Quiz — Part 6: Seismic Attributes

Part 10 — Self-Assessment Quizzes

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

§6.1 Amplitude attributes — RMS, envelope, magnitude; window length choice; gain dependence (6 Q)
§6.2 Spectral decomposition — iso-frequency volumes, tuning frequency, time-frequency uncertainty (6 Q)
§6.3 Geometric attributes — dip, azimuth, mean curvature; fault-throw estimation (6 Q)
§6.4 Coherence — semblance C2; gain independence; time-slice fault networks (6 Q)
§6.5 RGB blending — spectral blend, structural blend, three-channel limit (5 Q)
§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.