17972802. Extending Fiber Optic Sensing simplified abstract (Halliburton Energy Services, Inc.)
Contents
Extending Fiber Optic Sensing
Organization Name
Halliburton Energy Services, Inc.
Inventor(s)
Kwang Il Suh of Houston TX (US)
Mikko K. Jaaskelainen of Houston TX (US)
Andreas Ellmauthaler of Houston TX (US)
Glenn Wilson of Houston TX (US)
Extending Fiber Optic Sensing - A simplified explanation of the abstract
This abstract first appeared for US patent application 17972802 titled 'Extending Fiber Optic Sensing
Simplified Explanation: The patent application describes a method for tuning a distributed acoustic sensing (DAS) system by optimizing the signal-to-noise ratio (SNR) through incremental adjustments of the laser pulse power output.
- Determining signal strength from a Raman Pump in the DAS system
- Incrementally increasing the power of the laser pulse output from minimum to maximum
- Measuring SNR for each power increment to select the maximum SNR
- Configuring the Raman Pump and laser pulse output based on the maximum SNR
Key Features and Innovation:
- Optimization of signal-to-noise ratio in a DAS system
- Incremental tuning of laser pulse power output
- Selection of maximum SNR for improved system performance
Potential Applications:
- Enhancing the performance of distributed acoustic sensing systems
- Improving signal detection and accuracy in monitoring applications
Problems Solved:
- Ensuring optimal signal strength and noise ratio in DAS systems
- Enhancing the reliability and accuracy of acoustic sensing technology
Benefits:
- Improved signal detection and accuracy
- Enhanced performance of DAS systems
- Increased reliability in monitoring applications
Commercial Applications: Optimizing signal-to-noise ratio in DAS systems can have significant commercial applications in industries such as:
- Oil and gas exploration
- Structural health monitoring
- Perimeter security
Prior Art: Readers interested in prior art related to this technology may explore research on distributed acoustic sensing systems, signal processing techniques, and laser power optimization methods.
Frequently Updated Research: Researchers may find updated studies on signal processing algorithms for DAS systems, advancements in laser technology for acoustic sensing, and applications of SNR optimization in distributed sensing networks.
Questions about Distributed Acoustic Sensing: 1. How does optimizing the signal-to-noise ratio impact the overall performance of a DAS system? 2. What are the key factors to consider when tuning a DAS system for maximum SNR efficiency?
Original Abstract Submitted
A method for tuning a distributed acoustic sensing (DAS) system. The method may include determining a signal strength from a first Raman Pump in the DAS system, sweeping a laser pulse output from a transmitter; wherein the sweeping is an incremental increase of a power of the laser pulse output from a minimum pulse power to a maximum pulse power, and measuring a first signal-to-noise-ratio (SNR) for each of the incremental increase of the power of the laser pulse output. The method may further comprise selecting a maximum SNR from the first SNR for each of the incremental increase of the power of the laser pulse output and configuring the first Raman Pump and the laser pulse output based at least in part on the maximum SNR.
