No abstract

No abstract

No abstract

No abstract

We present a new approach to extract features from seismic data using a non-local and multi-attribute search method. By transforming seismic reflection data and attributes derived from seismic data into characters we can search for complex features in the seismic data volumes using a textbased search technology. The method presented here allows for feature patterns with a varying vertical extent, varying attribute values and a varying number of sub-features in the feature signature. We describe the method and give two examples of how it can be used. The first one shows how the number of sub-features can vary in a feature. The second one shows how we can combine different attributes in one search.