메뉴 건너뛰기




Volumn , Issue , 2002, Pages 3191-3200

A Critical Overview of Artificial Neural Network Applications in the Context of Continuous Oil Field Optimization

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER HARDWARE; COMPUTER SOFTWARE; DECISION MAKING; INTELLIGENT CONTROL; NEURAL NETWORKS; OIL WELL COMPLETION; OPTIMIZATION; SCADA SYSTEMS; SENSORS;

EID: 0142091936     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/77703-ms     Document Type: Conference Paper
Times cited : (53)

References (40)
  • 1
    • 0036496264 scopus 로고    scopus 로고
    • Improving performance using new technology and intelligent asset management
    • Airlie, C., "Improving performance using new technology and intelligent asset management", World Oil, Vol. 223, No. 3, 44-51, 2002.
    • (2002) World Oil , vol.223 , Issue.3 , pp. 44-51
    • Airlie, C.1
  • 3
    • 0344232050 scopus 로고
    • An Industrial Perspective on the Evolution of Control Technology
    • R. Berber (Ed.) NATO ASI Series
    • Cutler, C.R.: "An Industrial Perspective on the Evolution of Control Technology," in Methods of Model Based Process Control, R. Berber (Ed.), NATO ASI Series, 643-658, 1995.
    • (1995) Methods of Model Based Process Control , pp. 643-658
    • Cutler, C.R.1
  • 5
    • 0036495792 scopus 로고    scopus 로고
    • How intelligent well technology can maximize recoverable reserves
    • Drakeley, B., and N. Douglas, "How intelligent well technology can maximize recoverable reserves", World Oil, Vol. 223, No. 3, 35-39, 2002.
    • (2002) World Oil , vol.223 , Issue.3 , pp. 35-39
    • Drakeley, B.1    Douglas, N.2
  • 7
    • 84888940604 scopus 로고    scopus 로고
    • CT Scan an Neural Network Technology for Construction of detailed Distribution of Residual Oil Saturatin during Waterflloding
    • Garg A., Kovscek A., Nikravesh M., Castanier L., Patzek T., "CT Scan an Neural Network Technology for Construction of detailed Distribution of Residual Oil Saturatin during Waterflloding" SPE35737, 1996
    • (1996) SPE35737
    • Garg, A.1    Kovscek, A.2    Nikravesh, M.3    Castanier, L.4    Patzek, T.5
  • 8
    • 0030698495 scopus 로고    scopus 로고
    • Universal Neural Network Based Model for Estimating The PVT Properties of Crude Oil Systems
    • Gharbi R., Elsharkawy A., "Universal Neural Network Based Model for Estimating The PVT Properties of Crude Oil Systems". SPE38099. 1997.
    • (1997) SPE38099
    • Gharbi, R.1    Elsharkawy, A.2
  • 10
    • 84888968073 scopus 로고    scopus 로고
    • Using an Expert System To Select the Optimal Fracturing Fluid and Treatment Volume
    • June 95
    • Holditch, S.A., Xiong, Hongjie, Rueda J., Rahim Z., "Using an Expert System To Select the Optimal Fracturing Fluid and Treatment Volume" SPE26188 June 95.
    • SPE26188
    • Holditch, S.A.1    Xiong, H.2    Rueda, J.3    Rahim, Z.4
  • 13
    • 0002501930 scopus 로고    scopus 로고
    • Estimating Permeability by Use of neural Networks in Thinly bedded Shaly gas Sands
    • April
    • Malki H. A. and Baldwin, J, "Estimating Permeability by Use of neural Networks in Thinly bedded Shaly gas Sands," SPE Computer Applications, (April 1996).
    • (1996) SPE Computer Applications
    • Malki, H.A.1    Baldwin, J.2
  • 14
    • 84943245753 scopus 로고
    • On the Comparison Results of the Neural Networks Trained Using Well-Logs From One Service Company and Tested on Another Service Company
    • San Francisco, CA, march 29-April 1
    • Malki H. A. and Baldwin, J. "On the Comparison Results of the Neural Networks Trained Using Well-Logs From One Service Company and Tested on Another Service Company," 1993 IEEE International Conference on Neural Networks, San Francisco, CA, march 29-April 1.
