NO20093357L - Neuralnett for bruk i boresimulering - Google Patents

Neuralnett for bruk i boresimulering

Info

Publication number
NO20093357L
NO20093357L NO20093357A NO20093357A NO20093357L NO 20093357 L NO20093357 L NO 20093357L NO 20093357 A NO20093357 A NO 20093357A NO 20093357 A NO20093357 A NO 20093357A NO 20093357 L NO20093357 L NO 20093357L
Authority
NO
Norway
Prior art keywords
drilling tool
optimization system
data
neural network
simulation
Prior art date
Application number
NO20093357A
Other languages
English (en)
Inventor
David P Moran
Mark P Frenzel
Roy Duncan
Original Assignee
Smith International
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
Application filed by Smith International filed Critical Smith International
Publication of NO20093357L publication Critical patent/NO20093357L/no

Links

Classifications

    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B7/00Special methods or apparatus for drilling
    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B44/00Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00Systems involving the use of models or simulators of said systems
    • G05B17/02Systems involving the use of models or simulators of said systems electric
    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/22Fuzzy logic, artificial intelligence, neural networks or the like

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Mining & Mineral Resources (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Geology (AREA)
  • Artificial Intelligence (AREA)
  • Automation & Control Theory (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Fluid Mechanics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Earth Drilling (AREA)
  • Numerical Control (AREA)
  • Feedback Control In General (AREA)

Abstract

En fremgangsmåte for optimering av en boreverktøyanordning innbefatter innlegging av brønndata i et optimeringssystem. Optimeringssystemet har et erfaringsdatasett og et kunstig nettverk. Videre innbefatter fremgangsmåten en sammenligning mellom brønndataene og erfaringsdatasettet og utvikling av en initiell boreverktøyanordning basert på sammenligningen mellom brønndataene og erfaringsdataene, idet boreverktøyanordningen utvikles ved hjelp av det kunstige nettverket. I tillegg innbefatter fremgangsmåten en simulering av den initielle boreverktøyanordningen i optimerings- systemet og tilveiebringelse av resultatdata i Optimeringssystemet basert på simuleringen.
NO20093357A 2007-04-19 2009-11-17 Neuralnett for bruk i boresimulering NO20093357L (no)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US91282007P 2007-04-19 2007-04-19
US12/105,108 US8285531B2 (en) 2007-04-19 2008-04-17 Neural net for use in drilling simulation
PCT/US2008/060909 WO2008131285A1 (en) 2007-04-19 2008-04-18 Neural net for use in drilling simulation

Publications (1)

Publication Number Publication Date
NO20093357L true NO20093357L (no) 2010-01-08

Family

ID=39873127

Family Applications (1)

Application Number Title Priority Date Filing Date
NO20093357A NO20093357L (no) 2007-04-19 2009-11-17 Neuralnett for bruk i boresimulering

Country Status (5)

Country Link
US (2) US8285531B2 (no)
CA (1) CA2684405A1 (no)
GB (1) GB2460793B (no)
NO (1) NO20093357L (no)
WO (1) WO2008131285A1 (no)

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Also Published As

Publication number Publication date
US8954304B2 (en) 2015-02-10
GB2460793B (en) 2012-08-15
WO2008131285A1 (en) 2008-10-30
GB0917862D0 (en) 2009-11-25
CA2684405A1 (en) 2008-10-30
GB2460793A (en) 2009-12-16
US8285531B2 (en) 2012-10-09
US20080262810A1 (en) 2008-10-23
US20130036077A1 (en) 2013-02-07

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