Vertical Seismic Profile

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Boris Gurevich - One of the best experts on this subject based on the ideXlab platform.

  • elastic full waveform inversion of Vertical Seismic Profile data acquired with distributed acoustic sensors
    Geophysics, 2018
    Co-Authors: Anton Egorov, Roman Pevzner, Andrej Bona, Stanislav Glubokovskikh, Vladimir Puzyrev, Konstantin Tertyshnikov, Julia Correa, Boris Gurevich
    Abstract:

    Distributed acoustic sensing (DAS) is a rapidly developing technology particularly useful for the acquisition of Vertical Seismic Profile (VSP) surveys. DAS data are increasingly used for Seismic imaging, but not for estimating rock properties. We propose a workflow for estimating elastic properties of the subsurface using full waveform inversion (FWI) of DAS VSP data. Whereas conventional borehole geophones usually measure three components of particle velocity, DAS measures a single quantity, which is an approximation of the strain or strain rate along the fiber. Standard FWI algorithms are developed for particle velocity data, and hence their application to DAS data requires conversion of these data to particle velocity along the fiber. This conversion can be accomplished by a specially designed filter. Field measurements show that the conversion result is close to Vertical particle velocity as measured by geophones. Elastic time-domain FWI of a synthetic multi-offset VSP dataset for a Vertical well sho...

  • time lapse full waveform inversion of Vertical Seismic Profile data workflow and application to the co2crc otway project
    Geophysical Research Letters, 2017
    Co-Authors: Boris Gurevich, Roman Pevzner, Anton Egorov, Andrej Bona, Stanislav Glubokovskikh, Vladimir Puzyrev, Konstantin Tertyshnikov
    Abstract:

    Vertical Seismic Profile (VSP) is one of the technologies for monitoring hydrocarbon production and CO2 geosequestration. However quantitative interpretation of time-lapse VSP is challenging due to its irregular distribution of source-receiver offsets. One way to overcome this challenge is to use full waveform inversion (FWI), which does not require regular offsets. We present a workflow of elastic FWI applied to offset Vertical Seismic Profile data for the purpose of identification and estimation of time-lapse changes introduced by injection of 15,000 tonnes of CO2-rich gas mixture at 1.5 km depth. Application of this workflow to both synthetic and field data shows that elastic FWI is able to detect and quantify the time-lapse anomaly in P wave velocity with the magnitude of 100-150 m/s.

  • Time‐lapse full waveform inversion of Vertical Seismic Profile data: Workflow and application to the CO2CRC Otway project
    Geophysical Research Letters, 2017
    Co-Authors: Anton Egorov, Roman Pevzner, Andrej Bona, Stanislav Glubokovskikh, Vladimir Puzyrev, Konstantin Tertyshnikov, Boris Gurevich
    Abstract:

    Vertical Seismic Profile (VSP) is one of the technologies for monitoring hydrocarbon production and CO2 geosequestration. However quantitative interpretation of time-lapse VSP is challenging due to its irregular distribution of source-receiver offsets. One way to overcome this challenge is to use full waveform inversion (FWI), which does not require regular offsets. We present a workflow of elastic FWI applied to offset Vertical Seismic Profile data for the purpose of identification and estimation of time-lapse changes introduced by injection of 15,000 tonnes of CO2-rich gas mixture at 1.5 km depth. Application of this workflow to both synthetic and field data shows that elastic FWI is able to detect and quantify the time-lapse anomaly in P wave velocity with the magnitude of 100-150 m/s.

