Finite-difference modeling experiments for seismic interferometry

Thorbecke, Jan; Draganov, Deyan

doi:10.1190/geo2010-0039.1

Cited by 182 publications

(68 citation statements)

References 32 publications

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“…To show this can be done, we use data obtained from finite-difference modelling in acoustic mode (Thorbecke and Draganov, 2011). We consider a horizontally layered subsurface ( Fig.…”

Section: Results From Numerically Modelled Datamentioning

confidence: 99%

Monitoring CO2 Storage Using Seismic-interferometry Ghost Reflections

Draganov¹,

Heller²,

Ghose³

2013

London 2013, 75th Eage Conference en Exhibition Incorporating SPE Europec

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SUMMARYTime-lapse seismic monitoring is a fundamental part in most monitoring programmes involving CO2 storage. Even though the seismic method has proven its applicability for monitoring, there are two major causes of uncertainty in the estimation of changes in the reservoir properties: non-repeatability of the source positions and the difficulty in distinguishing the time-lapse effect due to the overburden from that of the changes taking place in a CO2 reservoir. We show that utilization of non-physical (ghost) reflections retrieved by seismic interferometry can address the two mentioned reasons of uncertainty. We apply this idea on numerically modelled data as well as on data from scaled laboratory experiment at ultrasonic frequencies.

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“…To show this can be done, we use data obtained from finite-difference modelling in acoustic mode (Thorbecke and Draganov, 2011). We consider a horizontally layered subsurface ( Fig.…”

Section: Results From Numerically Modelled Datamentioning

confidence: 99%

Monitoring CO2 Storage Using Seismic-interferometry Ghost Reflections

Draganov¹,

Heller²,

Ghose³

2013

London 2013, 75th Eage Conference en Exhibition Incorporating SPE Europec

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“…This algorithm is especially designed for efficient computation of long-duration passive seismic experiments (Thorbecke and Draganov, 2011). A passive experiment is characterized by the noise parameters, such as the number of sources, their spatial distribution, their maximum duration and their frequency bandwidth.…”

Section: Numerical Modellingmentioning

confidence: 99%

A Feasibility Study of Time-Lapse Seismic Noise Interferometry for CO2 Monitoring at Ketzin

Boullenger¹,

Verdel²,

Thorbecke³

et al. 2013

Proceedings

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SUMMARYSince 2008, CO2 has been injected at the demonstration site for CO2 sequestration in Ketzin, Germany. Since 2009, a permanent array of seismic receivers installed by TNO at the injection site has recorded passive data continuously. It is the intention of TNO to use seismic interferometry (SI) by cross-correlation applied to the recorded ambient noise as a cost-effective technique for time-lapse monitoring. Under specific conditions, SI by cross-correlation can retrieve reflection data that may be interpreted in terms of subsurface layer properties. To assess the feasibility of this monitoring technique, we model base and monitor passive experiments for recording the response from noise sources and cross-correlate the recorded synthetic traces. The best results are obtained when the stationary-phase regions for the Green's functions are sampled densely enough by noise sources and, at the same time, the noise contributions from non-stationary regions cancel to a sufficient extent. Conversely, non-favourable noise conditions will cause wrong retrieval of the Green's functions and possibly deteriorate the monitoring potential of the technique. However, we show that being selective with the recorded noise in terms of illumination characteristics prior to correlation will improve the retrieved reflection data for further monitoring interpretation.

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“…To test the sensitivity of SI and CRSS to specific situations, we model the seismic wavefield using a finite-difference code (Thorbecke and Draganov, 2011). The complex subsurface velocity model we use is shown in Figure 1.…”

Section: Basic Idea and The Approachmentioning

confidence: 99%

Sensitivity of Seismic Interferometry and Conventional Reflection Seismics at a Landfil to Processing and Survey Errors

Konstantaki¹,

Draganov²,

Heimovaara³

et al. 2013

Proceedings

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SUMMARYUnderstanding how sensitive the seismic method is to errors that can occur during a seismic survey or during the processing of the seismic data is of high importance for any exploration geophysical project. Our aim is to image the subsurface of a landfill, which is typically a heterogeneous system due to the presence of numerous scatterers. Therefore, in our case precision is of very high importance. Because of this, we test and compare the sensitivity of seismic interferometry (SI) and conventional reflection seismics survey (CRSS) to errors produced due to time-lapse surveys, migration-velocity errors and muting. Using numerically modelled data, we show that SI provides better subsurface information than CRSS.

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Finite-difference modeling experiments for seismic interferometry

Cited by 182 publications

References 32 publications

Monitoring CO2 Storage Using Seismic-interferometry Ghost Reflections

Monitoring CO2 Storage Using Seismic-interferometry Ghost Reflections

A Feasibility Study of Time-Lapse Seismic Noise Interferometry for CO2 Monitoring at Ketzin

Sensitivity of Seismic Interferometry and Conventional Reflection Seismics at a Landfil to Processing and Survey Errors

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