Last modified: 05 Aug 2021 13:04
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.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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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.
| Assessment Type | Summative | Weighting | 20 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Formative feedback during initial phases of assignment. Full feedback within two weeks of submission |
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| Knowledge Level | Thinking Skill | Outcome |
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| Assessment Type | Summative | Weighting | 30 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Feedback within two weeks of submission |
Word Count | ||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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| Assessment Type | Summative | Weighting | 20 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Formative feedback during initial phase of assignment. Full feedback within two weeks of submission |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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| Assessment Type | Summative | Weighting | 20 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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| Assessment Type | Summative | Weighting | 10 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Online test: results available immediately. Formative feedback at start of following week |
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| Knowledge Level | Thinking Skill | Outcome |
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There are no assessments for this course.
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Understand | Able to demonstrate a full appreciation of the specific challenges presented by geological, engineering and spatial data as used within the Oil and Gas industry |
| Procedural | Evaluate | Students will be able to critically evaluate the reliability and usability of data gathered by the Petroleum industry |
| Procedural | Create | Able to interact productively with experts in related disciplines on analysing and applying petroleum data to business problems |
| Procedural | Apply | Able to apply knowledge of data gathering and processing requirements as the foundation for applied analysis and problem solving |
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