  • estimating azimuthal stress induced p wave anisotropy from s wave anisotropy using sonic log or Vertical Seismic Profile data
    Geophysical Prospecting, 2016
    Co-Authors: Olivia Collet, Boris Gurevich, Guy Duncan
    Abstract:

    Most sedimentary rocks are anisotropic, yet it is often difficult to accurately incorporate anisotropy into Seismic workflows because analysis of anisotropy requires knowledge of a number of parameters that are difficult to estimate from standard Seismic data. In this study, we provide a methodology to infer azimuthal P-wave anisotropy from S-wave anisotropy calculated from log or Vertical Seismic Profile data. This methodology involves a number of steps. First, we compute the azimuthal P-wave anisotropy in the dry medium as a function of the azimuthal S-wave anisotropy using a rock physics model, which accounts for the stress dependency of Seismic wave velocities in dry isotropic elastic media subjected to triaxial compression. Once the P-wave anisotropy in the dry medium is known, we use the anisotropic Gassmann equations to estimate the anisotropy of the saturated medium. We test this workflow on the log data acquired in the North West Shelf of Australia, where azimuthal anisotropy is likely caused by large differences between minimum and maximum horizontal stresses. The obtained results are compared to azimuthal P-wave anisotropy obtained via orthorhombic tomography in the same area. In the clean sandstone layers, anisotropy parameters obtained by both methods are fairly consistent. In the shale and shaly sandstone layers, however, there is a significant discrepancy between results since the stress-induced anisotropy model we use is not applicable to rocks exhibiting intrinsic anisotropy. This methodology could be useful for building the initial anisotropic velocity model for imaging, which is to be refined through migration velocity analysis.

  • case history using time lapse Vertical Seismic profiling data to constrain velocity saturation relations the frio brine pilot co2 injection
    Geophysical Prospecting, 2016
    Co-Authors: Thomas M Daley, Boris Gurevich, Mohammed Al Hosni, Eva Caspari, Roman Pevzner
    Abstract:

    Author(s): Al Hosni, M; Caspari, E; Pevzner, R; Daley, TM; Gurevich, B | Abstract: © 2016 European Association of Geoscientists a Engineers CO2 sequestration projects benefit from quantitative assessment of saturation distribution and plume extent for field development and leakage prevention. In this work, we carry out quantitative analysis of time-lapse Seismic by using rock physics and Seismic modelling tools. We investigate the suitability of Gassmann's equation for a CO2 sequestration project with 1600 tons of CO2 injected into high-porosity, brine-saturated sandstone. We analyze the observed time delays and amplitude changes in a time-lapse Vertical Seismic Profile dataset. Both reflected and transmitted waves are analyzed qualitatively and quantitatively. To interpret the changes obtained from the Vertical Seismic Profile, we perform a 2.5D elastic, finite-difference modelling study. The results show a P-wave velocity reduction of 750 m/s in the proximity of the injection well evident by the first arrivals (travel-time delays and amplitude change) and reflected wave amplitude changes. These results do not match with our rock physics model using Gassmann's equation predictions even when taking uncertainty in CO2 saturation and grain properties into account. We find that time-lapse Vertical Seismic Profile data integrated with other information (e.g., core and well log) can be used to constrain the velocity–saturation relation and verify the applicability of theoretical models such as Gassmann's equation with considerable certainty. The study shows that possible nonelastic factors are in play after CO2 injection (e.g., CO2–brine–rock interaction and pressure effect) as Gassmann's equation underestimated the velocity reduction in comparison with field data for all three sets of time-lapse Vertical Seismic Profile attributes. Our work shows the importance of data integration to validate the applicability of theoretical models such as Gassmann's equation for quantitative analysis of time-lapse Seismic data.

Anton Egorov - One of the best experts on this subject based on the ideXlab platform.

  • elastic full waveform inversion of Vertical Seismic Profile data acquired with distributed acoustic sensors
    Geophysics, 2018
    Co-Authors: Anton Egorov, Roman Pevzner, Andrej Bona, Stanislav Glubokovskikh, Vladimir Puzyrev, Konstantin Tertyshnikov, Julia Correa, Boris Gurevich
    Abstract:

    Distributed acoustic sensing (DAS) is a rapidly developing technology particularly useful for the acquisition of Vertical Seismic Profile (VSP) surveys. DAS data are increasingly used for Seismic imaging, but not for estimating rock properties. We propose a workflow for estimating elastic properties of the subsurface using full waveform inversion (FWI) of DAS VSP data. Whereas conventional borehole geophones usually measure three components of particle velocity, DAS measures a single quantity, which is an approximation of the strain or strain rate along the fiber. Standard FWI algorithms are developed for particle velocity data, and hence their application to DAS data requires conversion of these data to particle velocity along the fiber. This conversion can be accomplished by a specially designed filter. Field measurements show that the conversion result is close to Vertical particle velocity as measured by geophones. Elastic time-domain FWI of a synthetic multi-offset VSP dataset for a Vertical well sho...

