GE Energy Infrastructure

About: GE Energy Infrastructure is a based out in . It is known for research contribution in the topics: Wind power & Turbine. The organization has 1954 authors who have published 1781 publications receiving 20200 citations.

Tension tubing hanger and method of applying tension to production tubing

Abstract: A tubing hanger assembly includes a tubular outer tubing hanger member adapted to land in a bore of a wellhead. A tubular inner tubing hanger member is adapted to be secured to a string of production tubing and has an engaged position in a bore of the outer tubing hanger member. A retaining mechanism selectively allows the inner tubing hanger member to be lowered relative to the outer tubing hanger member, then selectively allowing the inner tubing hanger member to be returned back to the engaged position, to create tension in the string of production tubing. The retaining mechanism operates in response to rotational movement of the inner tubing hanger member while the outer tubing hanger member remains stationary with the wellhead.

System and method for detecting ground fault in a dc system

Abstract: A ground fault detection system (200) for locating a ground fault in a direct current (DC) power transfer system is provided. The system includes a ground fault detection component (250) and a current sensor (290). The ground fault detection component (250) includes a first switch (252) and a first resistive element (254) electrically coupled to each other in a series configuration. The ground fault detection component (250) also includes a second switch (258) and a second resistive element (256) electrically coupled to each other in a series configuration. Furthermore, the current sensor (290) is operatively coupled to a load (230) and is configured to measure a fault current at the load upon switching at least one of the first switch (252) and the second switch (258) to a conducting state.

A Practical Application to Calculating Corrosion Growth Rates by Comparing Successive ILI Runs From Different ILI Vendors

Abstract: Corrosion growth rates are an essential input into an Integrity Management Program but they can often be the largest source of uncertainty and error. A relatively simple method to estimate a corrosion growth rate is to compare the size of a corrosion anomaly over time and the most practical way to do this for a whole pipeline system is via the use of In-Line Inspection (ILI). However, the reported depth of the anomaly following an ILI run contains measurement uncertainties, i.e., sizing tolerances that must be accounted for in defining the uncertainty, or error associated with the measured corrosion growth rate. When the same inspection vendor performs the inspections then proven methods exist that enable this growth error to be significantly reduced but these methods include the use of raw inspection data and, specialist software and analysis. Guidelines presently exist to estimate corrosion growth rates using inspection data from different ILI vendors. Although well documented, they are often only applicable to “simple” cases, pipelines containing isolated corrosion features with low feature density counts. As the feature density or the corrosion complexity increases then different reporting specifications, interaction rules, analysis procedures, sizing models, etc can become difficult to account for, ultimately leading to incorrect estimations or larger uncertainties regarding the growth error. This paper will address these issues through the experiences of a North American pipeline operator. Accurately quantifying the reliability of pipeline assets over time requires accurate corrosion growth rates and the case study will demonstrate how the growth error was significantly reduced over existing methodologies. Historical excavation and recoat information was utilized to identify static defects and quantify systemic bias between inspections. To reduce differences in reporting and the analyst interpretation of the recorded magnetic signals, novel analysis techniques were employed to normalize the data sets against each other. The resulting uncertainty of the corrosion growth rates was then further reduced by deriving, and applying a regression model to reduce the effect of the different sizing models and the identified systemic bias. The reduced uncertainty ultimately led to a better understanding of the corrosion activity on the pipeline and facilitated a better integrity management decision process.Copyright © 2010 by ASME

Electric power conversion system and method of operating the same

Abstract: An electric power conversion system (300) is coupled to a high voltage direct current (HVDC) transmission system (304). The electric power conversion system includes a plurality of power conversion modules (306). At least one of the power conversion modules includes at least one power converter coupled to at least one DC power terminal (307). The power conversion module also includes at least one isolation device coupled to the at least one power converter. The at least one power converter and the at least one isolation device at least partially define an isolatable portion of the electric power conversion system. The at least one isolation device is configured to remove the isolatable portion from service. The at least one power converter is configured to decrease electric current transmission through the isolatable portion prior to opening the at least one isolation device.