Module manager: Chris Green
Email: C.M.Green@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2025/26
This module is not approved as an Elective
The module explores the application of gravity and magnetic methods (i.e. analysis of gravity and magnetic field measurements) to investigate the sub-surface. It covers various approaches for how gravity and magnetic datasets may be acquired along with standard processing. It introduces more advanced techniques for data enhancement. The module also explores how a comprehensive interpretation of gravity and magnetic data may draw on standard and enhanced processing results, and specific interpretation techniques together with other geophysical and geological information.
The aim of this module is to equip students to make use of gravity and magnetic data and techniques in ways that would be applicable to a range of industries where knowledge of the sub-surface is important. Module objectives are:
1. Understand various approaches to data acquisition and their advantages and limitations.
2. Employ basic processing to make data more comprehensible and able to be integrated with other data.
3. Apply enhanced data processing techniques and evaluate their effectiveness to highlight information content of data sets.
4. Interpret gravity and magnetic data using observation of basic and enhanced data, apply specific interpretation tools and integrate the results into a useful subsurface model, making use of other information for context.
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject:
SSLO1: Demonstrate understanding of the various approaches to collecting gravity and magnetic data in the field and their impact on sub-surface interpretation.
SSLO2: Process gravity and magnetic data to standard forms, making and justifying appropriate choices in the process.
SSLO3: Assess, apply and combine enhanced processing techniques and assess their ability to highlight information contained in gravity and magnetic data.
SSLO4: Integrate gravity, magnetic and other data to generate a sub-surface model.
Skills Learning Outcomes
On successful completion of the module students will have demonstrated the following skills learning outcomes:
SLO1: Managing uncertainty, ambiguity and risk.
SLO2: Communication through written reports.
SLO3: Critical thinking and analysis.
Details of the syllabus will be provided on the Minerva organisation (or equivalent) for the module.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 8 | 2 | 16 |
| Practical | 7 | 2 | 14 |
| Seminar | 1 | 2 | 2 |
| Private study hours | 118 | ||
| Total Contact hours | 32 | ||
| Total hours (100hr per 10 credits) | 150 | ||
You will receive formative feedback on a group presentation you will deliver. Your presentations will be a critique of published work related to the module content, and will thus allow you to embed key concepts taught in class up to that point.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Coursework | Coursework | 100 |
| Total percentage (Assessment Coursework) | 100 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
The reading list is available from the Library website
Last updated: 29/04/2025
Errors, omissions, failed links etc should be notified to the Catalogue Team