  • time lapse full waveform inversion of Vertical Seismic Profile data workflow and application to the co2crc otway project
    Geophysical Research Letters, 2017
    Co-Authors: Boris Gurevich, Roman Pevzner, Anton Egorov, Andrej Bona, Stanislav Glubokovskikh, Vladimir Puzyrev, Konstantin Tertyshnikov
    Abstract:

    Vertical Seismic Profile (VSP) is one of the technologies for monitoring hydrocarbon production and CO2 geosequestration. However quantitative interpretation of time-lapse VSP is challenging due to its irregular distribution of source-receiver offsets. One way to overcome this challenge is to use full waveform inversion (FWI), which does not require regular offsets. We present a workflow of elastic FWI applied to offset Vertical Seismic Profile data for the purpose of identification and estimation of time-lapse changes introduced by injection of 15,000 tonnes of CO2-rich gas mixture at 1.5 km depth. Application of this workflow to both synthetic and field data shows that elastic FWI is able to detect and quantify the time-lapse anomaly in P wave velocity with the magnitude of 100-150 m/s.

  • Time‐lapse full waveform inversion of Vertical Seismic Profile data: Workflow and application to the CO2CRC Otway project
    Geophysical Research Letters, 2017
    Co-Authors: Anton Egorov, Roman Pevzner, Andrej Bona, Stanislav Glubokovskikh, Vladimir Puzyrev, Konstantin Tertyshnikov, Boris Gurevich
    Abstract:

    Vertical Seismic Profile (VSP) is one of the technologies for monitoring hydrocarbon production and CO2 geosequestration. However quantitative interpretation of time-lapse VSP is challenging due to its irregular distribution of source-receiver offsets. One way to overcome this challenge is to use full waveform inversion (FWI), which does not require regular offsets. We present a workflow of elastic FWI applied to offset Vertical Seismic Profile data for the purpose of identification and estimation of time-lapse changes introduced by injection of 15,000 tonnes of CO2-rich gas mixture at 1.5 km depth. Application of this workflow to both synthetic and field data shows that elastic FWI is able to detect and quantify the time-lapse anomaly in P wave velocity with the magnitude of 100-150 m/s.

Roman Pevzner - One of the best experts on this subject based on the ideXlab platform.

  • 3d Vertical Seismic Profile acquired with distributed acoustic sensing on tubing installation a case study from the co2crc otway project
    Interpretation, 2019
    Co-Authors: Julia Correa, Barry Freifeld, Roman Pevzner, Andrej Bona, Konstantin Tertyshnikov, M Robertson, Thomas M Daley
    Abstract:

    Author(s): Correa, Julia; Pevzner, Roman; Bona, Andrej; Tertyshnikov, Konstantin; Freifeld, Barry; Robertson, Michelle; Daley, Thomas | Abstract: Distributed acoustic sensing (DAS) can revolutionize the Seismic industry by using fiber-optic cables installed permanently to acquire on-demand Vertical Seismic Profile (VSP) data at fine spatial sampling. With this, DAS can solve some of the issues associated with conventional Seismic sensors. Studies have successfully demonstrated the use of DAS on cemented fibers for monitoring applications; however, such applications on tubing-deployed fibers are relatively uncommon. Application of tubing-deployed fibers is especially useful for preexisting wells, where there is no opportunity to install a fiber behind the casing. In the CO2CRC Otway Project, we acquired a 3D DAS VSP using a standard fiber-optic cable installed on the production tubing of the injector well. We aim to analyze the quality of the 3D DAS VSP on tubing, as well as discuss lessons learned from the current DAS deployment. We find the limitations associated with the DAS on tubing, as well as ways to improve the quality of the data sets for future surveys at Otway. Due to the reduced coupling and the long fiber length (approximately 20 km), the raw DAS records indicate a high level of noise relative to the signal. Despite the limitations, the migrated 3D DAS VSP data recorded by cable installed on tubing are able to image interfaces beyond the injection depth. Furthermore, we determine that the signal-to-noise ratio might be improved by reducing the fiber length.

