In-situ Calibration of Downhole Magnetic Sensors

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Solution Overview

Problem

Downhole magnetic field sensors experience sensitivity drift due to high temperature and pressure environments, making accurate measurements unreliable, as it is difficult to anticipate and calibrate for all factors in controlled surface environments.

Innovation Solution

In-situ calibration methods using a magnetic field source coupled to downhole tools, allowing sensors to measure a known magnetic field, with calculations to determine sensitivity drift and adjust measurements in real-time or post-processing, enabling accurate magnetic field measurements despite extreme conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If sensors are placed in downhole environment to measure magnetic field, then measurement capability is obtained, but sensitivity drift occurs due to high temperature and pressure

Engineering Contradiction:
Improvemagnetic field measurement accuracyVSAvoidsensor sensitivity stability
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The system performs preliminary calibration by measuring a known magnetic field source downhole before actual measurements. This preliminary measurement establishes a baseline sensitivity factor that accounts for environmental effects, which is then used to correct subsequent measurements. The calibration process is executed in advance to prevent drift accumulation during the actual measurement period.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors the sensor response to the known magnetic field source and adjusts the sensitivity factor accordingly. By comparing expected versus actual sensor readings, the system generates feedback that corrects for drift in real-time or near real-time, maintaining measurement accuracy despite changing downhole conditions.

Inventive Principle:
Principle #23Feedback

2Measurement precision

If calibration is performed in controlled surface environment, then initial sensor accuracy is achieved, but inability to anticipate downhole conditions causes drift

Engineering Contradiction:
Improvesensor calibration accuracyVSAvoidcalibration adaptability to downhole conditions
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system introduces a known magnetic field source as an intermediary reference that bridges the gap between surface calibration and downhole operation. This intermediary provides a stable reference point that can be measured in the downhole environment, allowing the system to translate surface calibration data into accurate downhole measurements by comparing sensor responses to the known source under actual operating conditions.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system changes the calibration approach from fixed surface parameters to dynamic downhole parameters. By measuring the known magnetic field source at various downhole locations and conditions, the system adapts calibration parameters to match actual operating environments, transforming static surface calibration into dynamic downhole-specific calibration factors.

Inventive Principle:
Principle #35Parameter changes

3Device complexity

If no downhole calibration is performed, then device complexity is reduced, but measurement reliability deteriorates

Engineering Contradiction:
Improvecalibration system complexityVSAvoidmeasurement reliability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The system performs self-calibration downhole using an onboard known magnetic field source. The sensor suite automatically measures the known source and computes correction factors without requiring external calibration equipment or complex external systems. This self-service approach maintains measurement reliability while minimizing additional device complexity by using existing sensor resources.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The known magnetic field source serves multiple functions: it acts as a calibration reference, a sensitivity monitor, and a drift correction standard. By making this single component multi-functional, the system achieves reliable calibration without requiring separate dedicated systems for each function, thereby limiting the increase in overall device complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

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

Ensures accurate and reliable magnetic field measurements by accounting for sensitivity drift, improving the reliability of downhole data and reducing the disadvantage of skewed measurements.

Implementation Method 1

generating a known magnetic field via a magnetic field source that is coupled to a downhole tool

Methodology Applied
Scientific EffectElectromagnetic Induction: Electromagnetic Induction

Data Source

PatentUS11467316B2Technologies for in-situ calibration of magnetic field measurements
Publication Date: 2022.10.11 HALLIBURTON ENERGY SERVICES INC
  • US11467316B2 patent drawing
  • US11467316B2 patent drawing
  • US11467316B2 patent drawing

AI summary

Systems, methods, and computer-readable media for in-situ calibration of magnetic field measurements. In some examples, a method can involve generating a magnetic field via a magnetic field source that is coupled to a downhole tool. The magnetic field source can be located within a fixed distance from one or more sensors coupled to the downhole tool. The method can also involve obtaining respective field measurements of the known magnetic field from the one or more sensors, and comparing the respective field measurements from the one or more sensors with respective reference measurements previously obtained from the one or more sensors to yield respective comparisons. The method can then involve determining, based on the respective comparisons, a respective sensitivity drift for each of the one or more sensors.