Practical Quantitative Interpretation (PQI)
Utilizing Pre-Stack Seismic Data for Rock Physics and Classification
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.
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Content duration: (11:32:06)
Chapter 1 - Overview of Quantitative Interpretation
(2:30:31)
1.01 Introduction (25:35)
Sample Lesson
1.02 Rock Physics
(40:23)
1.03 Well Data
(48:20)
1.04 Case Studies
(36:13)
Chapter 2 - Seismic Data
(5:11:42)
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)
2.07a AVO Tutorial
(29:17)
2.07 Sonic Log
(37:26)
2.08 Inversion
(31:32)
2.09 Pre-stack Inversion
(19:22)
2.10 Case Study
(17:50)
2.11a Inversion Tutorial
(16:16)
2.11 Stochastic Inversion
(09:02)
Chapter 3 - Classification Using QI
(2:35:27)
3.01 Multi-Attribute Analysis
(23:34)
3.02 Classification Intro
(27:19)
3.03a Classification Example
(1:12:21)
3.03 Classification
(32:13)
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)
Chapter 1 - Overview of Quantitative Interpretation (2:30:31)
1.01 Introduction (25:35) Sample Lesson
1.02 Rock Physics (40:23)
1.03 Well Data (48:20)
1.04 Case Studies (36:13)
Chapter 2 - Seismic Data (5:11:42)
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)
2.07a AVO Tutorial (29:17)
2.07 Sonic Log (37:26)
2.08 Inversion (31:32)
2.09 Pre-stack Inversion (19:22)
2.10 Case Study (17:50)
2.11a Inversion Tutorial (16:16)
2.11 Stochastic Inversion (09:02)
Chapter 3 - Classification Using QI (2:35:27)
3.01 Multi-Attribute Analysis (23:34)
3.02 Classification Intro (27:19)
3.03a Classification Example (1:12:21)
3.03 Classification (32:13)
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)
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