Practical Quantitative Interpretation (PQI)

Utilizing Pre-Stack Seismic Data for Rock Physics and Classification

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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.

Content duration: (12:02:06)

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    Chapter 2 - Seismic Data 5:26:42

    2.01 Seismic Data (19:36)

    2.02 Seismic Data - Well Ties (18:45)

    2.03 Seismic Data Condition and Conditioning (36:19)

    2.04 Case Study - Can Interpolation Improve QI? (27:35)

    2.05 AVO (25:21)

    2.06 Velocity Modeling (23:21) Quiz

    2.07 Sonic Log (37:26) Quiz

    2.07a AVO Tutorial (29:17)

    2.08 Inversion (31:32) Quiz

    2.09 Pre-stack Inversion (19:22)

    2.10 Case Study (17:50)

    2.11a Stochastic Inversion (09:02)

    2.11b Inversion Tutorial (16:16)

    Chapter 3 - Classification Using QI 2:40:27

    3.01 Multi-Attribute Analysis (23:34)

    3.02 Classification Intro (27:19)

    3.03a Classification (32:13) Quiz

    3.03b Classification Example (1:12:21)

    Chapter 4 - Advanced Topics 1:14:26

    4.01 4D Reservoir Monitoring (09:47)

    4.02 Multi Component Data (43:31)

    4.03 QI Summary (21:08)