Dépôt numérique

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


Téléchargements par mois depuis la dernière année

Plus de statistiques...

Mardan, Amir; Giroux, Bernard ORCID logoORCID: https://orcid.org/0000-0002-2042-2759; Fabien‐Ouellet, Gabriel et Saberi, Mohammad Reza (2023). Monitoring fluid saturation in reservoirs using time‐lapse full‐waveform inversion. Geophysical Prospecting , vol. 71 , nº 6. pp. 1012-1029. DOI: 10.1111/1365-2478.13363.

[thumbnail of P4277.pdf]
Télécharger (4MB) | Prévisualisation


Monitoring the rock physics properties of the subsurface is of great importance for reservoir management. For either oil and gas applications or CO₂ 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 a 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.

Type de document: Article
Mots-clés libres: elastics; full waveform; inversion; monitoring; time laps
Centre: Centre Eau Terre Environnement
Date de dépôt: 02 nov. 2023 13:09
Dernière modification: 02 nov. 2023 13:09
URI: https://espace.inrs.ca/id/eprint/13689

Gestion Actions (Identification requise)

Modifier la notice Modifier la notice