretation of Well Logs. 2nd edition. Rider-French Consulting.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester