An intelligent system to detect drilling problems through drilled cuttings return analysis

SPE/IADC Drilling Conference, Proceedings

Volumn 2, Issue , 2010, Pages 1123-1130

  Marana, A N ^a   Guilherme, I R ^a   Papa, J P ^a   Ferreira, M V D ^b   Miura, K ^b   Torres, F A C ^b  

^a SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

^b PETROBRAS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE TECHNIQUES; ARTIFICIAL NEURAL NETWORK; BAYESIAN CLASSIFIER; BOREHOLE WALL; DATA ANALYSIS; DATA ANALYSIS SYSTEM; DOWNHOLES; DRILLED CUTTINGS; DRILLING PROBLEMS; DRILLING PROCESS; FIELD TEST; GEOLOGICAL ANALYSIS; HIGH DEFINITION; MATERIAL BALANCE; MULTI-LAYER PERCEPTRONS; NON-INTRUSIVE; OFFSHORE FLOATING; SHALE SHAKERS; SURFACE SYSTEMS;

DATA REDUCTION; INTELLIGENT SYSTEMS; MUD LOGGING; NEURAL NETWORKS; OFFSHORE OIL WELLS; OIL WELLS; PATTERN RECOGNITION SYSTEMS; PETROLEUM INDUSTRY; SAILING VESSELS; SHALE; SUPPORT VECTOR MACHINES;

WELL DRILLING;

EID: 77954186253     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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