    • (1993) 1993 IEEE International Conference on Neural Networks
    • Malki, H.A.1    Baldwin, J.2
  • 15
    • 0005905923 scopus 로고    scopus 로고
    • Determination of Lithofacies from Well-Logs Using Neural Networks
    • Spring 94
    • Malki, H. A. and Baldwin J. "Determination of Lithofacies from Well-Logs Using Neural Networks," ASEE Technology Journal (Spring 94) 33.
    • ASEE Technology Journal , pp. 33
    • Malki, H.A.1    Baldwin, J.2
  • 16
    • 0033330262 scopus 로고    scopus 로고
    • A Probabilistic Reasoning Tool for Circulation Monitoring Based on Flow Measurements
    • October
    • Mansure A.J., and Whitlow G.L., Corser G.P., Harmse J., and Wallace R.D., "A Probabilistic Reasoning Tool for Circulation Monitoring Based on Flow Measurements" SPE56434. October 1999
    • (1999) SPE56434
    • Mansure, A.J.1    Whitlow, G.L.2    Corser, G.P.3    Harmse, J.4    Wallace, R.D.5
  • 17
    • 0027678363 scopus 로고
    • How Artificial Neural Intelligence Impacts E&P Productivity
    • Oct.
    • McCormack, M. D. and Day, R. "How Artificial Neural Intelligence Impacts E&P Productivity," World Oil (Oct. 1993) 81.
    • (1993) World Oil , pp. 81
    • McCormack, M.D.1    Day, R.2
  • 19
    • 0030283674 scopus 로고    scopus 로고
    • Predicting Well-Stimulation Results in a Gas Storage Field in the Absence of Reservoir Data With Neural Networks
    • November
    • Mohaghegh S., McVey D., Aminian K. and Ameri L., "Predicting Well-Stimulation Results in a Gas Storage Field in the Absence of Reservoir Data With Neural Networks". SPE31159., November 1996.
    • (1996) SPE31159
    • Mohaghegh, S.1    McVey, D.2    Aminian, K.3    Ameri, L.4
  • 20
    • 0029748872 scopus 로고    scopus 로고
    • A Hybrid, Neuro-Genetic Approach to Hydraulic Fracture Treatment Design and Optimization
    • October
    • Mohaghegh, S., Balan, B., Ameri, S., McVey, D.S., "A Hybrid, Neuro-Genetic Approach to Hydraulic Fracture Treatment Design and Optimization" SPE36602. October 1996
    • (1996) SPE36602
    • Mohaghegh, S.1    Balan, B.2    Ameri, S.3    McVey, D.S.4
  • 22
    • 0032287393 scopus 로고    scopus 로고
    • Candidate Selection for Stimulation of Gas Storage Wells Using Available Data With Neural Networks and Genetic Algorithms
    • November
    • Mohaghegh, S., Platon, V., "Candidate Selection for Stimulation of Gas Storage Wells Using Available Data With Neural Networks and Genetic Algorithms" SPE 51080. November 1998.
    • (1998) SPE 51080
    • Mohaghegh, S.1    Platon, V.2
  • 23
    • 85020419822 scopus 로고    scopus 로고
    • Reducing cost of field-scale log analysis using vitual Intelligence techniques
    • October
    • Mohaghegh, S., Popa, A., Coperna, G., Hill, D., "Reducing cost of field-scale log analysis using vitual Intelligence techniques". SPE57454. October 1999.
    • (1999) SPE57454
    • Mohaghegh, S.1    Popa, A.2    Coperna, G.3    Hill, D.4
  • 25
    • 0026923686 scopus 로고
    • Neural Networks Provide More Accurate Reservoir Permeability
    • September
    • Osborne, D. A. "neural Networks Provide More Accurate Reservoir Permeability," Oil & Gas Journal (September 1992).
    • (1992) Oil & Gas Journal
    • Osborne, D.A.1
  • 26
    • 0004225001 scopus 로고
    • Invention Report 581-64, File 1, Office of Technology Licensing, Stanford University
    • Parker, D. B., Learning Logic, Invention Report 581-64, File 1, Office of Technology Licensing, Stanford University, 1982.
    • (1982) Learning Logic
    • Parker, D.B.1
  • 30
    • 0032293917 scopus 로고    scopus 로고
    • Prediction of Frictional Drag and Transmission of Slack-off Force in Horizontal Wells Using Neural Networks
