Streaming seismic attributes

TL;DR: Streaming seismic attributes calculates local seismic attributes using a streaming computation approach, significantly reducing computational cost for real-time processing tasks.

Abstract: Local seismic attributes play an important role in seismic processing and interpretation. However, the iterative regularized inversion required by the calculation of local seismic attributes makes it prohibitively expensive for real-time processing tasks. In this paper, we present an efficient method for estimating local seismic attributes, including local frequency and local spectrum, using streaming computation. In our proposed approach, the local attributes can be computed by updating the previously calculated attribute value using a new data point at a time, making it unnecessary to conduct the iterative inversion and thus significantly speeding up the computation for online usage. We apply the proposed method to both synthetic and field data to demonstrate its efficiency and effectiveness to accurately characterize nonstationary seismic signals.