  • elastic full waveform inversion of Vertical Seismic Profile data acquired with distributed acoustic sensors
    Geophysics, 2018
    Co-Authors: Anton Egorov, Roman Pevzner, Andrej Bona, Stanislav Glubokovskikh, Vladimir Puzyrev, Konstantin Tertyshnikov, Julia Correa, Boris Gurevich
    Abstract:

    Distributed acoustic sensing (DAS) is a rapidly developing technology particularly useful for the acquisition of Vertical Seismic Profile (VSP) surveys. DAS data are increasingly used for Seismic imaging, but not for estimating rock properties. We propose a workflow for estimating elastic properties of the subsurface using full waveform inversion (FWI) of DAS VSP data. Whereas conventional borehole geophones usually measure three components of particle velocity, DAS measures a single quantity, which is an approximation of the strain or strain rate along the fiber. Standard FWI algorithms are developed for particle velocity data, and hence their application to DAS data requires conversion of these data to particle velocity along the fiber. This conversion can be accomplished by a specially designed filter. Field measurements show that the conversion result is close to Vertical particle velocity as measured by geophones. Elastic time-domain FWI of a synthetic multi-offset VSP dataset for a Vertical well sho...

  • time lapse full waveform inversion of Vertical Seismic Profile data workflow and application to the co2crc otway project
    Geophysical Research Letters, 2017
    Co-Authors: Boris Gurevich, Roman Pevzner, Anton Egorov, Andrej Bona, Stanislav Glubokovskikh, Vladimir Puzyrev, Konstantin Tertyshnikov
    Abstract:

    Vertical Seismic Profile (VSP) is one of the technologies for monitoring hydrocarbon production and CO2 geosequestration. However quantitative interpretation of time-lapse VSP is challenging due to its irregular distribution of source-receiver offsets. One way to overcome this challenge is to use full waveform inversion (FWI), which does not require regular offsets. We present a workflow of elastic FWI applied to offset Vertical Seismic Profile data for the purpose of identification and estimation of time-lapse changes introduced by injection of 15,000 tonnes of CO2-rich gas mixture at 1.5 km depth. Application of this workflow to both synthetic and field data shows that elastic FWI is able to detect and quantify the time-lapse anomaly in P wave velocity with the magnitude of 100-150 m/s.

  • Time‐lapse full waveform inversion of Vertical Seismic Profile data: Workflow and application to the CO2CRC Otway project
    Geophysical Research Letters, 2017
    Co-Authors: Anton Egorov, Roman Pevzner, Andrej Bona, Stanislav Glubokovskikh, Vladimir Puzyrev, Konstantin Tertyshnikov, Boris Gurevich
    Abstract:

    Vertical Seismic Profile (VSP) is one of the technologies for monitoring hydrocarbon production and CO2 geosequestration. However quantitative interpretation of time-lapse VSP is challenging due to its irregular distribution of source-receiver offsets. One way to overcome this challenge is to use full waveform inversion (FWI), which does not require regular offsets. We present a workflow of elastic FWI applied to offset Vertical Seismic Profile data for the purpose of identification and estimation of time-lapse changes introduced by injection of 15,000 tonnes of CO2-rich gas mixture at 1.5 km depth. Application of this workflow to both synthetic and field data shows that elastic FWI is able to detect and quantify the time-lapse anomaly in P wave velocity with the magnitude of 100-150 m/s.

