2022/23 Taught Postgraduate Module Catalogue

SOEE5176M Advanced Structural Modelling and Data Analytics

20 creditsClass Size: 45

Module manager: Dr Sjoerd De Ridder
Email: S.Deridder@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2022/23

Pre-requisite qualifications

MSc entrance qualifications

This module is mutually exclusive with

SOEE5171M

Seismic Reflection Interp

Module replaces

SOEE5174M

This module is not approved as an Elective

Module summary

This module provides theoretical and practical learning focusing on integrating a suite of sub-surface data into a common data set to allow for the learning and skills achieved throughout the rest of the programme to be integrated. in to a single coherent structural model. The module is divided into three parts: A) 3D seismic reflection interpretation, attribute analysis and complex structural models, B) 3D geocellular model construction, data analytics and evaluation of structural implications, and C) the final integrated practical whereby a suite of data is provided and students, within a group environment, are expected to integrate these data and make an industry-style report on asset.

Objectives

On completion of this module students should be able to understand the underlying principals behind 3D seismic reflection data, attribute analysis and constructions of fault models. They should be able to take diverse data and integrate them into a single dataset. This will provide the opportunity to investigate how these different techniques are integrated in a workflow typical in both industry and the final independent research project.

Learning outcomes
In Part A students will build upon 2D seismic interpretation skills from semester 1 to develop skills in 3D interpretation. They will continue to develop their understanding of the principles and practice of interpreting seismic reflection data, in both a general geological and structural context and in a detailed sequence-stratigraphic context and will develop an understanding of the principles of rock physics applied to quantitative seismic interpretation. At the end of part A, students should have acquired skills to produce 3D geological models based on the interpretation of 2D seismic lines and 3D seismic cubes.

In part B students will apply industry-standard 3D modelling/visualisation packages to building structural models and consider the relationship between model horizons and faults. They should be able to construct 3D geo-cellular models and considered their application. They will have an understanding of the uses of Data Analytics for identifying patterns of behaviour in sub-surface data.

In part C students will integrate the learning outcomes from the first part of the module, and from across the rest of the programme, by integrating multiple data sources to evaluate geological structure and the structural controls of the sub-surface environment. This will be undertaken as a group exercise to highlight the importance of team work in industry.

Syllabus

Part A:
Seismic interpretation, seismic attributes and complex structural models:
- Context of reflection seismic data and basic principles of interpretation using hand and computer algorithms
- Production of subsurface structural maps (contour and thickness maps)
- Well-to-seismic tie
- Velocity models, depth conversion
- Use of seismic attributes and rock physics principles for quantitative interpretation
- Complex structural seismic interpretation case studies

Part B:
- The generation and interrogation of a faulted 3d geological data set within the 3D modelling programme, Petrel.
- Creating 3D surfaces and faults, geocellular volumes.
- Data Analytics and 3D structure

Part C:
- Integrate the learning outcomes from Parts A and B with the broader learning outcomes of the programme using an integrated data volume in a group setting with minimum support provided by staff

Teaching methods

Delivery type	Number	Length hours	Student hours
Workshop	4	6.00	24.00
Group learning	1	60.00	15.00
Lecture	10	1.00	10.00
Practical	8	2.00	16.00
Private study hours			135.00
Total Contact hours			65.00
Total hours (100hr per 10 credits)			200.00

Private study

Private study will be for completion of practicals, assessments and final reports (to include literature searches, reading text books, computer exercises)

Opportunities for Formative Feedback

Progress will be monitored by assessment and feedback throughout.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Report	Part A – 2 x Assessed Practical	45.00
Report	Part C - 1 x Individual Report	45.00
Presentation	Part C - 1 x Group Presentation	10.00
Total percentage (Assessment Coursework)		100.00

Outcomes for Part B will be assessed within Part C assessment

Reading list

The reading list is available from the Library website

Last updated: 26/05/2022 14:15:15

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