Reservoir time-lapse variations and coda wave interferometry

Tang, Jie; Li, Jingjing; Yao, Zhenan; Shao, Jie; Sun, Chengyu

doi:10.1007/s11770-015-0482-4

Cited by 7 publications

(4 citation statements)

References 26 publications

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“…Eid et al (2015) argued in the context of seismic monitoring of CO 2 plume growth that the presence of reservoir heterogeneities added another complexity to the prediction of saturation and distribution of the injected CO 2 . Through the simplified numerical simulation and ultrasonic lab experiments, Tang et al (2015) addressed that minor subsurface variations can be reasonably detected from the coda wave interferometry because of the magnification effects due to wave multiple scattering in a heterogeneous rock.…”

Section: Introductionmentioning

confidence: 99%

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A physical modelling study of waveform amplification effects of reservoir heterogeneity on time‐lapse seismic attribute analysis

Wang

Dong

et al. 2022

Geophysical Prospecting

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Hydrocarbon depletion causes fluid saturation and pressure changes, resulting in perturbations in reservoir elasticities and, hence, observable time‐lapse (or 4D) seismic responses. Using controlled physical modelling experiments, we aim to evaluate reservoir heterogeneities‐related scattering effects on seismic signatures and assess pore‐fluid substitution impacts on the 4D seismic attributes. Physical modelling experiments reveal that wave propagations in heterogeneous rocks produce substantially magnified 4D attribute differences related to fluid replacements, contrary to seismic features in homogeneous rocks. In particular, reflected waveforms from the gas‐filled scenario exhibit more apparent discontinuities and amplitude variations than water‐ and oil‐saturated scenarios in the heterogeneous regions. It is interesting to see that fluid substitution‐induced 4D seismic differences are observable within the weakly heterogeneous region but significantly strong within the highly heterogeneous region. Although it is expected that substituting oil with water produces weak perturbations in reservoir elasticities, the 4D difference observations between time‐varying records are apparent. This implies that in addition to reservoir heterogeneities‐induced amplifying effects, 4D seismic anomalies are also caused by pore‐fluid changes. Due to mesoscopic rock heterogeneities, seismic responses are complicated, and 4D difference estimates will be amplified strongly and, thus, unable to quantify variations in fluid saturation appropriately. This implies that obvious difference volumes in the underburden regions do not necessarily correspond to significant variations in pore‐fluid. Subsequently, two end‐member rock physics models were applied to predict the widest range of velocity variations and pore‐fluid behaviours. Although mesoscopic heterogeneities cause varying degrees of difficulties for hydrocarbon detection, the deformed waveform‐induced seismic attribute anomalies, which are often greatly amplified, may be beneficial for more accurately identifying reservoir fluids and monitoring their minor variations in practice.

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Section: Introductionmentioning

confidence: 99%

“…Through the simplified numerical simulation and ultrasonic lab experiments, Tang et al. (2015) addressed that minor subsurface variations can be reasonably detected from the coda wave interferometry because of the magnification effects due to wave multiple scattering in a heterogeneous rock.…”

Section: Introductionmentioning

confidence: 99%

A physical modelling study of waveform amplification effects of reservoir heterogeneity on time‐lapse seismic attribute analysis

Wang

Dong

et al. 2022

Geophysical Prospecting

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“…Zhou et al [41] verified the capability of the CWI method for monitoring velocity changes in a CO 2 reservoir using time-lapse VSP data. Tang et al [42] applied CWI to synthetic elastic VSP data to detect 2% changes in velocities in a reservoir. Brenguier et al [34] combined Green's function retrieval from ambient noise with coda wave interferometry to perform passive monitoring.…”

Section: Introductionmentioning

confidence: 99%

Time-Lapse Cross-Well Monitoring of CO2 Sequestration Using Coda Wave Interferometry

Zhang

Juhlin

et al. 2022

Remote Sensing

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In this study, we explored the capability of coda wave interferometry (CWI) for monitoring CO2 storage by estimating the seismic velocity changes caused by CO2 injection. Given that the CWI method is highly efficient, the primary aim of this study was to provide a quick detection tool for the long-term monitoring of CO2 storage safety. In particular, we looked at monitoring with a cross-well geometry. We also expected that CWI could help to reduce the inversion errors of existing methods. Time-lapse upgoing waves and downgoing waves from two-component datasets were utilized to efficiently monitor the area between the wells and provide a quick indication of possible CO2 leakage. The resulting mean velocity changes versus the depth indicated the depth where velocity changes occurred. Combining the upgoing and downgoing wavefields provided a more specific indication of the depth range for changes. The calculated velocity changes were determined using the time shift between the time-lapse wavefields caused by CO2 injection/leakage. Hence, the resulting velocity changes were closely related to the ratio of propagation path length through the CO2 injection/leakage layer over the length of the entire travel path. The results indicated that the noise level and repeatability of the time-lapse datasets significantly influenced the results generated using CWI. Therefore, denoising and time-lapse processing were very important for improving the detectability of any change. Applying CWI to time-lapse cross-well surveys can be an effective tool for monitoring CO2 in the subsurface at a relatively low computational cost. As a highly efficient monitoring method, it is sensitive to changes in the seismic response caused by velocity changes in the subsurface and provides additional constraints on the inversion results from conventional travel time tomography and full waveform inversion.

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“…Zhou et al (Zhou, Huang, and Rutledge 2010), using synthetic and real VSP data, show that coda wave interferometry can be used to monitor CO2 sequestration, estimating velocity changes in the order of 10%. Tang et al (Tang et al 2015) detected changes in reservoir velocity of 2% using synthetic data from the elastic Marmousi II model. Based on this work we conducted numerical experiments in order to study the feasibility of coda wave interferometry for monitoring reservoir timelapse characteristics.…”

Section: Introductionmentioning

confidence: 99%