Prestack inversion and multiattribute analysis for porosity, shale volume, and sand probability in the Havert Formation of the Goliat field, southwest Barents Sea
An integrated innovative multidisciplinary approach has been used to estimate effective porosity (PHIE), shale volume (Vsh), and sand probability from prestack angle gathers and petrophysical well logs within the Lower Triassic Havert Formation in the Goliat field, Southwest Barents Sea. A rock-phys...
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Online Access: | http://hdl.handle.net/11250/2499364 https://doi.org/10.1190/INT-2016-0169.1 |
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ftngicom:oai:brage.bibsys.no:11250/2499364 2023-05-15T15:38:39+02:00 Prestack inversion and multiattribute analysis for porosity, shale volume, and sand probability in the Havert Formation of the Goliat field, southwest Barents Sea Yenwongfai, Honore Dzekamelive Mondol, Nazmul Haque Faleide, Jan Inge Lecomte, Isabelle Leutscher, Johan 2018-05-28T07:54:22Z http://hdl.handle.net/11250/2499364 https://doi.org/10.1190/INT-2016-0169.1 eng eng Norges forskningsråd: 223272 Interpretation. 2017, 5 (3), SL69-SL87. urn:issn:2324-8858 http://hdl.handle.net/11250/2499364 https://doi.org/10.1190/INT-2016-0169.1 cristin:1480354 SL69-SL87 5 Interpretation 3 Peer reviewed Journal article 2018 ftngicom https://doi.org/10.1190/INT-2016-0169.1 2018-09-20T09:19:49Z An integrated innovative multidisciplinary approach has been used to estimate effective porosity (PHIE), shale volume (Vsh), and sand probability from prestack angle gathers and petrophysical well logs within the Lower Triassic Havert Formation in the Goliat field, Southwest Barents Sea. A rock-physics feasibility study revealed the optimum petrofacies discriminating ability of extended elastic impedance (EEI) tuned for PHIE and Vsh. We then combined model-based prestack inversion outputs from a simultaneous inversion and an EEI inversion into a multilinear attribute regression analysis to estimate absolute Vsh and PHIE seismic attributes. The quality of the Vsh and PHIE prediction is shown to increase by integrating the EEI inversion in the workflow. Probability distribution functions and a priori petrofacies proportions extracted from the well data are then applied to the Vsh and PHIE volumes to obtain clean and shaly sand probabilities. A tectonic-controlled point-source depositional model for the Havert Formation sands is then inferred from the extracted sand bodies and the seismic geomorphological character of the different attributes acceptedVersion Article in Journal/Newspaper Barents Sea Unknown Barents Sea Interpretation 5 3 SL69 SL87 |
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Open Polar |
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Unknown |
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ftngicom |
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English |
description |
An integrated innovative multidisciplinary approach has been used to estimate effective porosity (PHIE), shale volume (Vsh), and sand probability from prestack angle gathers and petrophysical well logs within the Lower Triassic Havert Formation in the Goliat field, Southwest Barents Sea. A rock-physics feasibility study revealed the optimum petrofacies discriminating ability of extended elastic impedance (EEI) tuned for PHIE and Vsh. We then combined model-based prestack inversion outputs from a simultaneous inversion and an EEI inversion into a multilinear attribute regression analysis to estimate absolute Vsh and PHIE seismic attributes. The quality of the Vsh and PHIE prediction is shown to increase by integrating the EEI inversion in the workflow. Probability distribution functions and a priori petrofacies proportions extracted from the well data are then applied to the Vsh and PHIE volumes to obtain clean and shaly sand probabilities. A tectonic-controlled point-source depositional model for the Havert Formation sands is then inferred from the extracted sand bodies and the seismic geomorphological character of the different attributes acceptedVersion |
format |
Article in Journal/Newspaper |
author |
Yenwongfai, Honore Dzekamelive Mondol, Nazmul Haque Faleide, Jan Inge Lecomte, Isabelle Leutscher, Johan |
spellingShingle |
Yenwongfai, Honore Dzekamelive Mondol, Nazmul Haque Faleide, Jan Inge Lecomte, Isabelle Leutscher, Johan Prestack inversion and multiattribute analysis for porosity, shale volume, and sand probability in the Havert Formation of the Goliat field, southwest Barents Sea |
author_facet |
Yenwongfai, Honore Dzekamelive Mondol, Nazmul Haque Faleide, Jan Inge Lecomte, Isabelle Leutscher, Johan |
author_sort |
Yenwongfai, Honore Dzekamelive |
title |
Prestack inversion and multiattribute analysis for porosity, shale volume, and sand probability in the Havert Formation of the Goliat field, southwest Barents Sea |
title_short |
Prestack inversion and multiattribute analysis for porosity, shale volume, and sand probability in the Havert Formation of the Goliat field, southwest Barents Sea |
title_full |
Prestack inversion and multiattribute analysis for porosity, shale volume, and sand probability in the Havert Formation of the Goliat field, southwest Barents Sea |
title_fullStr |
Prestack inversion and multiattribute analysis for porosity, shale volume, and sand probability in the Havert Formation of the Goliat field, southwest Barents Sea |
title_full_unstemmed |
Prestack inversion and multiattribute analysis for porosity, shale volume, and sand probability in the Havert Formation of the Goliat field, southwest Barents Sea |
title_sort |
prestack inversion and multiattribute analysis for porosity, shale volume, and sand probability in the havert formation of the goliat field, southwest barents sea |
publishDate |
2018 |
url |
http://hdl.handle.net/11250/2499364 https://doi.org/10.1190/INT-2016-0169.1 |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_source |
SL69-SL87 5 Interpretation 3 |
op_relation |
Norges forskningsråd: 223272 Interpretation. 2017, 5 (3), SL69-SL87. urn:issn:2324-8858 http://hdl.handle.net/11250/2499364 https://doi.org/10.1190/INT-2016-0169.1 cristin:1480354 |
op_doi |
https://doi.org/10.1190/INT-2016-0169.1 |
container_title |
Interpretation |
container_volume |
5 |
container_issue |
3 |
container_start_page |
SL69 |
op_container_end_page |
SL87 |
_version_ |
1766369833770811392 |