Petrel Quantitative Interpretation - RILS (Remote Instructor Led Series)

Session 1 : Module 1

(4 Hours 15 minutes)

• Rock physics

Despite good seismic quality and well control, the correct interpretation requires quantifying the connection between geology and seismic data. The Rock Physics module establishes this link by computing elastic parameters. In this session, the participants will be introduced to the global QI workflow, the basic rock physics concept, the methodologies for setting up and running rock physics studies and the results crossplots for analysis.

Session 2 : Modules 2 & 3

(4 Hours 15 minutes)

• AVO modeling
• AVO reconnaissance

AVO modeling applies a variety of convolutional algorithms to compute AVA responses. AVO reconnaissance identifies and classifies AVO anomalies in an exploration context. In this session, the participants will learn about the functionalities and procedures related to AVO modeling workflow, studies and reconnaissance tool.

Session 3 : Module 4

(4 Hours 15 minutes)

• Simultaneous seismic inversion and the Inversion property builder

During this session, the participants will learn the basic theory regarding Simultaneous inversion and apply the key workflows required to invert the seismic data to acoustic and elastic properties.

Session 4 : Module 5

(4 Hours 15 minutes)

• Stochastic seismic inversion

The Stochastic seismic inversion brings a solution to the resolution issue in reservoir modeling due to the seismic resolution. In this session, the participants will learn the differences between simultaneous and stochastic inversions. They will also set up and run a stochastic inversion, quality check the output, calculate properties and create a reservoir AVO model from stochastic inversion output.

Session 5 : Module 6

(3 Hours)

• Lithology classification

Lithology Analysis and prediction is a rock physics based lithology prediction workflow that integrates well logs, seismic inversion and geological modeling and interpretation. It provides an estimate of the most probable lithology and the uncertainty associated with the prediction. In this final session, the participants will learn how to run the set of processes performing lithology classification including:

• creating classification log;
• lithology analysis;
• lithology prediction.