Understanding the relationship between acoustic impedance and porosity in the presalt of the Buzios Field, Santos Basin

Dias, Roberto; Castro, Thais Mallet de; Santos, M.A.C.; Lupinacci, Wagner Moreira

doi:10.3997/2214-4609.201982009

Cited by 3 publications

(3 citation statements)

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“…This represents a major challenge for the use of porosity modeling techniques and classification of facies based solely on the IP volume as a constrain. This overlapping of IP values in the presalt carbonates between reservoir and non-reservoir rocks has also been reported in the work of Teixeira et al (2017); Castro and Lupinacci (2019); Dias et al (2019); Mello (2020); Penna and Lupinacci (2020); Penna and Lupinacci (2021).…”

Section: Resultssupporting

confidence: 83%

“…A series of recent articles uses quantitative seismic interpretation techniques to characterize presalt reservoirs. Acoustic and elastic inversions are recurrent themes, as well as the use of impedance volumes for modeling reservoir properties, such as porosity and facies classification (Teixeira et al, 2017;Dias et al, 2019;Peçanha et al, 2019;Penna et al, 2019;Penna and Lupinacci, 2021). Acoustic impedance data has also been frequently used for the classification of multi-attribute seismic facies in presalt carbonate reservoirs (Jesus et al, 2019;Ferreira et al, 2019;Ferreira et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…This is because lithologies with different porosities present, in many cases, similar values of acoustic impedance. Several works address this problem and discuss alternatives to get around it (Teixeira et al, 2017;Castro e Lupinacci, 2019;Dias et al, 2019;Mello, 2020;Penna and Lupinacci, 2020;Penna and Lupinacci, 2021). This work aims to correlate the values of acoustic impedance with the values of effective porosity from well logs, in a scale compatible with the acoustic impedance volume, to evaluate the feasibility for future modeling of reservoir properties, and to evaluate the types of electrofacies that can be distinguished in a future classification of multi-attribute seismic facies.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the relationship between acoustic impedance and porosity in a presalt carbonate reservoir of the Santos Basin

2021

Proceeding of the 17th International Congress of the Brazilian Geophysical

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The carbonate reservoirs in the Santos Basin presalt are of great importance in the national oil production scenario, being currently the most prolific source of oil in Brazil, with accumulations of excellent production, quality and high commercial value. Quantitative seismic interpretation assists in the characterization of these reservoirs of high geological complexity and in the challenges related to seismic imaging, making the bridge between variations in seismic amplitude and changes in rock properties. The present work aims to understand the relationships between acoustic impedance, porosity and clay volume through the definition of electrofacies. The crossplots and probability density functions (PDF) built for the electrofacies from the well data with the upscale showed a good correlation between the values of acoustic impedance and effective porosity when considering the reservoir, tight carbonate and igneous electrofacies, but it is difficult to distinguish between muddy and reservoir electrofacies. This work intended to evaluate the feasibility of using an acoustic impedance volume for future modeling of reservoir properties, and to evaluate the types of electrofacies that can be distinguished in a future classification of multiattribute seismic facies.

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Section: Resultssupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Understanding the relationship between acoustic impedance and porosity in a presalt carbonate reservoir of the Santos Basin

2021

Proceeding of the 17th International Congress of the Brazilian Geophysical

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Unsupervised machine learning for seismic facies classification applied in presalt carbonate reservoirs of the Búzios Field, Brazil

Barretto

Macedo

Lupinacci

et al. 2022

Second International Meeting for Applied Geoscience &Amp; Energy

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Geostatistics assisted by machine learning for reservoir property modeling: A case study in presalt carbonates of Buzios Field, Brazil

Ferreira

Oliveira²,

Castro

et al. 2021

The Leading Edge

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An embedded model estimator (EMBER) petrophysical modeling algorithm has been applied to obtain effective porosity and permeability within the presalt carbonate reservoirs of the Barra Velha Formation in Buzios Field, Santos Basin. This advanced methodology was used due to the heterogeneity and complexity of the reservoirs, which makes modeling by conventional geostatistical methodologies difficult. For effective porosity modeling, we chose one facies model, one stratigraphic seismic attribute (acoustic impedance), and one structural seismic attribute (local flatness) as secondary variables. Permeability was modeled by using the best effective porosity simulation result as a secondary variable. Our results demonstrate that average effective porosity and permeability were 0.10 v/v and 440 md, respectively, indicating good reservoir quality throughout the studied area. A vertical trend of high effective porosities and permeabilities for the basal and uppermost reservoir sections was identified in our results, as well as a trend with lower values for these reservoir properties for the intermediate reservoir section. The lower section of the formation presented more continuity, and we infer it to be the best reservoir interval. We observed two horizontal trends for these reservoir properties at the formation top: one of higher values aligned to the north–south direction at the structural highs and another of lower reservoir properties related to isolated structural lows within structural highs. Correlation between modeled results and the blind test ANP-1 well upscaled properties was high, and upscaled well-log property distributions were preserved in the EMBER simulations, proving the predictive capacity of the algorithm. Finally, conditional distributions analysis indicated that the basal section of the Barra Velha Formation presents higher uncertainty for the estimation of effective porosity. Even though this interval is considered to have the best reservoir characteristics, decision making should be done with caution for this section.

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Understanding the relationship between acoustic impedance and porosity in the presalt of the Buzios Field, Santos Basin

Cited by 3 publications

References 0 publications

Understanding the relationship between acoustic impedance and porosity in a presalt carbonate reservoir of the Santos Basin

Understanding the relationship between acoustic impedance and porosity in a presalt carbonate reservoir of the Santos Basin

Unsupervised machine learning for seismic facies classification applied in presalt carbonate reservoirs of the Búzios Field, Brazil

Geostatistics assisted by machine learning for reservoir property modeling: A case study in presalt carbonates of Buzios Field, Brazil

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