Extraction of Gas Rise Features from a Noisy DAS Data in an Experimental Wellbore

Document Type

Conference Proceeding

Publication Date

1-1-2022

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.

Publication Source (Journal or Book title)

Optics InfoBase Conference Papers

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