NO20050791L - Monster recognition template for oil exploration and production - Google Patents

Monster recognition template for oil exploration and production

Info

Publication number
NO20050791L
NO20050791L NO20050791A NO20050791A NO20050791L NO 20050791 L NO20050791 L NO 20050791L NO 20050791 A NO20050791 A NO 20050791A NO 20050791 A NO20050791 A NO 20050791A NO 20050791 L NO20050791 L NO 20050791L
Authority
NO
Norway
Prior art keywords
templates
monster
production
pattern database
hyperdimensional
Prior art date
Application number
NO20050791A
Other languages
Norwegian (no)
Inventor
Peter Whitehead
Robert Wentland
Original Assignee
Chroma Energy Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US10/308,860 external-priority patent/US7162463B1/en
Application filed by Chroma Energy Inc filed Critical Chroma Energy Inc
Publication of NO20050791L publication Critical patent/NO20050791L/en

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/28—Determining representative reference patterns, e.g. by averaging or distorting; Generating dictionaries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/98—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
    • G06V10/987—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns with the intervention of an operator

Landscapes

  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Geophysics (AREA)
  • Quality & Reliability (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Geophysics And Detection Of Objects (AREA)

Abstract

Det beskrives en anordning, et system og et sett av metoder for å generere sjabloner som kan brukes ved leting etter og utvinning av olje- og gassforekomster. En personlig data-maskin (160) brukes til å utføre beregninger på kjent data (184) for å generere hyperdimensjonale sjabloner som lagres i en mønsterdatabase (186). De hyperdimensjonale sjabloner genereres i en flerlags rekke av avskjærings-, attributt- og statistikkfaser ved bruk av data som er kjent for å representere eksisterende olje- og gassreservoarer. De hyperdimensjonale sjabloner lagres i mønsterdatabasen (188). Det beskrives fremgangsmåter for å identifisere feilklassifikasjoner og ellers bestemme kvaliteten av sjablonene i mønsterdatabasen.It describes a device, a system and a set of methods for generating templates that can be used in exploration for and extraction of oil and gas deposits. A personal computer (160) is used to perform calculations on known data (184) to generate hyperdimensional templates stored in a pattern database (186). The hyperdimensional templates are generated in a multilayer series of cut-off, attribute, and statistical phases using data known to represent existing oil and gas reservoirs. The hyperdimensional templates are stored in the pattern database (188). Methods are described for identifying error classifications and otherwise determining the quality of the templates in the pattern database.

NO20050791A 2002-07-12 2005-02-14 Monster recognition template for oil exploration and production NO20050791L (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US39596002P 2002-07-12 2002-07-12
US39595902P 2002-07-12 2002-07-12
US10/308,860 US7162463B1 (en) 2002-07-12 2002-12-03 Pattern recognition template construction applied to oil exploration and production
PCT/US2003/021723 WO2004008338A1 (en) 2002-07-12 2003-07-14 Oil exploration and production pattern recognition template

Publications (1)

Publication Number Publication Date
NO20050791L true NO20050791L (en) 2005-02-14

Family

ID=30119069

Family Applications (1)

Application Number Title Priority Date Filing Date
NO20050791A NO20050791L (en) 2002-07-12 2005-02-14 Monster recognition template for oil exploration and production

Country Status (4)

Country Link
EP (1) EP1540506A4 (en)
AU (1) AU2003249051A1 (en)
NO (1) NO20050791L (en)
WO (1) WO2004008338A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009011735A1 (en) 2007-07-16 2009-01-22 Exxonmobil Upstream Research Company Geologic features from curvelet based seismic attributes

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3921015B2 (en) * 1999-09-24 2007-05-30 富士通株式会社 Image analysis apparatus and method, and program recording medium
US6983068B2 (en) * 2001-09-28 2006-01-03 Xerox Corporation Picture/graphics classification system and method

Also Published As

Publication number Publication date
WO2004008338A1 (en) 2004-01-22
EP1540506A1 (en) 2005-06-15
AU2003249051A1 (en) 2004-02-02
EP1540506A4 (en) 2008-07-09

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Legal Events

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FC2A Withdrawal, rejection or dismissal of laid open patent application