3D Geological and Petrophysical Numerical Models of E6 Structure for CO2 Storage in the Baltic Sea

Shogenov, Kazbulat; Forlin, Edy; Shogenova, Alla

doi:10.1016/j.egypro.2017.03.1486

Cited by 8 publications

(3 citation statements)

References 19 publications

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“…Recent 3D modeling examples in the oil and gas sector can be seen in Qadri et al (2019), , Ali et al (2020), and Islam et al (2021). Examples of 3D geological modeling focusing on CO 2 storage are scarce, such as Kaufmann and Martin (2008), Douglass and Kelly (2010), Monaghan et al (2012), Alcalde et al (2014), Lech et al (2016), Mediato et al (2017), Shogenov et al (2017), Vo Thanh et al (2019, and Zhong and Carr (2019). Evaluations and studies focusing on CO 2 geological storage in the Paraná Basin include only the study on the Santa Terezinha coal eld (Weniger et al 2010), and the studies considering a saline aquifer (Ketzer et al 2009;Lima et al 2011;Rockett et al 2011;Machado et al 2013;Dalla Vecchia et al 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Examples of 3D geological modeling focusing on CO 2 storage are scarce. [26][27][28][29][30][31][32][33][34] Evaluations and studies focusing on CO 2 geological storage in the Paraná Basin include the study based on the Santa Terezinha coalfield, 35 and those considering saline aquifers. [36][37][38][39][40] The objectives in this research include: (1) Site selection on a regional scale for CO 2 storage focusing on the shale reservoirs within the Paraná Basin, and (2) estimation of the theoretical storage capacity of the selected site.…”

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confidence: 99%

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3D implicit modeling applied to the evaluation of CO₂ geological storage in the shales of the Irati Formation, Paraná Basin, Southeastern Brazil

et al. 2021

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The Paris Agreement established global ambitious targets for reducing carbon dioxide (CO 2 ) emissions, requiring the rapid and extensive development of low carbon technologies, and one of the most efficient is CO 2 geological storage. Among the deep geological formations used for CO 2 storage, the shale layers have been a new emerging field with higher efficiency because they are abundant and have a high content of organic matter that is favorable for CO 2 retention. However, one of the challenges in evaluating a location for potentials reservoirs is the adequate geological characterization and storage volume estimation. The study evaluates the Irati Formation of the Paraná Basin based on wireline logs information within Southeastern Brazil, where most stationary sources of carbon emissions are located. Three-dimensional (3D) implicit modeling techniques were applied not only for volume calculation purpose, but also in the site selection stage, generating thematic 3D models indicating thickness, depth, structures, and distance to aquifer systems. The limestones, shales, and black shales of the Irati Formation were locally grouped into six units considering the geological composition and spatial continuity. Based on the 3D model and reservoir parameters, the organic-rich shale Unit E with a theoretical capacity of 1.85 Gt is considerable for CO 2 storage. The estimated CO 2 storage capacity is promising because it is higher than the total CO 2 locally produced, and it could support the implantation of new projects in this region.

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

3D implicit modeling applied to the evaluation of CO₂ geological storage in the shales of the Irati Formation, Paraná Basin, Southeastern Brazil

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Examples of 3D geological modeling focusing on CO 2 storage are scarce. [26][27][28][29][30][31][32][33][34] Evaluations and studies focusing on CO 2 geological storage in the Paraná Basin include the study based on the Santa Terezinha coal eld, 35 and those considering saline aquifers. [36][37][38][39][40] The objectives in this research include: 1) Site selection on a regional scale for CO 2 storage focusing on the shale reservoirs within the Paraná Basin, and 2) Estimation of the theoretical storage capacity of the selected site.…”

Section: Introductionmentioning

confidence: 99%

3D implicit modeling applied to the evaluation of CO2 geological storage in the shales of the Irati Formation, Paraná Basin, Southeastern Brazil

Oliveira

Tassinari

A-A.

et al. 2021

Preprint

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The Paris Agreement established global ambitious targets for reducing carbon dioxide (CO2) emissions, requiring the rapid and extensive development of low carbon technologies, and one of the most efficient is CO2 geological storage. Among the deep geological formations used for CO2 storage, the shale layers have been a new emerging topic showing to be efficient because they are abundant and have a high content of organic matter, being favorable for CO2 retention. However, one of the challenges in evaluating a location for possible reservoirs is the adequate geological characterization and storage volume estimates. This research evaluated the Irati Formation of the Paraná Basin, through the information from hydrocarbon exploration wells in Southeastern Brazil, where most stationary sources of carbon emissions are located. Three-dimensional (3D) implicit modeling techniques were applied not only for the volume calculation purpose, but also in the site selection stage, generating thematic 3D models of thickness, depth, structures, and distance to aquifer systems. The limestones, shales, and black shales of the Irati Formation were locally divided into six units according to geological composition and spatial continuity. The E black shale unit was considered for CO2 geological storage indicating a theoretical capacity of 1.85 Gt of CO2. The potential of the achieved capacity is promising not only for been greater than the total of CO2 locally produced but also for supporting the implantation of new projects in this region.

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The Development of a Geological 3D Model of the São Carlos Region, Brazil

Failache

Zuquette

2018

IAEG/AEG Annual Meeting Proceedings, San Francisco, California, 2018—Volume 6

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3D Geological and Petrophysical Numerical Models of E6 Structure for CO2 Storage in the Baltic Sea

Cited by 8 publications

References 19 publications

3D implicit modeling applied to the evaluation of CO₂ geological storage in the shales of the Irati Formation, Paraná Basin, Southeastern Brazil

3D implicit modeling applied to the evaluation of CO₂ geological storage in the shales of the Irati Formation, Paraná Basin, Southeastern Brazil

3D implicit modeling applied to the evaluation of CO2 geological storage in the shales of the Irati Formation, Paraná Basin, Southeastern Brazil

The Development of a Geological 3D Model of the São Carlos Region, Brazil

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