Practical Quantitative Interpretation (PQI) Course

Utilizing Pre-Stack Seismic Data for Rock Physics and Classification

Laurie Weston

Traditional seismic processing involves “stacking” seismic traces. Although effective in reducing noise, this procedure eliminates valuable information contained within the “pre-stack” seismic volume. Quantitative interpretation (QI) is the modern way to leverage pre-stack seismic data and, combined with rock physics, reveal rock properties and classify lithologies. Unique properties within a zone of interest can then be correlated to production performance to drive field development planning.Read more...

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Course contents

    Chapter 2 - Seismic Data

    2.01 Seismic Data (19 min.)

    2.02 Seismic Data - Well Ties (18 min.)

    2.03 Seismic Data Condition and Conditioning (36 min.)

    2.04 Case Study - Can Interpolation Improve QI? (27 min.)

    2.05 AVO (25 min.)

    2.06 Velocity Modeling (23 min.) Quiz

    2.07 Sonic Log (37 min.) Quiz

    2.07a AVO Tutorial (29 min.)

    2.08 Inversion (31 min.) Quiz

    2.09 Pre-stack Inversion (19 min.)

    2.10 Case Study (17 min.)

    2.11a Stochastic Inversion (9 min.)

    2.11b Inversion Tutorial (16 min.)

    Chapter 3 - Classification Using QI

    3.01 Multi-Attribute Analysis (23 min.)

    3.02 Classification Intro (27 min.)

    3.02a Classification (32 min.) Quiz

    3.02b Classification Example (1:12 hours)

    Chapter 4 - Advanced Topics

    4.01 4D Reservoir Monitoring (9 min.)

    4.02 Multi-Component Data (43 min.)

    4.03 QI Summary (21 min.)