Abstract
DAS is a promising wellbore monitoring technology. However, the desired signals are often overwhelmed by noise. We present a suite of computationally inexpensive techniques for real-time extraction of gas-signatures from noisy DAS acquired in a 5163-ft-deep wellbore.
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