System and method for analyzing anomalies in a conduit
AssigneeKPL South Texas, LLC
InventorsJim Andrew, James Simek
Life of this patent
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Abstract
Embodiments relate to a system and method for detecting and remediating selective seam weld corrosion in conduits such as steel pipes that transport oil and gas products. In particular, a probe detects magnetic flux leakage in at least two orientations. Anomalies in the conduit are then identified and assessed for selective seam weld corrosion based on factors that include the magnetic flux leakage detection and the depth of the anomalies. For certain categories of assessed anomalies, the corresponding portions of the conduit are selectively remediated in accordance with these factors.
Claims25
A system for detecting and remediating selective seam weld corrosion in a conduit, comprising,
- a probe, the probe constructed to traverse at least a segment of the interior of the conduit and comprising sensors capable of detecting magnetic flux leakage in at least a first and second orientation in proximity to a conduit seam of the conduit;
- a probe processor, the probe processor creating at least a first and second dataset, the first dataset based on detection of magnetic flux leakage in the first orientation and the second dataset based on detection of magnetic flux leakage in the second orientation;
- one or more predictor processors in communication with one or more memory devices, the one or more memory devices containing computer-readable instructions that, when executed by the one or more predictor processors, can operate to:
- receive the datasets;
- identify and analyze an anomaly using the datasets to determine a probability of the anomaly containing selective seam weld corrosion, thereby distinguishing the anomaly from other forms of corrosion;
- and
- generate an alert status that the portion of the conduit containing the anomaly should be remediated when the probability is greater than a predetermined percentage.
A system for detecting and remediating selective seam weld corrosion in a conduit, comprising one or more predictor processors in communication with one or more memory devices, the one or more memory devices containing computer-readable instructions that, when executed by the one or more predictor processors, can operate to:
- receive at least two datasets, the datasets containing information obtained from a probe traversing at least a segment of the interior of the conduit and detecting magnetic flux leakage in at least two different orientations relative to and in proximity to a conduit seam of the conduit;
- identify and analyze an anomaly using the at least two datasets, each dataset corresponding to one of the orientations of magnetic flux leakage, to determine a probability of the anomaly containing selective seam weld corrosion, thereby distinguishing the anomaly from other forms of corrosion;
- and
- generate an alert status that the portion of the conduit containing the anomaly should be remediated when the probability is greater than a predetermined percentage.
A computer-implemented method for systematically detecting and remediating selective seam weld corrosion in a conduit, comprising,
- receiving at least two datasets, the datasets containing information obtained from a probe traversing at least a segment of the interior of the conduit and detecting magnetic flux leakage in at least two different orientations relative to and in proximity to a conduit seam of the conduit;
- identifying and analyzing an anomaly using the at least two datasets, each dataset corresponding to one of the orientations of magnetic flux leakage, to determine a probability of the anomaly containing selective seam weld corrosion, thereby distinguishing the anomaly from other forms of corrosion;
- and
- generating an alert status that the portion of the conduit containing the anomaly should be remediated when the probability is greater than a predetermined percentage.
Dependencies are inferred from the claim text.