Directional Sonic Logging Waveform Stacking for Azimuthal SNR

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Solution Overview

Problem

Conventional LWD dipole measurements suffer from low signal-to-noise ratio (SNR) due to averaging out azimuthal information, making them azimuthally insensitive and ineffective for directional measurements.

Innovation Solution

A method involving a directional sonic logging tool with a multipole transmitter and receiver arrays, which includes screening for excessive noise, identifying orthogonal pairs of measurements, rotating and stacking waveforms in the time and frequency domains to improve SNR.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional stacking methods are used to improve SNR, then signal-to-noise ratio is improved, but azimuthal information is averaged out making measurements azimuthally insensitive

Engineering Contradiction:
Improvesignal-to-noise ratioVSAvoidazimuthal information
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent segments the dipole measurements into orthogonal pairs (e.g., X-X, X-Y, Y-X, Y-Y components) and processes each pair separately through rotation and stacking. This segmentation allows preservation of azimuthal directional information while still achieving noise reduction through stacking within each orthogonal pair, thereby resolving the contradiction between improving SNR and maintaining azimuthal sensitivity.

Inventive Principle:
Principle #1Segmentation

2Loss of information

If un-stacked dipole waveforms are used to preserve azimuthal information, then azimuthal sensitivity is maintained, but signal-to-noise ratio becomes very low

Engineering Contradiction:
Improveazimuthal informationVSAvoidsignal-to-noise ratio
Core Design Contradiction:
Loss of informationVSReliability

Solution Approach 1:

The patent applies dynamic rotation of the dipole measurements to align orthogonal pairs with the tool orientation, then dynamically stacks the rotated waveforms. This dynamic processing approach allows the system to adaptively preserve azimuthal information while improving SNR, rather than using static conventional stacking methods that would average out directional sensitivity.

Inventive Principle:
Principle #15Dynamics

3Object-affected harmful factors

If conventional stacking is applied to dipole measurements, then noise is reduced, but transverse anisotropy detection capability is lost

Engineering Contradiction:
ImprovenoiseVSAvoidtransverse anisotropy detection
Core Design Contradiction:
Object-affected harmful factorsVSAdaptability or versatility

Solution Approach 1:

The patent introduces a rotational dimension to the stacking process by rotating dipole measurements into orthogonal pairs before stacking. This dimensional transformation allows the system to stack waveforms for noise reduction while maintaining the ability to detect transverse anisotropy through the preserved orthogonal component relationships, thus resolving the contradiction between noise reduction and anisotropy detection capability.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS12591077B2Time domain stacking of acoustic dipole LWD measurements
Publication Date: 2026.03.31 SCHLUMBERGER TECH CORP
  • US12591077B2 patent drawing
  • US12591077B2 patent drawing
  • US12591077B2 patent drawing

AI summary

A method for acoustic logging a wellbore includes making a plurality of directional sonic logging measurements while rotating an acoustic logging tool in a wellbore. A plurality of orthogonal pairs of measurements are identified among the measurements. Each of the orthogonal pairs includes a first measurement having a measured angle of a transmitter firing direction that is perpendicular with a measured angle of a transmitter firing direction of a second measurement within a predetermined tolerance. A set of 4C component waveforms is compiled for each of the identified orthogonal pairs and mathematically rotated to align with predefined axes. Selected ones of the rotated waveforms are then stacked in the time domain.