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GL5043: GEOLOGICAL MODELS (2014-2015)

Last modified: 28 Jun 2018 10:27


Course Overview

The aim of this course is to develop skills in applying geological models in scientific investigations, especially in the prediction of subsurface structure and properties, together with the validation of structural interpretations.
The course involves substantial workshop-based and student-led practical work designed to provide direct experience of these key components.

Course Details

Study Type Undergraduate Level 5
Term First Term Credit Points 15 credits (7.5 ECTS credits)
Campus Old Aberdeen Sustained Study No
Co-ordinators
  • Professor Randell Stephenson

What courses & programmes must have been taken before this course?

None.

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

After completing the course students are expected to be able to:
Understand the philosophical basis and rationale for geological modelling and discuss the assumptions and uncertainties inherent in the various methods and approaches.
Use geological models to validate hypotheses and to make predictions, especially of subsurface structure and properties.
Use aspects of selected industry-standard software.

Content:
The course includes a set of 8 lectures on the philosophical basis for modelling together with introductions to lithospheric dynamics, 3D structural geology and section balancing/validation.
Key software will be introduced by hands-on workshops (3x3 hours) to introduce applications and key workflows.
Thereafter there will be extensive student-led mini-project activity with students using software to build and interrogate geological models.
The results of these exercises will be shared in group show-and-tell sessions during which the course team (and peers) will give feedback.

Further Information & Notes

This course will use the numerical and statistical methods developed in the Geoscience Research skills and data analysis course.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

1st Attempt: 50% on miniprojects, delivered through IT facilities - as a portfolio
50% examination.

Resit: Submission of the miniproject portfolio and a report.

Formative Assessment

A combination of group-based peer-review sessions moderated by the course team, with feedback given after each major task. Intermediate goals associated with miniprojects will be appraised.

Feedback

A combination of group-based peer-review sessions moderated by the course team, with feedback given after each major task and upon achievement of the intermediate goals.

Course Learning Outcomes

None.

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