Kinder Morgan, Inc.

Kinder Morgan Kansas, Inc.

Noel Duckworth

Ron Sherstan

Tony Wright

Embodiments of the present invention provide methods, machines, and a computer medium or media having computer programs to determine presence anomalies in circumferential welds of one or more pipelines transporting fluids associated with energy therethrough. Wave form analysis or pattern recognition in pipeline data such as magnetic flux leakage data is employed. A screening process, for example, does not affect or change how survey data is recorded such as in survey tools; only how it is analyzed after the survey data is completed. Embodiments of the machines, methods, and computer medium having computer programs can be used to screen for anomalies potentially threatening the structural integrity of the one or more pipelines so that site excavation can occur for confirmation and validation of the output results.

Method, machine, and computer medium having computer program to detect and evaluate structural anomalies in circumferentially welded pipelines

Embodiments of the present invention provide systems, methods, and computer medium having computer programs to determine presence of stress corrosion cracking in one or more pipelines or portions thereof such as pipeline joints by utilizing pattern recognition in pipeline data such as magnetic flux leakage data. A screening process, for example, does not affect or change how survey data is recorded such as in survey tools; only how it is analyzed after the survey data is completed. Embodiments of the systems, methods, and computer medium having computer programs can be used to screen for potential locations of stress corrosion cracking in one or more pipelines so that site excavation can occur for confirmation and validation of the output results.

System, method and computer medium having computer program to determine presence of stress corrosion cracking in pipelines with pattern recognition

Embodiments of the present invention provide systems to detect crack-like features in pipeline welds using magnetic flux leakage data and pattern recognition. A screening process, for example, does not affect or change how survey data is recorded in survey tools; only how it is analyzed after the survey data is completed. Embodiments of the present invention can be used to screen for very narrow axial anomalies in the pipeline welds, and may also be used to predict the length of such anomalies. Embodiments of the present invention also produce a listing of the anomalies based on their relative signal characteristics.

System to screen for longitudinal-seam anomalies

Embodiments of the present invention provide computer-implemented methods to detect crack-like features in pipeline welds using magnetic flux leakage data and pattern recognition. A screening process, for example, does not affect or change how survey data is recorded in survey tools; only how it is analyzed after the survey data is completed. Embodiments of the present invention can be used to screen for very narrow axial anomalies in the pipeline welds, and may also be used to predict the length of such anomalies. Embodiments of the present invention also produce a listing of the anomalies based on their relative signal characteristics.

Computer-implemented method to screen for longitudinal-seam anomalies

Embodiments of the present invention provide systems, program product and methods to detect crack-like features in pipeline welds using magnetic flux leakage data and pattern recognition. A screening process, for example, does not affect or change how survey data is recorded in survey tools; only how it is analyzed after the survey data is completed. Embodiments of the present invention can be used to screen for very narrow axial anomalies in the pipeline welds, and may also be used to predict the length of such anomalies. Embodiments of the present invention also produce a listing of the anomalies based on their relative signal characteristics.

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Richmond, TX, United States of America

Noel Duckworth