1887

Abstract

Summary

Recent advances in software development have enabled seamless use of prestack seismic data combined with advanced attributes and high-end interpretation and visualization workflows. We describe a new workflow that gives geophysicists and geologists more flexibility in checking the quality of prestack seismic data and helps them select the best angle stacks for amplitude and structural interpretation. This can be crucial to achieving a better understanding of the prospect geometry and better structural definition.

The novelty of this approach is a new workflow to combine the two chosen angle stacks; the one with the most suitable amplitudes, and the one with the best fault detection, using a hybrid cube. This resulting hybrid cube becomes the seed for the second stage of the workflow, which involves the use of advanced interpretation and visualization tools that lead to better seismic reservoir characterization.

This approach, coupled with advanced attributes, 3D interpretation, and visualization functionalities, significantly improves prospect delineation, especially in creating a better image of the prospect geometry and better structural definition. This workflow can also help remove the subjectivity around faults interpreted manually and could help in the early stages of modeling, well design and planning.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201701422
2017-06-12
2024-04-19
Loading full text...

Full text loading...

References

  1. Le Turdu, C., Bejarano, G., Schulte, L., Warner, S. and Laver, R.
    [2012] Advanced automated faults and horizon interpretation for accurate structural analysis in E & P reservoir characterization. AAPG ACE, Extended Abstracts.
    [Google Scholar]
  2. Petersen, S. I., Randen, T., Sonneland, L., and Steen, O.
    [2002] Automatic fault extraction using artificial ants. 72nd Annual International Meeting, SEG, Expanded Abstracts, 512–513.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201701422
Loading
/content/papers/10.3997/2214-4609.201701422
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error