Distributed Acoustic Sensing System for oil and gas exploration

We carried out a fast processing investigation based on a graphics processing unit (GPU) for a distributed acoustic sensor using a linear frequency modulation pulse. The moving window cross-correlation calculations are realized on the GPU, which makes use of parallel computing. We analyzed the effect of the thread number in a block on the GPU streaming multiprocessor utilization efficiency and then compared the acceleration under different calculation scales. By maximizing the streaming multiprocessor utilization efficiency and large calculation scale, a maximum acceleration ratio of 86.01 was obtained.

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GPU-based fast processing for a distributed acoustic sensor using an LFM pulse

Wang

Jiang

Wang

et al. 2020

Appl. Opt.

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Distributed Acoustic Sensing System for oil and gas exploration

Cited by 1 publication

References 6 publications

GPU-based fast processing for a distributed acoustic sensor using an LFM pulse

GPU-based fast processing for a distributed acoustic sensor using an LFM pulse

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