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Elastic dislocation modelling for prediction of small-scale fault and fracture network characteristics

S. J. Dee, G. Yielding, B. Freeman, D. Healy, N. J. Kusznir, N. Grant and P. Ellis
Geological Society, London, Special Publications, 270, 139-155, 1 January 2007, https://doi.org/10.1144/GSL.SP.2007.270.01.10
S. J. Dee
1Badley Geoscience LtdNorth Beck House, North Beck Lane, Hundleby, Spilsby, Lincolnshire PE23 5NB, UK (e-mail: )
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  • For correspondence: stephen@badleys.co.uk
G. Yielding
1Badley Geoscience LtdNorth Beck House, North Beck Lane, Hundleby, Spilsby, Lincolnshire PE23 5NB, UK (e-mail: )
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  • For correspondence: stephen@badleys.co.uk
B. Freeman
1Badley Geoscience LtdNorth Beck House, North Beck Lane, Hundleby, Spilsby, Lincolnshire PE23 5NB, UK (e-mail: )
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  • For correspondence: stephen@badleys.co.uk
D. Healy
2Department of Earth and Ocean Sciences, University of LiverpoolLiverpool L69 3GP, UK
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N. J. Kusznir
2Department of Earth and Ocean Sciences, University of LiverpoolLiverpool L69 3GP, UK
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N. Grant
3ConocoPhillips (UK) LtdRubislaw House, North Anderson Drive, Aberdeen AB15 6FZ, UK
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P. Ellis
4BG Norge LimitedLøkkeveien 103b, 4007 Stavanger, Norway
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Abstract

Predicting the effects of small-scale faults and fractures on reservoir behaviour requires a definition of their spatial distribution, orientation and mode. Elastic dislocation (ED) theory can predict the distribution of displacement, strain and stress in the rock volume surrounding major faults, from mapping of fault geometry and slip distribution in 3D seismic-reflection datasets. The intensity of small-scale faulting can be related to the predicted local strain, or the degree to which the shear stresses exceeded the rock failure envelope. We illustrate the methodology with three case studies: (i) a relatively-simple thrust anticline from Venezuela, where hydrocarbons are trapped in Pliocene sandstones within the faulted hanging wall anticline; (ii) the Gull-faks Field and of the North Sea; and (iii) the Miskar Field, offshore Tunisia, where large seismically mapped normal faults are forward-modelled to predict small-scale fault characteristics for comparison with detailed interpretation and seismic attribute analysis. Key requirements for the development of a robust predictive model of the small-scale fault and fracture network are a geometrically consistent framework model, judicious choice of mechanical properties, and a reasonable estimate of regional background strain.

  • © The Geological Society of London 2007

Abstract

Predicting the effects of small-scale faults and fractures on reservoir behaviour requires a definition of their spatial distribution, orientation and mode. Elastic dislocation (ED) theory can predict the distribution of displacement, strain and stress in the rock volume surrounding major faults, from mapping of fault geometry and slip distribution in 3D seismic-reflection datasets. The intensity of small-scale faulting can be related to the predicted local strain, or the degree to which the shear stresses exceeded the rock failure envelope. We illustrate the methodology with three case studies: (i) a relatively-simple thrust anticline from Venezuela, where hydrocarbons are trapped in Pliocene sandstones within the faulted hanging wall anticline; (ii) the Gull-faks Field and of the North Sea; and (iii) the Miskar Field, offshore Tunisia, where large seismically mapped normal faults are forward-modelled to predict small-scale fault characteristics for comparison with detailed interpretation and seismic attribute analysis. Key requirements for the development of a robust predictive model of the small-scale fault and fracture network are a geometrically consistent framework model, judicious choice of mechanical properties, and a reasonable estimate of regional background strain.

  • © The Geological Society of London 2007

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Geological Society, London, Special Publications: 270 (1)
Geological Society, London, Special Publications
Volume 270
2007
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Elastic dislocation modelling for prediction of small-scale fault and fracture network characteristics

S. J. Dee, G. Yielding, B. Freeman, D. Healy, N. J. Kusznir, N. Grant and P. Ellis
Geological Society, London, Special Publications, 270, 139-155, 1 January 2007, https://doi.org/10.1144/GSL.SP.2007.270.01.10
S. J. Dee
1Badley Geoscience LtdNorth Beck House, North Beck Lane, Hundleby, Spilsby, Lincolnshire PE23 5NB, UK (e-mail: )
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: stephen@badleys.co.uk
G. Yielding
1Badley Geoscience LtdNorth Beck House, North Beck Lane, Hundleby, Spilsby, Lincolnshire PE23 5NB, UK (e-mail: )
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: stephen@badleys.co.uk
B. Freeman
1Badley Geoscience LtdNorth Beck House, North Beck Lane, Hundleby, Spilsby, Lincolnshire PE23 5NB, UK (e-mail: )
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: stephen@badleys.co.uk
D. Healy
2Department of Earth and Ocean Sciences, University of LiverpoolLiverpool L69 3GP, UK
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N. J. Kusznir
2Department of Earth and Ocean Sciences, University of LiverpoolLiverpool L69 3GP, UK
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N. Grant
3ConocoPhillips (UK) LtdRubislaw House, North Anderson Drive, Aberdeen AB15 6FZ, UK
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P. Ellis
4BG Norge LimitedLøkkeveien 103b, 4007 Stavanger, Norway
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Elastic dislocation modelling for prediction of small-scale fault and fracture network characteristics

S. J. Dee, G. Yielding, B. Freeman, D. Healy, N. J. Kusznir, N. Grant and P. Ellis
Geological Society, London, Special Publications, 270, 139-155, 1 January 2007, https://doi.org/10.1144/GSL.SP.2007.270.01.10
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