Marked point processes for enhancing seismic fault patterns

Keresztes Barna, T. Szirányi, Monica Borda, Olivier Lavialle

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper we present a new method for fault extraction in seismic blocks, using marked point processes. Our goal is to increase the detection accuracy of the state of the art fault attributes by computing them on a system of objects based on an a priori knowledge about the faults.An original curved support has been developed to describe the faults in vertical sections of the seismic blocks. The results are compared with the previous models used for linear network extraction, such as the Candy model. Synthetic blocks were used to compare the results obtained thanks to the point processes with the classical attributes.To segment the whole blocks, a multi-2D approach was used. Several modifications of the algorithm were necessary in order to make the results easier to interpret for geologists.One interest of the high-level approach offered by the marked point processes is the possibility of using the objects as a common support for various fault detection operators. A whole detection framework can be proposed which acts like a decision fusion process.

Original languageEnglish
Pages (from-to)115-123
Number of pages9
JournalJournal of Applied Geophysics
Volume118
DOIs
Publication statusPublished - Jul 1 2015

Fingerprint

fault detection
fusion
operators
detection
attribute

Keywords

  • Marked point processes
  • Operator fusion
  • Seismic fault detection

ASJC Scopus subject areas

  • Geophysics

Cite this

Marked point processes for enhancing seismic fault patterns. / Barna, Keresztes; Szirányi, T.; Borda, Monica; Lavialle, Olivier.

In: Journal of Applied Geophysics, Vol. 118, 01.07.2015, p. 115-123.

Research output: Contribution to journalArticle

Barna, Keresztes ; Szirányi, T. ; Borda, Monica ; Lavialle, Olivier. / Marked point processes for enhancing seismic fault patterns. In: Journal of Applied Geophysics. 2015 ; Vol. 118. pp. 115-123.
@article{4a9a2c5032f142e6affad4cfeadad66d,
title = "Marked point processes for enhancing seismic fault patterns",
abstract = "In this paper we present a new method for fault extraction in seismic blocks, using marked point processes. Our goal is to increase the detection accuracy of the state of the art fault attributes by computing them on a system of objects based on an a priori knowledge about the faults.An original curved support has been developed to describe the faults in vertical sections of the seismic blocks. The results are compared with the previous models used for linear network extraction, such as the Candy model. Synthetic blocks were used to compare the results obtained thanks to the point processes with the classical attributes.To segment the whole blocks, a multi-2D approach was used. Several modifications of the algorithm were necessary in order to make the results easier to interpret for geologists.One interest of the high-level approach offered by the marked point processes is the possibility of using the objects as a common support for various fault detection operators. A whole detection framework can be proposed which acts like a decision fusion process.",
keywords = "Marked point processes, Operator fusion, Seismic fault detection",
author = "Keresztes Barna and T. Szir{\'a}nyi and Monica Borda and Olivier Lavialle",
year = "2015",
month = "7",
day = "1",
doi = "10.1016/j.jappgeo.2015.04.009",
language = "English",
volume = "118",
pages = "115--123",
journal = "Journal of Applied Geophysics",
issn = "0926-9851",
publisher = "Elsevier",

}

TY - JOUR

T1 - Marked point processes for enhancing seismic fault patterns

AU - Barna, Keresztes

AU - Szirányi, T.

AU - Borda, Monica

AU - Lavialle, Olivier

PY - 2015/7/1

Y1 - 2015/7/1

N2 - In this paper we present a new method for fault extraction in seismic blocks, using marked point processes. Our goal is to increase the detection accuracy of the state of the art fault attributes by computing them on a system of objects based on an a priori knowledge about the faults.An original curved support has been developed to describe the faults in vertical sections of the seismic blocks. The results are compared with the previous models used for linear network extraction, such as the Candy model. Synthetic blocks were used to compare the results obtained thanks to the point processes with the classical attributes.To segment the whole blocks, a multi-2D approach was used. Several modifications of the algorithm were necessary in order to make the results easier to interpret for geologists.One interest of the high-level approach offered by the marked point processes is the possibility of using the objects as a common support for various fault detection operators. A whole detection framework can be proposed which acts like a decision fusion process.

AB - In this paper we present a new method for fault extraction in seismic blocks, using marked point processes. Our goal is to increase the detection accuracy of the state of the art fault attributes by computing them on a system of objects based on an a priori knowledge about the faults.An original curved support has been developed to describe the faults in vertical sections of the seismic blocks. The results are compared with the previous models used for linear network extraction, such as the Candy model. Synthetic blocks were used to compare the results obtained thanks to the point processes with the classical attributes.To segment the whole blocks, a multi-2D approach was used. Several modifications of the algorithm were necessary in order to make the results easier to interpret for geologists.One interest of the high-level approach offered by the marked point processes is the possibility of using the objects as a common support for various fault detection operators. A whole detection framework can be proposed which acts like a decision fusion process.

KW - Marked point processes

KW - Operator fusion

KW - Seismic fault detection

UR - http://www.scopus.com/inward/record.url?scp=84928580779&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84928580779&partnerID=8YFLogxK

U2 - 10.1016/j.jappgeo.2015.04.009

DO - 10.1016/j.jappgeo.2015.04.009

M3 - Article

AN - SCOPUS:84928580779

VL - 118

SP - 115

EP - 123

JO - Journal of Applied Geophysics

JF - Journal of Applied Geophysics

SN - 0926-9851

ER -