  • case history using time lapse Vertical Seismic profiling data to constrain velocity saturation relations the frio brine pilot co2 injection
    Geophysical Prospecting, 2016
    Co-Authors: Thomas M Daley, Boris Gurevich, Mohammed Al Hosni, Eva Caspari, Roman Pevzner
    Abstract:

    Author(s): Al Hosni, M; Caspari, E; Pevzner, R; Daley, TM; Gurevich, B | Abstract: © 2016 European Association of Geoscientists a Engineers CO2 sequestration projects benefit from quantitative assessment of saturation distribution and plume extent for field development and leakage prevention. In this work, we carry out quantitative analysis of time-lapse Seismic by using rock physics and Seismic modelling tools. We investigate the suitability of Gassmann's equation for a CO2 sequestration project with 1600 tons of CO2 injected into high-porosity, brine-saturated sandstone. We analyze the observed time delays and amplitude changes in a time-lapse Vertical Seismic Profile dataset. Both reflected and transmitted waves are analyzed qualitatively and quantitatively. To interpret the changes obtained from the Vertical Seismic Profile, we perform a 2.5D elastic, finite-difference modelling study. The results show a P-wave velocity reduction of 750 m/s in the proximity of the injection well evident by the first arrivals (travel-time delays and amplitude change) and reflected wave amplitude changes. These results do not match with our rock physics model using Gassmann's equation predictions even when taking uncertainty in CO2 saturation and grain properties into account. We find that time-lapse Vertical Seismic Profile data integrated with other information (e.g., core and well log) can be used to constrain the velocity–saturation relation and verify the applicability of theoretical models such as Gassmann's equation with considerable certainty. The study shows that possible nonelastic factors are in play after CO2 injection (e.g., CO2–brine–rock interaction and pressure effect) as Gassmann's equation underestimated the velocity reduction in comparison with field data for all three sets of time-lapse Vertical Seismic Profile attributes. Our work shows the importance of data integration to validate the applicability of theoretical models such as Gassmann's equation for quantitative analysis of time-lapse Seismic data.

Konstantin Tertyshnikov - One of the best experts on this subject based on the ideXlab platform.

  • 3d Vertical Seismic Profile acquired with distributed acoustic sensing on tubing installation a case study from the co2crc otway project
    Interpretation, 2019
    Co-Authors: Julia Correa, Barry Freifeld, Roman Pevzner, Andrej Bona, Konstantin Tertyshnikov, M Robertson, Thomas M Daley
    Abstract:

    Author(s): Correa, Julia; Pevzner, Roman; Bona, Andrej; Tertyshnikov, Konstantin; Freifeld, Barry; Robertson, Michelle; Daley, Thomas | Abstract: Distributed acoustic sensing (DAS) can revolutionize the Seismic industry by using fiber-optic cables installed permanently to acquire on-demand Vertical Seismic Profile (VSP) data at fine spatial sampling. With this, DAS can solve some of the issues associated with conventional Seismic sensors. Studies have successfully demonstrated the use of DAS on cemented fibers for monitoring applications; however, such applications on tubing-deployed fibers are relatively uncommon. Application of tubing-deployed fibers is especially useful for preexisting wells, where there is no opportunity to install a fiber behind the casing. In the CO2CRC Otway Project, we acquired a 3D DAS VSP using a standard fiber-optic cable installed on the production tubing of the injector well. We aim to analyze the quality of the 3D DAS VSP on tubing, as well as discuss lessons learned from the current DAS deployment. We find the limitations associated with the DAS on tubing, as well as ways to improve the quality of the data sets for future surveys at Otway. Due to the reduced coupling and the long fiber length (approximately 20 km), the raw DAS records indicate a high level of noise relative to the signal. Despite the limitations, the migrated 3D DAS VSP data recorded by cable installed on tubing are able to image interfaces beyond the injection depth. Furthermore, we determine that the signal-to-noise ratio might be improved by reducing the fiber length.

