King Abdullah University of Science and Technology

Saudi Arabian Oil Company

Islam Ashry

Boon Siew Ooi

Frode Hveding

Mao Yuan

Muhammad Arsalan

Mohd Sharizal Bin Alias

Yuan Mao

The subject matter of this specification can be embodied in, among other things, a method for removing intermodal distortion that includes receiving a collection of distorted backscattered Rayleigh signals from a collection of modes of an optical fiber, where the collection of distorted backscattered Rayleigh signals are distorted by an intermodal coupling among the collection of modes, receiving a collection of distortion parameters that are descriptive of distortion effects of the intermodal coupling, and determining an undistorted backscattered Rayleigh signal based on the collection of distorted backscattered Rayleigh signals and the collection of distortion parameters.

Downhole monitoring using few-mode optical fiber based distributed acoustic sensing

An integrated system for detecting a red palm weevil (RPW), farm fire, and soil moisture includes an optical fiber configured to be extending to a tree, and a distributed acoustic sensor (DAS) box connected to the optical fiber. The DAS box is configured to process first to third different optical signals reflected from the optical fiber, to determine a presence of the RPW from the first optical signal, a temperature at a location along the optical fiber from the second optical signals, and a moisture at a location around the tree from the third optical signal.

Versatile optical fiber sensor and method for detecting red palm weevil, farm fires, and soil moisture

A fiber optic distributed acoustic sensing (DAS) system for detecting a red palm weevil (RPW) includes an optical fiber configured to be wrapped around a tree and a DAS box connected to the optical fiber. The DAS box includes a processing unit that is configured to receive a filtered Rayleigh signal reflected by the optical fiber, and run the filtered Rayleigh signal through a neural network system to determine a presence of the RPW in the tree.

Red palm weevil detection by applying machine learning to signals detected with fiber optic distributed acoustic sensing

A method for determining tree infestation includes placing an optical fiber around a trunk of a tree; recording with a distributed acoustic sensor (DAS) box a Rayleigh signal reflected from the tree, along the optical fiber; processing the Rayleigh signal to obtain a processed signal; calculating a signal-to-noise ratio (SNR) of the processed signal for the tree; and comparing the SNR to a threshold value and counting an alarm if the SNR is larger than the threshold value. The SNR is defined as a ratio between (1) a maximum value of a processed signal and (2) a minimum value of the processed signal.

Signal processing algorithm for detecting red palm weevils using optical fiber

A hybrid sensing-communication system includes a multicore optical fiber that includes first and second cores, a first communication device optically coupled to a first end of the first core of the multicore optical fiber, a second communication device optically coupled to a second end of the first core of the multicore optical fiber, a first sensing device optically coupled to a first end of the second core of the multicore optical fiber, and a second sensing device optically coupled to a second end of the second core of the multicore optical fiber. The first and second communication devices exclusively exchange communication data along the first core, the first and second sensing devices exclusively exchange sensing data along the second core, and the communication data is different from the sensing data.

Hybrid sensing-communication optical system and method

An optical fiber distributed acoustic sensor (DAS) system for detecting a red palm weevil and/or its larvae inside a tree. The system includes an optical fiber that is configured to be placed next to a tree; and a DAS box optically connected to the optical fiber and configured to receive a reflected light from the optical fiber. The DAS box includes electronics that extracts from the reflected light a frequency in a range of [400 Hz, 4 kHz], and sends a message indicating a presence of the red palm weevil and/or its larvae inside the tree.

Beetle detection using optical fiber distributed acoustic sensor

The subject matter of this specification can be embodied in, among other things, a method for remotely sensing vibration includes transmitting a collection of optical pulses through an optical fiber at a predetermined frequency, detecting a collection of backscattered Rayleigh traces from the optical fiber based on a vibration of the optical fiber at a vibration frequency at a location along the optical fiber, determining a normalized differential trace based on the collection of Rayleigh traces, determining, based on the normalized differential trace, the location in the optical fiber of the vibration, and determining, based on the raw Rayleigh traces, the vibration frequency.

Signal to noise ratio management

Systems and methods include a method for overcoming optical time domain reflectometry (OTDR) dead zone limitations by using a few-mode fiber (FMF). Optical pulses are transmitted by a transmitter of an OTDR system through a mode MUX/DEMUX into an FMF. Light signals directed by the FMF in a backward direction through the mode MUX/DEMUX are received by the OTDR system through N single-mode fiber (SMF) ports corresponding to N modes in the FMF. Light signals from N&#x2212;1 dead-zone-free SMF ports are collected by the OTDR system. Losses are measured and faults are located in the FMF based at least on the light signals.

Overcoming OTDR dead zones using a few-mode fiber

The subject matter of this specification can be embodied in, among other things, a method that includes separating, from a few mode optical fiber, a collection of backscattered Rayleigh signals based on a vibration of the few mode optical fiber at a vibration frequency at a first location along the few mode optical fiber, separating, from the few mode optical fiber, a collection of backscattered Stokes Raman signals and Anti-Stokes Raman signals based on a temperature of the few mode optical fiber at a second location along the few mode optical fiber, detecting the separated Rayleigh signals and Raman signals, determining, based on detecting the collection of backscattered Rayleigh traces, at least one of the first location, the vibration frequency, and an amplitude of the vibration, and determining, based on the detecting the collection of backscattered Raman signals, the temperature at the second location.

Hybrid distributed acoustic testing

Systems and methods include a number of optical pulses are transmitted by transmitting, by a distributed acoustic sensor (DAS), where the optical pulses are transmitted at an input port associated with a multimode fibers (MMF) used by the DAS, and where the fundamental mode of the MMF is excited. A number of backscattered Rayleigh signals are collected by the DAS. The Rayleigh signals are recorded as an output intensity profile. A position along the MMF that is subject to vibrations and corresponding vibration parameters are determined by analyzing the recorded output intensity profile.

Quasi-fundamental-mode operated multimode fiber for distributed acoustic sensing

Methods, systems, and apparatuses for simultaneous distributed temperature and vibration sensing using a multimode optical fiber (MMF) is disclosed. The distributed temperature and vibration sensing may include a single mode optical fiber (SMF) coupled to an MMF via a connection in which a central axis of the SMF is aligned with a central axis of the MMF. The connections provides of excitation of the fundamental mode within the MMF by light passing from the SMF into the MMF through the connection.

Growing community of inventors

Thuwal, Saudi Arabia

Islam Ashry