Rock physics and Hydrocarbon Prediction


Rock physics and Hydrocarbon Prediction

Rock Physics is a key element in quantitative interpretation for better reservoir characterization and hydrocarbon prediction. This course will provide the attendee the basics of Rock Physics by examining the link between elastic properties and hydrocarbon reservoirs. The course will focus not only on the theoretical aspects but also on the practical application using open source computation software: Python.

The topics that will be discussed in this course are:

1. Introduction: Rock Physics and python. Ex_01: Project settings (Python)
2. Seismic Velocities and Density. Ex_02: Elastic properties calculation (Python)
3. Gassmann’s (Fluid Rep. Modeling). Ex_03: Effect of fluid changes (Python)
4. Elastic Bounds. Ex_04: Elastic bound plot (Python)
5. Well log Data Cross plot. Ex_05: Well log data (Python)
6. FRM using well log data. Ex_06: FRM using well log data (Python)
7. Amplitude Var. with Offset (AVO). Ex_07: AVO modeling (Python)

Facilitator: Dr. Luluan Almana Lubis