Geostatistical simulation of fracture networks

R. Mohan Srivastava; Peter Frykman; Mark Jensen

doi:10.1007/978-1-4020-3610-1_30

Geostatistical simulation of fracture networks

R. Mohan Srivastava, Peter Frykman, Mark Jensen

Department of Geo-energy and Storage

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › peer-review

Abstract

A geostatistical method has been developed by Ontario Power Generation to enable creation of 3D fracture network models (FNMs) that explicitly honor detailed information on surface lineaments. This approach provides a systematic and traceable method that is flexible and that accommodates data from many different sources. The detailed, complex and realistic models of 3D fracture geometry produced by this method serve as an ideal basis for developing rock property models to be used in flow and transport studies. These models are probabilistic in the sense that they consist of a family of equally likely renditions of fracture geometry. Such probabilistic models are well suited to studying issues that involve risk assessment and quantification of uncertainty.

The geostatistical procedure for simulating FNMs is described, and tested using field data collected from the Lägerdorf chalk quarry in northern Germany.

Original language	English
Title of host publication	Geostatistics Banff 2004
Editors	Oy Leuangthong, Clayton V. Deutsch
Place of Publication	Dordrecht, The Netherlands
Publisher	Springer
Pages	295-304
Number of pages	10
ISBN (Electronic)	978-1-4020-3610-1
ISBN (Print)	978-1-4020-3515-9
DOIs	https://doi.org/10.1007/978-1-4020-3610-1_30
Publication status	Published - 2006
Event	7th International Geostatistics Congress - Banff, Alberta, Canada Duration: 26 Sept 2004 → 1 Oct 2004

Publication series

Name	Quantitative Geology and Geostatistics
Publisher	Kluwer Academic Publishers
Volume	14
ISSN (Print)	0924-1973
ISSN (Electronic)	2215-1834

Conference

Conference	7th International Geostatistics Congress
City	Banff, Alberta, Canada
Period	26/09/04 → 1/10/04

Programme Area

Programme Area 3: Energy Resources

Access to Document

10.1007/978-1-4020-3610-1_30

Cite this

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title = "Geostatistical simulation of fracture networks",

abstract = "A geostatistical method has been developed by Ontario Power Generation to enable creation of 3D fracture network models (FNMs) that explicitly honor detailed information on surface lineaments. This approach provides a systematic and traceable method that is flexible and that accommodates data from many different sources. The detailed, complex and realistic models of 3D fracture geometry produced by this method serve as an ideal basis for developing rock property models to be used in flow and transport studies. These models are probabilistic in the sense that they consist of a family of equally likely renditions of fracture geometry. Such probabilistic models are well suited to studying issues that involve risk assessment and quantification of uncertainty.The geostatistical procedure for simulating FNMs is described, and tested using field data collected from the L{\"a}gerdorf chalk quarry in northern Germany.",

author = "Srivastava, {R. Mohan} and Peter Frykman and Mark Jensen",

year = "2006",

doi = "10.1007/978-1-4020-3610-1_30",

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isbn = "978-1-4020-3515-9",

series = "Quantitative Geology and Geostatistics",

publisher = "Springer",

pages = "295--304",

editor = "Oy Leuangthong and Deutsch, {Clayton V.}",

booktitle = "Geostatistics Banff 2004",

address = "China",

note = "7th International Geostatistics Congress ; Conference date: 26-09-2004 Through 01-10-2004",

}

Srivastava, RM, Frykman, P & Jensen, M 2006, Geostatistical simulation of fracture networks. in O Leuangthong & CV Deutsch (eds), Geostatistics Banff 2004. Quantitative Geology and Geostatistics, vol. 14, Springer, Dordrecht, The Netherlands, pp. 295-304, 7th International Geostatistics Congress, Banff, Alberta, Canada, 26/09/04. https://doi.org/10.1007/978-1-4020-3610-1_30

Geostatistical simulation of fracture networks. / Srivastava, R. Mohan; Frykman, Peter; Jensen, Mark.
Geostatistics Banff 2004. ed. / Oy Leuangthong; Clayton V. Deutsch. Dordrecht, The Netherlands: Springer, 2006. p. 295-304 (Quantitative Geology and Geostatistics; Vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › peer-review

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T1 - Geostatistical simulation of fracture networks

AU - Srivastava, R. Mohan

AU - Frykman, Peter

AU - Jensen, Mark

PY - 2006

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N2 - A geostatistical method has been developed by Ontario Power Generation to enable creation of 3D fracture network models (FNMs) that explicitly honor detailed information on surface lineaments. This approach provides a systematic and traceable method that is flexible and that accommodates data from many different sources. The detailed, complex and realistic models of 3D fracture geometry produced by this method serve as an ideal basis for developing rock property models to be used in flow and transport studies. These models are probabilistic in the sense that they consist of a family of equally likely renditions of fracture geometry. Such probabilistic models are well suited to studying issues that involve risk assessment and quantification of uncertainty.The geostatistical procedure for simulating FNMs is described, and tested using field data collected from the Lägerdorf chalk quarry in northern Germany.

AB - A geostatistical method has been developed by Ontario Power Generation to enable creation of 3D fracture network models (FNMs) that explicitly honor detailed information on surface lineaments. This approach provides a systematic and traceable method that is flexible and that accommodates data from many different sources. The detailed, complex and realistic models of 3D fracture geometry produced by this method serve as an ideal basis for developing rock property models to be used in flow and transport studies. These models are probabilistic in the sense that they consist of a family of equally likely renditions of fracture geometry. Such probabilistic models are well suited to studying issues that involve risk assessment and quantification of uncertainty.The geostatistical procedure for simulating FNMs is described, and tested using field data collected from the Lägerdorf chalk quarry in northern Germany.

U2 - 10.1007/978-1-4020-3610-1_30

DO - 10.1007/978-1-4020-3610-1_30

M3 - Conference article in proceedings

SN - 978-1-4020-3515-9

T3 - Quantitative Geology and Geostatistics

SP - 295

EP - 304

BT - Geostatistics Banff 2004

A2 - Leuangthong, Oy

A2 - Deutsch, Clayton V.

PB - Springer

CY - Dordrecht, The Netherlands

T2 - 7th International Geostatistics Congress

Y2 - 26 September 2004 through 1 October 2004

ER -

Geostatistical simulation of fracture networks

Abstract

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