  • elastic full waveform inversion of Vertical Seismic Profile data acquired with distributed acoustic sensors
    Geophysics, 2018
    Co-Authors: Anton Egorov, Roman Pevzner, Andrej Bona, Stanislav Glubokovskikh, Vladimir Puzyrev, Konstantin Tertyshnikov, Julia Correa, Boris Gurevich
    Abstract:

    Distributed acoustic sensing (DAS) is a rapidly developing technology particularly useful for the acquisition of Vertical Seismic Profile (VSP) surveys. DAS data are increasingly used for Seismic imaging, but not for estimating rock properties. We propose a workflow for estimating elastic properties of the subsurface using full waveform inversion (FWI) of DAS VSP data. Whereas conventional borehole geophones usually measure three components of particle velocity, DAS measures a single quantity, which is an approximation of the strain or strain rate along the fiber. Standard FWI algorithms are developed for particle velocity data, and hence their application to DAS data requires conversion of these data to particle velocity along the fiber. This conversion can be accomplished by a specially designed filter. Field measurements show that the conversion result is close to Vertical particle velocity as measured by geophones. Elastic time-domain FWI of a synthetic multi-offset VSP dataset for a Vertical well sho...

  • time lapse full waveform inversion of Vertical Seismic Profile data workflow and application to the co2crc otway project
    Geophysical Research Letters, 2017
    Co-Authors: Boris Gurevich, Roman Pevzner, Anton Egorov, Andrej Bona, Stanislav Glubokovskikh, Vladimir Puzyrev, Konstantin Tertyshnikov
    Abstract:

    Vertical Seismic Profile (VSP) is one of the technologies for monitoring hydrocarbon production and CO2 geosequestration. However quantitative interpretation of time-lapse VSP is challenging due to its irregular distribution of source-receiver offsets. One way to overcome this challenge is to use full waveform inversion (FWI), which does not require regular offsets. We present a workflow of elastic FWI applied to offset Vertical Seismic Profile data for the purpose of identification and estimation of time-lapse changes introduced by injection of 15,000 tonnes of CO2-rich gas mixture at 1.5 km depth. Application of this workflow to both synthetic and field data shows that elastic FWI is able to detect and quantify the time-lapse anomaly in P wave velocity with the magnitude of 100-150 m/s.

  • Time‐lapse full waveform inversion of Vertical Seismic Profile data: Workflow and application to the CO2CRC Otway project
    Geophysical Research Letters, 2017
    Co-Authors: Anton Egorov, Roman Pevzner, Andrej Bona, Stanislav Glubokovskikh, Vladimir Puzyrev, Konstantin Tertyshnikov, Boris Gurevich
    Abstract:

    Vertical Seismic Profile (VSP) is one of the technologies for monitoring hydrocarbon production and CO2 geosequestration. However quantitative interpretation of time-lapse VSP is challenging due to its irregular distribution of source-receiver offsets. One way to overcome this challenge is to use full waveform inversion (FWI), which does not require regular offsets. We present a workflow of elastic FWI applied to offset Vertical Seismic Profile data for the purpose of identification and estimation of time-lapse changes introduced by injection of 15,000 tonnes of CO2-rich gas mixture at 1.5 km depth. Application of this workflow to both synthetic and field data shows that elastic FWI is able to detect and quantify the time-lapse anomaly in P wave velocity with the magnitude of 100-150 m/s.

Andrej Bona - One of the best experts on this subject based on the ideXlab platform.

  • 3d Vertical Seismic Profile acquired with distributed acoustic sensing on tubing installation a case study from the co2crc otway project
    Interpretation, 2019
    Co-Authors: Julia Correa, Barry Freifeld, Roman Pevzner, Andrej Bona, Konstantin Tertyshnikov, M Robertson, Thomas M Daley
    Abstract:

    Author(s): Correa, Julia; Pevzner, Roman; Bona, Andrej; Tertyshnikov, Konstantin; Freifeld, Barry; Robertson, Michelle; Daley, Thomas | Abstract: Distributed acoustic sensing (DAS) can revolutionize the Seismic industry by using fiber-optic cables installed permanently to acquire on-demand Vertical Seismic Profile (VSP) data at fine spatial sampling. With this, DAS can solve some of the issues associated with conventional Seismic sensors. Studies have successfully demonstrated the use of DAS on cemented fibers for monitoring applications; however, such applications on tubing-deployed fibers are relatively uncommon. Application of tubing-deployed fibers is especially useful for preexisting wells, where there is no opportunity to install a fiber behind the casing. In the CO2CRC Otway Project, we acquired a 3D DAS VSP using a standard fiber-optic cable installed on the production tubing of the injector well. We aim to analyze the quality of the 3D DAS VSP on tubing, as well as discuss lessons learned from the current DAS deployment. We find the limitations associated with the DAS on tubing, as well as ways to improve the quality of the data sets for future surveys at Otway. Due to the reduced coupling and the long fiber length (approximately 20 km), the raw DAS records indicate a high level of noise relative to the signal. Despite the limitations, the migrated 3D DAS VSP data recorded by cable installed on tubing are able to image interfaces beyond the injection depth. Furthermore, we determine that the signal-to-noise ratio might be improved by reducing the fiber length.

