Seismic Forward Modeling of Deltaic Sequences

The seismic forward modeling is a useful tool to predict the seismic response from a knowngeological model. A seismic forward modeling process contains two main steps, a modelbuilding step and a seismic forward realization part. The geological model may be builtfrom scratch or an interpretation of s...

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Main Author: Sæther, Ole-Peter
Other Authors: Johansen, Ståle Emil, Norges teknisk-naturvitenskapelige universitet, Fakultet for ingeniørvitenskap og teknologi, Institutt for petroleumsteknologi og anvendt geofysikk
Format: Master Thesis
Language:English
Published: Institutt for petroleumsteknologi og anvendt geofysikk 2013
Subjects:
Online Access:http://hdl.handle.net/11250/240102
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spelling ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/240102 2023-05-15T18:29:53+02:00 Seismic Forward Modeling of Deltaic Sequences Sæther, Ole-Peter Johansen, Ståle Emil Norges teknisk-naturvitenskapelige universitet, Fakultet for ingeniørvitenskap og teknologi, Institutt for petroleumsteknologi og anvendt geofysikk 2013 http://hdl.handle.net/11250/240102 eng eng Institutt for petroleumsteknologi og anvendt geofysikk 648681 ntnudaim:9444 http://hdl.handle.net/11250/240102 86 Master thesis 2013 ftntnutrondheimi 2019-09-17T06:48:53Z The seismic forward modeling is a useful tool to predict the seismic response from a knowngeological model. A seismic forward modeling process contains two main steps, a modelbuilding step and a seismic forward realization part. The geological model may be builtfrom scratch or an interpretation of some real seismic might be used as an input to theforward seismic realization algorithm.In this work both the steps in a seismic forward modeling process are done. The firststep is to build the geological model, which is based on an outcrop study from Storvola.Storvola is located alongside Van Keulenfjorden in the Central Basin on Svalbard. Thesediments are from late Paleocene and Eocene time and are deposited from west to east.The Deltaic section exposed at Storvola has been buried and undergone high pressure,deformation and faulting. The purpose of this study was to reverse this deformation byflattening the model so it represents a newly deposited delta.An outcrop study has been performed by Johansen et al. (2007) in this area, where theexposed layers have been mapped and the properties have been measured. The mappedgeology was digitized by using the software Petrel. The model building was based onthe digitized data which the property models could be built out of. The three propertymodels were the P-velocity, S-velocity and density. These properties were exported to theECLIPSE file format which again was converted to the RSF format.The second step in the seismic forward modeling process is the seismic realization.The open source software Madagascar is used to simulate a seismic survey, which predictsthe responses from the subsurface by solving the center finite difference discretization ofthe elastodynamic equations. These equations use the property models as input. As asource a Ricker wavelet with a maximum spectre frequency of 100 Hz was used.The resulting synthetic seismic gets re-sampled to reduce the amount of data and tospeed up the processing, but carefully to not remove important data. Unwanted signalsare removed or muted from the re-sampled data like the direct arrival. Common midpointgathers are generated to simplify the generation of pictures of the subsurface before thedata becomes migrated. The migration algorithm used is the 2-D prestack Kirchhoff timemigration, which moves the reflectors to their correct position.The migrated data is interpreted and compared to the original geological model. Almostall the thick layers with a high velocity contrast could be recognized, but some visualization problems were detected in areas with many thin layers. Master Thesis Svalbard Van Keulenfjorden NTNU Open Archive (Norwegian University of Science and Technology) Svalbard Johansen ENVELOPE(67.217,67.217,-70.544,-70.544) Van Keulenfjorden ENVELOPE(15.489,15.489,77.559,77.559) Storvola ENVELOPE(16.200,16.200,77.529,77.529) Central Basin ENVELOPE(43.000,43.000,73.500,73.500)
institution Open Polar
collection NTNU Open Archive (Norwegian University of Science and Technology)
op_collection_id ftntnutrondheimi
language English
description The seismic forward modeling is a useful tool to predict the seismic response from a knowngeological model. A seismic forward modeling process contains two main steps, a modelbuilding step and a seismic forward realization part. The geological model may be builtfrom scratch or an interpretation of some real seismic might be used as an input to theforward seismic realization algorithm.In this work both the steps in a seismic forward modeling process are done. The firststep is to build the geological model, which is based on an outcrop study from Storvola.Storvola is located alongside Van Keulenfjorden in the Central Basin on Svalbard. Thesediments are from late Paleocene and Eocene time and are deposited from west to east.The Deltaic section exposed at Storvola has been buried and undergone high pressure,deformation and faulting. The purpose of this study was to reverse this deformation byflattening the model so it represents a newly deposited delta.An outcrop study has been performed by Johansen et al. (2007) in this area, where theexposed layers have been mapped and the properties have been measured. The mappedgeology was digitized by using the software Petrel. The model building was based onthe digitized data which the property models could be built out of. The three propertymodels were the P-velocity, S-velocity and density. These properties were exported to theECLIPSE file format which again was converted to the RSF format.The second step in the seismic forward modeling process is the seismic realization.The open source software Madagascar is used to simulate a seismic survey, which predictsthe responses from the subsurface by solving the center finite difference discretization ofthe elastodynamic equations. These equations use the property models as input. As asource a Ricker wavelet with a maximum spectre frequency of 100 Hz was used.The resulting synthetic seismic gets re-sampled to reduce the amount of data and tospeed up the processing, but carefully to not remove important data. Unwanted signalsare removed or muted from the re-sampled data like the direct arrival. Common midpointgathers are generated to simplify the generation of pictures of the subsurface before thedata becomes migrated. The migration algorithm used is the 2-D prestack Kirchhoff timemigration, which moves the reflectors to their correct position.The migrated data is interpreted and compared to the original geological model. Almostall the thick layers with a high velocity contrast could be recognized, but some visualization problems were detected in areas with many thin layers.
author2 Johansen, Ståle Emil
Norges teknisk-naturvitenskapelige universitet, Fakultet for ingeniørvitenskap og teknologi, Institutt for petroleumsteknologi og anvendt geofysikk
format Master Thesis
author Sæther, Ole-Peter
spellingShingle Sæther, Ole-Peter
Seismic Forward Modeling of Deltaic Sequences
author_facet Sæther, Ole-Peter
author_sort Sæther, Ole-Peter
title Seismic Forward Modeling of Deltaic Sequences
title_short Seismic Forward Modeling of Deltaic Sequences
title_full Seismic Forward Modeling of Deltaic Sequences
title_fullStr Seismic Forward Modeling of Deltaic Sequences
title_full_unstemmed Seismic Forward Modeling of Deltaic Sequences
title_sort seismic forward modeling of deltaic sequences
publisher Institutt for petroleumsteknologi og anvendt geofysikk
publishDate 2013
url http://hdl.handle.net/11250/240102
long_lat ENVELOPE(67.217,67.217,-70.544,-70.544)
ENVELOPE(15.489,15.489,77.559,77.559)
ENVELOPE(16.200,16.200,77.529,77.529)
ENVELOPE(43.000,43.000,73.500,73.500)
geographic Svalbard
Johansen
Van Keulenfjorden
Storvola
Central Basin
geographic_facet Svalbard
Johansen
Van Keulenfjorden
Storvola
Central Basin
genre Svalbard
Van Keulenfjorden
genre_facet Svalbard
Van Keulenfjorden
op_source 86
op_relation 648681
ntnudaim:9444
http://hdl.handle.net/11250/240102
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