Hybrid Fiber-Optic Array for Calibrated Particle Velocity Wavefields

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Solution Overview

Problem

Existing seismic data acquisition systems face challenges in merging fiber-optic and particle motion sensor data due to imperfect coupling, making it difficult to extract accurate seismic data, particularly in borehole environments.

Innovation Solution

A hybrid sensor array combining fiber-optic and particle motion sensors is used to measure strain and particle motions, with a control system that estimates calibrated strain data, inverts it to particle velocity data, and merges it with geophone data to produce accurate single-component particle motion data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If fiber-optic sensors are used to measure strain fields, then sensor count and deployment flexibility are improved, but the ability to directly measure particle motions is worsened

Engineering Contradiction:
Improvedeployment flexibilityVSAvoidparticle motion measurement
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent uses strain field measurements as an intermediary to indirectly obtain particle velocity data. The fiber-optic sensors measure strain fields, which are then processed through calibration and inversion algorithms to reconstruct particle velocity wavefields, serving as a mediator between the measurable strain and the desired particle motion data

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces direct mechanical particle motion sensors (geophones) with optical fiber sensors that measure strain fields. This substitution uses optical measurement principles instead of mechanical sensing, achieving deployment flexibility while obtaining particle velocity information through signal processing

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Quantity of substance

If hybrid sensor arrays are used, then sensor count and coverage are improved, but data processing complexity and coupling coefficient assumptions are worsened

Engineering Contradiction:
Improvesensor countVSAvoiddata processing complexity
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent merges fiber-optic sensor data and geophone data into a unified particle velocity wavefield. By combining the high-density strain measurements with traditional particle velocity measurements, the system achieves comprehensive coverage while using the geophone data to calibrate and validate the fiber-optic-derived velocities

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent transforms strain field parameters into particle velocity parameters through calibration and inversion processes. By changing the measurement domain from strain to particle velocity, the system enables direct comparison and merging of data from different sensor types

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If strain field data is inverted to particle velocity data, then particle velocity wavefield reconstruction is improved, but measurement domain differences and calibration requirements are worsened

Engineering Contradiction:
Improveparticle velocity data accuracyVSAvoidcoupling coefficient validity
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent uses geophone measurements as feedback to calibrate the fiber-optic-derived particle velocity data. The known accurate particle velocity measurements from geophones are used to validate and adjust the inversion process, ensuring the reconstructed wavefield matches physical reality

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent performs preliminary calibration of the inversion process using geophone data before final wavefield reconstruction. By establishing calibration relationships in advance using reliable particle velocity measurements, the system ensures accurate transformation from strain to velocity data

Inventive Principle:
Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables the reconstruction of physically valid particle velocity wavefields, improving spatio-temporal resolution and enabling high-resolution imaging and reservoir characterization in geophysical applications.

Implementation Method 1

multiple fiber-optic sensors configured to measure strain fields

Methodology Applied
Scientific EffectOptical fiber sensing: Optical Fibre

Implementation Method 2

The light recorder is configured to receive light signals associated with measured strain fields from the multiple fiber-optic sensors

Methodology Applied
Scientific EffectLight scattering: Scattering

Implementation Method 3

multiple particle motion sensors configured to measure particle motions in response to a seismic wavefield traveling along the hybrid sensor array

Methodology Applied
Scientific EffectParticle motion detection: Accelerometer

Data Source

PatentUS12613129B2True particle velocity wavefield processing in fiber optics—particle motion sensor hybrid array
Publication Date: 2026.04.28 SCHLUMBERGER TECH CORP
  • US12613129B2 patent drawing
  • US12613129B2 patent drawing
  • US12613129B2 patent drawing

AI summary

Systems and methods may be used to reconstruct particle velocity wavefields from coupling-calibrated fiber-optic data that subsequently enables physically valid construction of the particle velocity wavefields for a hybrid sensor array including both fiber-optic and particle motion sensors. These systems and methods may be used in a variety of borehole geophysical applications, such as structure and reservoir imaging, impedance inversion, attenuation tomography, micro-seismic fracture imaging, focal mechanism analysis, and so on. The systems and methods may also be used in other applications such as geothermal and CO2 storage monitoring.