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Volumn 9, Issue 5, 2006, Pages 565-573

Incorporation of spatial characteristics into volcanic facies and favorable reservoir prediction

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CORE ANALYSIS; GEOPHYSICAL PROSPECTING; MATHEMATICAL MODELS; NEURAL NETWORKS; PETROLEUM GEOLOGY; PROBABILITY; REGRESSION ANALYSIS; WELL LOGGING;

EID: 33751078548     PISSN: 10946470     EISSN: None     Source Type: Journal    
DOI: 10.2118/90847-pa     Document Type: Article
Times cited : (21)

References (20)
  • 2
    • 0036698574 scopus 로고    scopus 로고
    • Determination of facies from well logs using modular neural networks
    • Bhatt, A. and Helle, H.B. 2002. Determination of facies from well logs using modular neural networks. Petroleum Geoscience 8 (3): 217.
    • (2002) Petroleum Geoscience , vol.8 , Issue.3 , pp. 217
    • Bhatt, A.1    Helle, H.B.2
  • 3
    • 22044434965 scopus 로고    scopus 로고
    • Volcanic lithofacies and volcanic structure analysis, Yingchen formation, Xujiaweizi rift depression, Songliao Basin
    • PhD dissertation, Geosciences U. of China
    • Chen, J. 2002. Volcanic lithofacies and volcanic structure analysis, Yingchen formation, Xujiaweizi rift depression, Songliao Basin. PhD dissertation, Geosciences U. of China.
    • (2002)
    • Chen, J.1
  • 5
    • 22044456675 scopus 로고    scopus 로고
    • Study on inclusion of deep buried igneous reservoir and forming period of gas pool in Song Liao basin
    • Feng, Z. et al. 2003. Study on inclusion of deep buried igneous reservoir and forming period of gas pool in Song Liao basin. Natural Gas Geoscience 14 (6): 436.
    • (2003) Natural Gas Geoscience , vol.14 , Issue.6 , pp. 436
    • Feng, Z.1
  • 6
    • 0031831182 scopus 로고    scopus 로고
    • Ordinary cokriging revisited
    • DOI: http://dx.doi.org/10.1023/A:1021757104135
    • Goovaerts, P. 1998. Ordinary cokriging revisited. Mathematical Geology 30 (1): 21. DOI: http://dx.doi.org/10.1023/A:1021757104135.
    • (1998) Mathematical Geology , vol.30 , Issue.1 , pp. 21
    • Goovaerts, P.1
  • 7
    • 0042504306 scopus 로고    scopus 로고
    • Geostatistical incorporation of spatial coordinates into supervised classification of hyperspectral data
    • DOI: http://dx.doi.org/10.1007/s101090100077
    • Goovaerts, P. 2002. Geostatistical incorporation of spatial coordinates into supervised classification of hyperspectral data. J. of Geographical Systems 4 (1): 99. DOI: http://dx.doi.org/10.1007/s101090100077.
    • (2002) J. of Geographical Systems , vol.4 , Issue.1 , pp. 99
    • Goovaerts, P.1
  • 8
    • 22044456400 scopus 로고    scopus 로고
    • Petroleum Geology, reflection on how to make a breakthrough in hydrocarbon exploration in north part of Songliao Basin
    • Guo, Z. 2002. Petroleum Geology, reflection on how to make a breakthrough in hydrocarbon exploration in north part of Songliao Basin. Petroleum Geology and Development of Daqing 17 (5): 2.
    • (2002) Petroleum Geology and Development of Daqing , vol.17 , Issue.5 , pp. 2
    • Guo, Z.1
  • 9
    • 0033714467 scopus 로고    scopus 로고
    • Probability logs for facies classification
    • Karpur, L., Lake, L., and Sepehrnoori, K. 2000. Probability logs for facies classification. In Situ 24 (1): 57.
    • (2000) In Situ , vol.24 , Issue.1 , pp. 57
    • Karpur, L.1    Lake, L.2    Sepehrnoori, K.3
  • 11
    • 1642437553 scopus 로고    scopus 로고
    • Cary, North Carolina: SAS Inst. Inc
    • SAS/SAT User Guide, version 9. 2002. Cary, North Carolina: SAS Inst. Inc.
    • (2002) SAS/SAT User Guide, Version 9
  • 12
    • 85088601363 scopus 로고    scopus 로고
    • Predicting Risks Associated With Offshore Production Facilities: Neural Network, Statistical, and Expert Opinion Models
