Wellbore Telemetry Noise Cancellation via Linear Prediction

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Solution Overview

Problem

In mud pulse telemetry systems, the noise generated by surface pumps overwhelms the weak telemetry data signals, making accurate detection of downhole data challenging due to higher energy levels and proximity to pressure sensors.

Innovation Solution

A method that involves predicting and subtracting deterministic components of noise signals from acquired data using past signal values, employing linear prediction algorithms to isolate and cancel out pump noise, allowing for clearer detection of telemetry data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If pump noise is present in the wellbore system, then the pump can circulate mud effectively, but the noise overwhelms the telemetry data signals making accurate detection difficult

Engineering Contradiction:

Improvemud circulation efficiencyVSAvoidtelemetry data detection accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent applies linear prediction algorithms to model the deterministic pump noise and convert it from a harmful interference into a predictable signal that can be subtracted from the composite signal. By predicting the pump noise based on past values and subtracting it, the system recovers the telemetry data that was previously obscured by the noise

Inventive Principle:

Principle #22Blessing in disguise (Convert harm into benefit)

Solution Approach 2:

The patent extracts the deterministic component of pump noise from the composite signal containing both noise and telemetry data. By separating and removing the predictable pump noise portion, the system isolates the telemetry data for accurate detection while maintaining continuous mud circulation

Inventive Principle:

Principle #2Taking out (Extraction)

2Measurement precision

If pump noise is canceled using linear prediction algorithms, then telemetry data detection accuracy improves, but signal processing complexity increases

Engineering Contradiction:

Improvetelemetry data detection accuracyVSAvoidsignal processing complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces complex hardware-based noise cancellation systems with software-based linear prediction algorithms. This computational approach achieves effective noise cancellation through mathematical modeling and signal processing rather than physical modifications, reducing hardware complexity while improving detection accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS10061059B2Noise cancellation in wellbore system

Publication Date: 2018.08.28 BAKER HUGHES CO

AI summary

A method of canceling noise in a wellbore telemetry system includes, acquiring at least one signal in the system, predicting at least one deterministic component of the at least one signal based upon a change of at least one deterministic component from past signal values, and subtracting the at least one predicted deterministic component from the acquired at least one signal.