Adaptive Filter for Artifact Removal in Electromagnetic Pipe Inspection
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Solution Overview
Problem
Current approaches for performing inversion in electromagnetic pipe inspection tools are deficient in accurately analyzing pipe measurements on a granular level, leading to artifacts due to dimensionality mismatches and noise, which complicates the characterization of pipe integrity.
Innovation Solution
The application of an adaptive filter before and after the inversion process to identify and remove artifacts, while preserving the total attribute value across multiple pipes, using a method that filters individual pipe estimates based on their deviation from the total estimate to correct for sharp changes and dimensionality issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If inversion is performed on electromagnetic pipe inspection measurements to analyze pipe integrity on a granular level, then pipe-by-pipe characterization capability is improved, but artifacts are introduced due to dimensionality mismatches and noise
Solution Approach 1:
The patent applies an adaptive filter before the inversion process to pre-process the electromagnetic measurements and remove artifacts that would otherwise be introduced during inversion. This preliminary filtering action prevents artifacts from being generated in the first place, rather than attempting to remove them after inversion occurs.
Solution Approach 2:
The patent employs an adaptive filter that uses feedback from the total attribute estimate to adjust and refine individual pipe attribute estimates. The filter continuously monitors the difference between individual pipe estimates and the total estimate, using this feedback to iteratively remove artifacts and improve measurement accuracy.
2Measurement precision
If adaptive filtering is applied to remove artifacts from individual pipe estimates, then measurement accuracy is improved, but the total attribute value may be altered
Solution Approach 1:
The adaptive filter uses feedback from the total attribute estimate to guide the filtering process. By continuously comparing individual pipe estimates against the total estimate and adjusting accordingly, the system removes artifacts while maintaining the overall attribute balance and preventing alterations to the total value.
Solution Approach 2:
The patent dynamically adjusts filtering parameters based on the specific characteristics of each pipe and the overall system. By adapting the filter strength and characteristics to match the actual measurement conditions and pipe configurations, the system achieves effective artifact removal without compromising the total attribute value stability.
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
This approach effectively removes artifacts and improves the accuracy of pipe attribute characterization, enabling precise identification of pipe integrity by maintaining the total attribute value while correcting individual pipe estimates, thus enhancing the reliability of electromagnetic pipe inspection results.
Implementation Method 1
when a transmitter coil of an electromagnetic pipe inspection tool emits primary transient electromagnetic fields, eddy currents are induced in regions, e.g. the casing, surrounding the tool
Implementation Method 2
these eddy currents produce secondary fields which are received along with the primary fields by a receiver coil of the electromagnetic pipe inspection tool
Data Source
AI summary
Aspects of the subject technology relate to systems, methods, and computer-readable media for accounting for artifacts in pipe measurements made by an electromagnetic pipe inspection tool. Measurements gathered in a plurality of pipes across different depth points are accessed. Initial estimates of an attribute associated with the plurality of pipes are made for each pipe and a total estimate of the attribute for the plurality of pipes as a whole are made across the different depth points. Corresponding initial estimates of the attribute for each pipe are filtered to remove an artifact present in at least one of the corresponding initial estimates while the total estimate is preserved. Corresponding final estimates of the attribute for each pipe are determined based on both the measurements and corresponding filtered initial estimates of the attribute for each pipe. Integrity of each pipe can be determined based on the corresponding final estimates of the attribute.