SAGD dynamic reservoir property characterization using machine learning
Author:
Affiliation:
1. ConocoPhillips, Houston, TX
2. ConocoPhillips, Canada
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2018-2996228.1
Reference7 articles.
1. Byerley, G., G. Barham, T. Tomberlin, and B. Vandal, 2009, 4D seismic monitoring applied to SAGD operations at Surmont, Alberta, Canada: 79th Annual International Meeting, SEG, Expanded Abstracts, 3959–3963, 10.1190/1.3255695.
2. Time-lapse reservoir property change estimation from seismic using machine learning
3. Seismic monitoring of steam‐based recovery of bitumen
4. Schmitt, D. R., 2004, Rock physics of heavy oil deposits. ANuual CSEG Convention, Extended Abstract.
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1. Petrophysical Predictions Using Regression and Advanced Machine Learning Algorithm;Handbook of Petroleum Geoscience;2022-10-14
2. Machine-Learning Approach for Forecasting Steam-Assisted Gravity-Drainage Performance in the Presence of Noncondensable Gases;ACS Omega;2022-06-07
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