GEO 152
Structural Interpretation of Seismic Data
COURSE OVERVIEW
Structural interpretation of seismic data is essential for understanding subsurface geometry, fault systems, fractures, and tectonic evolution in exploration and production projects.
This course introduces the principles and workflows used in structural seismic interpretation, integrating geological concepts with 2D and 3D seismic data analysis. Participants will learn techniques for identifying and mapping structural features, evaluating uncertainties, and applying geomechanical concepts to seismic interpretation. The course combines lectures, practical exercises, and case studies from different tectonic settings to strengthen interpretation skills and improve subsurface understanding. Emphasis is also placed on data limitations, alternative interpretations, and modern software-based structural analysis workflows.
COURSE SCHEDULE
| Code | Date | Location | price (€) |
|---|---|---|---|
| GEO 152 | 16 - 20 Mar 2026 | Online | 3300 |
| GEO 152 | 14 - 18 Sep 2026 | Dubai | 4400 |
COURSE OUTLINE
5 days
Day 1:
o Introduction
o The importance of structural geology
o Defining the structure
o Interpretation of seismic data
o Geomechanical analysis
o Extensional tectonics 1
Day 2:
o Extensional tectonics 2
o Basin-scale faulting
o Extension at continental margins
o Case study
o Folds and folding mechanisms
Day 3:
o Contractional tectonics
o Thrust geometries
o Inversion tectonics
o Recognition of inversion on seismic
Day 4:
o Strike slip tectonics
o Characteristic strike-slip fault geometries
o Recognition in seismic data
o Salt tectonics
o Mechanisms of salt flow
o Growth and geometry
o Case studies: Trinidad & Assam strike-slip
Day 5:
o Fault seal analysis
o Use of seismic data in seal analysis
o luid properties for use in seal analysis
o Use in reservoir modelling
o Case studies: NW Europe, Algeria
o Fractured reservoirs
o How seismic data can assist fractured reservoir analysis.
o Recognition of fractured reservoirs & influence on reservoir performance
o Case study: Kuwait
INSTRUCTOR
Instructor Profile
Instructor is a structural geologist with extensive experience in hydrocarbon exploration, appraisal, and production across basin, field, and core scales. Professional experience has included roles at BP Exploration, Badley Earth Sciences, Robertson Research, and as Senior Project Manager at Rock Deformation Research Ltd.
Instructor work has been carried out in multiple regions including the North Sea, Middle East, Africa, South America, and the Gulf of Mexico. Expertise has been developed in structural restoration, model building, fault and fault seal analysis, and fracture characterization using core and image logs.
He has more than 30 years of industry experience has been gained, involving large and complex datasets across multiple scales. In addition, contributions have been made to training and mentoring geoscientists, including serving as Visiting Senior Lecturer at Leeds University and delivering international training courses in structural geology and fractured reservoirs.
FAQ
DESIGNED FOR
All those interested in understanding the impact Machine Learning will have on the Geosciences and then specifically the impact on facies prediction on log data. Hence, geologists, geophysicists and petroleum and reservoir engineers, involved in exploration and development of hydrocarbon fields.
COURSE LEVEL
o Intermediate
LEARNING OBJECTIVES
At the end of this course participants will be able to recognize and map seismic facies belts, sediment distribution systems and litho-facies belts, and use this data for prospectivity assessment. The course spends at least 50% of the time on seismic interpretation exercises, based on data from a wide variety of geological settings. Lectures on theory and background alternate with exercises.
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Ph.D. students, group and early bird registrants are eligible to DISCOUNT!
For more details and registration please send email to: register@petro-teach.com
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