Application of à trous DWT in the detection of seismic thin layers

In hydrocarbon exploration, detecting thin layers is one of the most important parts of geophysical interpretation. Seismic data received from horizons whose distances are less than the transmitted wavelength interferes in the sections will represent a single layer. It is possible to use à trous DWT domain to detect thin layers in seismic data acquired from oilfields at the first high-pass scale. In this paper, the use of instantaneous attributes in the à trous DWT domain to detect thin layers is investigated. The data is decomposed by 1-D à trous DWT. In this way, the events are filtered out and, the values matched by the mother wavelet are calculated at each scale. Once the decomposition step is applied, at high scales, the events in higher frequencies remain, and this can be a significant aid in the detection of thin layers. The results of this step indicate that applying this method to synthetic and real data can have a significant improvement in the separation of events from each other. Conventional seismic attributes have also been used to highlight the results in real data.