메뉴 건너뛰기




Volumn 69, Issue 1-2, 2009, Pages 156-162

Casing collapse risk assessment and depth prediction with a neural network system approach

Author keywords

BPNN; GRNN; neural network system

Indexed keywords

BPNN; CASING DESIGN; ELASTIC EFFECTS; FIELD DATA; FIELD DEVELOPMENT; FINANCIAL DECISIONS; GRNN; NET RETURN; NEURAL NETWORK SYSTEM; NEURAL NETWORK SYSTEMS; RESERVOIR COMPACTION; WORKOVER;

EID: 70349420805     PISSN: 09204105     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.petrol.2009.08.011     Document Type: Article
Times cited : (55)

References (4)
  • 1
    • 70349424903 scopus 로고    scopus 로고
    • SPE, University of Calgary, "Wellbore Stability Analysis in UBD Wells of Iranian Fields"
    • Hareland G., and Salehi S. SPE, University of Calgary, "Wellbore Stability Analysis in UBD Wells of Iranian Fields". SPE 105155 (2007)
    • (2007) SPE , vol.105155
    • Hareland, G.1    Salehi, S.2
  • 2
    • 85028117853 scopus 로고    scopus 로고
    • Using neural network for prediction of formation fracture gradient
    • Nashavi I.S., and Sadiq T. Using neural network for prediction of formation fracture gradient. SPE/Pet. Soc. CIM 65463 (2000)
    • (2000) SPE/Pet. Soc. CIM , vol.65463
    • Nashavi, I.S.1    Sadiq, T.2
  • 3
    • 70349424900 scopus 로고    scopus 로고
    • NISOC, NISOC R&D Solutions Project #1, casing collapse (well integrity); Phase 1-concept & feasibility study, June 2005, Ahwaz, Iran.
    • NISOC, "NISOC R&D Solutions Project #1, casing collapse (well integrity); Phase 1-concept & feasibility study", June 2005, Ahwaz, Iran.
  • 4
    • 70349418733 scopus 로고    scopus 로고
    • Stuck pipe prediction and avoidance: a convolutional neural network approach
    • IADC/SPE 98378
    • Siruvuri, C., Samuel, R., Nagarakanti, S., 2006. Haliburton Digital and Consulting Solutions; Nabors Industries, "Stuck pipe prediction and avoidance: a convolutional neural network approach", IADC/SPE 98378.
    • (2006)
    • Siruvuri, C.1    Samuel, R.2    Nagarakanti, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.