Sensor Array Noise Reduction via Demixing Vector
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Solution Overview
Problem
Electromagnetic telemetry systems face reliability issues due to noise interference from various unwanted electromagnetic sources, such as mud motors, wellhead equipment, and consumer electronics, which degrade the signal-to-noise ratio and affect data accuracy in drilling operations.
Innovation Solution
A sensor array noise reduction manager employs a demixing vector to filter noise sources from measurements received by multiple sensors, improving the signal-to-noise ratio by applying a selected demixing vector to the signals, allowing for simultaneous removal of multiple noise sources from the telemetry signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional electromagnetic telemetry is used in drilling operations, then data can be transmitted from downhole tools to surface equipment, but noise interference from electromagnetic sources (mud motors, wellhead equipment, vehicles, welding equipment, consumer electronics) degrades the signal-to-noise ratio and reduces reliability
Solution Approach 1:
The patent segments the received electromagnetic signal into multiple components using a sensor array, where each sensor captures a mixture of the desired telemetry signal and different noise sources. By dividing the signal processing into separate channels and applying demixing vectors to each, the system can isolate and remove specific noise components while preserving the telemetry signal.
Solution Approach 2:
The patent introduces demixing vectors as intermediary mathematical tools that act as mediators between the mixed sensor signals and the separated signal components. These demixing vectors serve as transformation matrices that enable the separation of the desired signal from noise sources without direct physical intervention, allowing clean extraction of telemetry data from noisy electromagnetic environments.
2Measurement precision
If multiple noise sources are present in the electromagnetic environment, then the noise affects multiple signal parameters, but traditional filtering methods can only remove one noise source at a time
Solution Approach 1:
The patent merges multiple sensor signals into a unified processing framework using a demixing matrix that simultaneously handles all noise sources. Instead of applying separate filtering operations for each noise source, the system combines all sensor measurements and applies a single demixing transformation that removes multiple noise components in one operation, reducing overall system complexity.
Solution Approach 2:
The patent transforms the noise filtering problem from the time domain to a parameter space where demixing vectors operate. By changing the representation parameters of the signals and applying linear algebra transformations, the system can identify and eliminate multiple noise sources based on their distinct spatial or spectral characteristics, improving signal quality without proportionally increasing complexity.
3Loss of information
If environmental noise exceeds signal power (as in EMAG telemetry during drilling), then the desired telemetry signal becomes difficult to detect and process, but increasing signal power is not always feasible
Solution Approach 1:
The patent converts the harmful effect of multiple noise sources into a beneficial separation opportunity. By utilizing the fact that different noise sources have distinct spatial signatures across the sensor array, the system transforms the noise problem into a signal separation opportunity, where the presence of multiple identifiable noise sources actually enables more effective filtering through demixing techniques.
Solution Approach 2:
The patent replaces physical signal amplification (increasing transmit power) with mathematical signal processing (demixing operations). Instead of mechanically increasing the signal power at the source, which consumes more energy and may not be feasible during drilling operations, the system uses computational methods to enhance the signal-to-noise ratio, preserving energy while maintaining data accuracy.
Data Source
AI summary
Sensor array noise reduction is provided. In one possible implementation a logging and control system includes a sensor array noise reduction manager configured to receive measurements from two or more sensors and apply a selected demixing vector to filter one or more noise sources from the measurements and improve a signal to noise ratio of a telemetry signal in the measurements. In another possible implementation a sensor array noise reduction manager for improving a signal to noise ratio of a signal includes a sensor interface configured to receive the signal, which includes information associated with an operating condition, from two or more sensors. The sensor array noise reduction manager also includes a noise reduction module to simultaneously remove noise associated with one or more noise sources from the received signal through use of a demixing vector.