    • November
    • Sadiq T. and Gharbi R., "Prediction of Frictional Drag and Transmission of Slack-off Force in Horizontal Wells Using Neural Networks". SPE 51083. November 1998.
    • (1998) SPE 51083
    • Sadiq, T.1    Gharbi, R.2
  • 31
    • 84888970786 scopus 로고    scopus 로고
    • Front-end-loading metric on well construction projects
    • Saputelli L., "Front-end-loading metric on well construction projects". PDVSA Internal Report. 1999.
    • (1999) PDVSA Internal Report
    • Saputelli, L.1
  • 33
    • 84889716080 scopus 로고    scopus 로고
    • Production Optimization at the Kuparuk River Field Utilizing Neural Networks and Genetic Algorithms
    • March
    • Stoisits R., Crawford K., MacAllister D., Lawal A., Ogbe D., "Production Optimization at the Kuparuk River Field Utilizing Neural Networks and Genetic Algorithms", SPE52177, March 1999.
    • (1999) SPE52177
    • Stoisits, R.1    Crawford, K.2    Macallister, D.3    Lawal, A.4    Ogbe, D.5
  • 34
    • 3042859057 scopus 로고    scopus 로고
    • Soft computing for intelligent reservoir characterization
    • Apr. 25-26
    • Tamhane, D., Wong, P.M., Aminzadeh, F. and Nikravesh, M. "Soft computing for intelligent reservoir characterization", SPE 59397Apr. 25-26, 2000.
    • (2000) SPE 59397
    • Tamhane, D.1    Wong, P.M.2    Aminzadeh, F.3    Nikravesh, M.4
  • 35
    • 0029182510 scopus 로고
    • Virtual Measurement in Pipes, Part 1: Flowing Bottom Hole Pressure under Multi-phase flow and inclined wellbore conditions
    • September
    • Ternyik J., Bilgesu H., Mohaghegh, S., Rose D., "Virtual Measurement in Pipes, Part 1: Flowing Bottom Hole Pressure under Multi-phase flow and inclined wellbore conditions" SPE30975. September 1995
    • (1995) SPE30975
    • Ternyik, J.1    Bilgesu, H.2    Mohaghegh, S.3    Rose, D.4
  • 36
    • 0036495115 scopus 로고    scopus 로고
    • Setting the value of permanent reservoir monitoring and control
    • Tyrie, J., "Setting the value of permanent reservoir monitoring and control", World Oil, Vol. 223, No. 3, 40-43, 2002.
    • (2002) World Oil , vol.223 , Issue.3 , pp. 40-43
    • Tyrie, J.1
  • 37
    • 0033511001 scopus 로고    scopus 로고
    • Modeling porosity distribution in the Anan Oilfield: Use of geological quantification, neural networks and geostatistics
    • Wang, L., Wong, P.M. and Shibli, S.A.R. "Modeling porosity distribution in the Anan Oilfield: Use of geological quantification, neural networks and geostatistics. SPE Reservoir Evaluation and Engineering, 2(6): 527-532(1999).
    • (1999) SPE Reservoir Evaluation and Engineering , vol.2 , Issue.6 , pp. 527-532
    • Wang, L.1    Wong, P.M.2    Shibli, S.A.R.3
  • 39
    • 0029196020 scopus 로고
    • Application of ANNs for zone identification in a complex reservoir
    • September
    • White A., Molnar, D., Aminiam, Mohaghegh S., Ameri, S., Esposito, P., "Application of ANNs for zone identification in a complex reservoir". SPE30977, September, 1995.
    • (1995) SPE30977
    • White, A.1    Molnar, D.2    Aminiam, M.S.3    Ameri, S.4    Esposito, P.5
  • 40
    • 0031182361 scopus 로고    scopus 로고
    • A neural network approach to knowledge-based well interpolation: A case study of a fluvial sandstone reservoir
    • Wong, P.M., Tamhane, D. and Wang, L. A neural network approach to knowledge-based well interpolation: A case study of a fluvial sandstone reservoir. Journal of Petroleum Geology, 20(3): 363-372 (1997).
    • (1997) Journal of Petroleum Geology , vol.20 , Issue.3 , pp. 363-372
    • Wong, P.M.1    Tamhane, D.2    Wang, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.