Quiz — Part 7: Reservoir Characterization & QI
Learning objectives
- Self-test mastery of Part 7: QI workflow, RPT calibration, pre-stack inversion, rock-property transforms, probabilistic facies, Monte Carlo volumetrics
- Identify weak Part 7 topics before tackling Part 8 (Advanced QI Topics)
- Re-run with fresh draws to reinforce the QI pipeline thinking
Self-assessment quiz drawn from a 40-question bank covering all six sections of Part 7 — Reservoir Characterization & QI. The quiz randomly selects 20 questions per session.
Part 7 is the LARGEST and MOST INTEGRATIVE quiz so far — covering the entire QI pipeline from raw seismic to a Monte Carlo STOOIP distribution. Many questions test workflow understanding (“which stage produces this deliverable?”), RPT reading (“where does the gas sand cluster move?”), and uncertainty quantification (“how do you communicate non-deterministic results to a drilling decision?”).
What this quiz tests
- §7.1 Six stages of the QI pipeline; integration with Parts 3–6; common project failure modes (6 Q)
- §7.2 Rock-physics templates: Ip vs Vp/Vs axes; rock cluster locations; Gassmann motion (7 Q)
- §7.3 Inversion basics: forward model, low-frequency model, engine families, wavelet estimation (7 Q)
- §7.4 Reading inversion products: transforms, NET PAY, uncertainty propagation by property (7 Q)
- §7.5 Probabilistic facies: Bayes’ rule, Gaussian likelihoods, confidence maps, combined-class probabilities (7 Q)
- §7.6 Reservoir model: STOOIP Monte Carlo, P10/P50/P90, tornado diagrams, business decisions (6 Q)
This is the most demanding Part 10 quiz — if you can pass it reliably, you have the QI pipeline well understood end-to-end. The 20-question draw is larger than other parts because Part 7 has the most integrated workflow knowledge to test.
References
- Mavko, G., Mukerji, T., & Dvorkin, J. (2009). The Rock Physics Handbook (2nd ed.). Cambridge University Press.
- Hilterman, F. (2001). Seismic Amplitude Interpretation. SEG/EAGE Distinguished Instructor Short Course.
- Bacon, M., Simm, R., & Redshaw, T. (2003). 3-D Seismic Interpretation. Cambridge University Press.
- Goodway, B., Chen, T., & Downton, J. (1997). Improved AVO fluid detection and lithology discrimination using Lamé petrophysical parameters. SEG Annual Meeting Expanded Abstracts, 183–186.