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EP3938622
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Extract from the Register of European Patents
EP Citations: EP3938622
| Cited in | International search | Type: | Patent literature | Publication No.: | EP2418466
[Y] (WEATHERFORD LAMB [US]) [Y] 1-35,45 * paragraph [0043] - paragraph [0057]; figures 11-14 *; | Type: | Patent literature | Publication No.: | WO2017214729
[X] (HIFI ENG INC [CA]) [X] 36-41,43,44 * page 8 - page 19 *; | Type: | Patent literature | Publication No.: | WO2018057029
[XYI] (HALLIBURTON ENERGY SERVICES INC [US]) [X] 36-41,43,44,46 * page 2, line 19 - page 3, line 9 * * page 4, line 11 - page 8, line 3 * * page 10, line 3 - line 9 * * figures 1-6 * [Y] 45 [I] 42; | Type: | Patent literature | Publication No.: | US2018252097
[A] (SKINNER NEAL GREGORY [US], et al) [A] 1-35 * paragraph [0032] - paragraph [0043]; figures 3A-D *; | Type: | Patent literature | Publication No.: | WO2019038401
[Y] (BP EXPLORATION OPERATING CO LTD [GB]) [Y] 1-35 * paragraphs [0001] - [0165]; figures 1-10 *; | Type: | Non-patent literature | Publication information: | [X] - MA KING ET AL, "Deep learning on temporal-spectral data for anomaly detection", PROCEEDINGS OF SPIE; [PROCEEDINGS OF SPIE ISSN 0277-786X VOLUME 10524], SPIE, US, (20170504), vol. 10190, doi:10.1117/12.2262037, ISBN 978-1-5106-1533-5, pages 101900D - 101900D, XP060088896 [X] 36-41,43,44 * paragraph [0001] - paragraph [0008] * | DOI: | http://dx.doi.org/10.1117/12.2262037 | Type: | Non-patent literature | Publication information: | [X] - WANG FANG ET AL, "Pipeline Leak Detection by Using Time-Domain Statistical Features", IEEE SENSORS JOURNAL, IEEE SERVICE CENTER, NEW YORK, NY, US, vol. 17, no. 19, doi:10.1109/JSEN.2017.2740220, ISSN 1530-437X, (20171001), pages 6431 - 6442, (20170907), XP011660154 [X] 36-41 * paragraph [000I] - paragraph [000V] * | DOI: | http://dx.doi.org/10.1109/JSEN.2017.2740220 |