Currently there is no universally accepted nomenclature system used in the pipeline industry. Typically each vendor or operator uses their own terminology based on relevant codes, training, and experience. This creates a problem when correlating Inline Inspection data with Non Destructive Evaluation and Metallurgical Sectioning results. ALIAS was created as a classification system independent of both vendor and operator specific terminology. In developing this universal nomenclature system, the authors consulted various pipeline operators and related regulatory bodies, as well as other publicized nomenclature systems. Once all of the terms were compiled, they were then merged, classified, and indexed. This index classification system will reflect the abilities and limitations of the three inspection methods and how they are related to each other so that proper correlation can be achieved.

For more information see the ALIAS website below or download the white paper in PDF form.

http://www.pipelinealias.com/
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The Anomaly Dimension and Position System (ADAPS) is a standardized system for reporting the size and position of anomalies on the pipeline. Implementing ADAPS ensures all anomalies, regardless of type or detection method, are reported with the necessary dimension and location information (i.e. length, width, depth, orientation) for that specific type of anomaly. For example, wall loss is reported by percent of wall loss, and dents by percent of outside diameter, versus the multitude of measurements possible. Position information such as orientation, which can be reported by inches from top dead center, degrees, or O’clock positions, are normalized to the same format to facilitate easy correlation and comparison. Many low resolution ILI survey logs and most conventional paper logs lack many of the required parameters to fully size and position an anomaly with ADAPS, therefore requiring a re-analysis of the survey log in greater detail.

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The HM Joint Numbering Convention (JNC) was prepared to define what types of features and fittings constitute joints on the pipeline. The JNC uses base ten numbers to identify each joint and its status within the pipeline system. The JNC has been provided to several ILI vendors to ensure consistency between the raw and standardized ILI data. However, if the standard was not provided to the ILI vender at the time of the contract, ILI joint tallies will need to be formatted to this standard, which often requires manual processing, auditing and review of the raw ILI survey log. Conventional paper survey logs, unlike today’s digital survey logs, have to be manually joint numbered, requiring that each joint be manually identified and recorded by its corresponding ILI odometer distance, then assigned the corresponding joint number as determined by JNC.

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ARMADILLO is the latest of HM's internet based solution and is designed to assist with HM's pig tracking services. ARMADILLO is a merger of several technologies that enables HM tracking personnel to securely submit data (site ID's and pig passage times)directly to an internet database. Data submissions are typically accomplished remotely through cell phone using telephone based technologies or through a secure website. Every time data is posted to the server, the website is immediately updated the pig's location and time passage. Through ARMADILLO, clients will now be able to log into a secure website using a standard web browser and view real time pig tracking reporting of the progressing of any current pig tracking projects performed by HM. The website lists the pipeline's tracking sites and distances. and then posts pig passage times as they become available. The website also calculates pig velocities and ETAS while showing a progress bar for the pig position in the pipeline on the top of page.