    • Paper SPE 52677 presented at the Austin, Texas, 1-3 March. DOI: 10.2118/52667-MS
    • Shultz, J.R. and Fischbeck, P. 1999. Predicting Risks Associated With Offshore Production Facilities: Neural Network, Statistical, and Expert Opinion Models. Paper SPE 52677 presented at the SPE/EPA Exploration and Production Environmental Conference, Austin, Texas, 1-3 March. DOI: 10.2118/52667-MS.
    • (1999) SPE/EPA Exploration and Production Environmental Conference
    • Shultz, J.R.1    Fischbeck, P.2
  • 13
    • 33747845555 scopus 로고    scopus 로고
    • A new technique for lithofacies prediction: Back-propagation neural network
    • Athens, Georgia, 16-17 March
    • Siripitayananon, P., Chen, H.C., and Hart, B.S. 2001. A new technique for lithofacies prediction: back-propagation neural network. Proc., 39th Annual ACM-SE Conference, Athens, Georgia, 16-17 March.
    • (2001) Proc. 39th Annual ACM-SE Conference
    • Siripitayananon, P.1    Chen, H.C.2    Hart, B.S.3
  • 14
    • 22044453068 scopus 로고    scopus 로고
    • The application of artificial neural network technique in complex lithologic formation - An example of volcanic formation in Xinshan fault depression, Song Liao Basin
    • Tang, H. et al. 2001. The application of artificial neural network technique in complex lithologic formation - An example of volcanic formation in Xinshan fault depression, Song Liao Basin. Petroleum Science 6 (3): 64.
    • (2001) Petroleum Science , vol.6 , Issue.3 , pp. 64
    • Tang, H.1
  • 15
    • 33747836799 scopus 로고    scopus 로고
    • Comparison of Multivariate Statistical Algorithms for Wireline Log Facies Classification
    • Paper presented at the Dallas, 18-21 April
    • Tang, H. et al. 2004. Comparison of Multivariate Statistical Algorithms for Wireline Log Facies Classification. Paper presented at the AAPG Annual Meeting, Dallas, 18-21 April.
    • (2004) AAPG Annual Meeting
    • Tang, H.1
  • 16
    • 0028563208 scopus 로고
    • Quantifying Stuck Pipe Risk in Gulf of Mexico Oil and Gas Drilling
    • Paper SPE 28298 presented at the New Orleans, 25-28 September. DOI: 10.2118/28298-MS
    • Wisnie, A.P. and Zhu, Z. 1994. Quantifying Stuck Pipe Risk in Gulf of Mexico Oil and Gas Drilling. Paper SPE 28298 presented at the SPE Annual Technical Conference and Exhibition, New Orleans, 25-28 September. DOI: 10.2118/28298-MS.
    • (1994) SPE Annual Technical Conference and Exhibition
    • Wisnie, A.P.1    Zhu, Z.2
  • 17
    • 0028975490 scopus 로고
    • A critical comparison of neural networks and discriminant analysis in lithofacies, porosity and permeability predictions
    • Wong, P.M., Jian, F.X., and Taggart, I.J. 1995. A critical comparison of neural networks and discriminant analysis in lithofacies, porosity and permeability predictions. J. Petrol. Geol. 18 (2): 191.
    • (1995) J. Petrol. Geol. , vol.18 , Issue.2 , pp. 191
    • Wong, P.M.1    Jian, F.X.2    Taggart, I.J.3
  • 18
    • 22044458013 scopus 로고    scopus 로고
    • Prediction of distribution of volcanic reservoir in Xinshan area of Song Liao basin through integrated seismic and geologic study
    • Yang, F. et al. 2003. Prediction of distribution of volcanic reservoir in Xinshan area of Song Liao basin through integrated seismic and geologic study. Special Oil and Gas Reservoirs 10 (1): 96.
    • (2003) Special Oil and Gas Reservoirs , vol.10 , Issue.1 , pp. 96
    • Yang, F.1
  • 19
    • 0043138564 scopus 로고
    • Stochastic Modeling and Geostatistics Principles, Methods, and Case Studies
    • Yarus, J.M. and Chambers, R.L. 1994. Stochastic Modeling and Geostatistics Principles, Methods, and Case Studies. AAPG Computer Applications in Geology, No. 3: 77.
    • (1994) AAPG Computer Applications in Geology , Issue.3 , pp. 77
    • Yarus, J.M.1    Chambers, R.L.2


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