Strategies for elastic full waveform inversion of time‐lapse ocean bottom cable (OBC) seismic data

Zheng, Yawei; Barton, P. J.; Singh, S. C.

doi:10.1190/1.3628083

Cited by 42 publications

(28 citation statements)

References 12 publications

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“…Denli and Huang (2009) develop a double-difference waveform inversion (DDWI) algorithm using time-lapse reflection data in the time domain and demonstrate, using synthetic data, that the method has the potential to produce reliable estimates of reservoir changes. Similar approaches are also reported by Zhang and Huang (2013) and Zheng et al (2011). Several publications have compared the performance of the three different strategies with synthetic examples.…”

Section: Introductionmentioning

confidence: 60%

“…The subtraction between models would give time-lapse model differences assuming the two inversions converge to a similar level in a similar number of iterations (Zheng et al, 2011;Routh et al, 2012). However, the convergence levels of waveform inversions for individual data sets are affected by data quality and computational parameters used in the inversion, which may differ between surveys.…”

Section: Introductionmentioning

confidence: 99%

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Time-lapse full-waveform inversion with ocean-bottom-cable data: Application on Valhall field

et al. 2016

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Knowledge of changes in reservoir properties resulting from extracting hydrocarbons or injecting fluid is critical to future production planning. Full-waveform inversion (FWI) of time-lapse seismic data provides a quantitative approach to characterize the changes by taking the difference of the inverted baseline and monitor models. The baseline and monitor data sets can be inverted either independently or jointly. Time-lapse seismic data collected by ocean-bottom cables (OBCs) in the Valhall field in the North Sea are suitable for such time-lapse FWI practice because the acquisitions are of a long offset, and the surveys are well-repeated. We have applied independent and joint FWI schemes to two time-lapse Valhall OBC data sets, which were acquired 28 months apart. The joint FWI scheme is doubledifference waveform inversion (DDWI), which inverts differenced data (the monitor survey subtracted by the baseline survey) for model changes. We have found that DDWI gave a cleaner and more easily interpreted image of the reservoir changes compared with that obtained with the independent FWI schemes. A synthetic example is used to demonstrate the advantage of DDWI in mitigating spurious estimates of property changes and to provide cross validations for the Valhall data results.

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Section: Introductionmentioning

confidence: 60%

Section: Introductionmentioning

confidence: 99%

Time-lapse full-waveform inversion with ocean-bottom-cable data: Application on Valhall field

et al. 2016

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“…Different approaches for performing time-lapse FWI (TLFWI) exist in the literature (Watanabe et al, 2004;Zheng et al, 2011;Raknes and Arntsen, 2014a). Compared to the conventional methods mentioned above, TLFWI is able to resolve time-lapse changes directly in the parameter models, in addition to yield results in cases where the linearity assumption is violated.…”

Section: Introductionmentioning

confidence: 99%

Seismic imaging of the carbon dioxide gas cloud at Sleipner using 3D elastic time-lapse full waveform inversion

Raknes

Weibull

Arntsen

2015

International Journal of Greenhouse Gas Control

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a b s t r a c tA solution to the increasing greenhouse gas emissions is carbon capture and storage. At the Sleipner field, offshore Norway, carbon dioxide is separated from the produced gas and injected into the Utsira formation at approximately 1000 m depth. The Utsira formation is a high porosity saline aquifer that is 200-300 m thick in the injection area. In 1994, two years before the injection started, a seismic survey was acquired. The survey has been followed up by several seismic surveys acquired to monitor the migration of the injected gas. The full waveform inversion (FWI) method is a non-linear inverse method for estimating subsurface elastic parameters. Time-lapse FWI has recently been suggested as a monitoring tool for resolving time-lapse changes directly in the elastic parameter models. This paper presents an application of a three dimensional implementation of isotropic elastic time-lapse FWI applied on time-lapse field data from the Sleipner area. The baseline dataset is the 1994 dataset, whereas the monitor dataset is the survey acquired in 2006 after ten years of injection. Time-lapse FWI is used to estimate separate elastic parameter models for both the baseline and the monitor datasets. The results show that FWI is able to estimate detailed elastic parameter models that produce synthetic data that match the field data. The inverted models are used in a pre-stack depth migration method to yield detailed seismic images of the Sleipner before and after the injection of the gas. The gas cloud after ten years of injection is clearly visible on the monitor seismic images. The baseline and monitor seismic images show events and discontinuities that can explain the migration pathways of the injected gas through the Utsira formation.

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“…Onishi et al (2009) apply a similar strategy to conduct differential traveltime tomography using crosswell surveys. Zheng et al (2011) propose a double-difference waveform inversion (DDWI) algorithm using time-lapse reflection data in the time domain and demonstrate, with synthetic data, that the method has the potential to produce reliable estimates of reservoir changes. Zheng et al (2011) compare DDWI with conventional approaches using synthetic ocean-bottom-cable data.…”

Section: Introductionmentioning

confidence: 99%

“…Zheng et al (2011) propose a double-difference waveform inversion (DDWI) algorithm using time-lapse reflection data in the time domain and demonstrate, with synthetic data, that the method has the potential to produce reliable estimates of reservoir changes. Zheng et al (2011) compare DDWI with conventional approaches using synthetic ocean-bottom-cable data. Synthetic marine time-lapse streamer data were used for a similar performance comparison in Routh et al (2012).…”

Section: Introductionmentioning

confidence: 99%

Double-difference waveform inversion: Feasibility and robustness study with pressure data

et al. 2015

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Time-lapse seismic data are widely used to monitor reservoir changes. Qualitative comparisons between baseline and monitor data sets or image volumes provide information about fluid and pressure effects within the reservoir during production. However, to perform real quantitative analysis of such reservoir changes, quantitative estimates of the elastic parameters are required as input parameters to rock-physics-based reservoir models. Full-waveform inversion has been proposed as a potential tool for retrieving subsurface properties, such as P-and S-wave velocities and density by fitting simulated waveforms to seismic data. An extension of this method to time-lapse applications seems straightforward, but, in fact, it requires more tailored processes such as double-difference waveform inversion (DDWI). We used realistic 2D synthetic pressure data examples to compare the performance of DDWI with that of two other inversion schemes: one using the same starting model for both inversions and the other starting the monitor inversion with the final baseline inversion model. The data simulation and inversion were based on acoustic theory. Although P-wave velocity changes were reliably recovered by each inversion method, DDWI was found to deliver the best results when perfectly repeated surveys were used. However, differencing the baseline and monitor data sets, as required by DDWI, could be found to be sensitive to the presence of survey nonrepeatability. To investigate the feasibility of using DDWI in practice, the dependence of DDWI on the quality of the baseline models and its robustness to survey nonrepeatability were studied with numerical tests. Various types of nonrepeatability were considered separately in the synthetic tests, including random noise, acquisition geometry mismatch, source wavelet discrepancy, and overburden velocity changes. A study of the correlation between the levels and types of nonrepeatability and the resulting contamination of the inversion results found that, for pressure data, DDWI was capable of inverting reliably for P-wave velocity changes under realistic survey nonrepeatability conditions.

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Strategies for elastic full waveform inversion of time‐lapse ocean bottom cable (OBC) seismic data

Cited by 42 publications

References 12 publications

Time-lapse full-waveform inversion with ocean-bottom-cable data: Application on Valhall field

Time-lapse full-waveform inversion with ocean-bottom-cable data: Application on Valhall field

Seismic imaging of the carbon dioxide gas cloud at Sleipner using 3D elastic time-lapse full waveform inversion

Double-difference waveform inversion: Feasibility and robustness study with pressure data

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