4D Joint Stratigraphic Inversion of Prestack Seismic Data: Application to the CO<sub>2</sub>Storage Reservoir (Utsira Sand Formation) at Sleipner Site

Labat, K.; Delépine, Nicolas; Clochard, V.; Ricarte, Patrice

doi:10.2516/ogst/2012006

Cited by 8 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is also a very interesting way to test the effects of different scales of modeled heterogeneity on production (Falivene et al, 2006b) and/or to optimize well placement in the related types of reservoirs (Stright et al, 2014). So our work benefited from previous studies of this outcrop (Arbués et al, 2007;Falivene et al, 2006b;Schmitz et al, 2014) and strongly emphasized the integration of the various fields of expertise involved in this workflow; for instance in Virtual analog (e.g., Schmitz et al, 2014), in Geological modeling (e.g., Gasparrini et al, 2016), in Reservoir simulation & history matching (e.g., Le Ravalec et al, 2012), in 4D seismic inversion (e.g., Labat et al, 2012) and in Rock Physics (e.g., Zinszner, 2012, 2014).…”

Section: Introductionmentioning

confidence: 83%

A complete workflow applied on an oil reservoir analogue to evaluate the ability of 4D seismics to anticipate the success of a chemical enhanced oil recovery process

Dubos-Sallée

Fourno

Zarate-Rada

et al. 2020

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

View full text Add to dashboard Cite

In an Enhanced Oil Recovery (EOR) process, one of the main difficulties is to quickly evaluate if the injected chemical products actually improve oil recovery in the reservoir. The efficiency of the process can be monitored in the vicinity of wells, but it may take time to estimate it globally in the reservoir. The objective of this paper is to investigate the ability of 4D seismics to bridge this gap and to help predict the success or breakdown of a production strategy at reservoir scale. To that purpose, we consider a complete workflow for simulating realistic reservoir exploitation using chemical EOR and 4D seismic modeling. This workflow spans from geological description to seismic monitoring simulation and seismic attributes analysis, through geological and reservoir modeling. It is applied here on a realistic case study derived from an outcrop analog of turbiditic reservoirs, for which the efficiency of chemical EOR by polymer and surfactant injection is demonstrated. For this specific field monitoring application, the impact of both waterflooding and proposed EOR injection is visible on the computed seismics. However, EOR injection induces a more continuous water front that can be clearly visible on seismics. In this case, the EOR efficiency can thus be related to the continuity of the water front as seen on seismics. Nevertheless, in other cases, chemical EOR injections may have more moderate impacts, or the field properties may be less adapted to seismic monitoring. This points out the importance of the proposed workflow to check the relevance of seismic monitoring and to design the most adapted monitoring strategy. Numerous perspectives are proposed at the end of the paper. In particular, experts of the different disciplines involved in the proposed workflow can benefit from the availability of a complete set of well-controlled data of various types to test and improve their own tools. In contrast, the non-experts can easily and quickly benefit from “hands-on” experiments for understanding the involved phenomena. Furthermore, the proposed workflow can be directly applied to geological reservoirs all over the world.

show abstract

Section: Introductionmentioning

confidence: 83%

A complete workflow applied on an oil reservoir analogue to evaluate the ability of 4D seismics to anticipate the success of a chemical enhanced oil recovery process

Dubos-Sallée

Fourno

Zarate-Rada

et al. 2020

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

View full text Add to dashboard Cite

show abstract

“…CO 2 storage at the Utsira sand provides an excellent example of the application of surface seismic methods to CO 2 plume monitoring under favorable circumstances. Several authors (Arts et al, 2004;Clochard et al, 2009;Chadwick et al, 2010;Delépine et al, 2010;Rubino and Velis, 2011;Fornel and Estublier, 2012;Labat et al, 2012) have interpreted pre-stack or poststack seismic volumes of Sleipner field in terms of CO 2 saturation. The analysis and applications of the proposed methods to the real data from Sleipner field are still being carried out to address the non-uniqueness of the modeling technique as well as uncertainties associated with the modeling parameters.…”

mentioning

confidence: 99%

Quantitative interpretation of CO2 plume from Sleipner (North Sea), using post-stack inversion and rock physics modeling

Ghosh

Sen

Vedanti

2015

International Journal of Greenhouse Gas Control

View full text Add to dashboard Cite

Sleipner gas field in the North Sea is the world's first industrial scale CO 2 injection project designed specifically to reduce the emission of greenhouse gas. Here CO 2 separated from natural gas produced at Sleipner gas field is injected into the Utsira sand, which is a major saline aquifer in the North Sea basin. From time-lapse (4D) seismic data, CO 2 plume is observed as a number of bright sub-horizontal reflections within the reservoir. Correlation of log data with the seismic data indicates that CO 2 accumulates within a series of interbedded sandstones and mudstones beneath a thick cap rock of mudstone. Nine reflective horizons have been mapped within the reservoir on the six seismic surveys from 1999 to 2008. Comparison with the baseline seismic survey of 1994 (pre-injection) provides clear impression of the migration of CO 2 plume. In this paper, we attempt to model CO 2 distribution quantitatively within the reservoir by applying a pressure-dependent differential effective medium (PDEM) theory using 4D seismic data. Preand post-injection acoustic impedances are calculated by inverting post-stack seismic data of 1994 and 2001 using a model-based inversion technique. A 3D CO 2 saturation volume is estimated using PDEM theory from inverted acoustic impedance of the year 2001 taking the reference of that from the results of pre-injection data of the year 1994. Since the gas distribution type is seldom known, we estimate the saturation distribution using both a homogeneous and a patchy distribution pattern in our rock physics model. We estimate saturation for homogeneous

show abstract

Twenty Years of Monitoring CO2 Injection at Sleipner

Eiken¹

2019

Geophysics and Geosequestration

View full text Add to dashboard Cite

4D Joint Stratigraphic Inversion of Prestack Seismic Data: Application to the CO₂Storage Reservoir (Utsira Sand Formation) at Sleipner Site

Cited by 8 publications

References 25 publications

A complete workflow applied on an oil reservoir analogue to evaluate the ability of 4D seismics to anticipate the success of a chemical enhanced oil recovery process

A complete workflow applied on an oil reservoir analogue to evaluate the ability of 4D seismics to anticipate the success of a chemical enhanced oil recovery process

Quantitative interpretation of CO2 plume from Sleipner (North Sea), using post-stack inversion and rock physics modeling

Twenty Years of Monitoring CO2 Injection at Sleipner

Contact Info

Product

Resources

About

4D Joint Stratigraphic Inversion of Prestack Seismic Data: Application to the CO2Storage Reservoir (Utsira Sand Formation) at Sleipner Site

Cited by 8 publications

References 25 publications

A complete workflow applied on an oil reservoir analogue to evaluate the ability of 4D seismics to anticipate the success of a chemical enhanced oil recovery process

A complete workflow applied on an oil reservoir analogue to evaluate the ability of 4D seismics to anticipate the success of a chemical enhanced oil recovery process

Quantitative interpretation of CO2 plume from Sleipner (North Sea), using post-stack inversion and rock physics modeling

Twenty Years of Monitoring CO2 Injection at Sleipner

Contact Info

Product

Resources

About

4D Joint Stratigraphic Inversion of Prestack Seismic Data: Application to the CO₂Storage Reservoir (Utsira Sand Formation) at Sleipner Site