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GL5206: THE NATURE OF GEOLOGICAL AND GEOGRAPHICAL DATA (2018-2019)

Last modified: 22 May 2019 17:07


Course Overview

This course introduces students to the fundamental types of geographical, geological, offshore survey, and geophysical data used within the Oil and Gas and related industries, with special emphasis on those types of data where the spatial position is crucial to the significance of the measurements. Attention will be given to the common sources of data, acquisition and capture, storage, processing, quality control, and analysis, and representation through mapping and visualisation.

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Old Aberdeen Sustained Study No
Co-ordinators
  • Dr David Green

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

  • Any Postgraduate Programme (Studied)

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

The aim of this course is to introduce students to the fundamentals of geographical, geological, offshore survey, and geophysical data, specifically the types of data used in the Oil and Gas and related industries. This will include coverage of the following: common data and spatial data types (e.g. raster and vector) and formats (e.g. raw or processed), data encoding and compression, data models, databases, and data catalogues. Attention will be given to the common sources of data, acquisition and capture, storage, processing, analysis, and representation through mapping and visualisation. Students will also be introduced to terrestrial and marine datums and geographical and projected coordinate systems as a basis for data integration and analysis within a Geographical Information System (GIS). Examples of terrestrial, coastal/marine, offshore survey, and geophysical datasets will be used to illustrate. These will include: remote sensing data (including UAVs), geographical and hydrographic data, gravity, magnetic and seismic data. The module will conclude by briefly considering access to and sharing of data, exploratory data analysis, Big Data, and data services including data ownership and licensing.


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 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

Online Class Test (10%); Essay (30%); Spatial data loading and evaluation practical exercise (20%); Geological data preparation and loading exercise (PETREL software) (20%).

Formative Assessment

There are no assessments for this course.

Feedback

Online test:  results available immediately. Formative feedback at start of following week

Essay: Feedback within two weeks of submisssion

Spatial data loading and evaluation practical exercise: Formative feedback during inital phases of assognment. Full feedback within two weeks of submission.

Geological data preparation and loading exercise (PETREL software):

Formative feedback during initial phase of assignment. Full feedback within two weeks of submission

Course Learning Outcomes

None.

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