TRACE DOWNSAMPLING OF DISTRIBUTED ACOUSTIC SENSOR DATA

摘要

In accordance with embodiments of the present disclosure, systems and methods for downsampling DAS data in a way that enables accurate interpretation of acoustic events occurring in the data are provided. Such methods may be particularly useful when interpreting large sets of data, such as DAS VSP data collected during hydrocarbon recovery operations. The methods generally involve identifying data channels affected by noise from a DAS data set, and then interpolating from the surrounding data. This may improve the quality of the resulting downsampled data, with respect to the signal to noise ratio, compared to what would have occurred by merely decimating unwanted data channels. In addition, a priori information about channel fading, the desired downsampling rate, and the slowest expected elastic waves may be used to filter the DAS data. This may achieve a higher signal-to-noise ratio in the downsampled data.

主权项

1. A method, comprising:
analyzing a collected dataset, wherein the collected dataset comprises a plurality of data channels; identifying among the plurality of data channels at least one corrupted data channel; replacing the at least one corrupted data channel from the collected dataset with at least one interpolated data channel to generate an interpolated dataset; applying a filter to the interpolated dataset to generate a filtered dataset; and downsampling the filtered dataset.