  • elastic full waveform inversion of Vertical Seismic Profile data acquired with distributed acoustic sensors
    Geophysics, 2018
    Co-Authors: Anton Egorov, Roman Pevzner, Andrej Bona, Stanislav Glubokovskikh, Vladimir Puzyrev, Konstantin Tertyshnikov, Julia Correa, Boris Gurevich
    Abstract:

    Distributed acoustic sensing (DAS) is a rapidly developing technology particularly useful for the acquisition of Vertical Seismic Profile (VSP) surveys. DAS data are increasingly used for Seismic imaging, but not for estimating rock properties. We propose a workflow for estimating elastic properties of the subsurface using full waveform inversion (FWI) of DAS VSP data. Whereas conventional borehole geophones usually measure three components of particle velocity, DAS measures a single quantity, which is an approximation of the strain or strain rate along the fiber. Standard FWI algorithms are developed for particle velocity data, and hence their application to DAS data requires conversion of these data to particle velocity along the fiber. This conversion can be accomplished by a specially designed filter. Field measurements show that the conversion result is close to Vertical particle velocity as measured by geophones. Elastic time-domain FWI of a synthetic multi-offset VSP dataset for a Vertical well sho...

  • time lapse full waveform inversion of Vertical Seismic Profile data workflow and application to the co2crc otway project
    Geophysical Research Letters, 2017
    Co-Authors: Boris Gurevich, Roman Pevzner, Anton Egorov, Andrej Bona, Stanislav Glubokovskikh, Vladimir Puzyrev, Konstantin Tertyshnikov
    Abstract:

    Vertical Seismic Profile (VSP) is one of the technologies for monitoring hydrocarbon production and CO2 geosequestration. However quantitative interpretation of time-lapse VSP is challenging due to its irregular distribution of source-receiver offsets. One way to overcome this challenge is to use full waveform inversion (FWI), which does not require regular offsets. We present a workflow of elastic FWI applied to offset Vertical Seismic Profile data for the purpose of identification and estimation of time-lapse changes introduced by injection of 15,000 tonnes of CO2-rich gas mixture at 1.5 km depth. Application of this workflow to both synthetic and field data shows that elastic FWI is able to detect and quantify the time-lapse anomaly in P wave velocity with the magnitude of 100-150 m/s.

  • Time‐lapse full waveform inversion of Vertical Seismic Profile data: Workflow and application to the CO2CRC Otway project
    Geophysical Research Letters, 2017
    Co-Authors: Anton Egorov, Roman Pevzner, Andrej Bona, Stanislav Glubokovskikh, Vladimir Puzyrev, Konstantin Tertyshnikov, Boris Gurevich
    Abstract:

    Vertical Seismic Profile (VSP) is one of the technologies for monitoring hydrocarbon production and CO2 geosequestration. However quantitative interpretation of time-lapse VSP is challenging due to its irregular distribution of source-receiver offsets. One way to overcome this challenge is to use full waveform inversion (FWI), which does not require regular offsets. We present a workflow of elastic FWI applied to offset Vertical Seismic Profile data for the purpose of identification and estimation of time-lapse changes introduced by injection of 15,000 tonnes of CO2-rich gas mixture at 1.5 km depth. Application of this workflow to both synthetic and field data shows that elastic FWI is able to detect and quantify the time-lapse anomaly in P wave velocity with the magnitude of 100-150 m/s.