Effects of Nonrepeatability on Time-Lapse Full-Waveform Inversion

Mardan, Amir; Giroux, B.; Fabien‐Ouellet, Gabriel

doi:10.3997/2214-4609.202211009

Cited by 2 publications

(2 citation statements)

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“…This package was first released in January 2022 and based on statistics from PePy website, it has been downloaded 13000 times. The authors used this package in a variety of studies and they published different papers [6,[31][32][33], in addition to the papers under revision or in preparation where PyFWI is presented. This should increase the visibility of this package outside of the research group of the authors.…”

Section: Impactmentioning

confidence: 99%

Pyfwi: A Python Package for Full-Waveform Inversion and Reservoir Monitoring

Mardan

Giroux

Fabien‐Ouellet

2023

Preprint

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Section: Impactmentioning

confidence: 99%

Pyfwi: A Python Package for Full-Waveform Inversion and Reservoir Monitoring

Mardan

Giroux

Fabien‐Ouellet

2023

Preprint

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“…Either for oil and gas applications or CO 2 sequestration, the ability to monitor reservoirs is highly important as it allows for safe and profitable operations. Time‐lapse seismic monitoring is a powerful tool that allows to investigate large‐scale changes in a reservoir (Lumley, 2001; Landrø et al., 2003; Dupuy et al., 2016; Maharramov et al., 2016; Fabien‐Ouellet et al., 2017; Lang & Grana, 2019; Zhou & Lumley, 2021; Mardan et al., 2022b, 2022d, 2022a). Seismic monitoring is sensitive to changes in elastic parameters, which can be related to reservoir parameters, such as saturation, through a rock physics model.…”

Section: Introductionmentioning

confidence: 99%

Monitoring fluid saturation in reservoirs using time‐lapse full‐waveform inversion

Mardan

Giroux

Fabien‐Ouellet

et al. 2023

Geophysical Prospecting

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Monitoring the rock-physics properties of the subsurface is of great importance for reservoir management. For either oil and gas applications or CO 2 storage, seismic data are a valuable source of information for tracking changes in elastic properties which can be related to fluids saturation and pressure changes within the reservoir. Changes in elastic properties can be estimated with time-lapse full-waveform inversion. Monitoring rock-physics properties, such as saturation, with time-lapse full-waveform inversion is usually a two-step process: first, elastic properties are estimated with full-waveform inversion, then, the rock-physics properties are estimated with rock-physics inversion. However, multiparameter time-lapse full-waveform inversion is prone to crosstalk between parameter classes across different vintages. This leads to leakage from one parameter class to another, which, in turn, can introduce large errors in the estimated rock-physics parameters. To avoid inaccuracies caused by crosstalk and the two-step inversion strategy, we reformulate time-lapse full-waveform inversion to estimate directly the changes in the rock-physics properties. Using Gassmann's model, we adopt a new parameterization containing porosity, clay content, and water saturation. In the context of reservoir monitoring, changes are assumed to be induced by fluid substitution only. The porosity and clay content can thus be kept constant during time-lapse inversion. We compare this parameterization with the usual density-velocity parameterization for different benchmark models. Results indicate that the proposed parameterization eliminates crosstalk between parameters of different vintages, leading to more accurate estimation of saturation changes. We also show that using the parameterization based on porosity, clay content, and water saturation, the elastic changes can be monitored more accurately.Keywords full-waveform inversion • CO 2 monitoring • time-lapse inversion • reservoir monitoring • rock-physics monitoring

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Effects of Nonrepeatability on Time-Lapse Full-Waveform Inversion

Cited by 2 publications

References 0 publications

Pyfwi: A Python Package for Full-Waveform Inversion and Reservoir Monitoring

Pyfwi: A Python Package for Full-Waveform Inversion and Reservoir Monitoring

Monitoring fluid saturation in reservoirs using time‐lapse full‐waveform inversion

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