Fiber-optic DAS for efficient wellbore data transmission

A significant number of downhole sensors monitor well conditions, but data transmission faces speed and reliability challenges. Mud pulse telemetry (MPT) is used during drilling but has low data rates, while electromagnetic or acoustic waves in production are hindered by signal issues. We employ fiber-optic distributed acoustic sensing (DAS) for wellbore data communication, using a DAS spatial correlation selection technique (DSCT) to mitigate Rayleigh signal fading. This achieves a 1000 bps data rate with a bit error rate (BER) of 8.33 &times; 10<sup>−5</sup> over 1 km. We demonstrated this system in a lab and designed it for downhole use in production tubing, which would significantly enhance the reliability and efficiency of real-time well monitoring.

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Published
2025-05-22
DOI
https://doi.org/10.1117/12.3062142
Primary Topic
Advanced Fiber Optic Sensors
Type
article
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Fiber-optic DAS for efficient wellbore data transmission

Islam Ashry, Boon S. Ooi, Chun Hong Kang, Thomas Finkbeiner et al.
Advanced Fiber Optic Sensors
article

Fiber-optic DAS for efficient wellbore data transmission

Islam Ashry, Boon S. Ooi, Chun Hong Kang, Thomas Finkbeiner, Tien Khee Ng, H.‐S. Tong
article en

Abstract

A significant number of downhole sensors monitor well conditions, but data transmission faces speed and reliability challenges. Mud pulse telemetry (MPT) is used during drilling but has low data rates, while electromagnetic or acoustic waves in production are hindered by signal issues. We employ fiber-optic distributed acoustic sensing (DAS) for wellbore data communication, using a DAS spatial correlation selection technique (DSCT) to mitigate Rayleigh signal fading. This achieves a 1000 bps data rate with a bit error rate (BER) of 8.33 &times; 10<sup>−5</sup> over 1 km. We demonstrated this system in a lab and designed it for downhole use in production tubing, which would significantly enhance the reliability and efficiency of real-time well monitoring.

King Abdullah University of Science and Technology (SA)
Affordable and clean energy
Openalex Percentile: Top 91%
Advanced Fiber Optic Sensors
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