Drill Bit Sound Analysis for Real-Time Geologic Layer Impedance

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Solution Overview

Problem

Existing methods for estimating primary wave (P-wave) seismic impedance and density values of geologic layers during drilling are costly due to the sophisticated equipment required for logging while drilling (LWD).

Innovation Solution

Utilizing drill bit sound to evaluate density and seismic impedance values by processing acoustic signals generated during drilling, including source and reflected acoustic signals, through convolution and rock physics models to determine subterranean properties.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If logging while drilling (LWD) equipment is used to estimate P-wave seismic impedance and density, then measurement precision is improved, but device complexity and cost increase

Engineering Contradiction:
ImproveP-wave seismic impedance and density estimation accuracyVSAvoidsophisticated equipment complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts the essential acoustic signal processing functionality from complex LWD equipment and implements it using standard drill bit sound recording systems. By separating the acoustic signal acquisition (simple) from the complex inversion processing, the system achieves LWD-level accuracy without requiring sophisticated downhole equipment.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent replaces mechanical/LWD-based measurement systems with an acoustic signal processing system. Instead of using physical sensors downhole to directly measure seismic impedance, the system uses surface-recorded drill bit sounds and applies convolution algorithms to infer subsurface properties, substituting mechanical measurement with acoustic signal analysis.

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

2Measurement precision

If sophisticated LWD equipment is deployed, then density and seismic impedance values can be obtained, but cost increases

Engineering Contradiction:
Improvedensity and seismic impedance valuesVSAvoidcost
Core Design Contradiction:
Measurement precisionVSEase of manufacture

Solution Approach 1:

The patent uses inexpensive, readily available acoustic sensors and standard drilling equipment instead of expensive, specialized LWD tools. The system leverages the drill bit sound that is already being recorded for operational monitoring, adding value without requiring additional costly equipment deployment.

Inventive Principle:
Principle #27Cheap short-living objects (Disposable)

Solution Approach 2:

The patent creates a virtual copy of the subsurface geological properties through acoustic signal inversion. By processing the acoustic reflection signals mathematically, the system generates accurate models of density and seismic impedance without physically deploying expensive measurement tools into the borehole.

Inventive Principle:
Principle #26Copying

3Ease of manufacture

If drill bit sound is used for evaluation, then cost is reduced, but measurement precision may be compromised

Engineering Contradiction:
Improvecost reductionVSAvoidgeologic layer properties evaluation accuracy
Core Design Contradiction:
Ease of manufactureVSMeasurement precision

Solution Approach 1:

The patent employs iterative convolution algorithms that continuously refine the geological property models by comparing predicted acoustic signals with actual recorded signals. This feedback loop adjusts the density and seismic impedance estimates until the modeled acoustic response matches the recorded drill bit sound, ensuring high precision despite using simple equipment.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent transforms the acoustic signal from the time domain to the frequency domain through convolution and spectral analysis. By changing the parameter representation of the acoustic signal, the system extracts subtle geological information that would be invisible in the raw time-domain signal, maintaining measurement precision while using inexpensive equipment.

Inventive Principle:
Principle #35Parameter changes

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 real-time evaluation of geologic layer properties with reduced costs by leveraging drill bit sound, providing accurate density and seismic impedance values.

Implementation Method 1

the acoustic signal includes a source acoustic signal and a reflected acoustic signal, the reflected acoustic signal is produced in response to the source acoustic signal

Methodology Applied
Scientific EffectAcoustic reflection: Reflection

Data Source

PatentUS12578492B2Evaluation of density and seismic impedance values of geologic layers using drill bit sound during drilling
Publication Date: 2026.03.17 SAUDI ARABIAN OIL CO
  • US12578492B2 patent drawing
  • US12578492B2 patent drawing
  • US12578492B2 patent drawing

AI summary

Example computer-implemented methods, media, and systems for evaluating density and seismic impedance values of geologic layers using drill bit sound during drilling are disclosed. One example computer-implemented method includes receiving an acoustic signal associated with a sound produced by a well tool implemented to perform a well operation by contacting a portion of a subterranean zone, where the acoustic signal includes a source acoustic signal and a reflected acoustic signal, the reflected acoustic signal is produced in response to the source acoustic signal, and the sound is produced during a drilling operation. The acoustic signal is processed to determine the source acoustic signal and the reflected acoustic signal. A first signal is determined based on the source acoustic signal. A second signal is determined based on the reflected acoustic signal. Properties of the subterranean zone are determined based on a convolution of the first signal and the second signal.