Quiz, Part 6: Seismic Attributes
Learning objectives
- Self-test mastery of Part 6: amplitude attributes, spectral decomposition, geometric attributes, coherence, RGB blending, reservoir characterization
- Identify weak Part 6 topics before tackling Part 7 (Reservoir Char & QI) and Part 8 (Advanced QI)
- Re-run with fresh draws to reinforce attribute interpretation patterns
Self-assessment quiz drawn from a 35-question bank covering all six sections of Part 6, Seismic Attributes. The quiz randomly selects 15 questions per session.
Attribute interpretation is largely PATTERN RECOGNITION + DISCIPLINE: knowing what each attribute responds to, when each fails, and how to combine multiple attributes for confidence. Most questions here are scenario-based (“you see X on attribute Y; what does it mean?”) with some computational items (tuning frequency, fault throw from dip, RGB color reading).
What this quiz tests
- Section 6.1 Amplitude attributes, RMS, envelope, magnitude; window length choice; gain dependence (6 Q)
- Section 6.2 Spectral decomposition, iso-frequency volumes, tuning frequency, time-frequency uncertainty (6 Q)
- Section 6.3 Geometric attributes, dip, azimuth, mean curvature; fault-throw estimation (6 Q)
- Section 6.4 Coherence, semblance C2; gain independence; time-slice fault networks (6 Q)
- Section 6.5 RGB blending, spectral blend, structural blend, three-channel limit (5 Q)
- Section 6.6 Reservoir characterization, horizon gates, four DHIs, conformance, tuning vs hydrocarbon (6 Q)
Master attribute interpretation patterns and you have the visual vocabulary for any modern interpretive workflow. Combined with rock-physics (Part 5) + structural framework (Part 3), the attribute toolkit is what every QI-driven exploration program runs on.
References
- Chopra, S., & Marfurt, K. J. (2007). Seismic Attributes for Prospect Identification and Reservoir Characterization. Society of Exploration Geophysicists.
- Marfurt, K. J., Kirlin, R. L., Farmer, S. L., & Bahorich, M. S. (1998). 3-D seismic attributes using a semblance-based coherence algorithm. Geophysics, 63(4), 1150-1165.
- Roberts, A. (2001). Curvature attributes and their application to 3D interpreted horizons. First Break, 19(2), 85-100.
- Partyka, G., Gridley, J., & Lopez, J. (1999). Interpretational applications of spectral decomposition in reservoir characterization. The Leading Edge, 18(3), 353-360.