Seismic Impedance Inversion with Petrophysical Constraints via the Fuzzy Cluster Method

Seismic impedance inversion produces results that should be better for geological interpretation. However, seismic impedance inversion in mineral exploration normally suffers from poor signal-to-noise, and a lack of well control normally assumed for the process. To counter these problems we have dev...

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Main Authors: Kieu, D., Kepic, Anton
Format: Conference Paper
Published: Australian Society of Exploration Geophysicists 2015
Online Access:http://hdl.handle.net/20.500.11937/8970
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author Kieu, D.
Kepic, Anton
author_facet Kieu, D.
Kepic, Anton
author_sort Kieu, D.
building Curtin Institutional Repository
collection Online Access
description Seismic impedance inversion produces results that should be better for geological interpretation. However, seismic impedance inversion in mineral exploration normally suffers from poor signal-to-noise, and a lack of well control normally assumed for the process. To counter these problems we have developed an approach that exploits the fact that the geology in these environments often has fewer distinct geological units so we can restrict the number of physical parameters possible. A model-based seismic impedance inversion method using fuzzy c-means clustering to constrain inversion with petrophysical information has been developed. Using synthetic examples, we show that our method effectively recovers the true model even when the data is strongly contaminated by noise. This method is applied to seismic data from a US gold mining district and the results are reasonably consistent with well log data. The impedance images provide a better basis for geological interpretation than reflection images alone.
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format Conference Paper
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institution Curtin University Malaysia
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publishDate 2015
publisher Australian Society of Exploration Geophysicists
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spelling curtin-20.500.11937-89702018-12-14T00:47:30Z Seismic Impedance Inversion with Petrophysical Constraints via the Fuzzy Cluster Method Kieu, D. Kepic, Anton Seismic impedance inversion produces results that should be better for geological interpretation. However, seismic impedance inversion in mineral exploration normally suffers from poor signal-to-noise, and a lack of well control normally assumed for the process. To counter these problems we have developed an approach that exploits the fact that the geology in these environments often has fewer distinct geological units so we can restrict the number of physical parameters possible. A model-based seismic impedance inversion method using fuzzy c-means clustering to constrain inversion with petrophysical information has been developed. Using synthetic examples, we show that our method effectively recovers the true model even when the data is strongly contaminated by noise. This method is applied to seismic data from a US gold mining district and the results are reasonably consistent with well log data. The impedance images provide a better basis for geological interpretation than reflection images alone. 2015 Conference Paper http://hdl.handle.net/20.500.11937/8970 10.1071/ASEG2015ab109 Australian Society of Exploration Geophysicists restricted
spellingShingle Kieu, D.
Kepic, Anton
Seismic Impedance Inversion with Petrophysical Constraints via the Fuzzy Cluster Method
title Seismic Impedance Inversion with Petrophysical Constraints via the Fuzzy Cluster Method
title_full Seismic Impedance Inversion with Petrophysical Constraints via the Fuzzy Cluster Method
title_fullStr Seismic Impedance Inversion with Petrophysical Constraints via the Fuzzy Cluster Method
title_full_unstemmed Seismic Impedance Inversion with Petrophysical Constraints via the Fuzzy Cluster Method
title_short Seismic Impedance Inversion with Petrophysical Constraints via the Fuzzy Cluster Method
title_sort seismic impedance inversion with petrophysical constraints via the fuzzy cluster method
url http://hdl.handle.net/20.500.11937/8970