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Volumn 29, Issue 6, 2011, Pages 579-587

An artificial neural network model for design of wellhead chokes in gas condensate production fields

Author keywords

gas condensate; modeling; neural network; subcritical flow; wellhead choke

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; CONDENSATE PRODUCTION FIELDS; EMPIRICAL CORRELATIONS; FLOW CONDITION; HIDDEN LAYERS; HYPERBOLIC TANGENT; LEVENBERG-MARQUARDT; MODELING; NEUROMORPHIC; OUTPUT VALUES; SIGMOID ACTIVATION FUNCTION; SUBCRITICAL FLOW;

EID: 79951568479     PISSN: 10916466     EISSN: 15322459     Source Type: Journal    
DOI: 10.1080/10916460903551065     Document Type: Article
Times cited : (19)

References (9)
  • 1
    • 40749115929 scopus 로고    scopus 로고
    • Performance of wellhead chokes during sub-critical flow of gas condensates
    • DOI 10.1016/j.petrol.2007.08.001, PII S0920410507001428
    • Al-Attar, H. (2008). Performance of wellhead chokes during sub-critical flow of gas condensates. J. Petrol. Sci. Eng. 60:205-212. (Pubitemid 351377527)
    • (2008) Journal of Petroleum Science and Engineering , vol.60 , Issue.3-4 , pp. 205-212
    • Al-Attar, H.1
  • 4
    • 1642460003 scopus 로고    scopus 로고
    • Applicability of Sachdeva's choke flow model in Southwest Louisiana gas condensate wells
    • Calgary, Alberta, Canada, April 30-May 2
    • Guo, B., and Al-Bemani, A. S. (2002). Applicability of Sachdeva's choke flow model in Southwest Louisiana gas condensate wells. Paper No. 231, SPE Gas Technology Symposium, Calgary, Alberta, Canada, April 30-May 2.
    • (2002) Paper No. 231, SPE Gas Technology Symposium
    • Guo, B.1    Al-Bemani, A.S.2
  • 8
    • 33751073708 scopus 로고    scopus 로고
    • Application of diamond to enhance choke valve life in erosive duties
    • DOI 10.1016/j.wear.2006.02.003, PII S0043164806000822
    • Wheeler, D. W., Wood, R. J. K., Harrison, D., and Smith, E. (2006). Application of diamond to enhance choke valve life in erosive duties. Wear 261:1087-1094. (Pubitemid 44767639)
    • (2006) Wear , vol.261 , Issue.10 , pp. 1087-1094
    • Wheeler, D.W.1    Wood, R.J.K.2    Harrison, D.3    Smith, E.4
  • 9
    • 79951561250 scopus 로고    scopus 로고
    • Predicting the sulfur precipitation phenomena during the production of sour natural gas by using an artificial neural network
    • ZareNezhad, B., and Aminian, A. (2011). Predicting the sulfur precipitation phenomena during the production of sour natural gas by using an artificial neural network. Petrol. Sci. Tech. 20:1-10.
    • (2011) Petrol. Sci. Tech. , vol.20 , pp. 1-10
    • Zarenezhad, B.1    Aminian, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.