Basic Subsurface Interpretation Methods (GEO220)

Content

• Introduction to the subsurface interpretation software
• Introduction to the subsurface geology of the Norwegian Continental Shelf
• Seismic and well data interpretation
• Synthetic seismogram
• Basic mapping of reservoirs
• Generation of deliverables for report and presentation
• Techniques for fault interpretation
• Depth conversion
• Reservoir model
• Note: A two-day intensive software course (e.g. Petrel) is offered at the beginning of the semester. Participation in the two-day course is highly recommended as all following activties during the semster will be done using the software.

Learning outcome

This course is based on the application of concepts that have been provided in previous courses in the area of petroleum geology, structural geology, stratigraphy and geophysics through the use of specialized interpretation software.

Knowledge:

• Fundamental background on how to build a subsurface 3D model
• Knowledge on basic well correlation and time intervals in sedimentary basins
• Knowledge on the geologcail significance of subsurface mapping and importance for energy exploration and production

Skills:

• Be able to built a subsurface earth model using leading edge software tools.
• Be able to integrate geological and geophysical data in order to build a subsurface model.
• Be able to to correlate well and seismic data using time/depth relationships and syntethic seismograms.
• Be able to make oral presentations in order to provide an overview of the geological model and provide guidelines for exploration and production.

General competence:

• Have fundamental skills on integration of different types of subsurface geophysical and geological data and provide the understanding for other engineering activities such as drilling and reservoir.
• To communicate and make technical presentations in the area of expertise.

Required prerequisite knowledge

Recommended prerequisites

Exam

Coursework requirements

Course teacher(s)

Course teacher:

Course coordinator:

Study Program Director:

Programme coordinator:

Head of Department:

Method of work

Course participation is highly recommended as of the training of computer/software skills and application of exercises in the laboratory.

Four hours a week of lectures (theory and computer program introduction) and at least four hours a week of laboratory practicals to develop the course project.

Open for

Course assessment

Literature