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Title:
ESTIMATING WORST CASE CORROSION IN A PIPEPLINE
Document Type and Number:
WIPO Patent Application WO/2010/014471
Kind Code:
A3
Abstract:
A method and system for estimating the worst case corrosion in a pipeline for which pipeline wall thickness measurements are limited to sampled ultrasonic or radiography (UT/RT) measurements. A data library contains distributions of in-line inspection (ILI) measurements for other pipelines, calibrated to correspond to UT/RT measurements as needed. These ILI datasets are randomly sampled multiple times, to obtain multiple sample sets from each ILI dataset. Candidate statistical distributions are evaluated for each sample set to determine which of the candidate statistical distributions most accurately estimates the worst case corrosion measured by ILI. A discriminant function is then derived from sample statistics and pipeline descriptors associated with the sample sets, along with the best candidate statistical distribution for that sample set. Sample statistics and pipeline descriptors for the pipeline with sampled UT/RT measurements are then applied to the discriminant function to determine the best one of the candidate statistical distributions for extreme value estimation, and the worst case corrosion is then determined using that best statistical distribution

Inventors:
ZIEGEL ERIC (US)
BAILEY RICHARD S (GB)
SPRAGUE KIP P (US)
Application Number:
PCT/US2009/051379
Publication Date:
October 26, 2012
Filing Date:
July 22, 2009
Export Citation:
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Assignee:
BP CORP NORTH AMERICA INC (US)
BP EXPLORATION OPERATING (GB)
ZIEGEL ERIC (US)
BAILEY RICHARD S (GB)
SPRAGUE KIP P (US)
International Classes:
F01B17/02; F17D5/00
Other References:
KHAN F ET AL: "Statistical approach to inspection planning and integrity assessment", INSIGHT, vol. 49, no. 1, January 2007 (2007-01-01), pages 26 - 36, XP008155410, ISSN: 1354-2575
NAJJAR D ET AL: "A new approach to predict the pit depth extreme value of a localized corrosion process", ISIJ INTERNATIONAL, vol. 43, no. 5, 2003, pages 720 - 725, XP008155404, ISSN: 0915-1559
ALFONSO L ET AL: "Application of extreme value statistics to the prediction of maximum pit depth in non-piggable, buried pipelines", PROCEEDINGS OF THE 7TH ASME INTERNATIONAL PIPELINE CONFERENCE 2008 (IPC2008), 29 SEPTEMBER - 3 OCTOBER 2008, CALGARY, ALBERTA, CANADA, vol. 4, 29 September 2008 (2008-09-29), pages 389 - 397, XP008155380, ISBN: 978-0-7918-4860-9
BAILEY R ET AL: "Enough is enough: Data sufficiency", SPE INTELLIGENT ENERGY CONFERENCE AND EXHIBITION, 23-25 MARCH 2010, UTRECHT, NL, PAPER SPE 128697, March 2010 (2010-03-01), XP008151298, ISBN: 978-1-61738-213-0, DOI: 10.2118/128697-MS
ZIEGEL E ET AL: "Using data mining to build a tool to estimate the extent of pipeline corrosion", SPE DIGITAL ENERGY CONFERENCE AND EXHIBITION 2011, 19-21 APRIL 2011, THE WOODLANDS, TEXAS, USA, April 2011 (2011-04-01), pages 144181 - 1, XP008151295, ISBN: 978-1-61782-741-9, DOI: 10.2118/144181-MS
Attorney, Agent or Firm:
KOPECKY, Shirley (4101 Winfield RoadWarrenville, IL, US)
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