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  1.  20
    mCSEM Data Interpretation for Hydrocarbon Exploration: A Fast Interpretation Workflow for Drilling Decision.Marco Polo P. Buonora, Jorlivan L. Correa, Luciano S. Martins, Paulo T. L. Menezes, Emanuel J. C. Pinho, Joao L. Silva Crepaldi, Mirela P. P. Ribas, Sergio M. Ferreira & Rafael C. Freitas - 2014 - Interpretation: SEG 2 (3):SH1-SH11.
    In a hydrocarbon exploration workflow, marine controlled-source electromagnetic data are usually acquired after seismic interpretation for prospect identification and close-to-the-drilling decision making. Therefore, the mCSEM interpreter must provide quick answers to the asset teams in a way that the EM interpretation can add value to that decision. To achieve that goal, Petrobras developed a fast-track mCSEM interpretation workflow that consists in identifying anomalies in the mCSEM data set by frequency normalization, and then performing 1D CMP inversions followed by 2.5D polygonal (...)
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  2.  29
    Tectonic Framework of the Barra de São João Graben, Campos Basin, Brazil: Insights From Gravity Data Interpretation.Leandro B. Adriano, Paulo T. L. Menezes & Alan S. Cunha - 2014 - Interpretation: SEG 2 (4):SJ65-SJ74.
    The Barra de São João Graben, shallow water Campos Basin, is part of the Cenozoic rift system that runs parallel to the Brazilian continental margin. This system was formed in an event that caused the reactivation of the main Precambrian shear zones of southeastern Brazil in the Paleocene. We proposed a new structural framework of BSJG based on gravity data interpretation. Magnetic data, one available 2D seismic line, and a density well-log of a nearby well were used as constraints to (...)
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  3.  12
    High-Resolution Acoustic Impedance Inversion to Characterize Turbidites at Marlim Field, Campos Basin, Brazil.Tatiane M. Nascimento, Paulo T. L. Menezes & Igor L. Braga - 2014 - Interpretation: SEG 2 (3):T143-T153.
    Seismic inversion is routinely used to determine rock properties, such as acoustic impedance and porosity, from seismic data. Nonuniqueness of the solutions is a major issue. A good strategy to reduce this inherent ambiguity of the inversion procedure is to introduce stratigraphic and structural information a priori to better construct the low-frequency background model. This is particularly relevant when studying heterogeneous deepwater turbidite reservoirs that form prolific, but complex, hydrocarbon plays in the Brazilian offshore basins. We evaluated a high-resolution inversion (...)
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  4.  12
    Broadband Marine Controlled-Source Electromagnetic for Subsalt and Around Salt Exploration.Andrea Zerilli, Marco P. Buonora, Paulo T. L. Menezes, Tiziano Labruzzo, Adriano J. A. Marçal & João L. Silva Crepaldi - 2016 - Interpretation: SEG 4 (4):T521-T531.
    Salt basins, mainly Tertiary basins with mobilized salt, are notoriously difficult places to explore because of the traditionally poor seismic images typically obtained around and below salt bodies. In areas where the salt structures are extremely complex, the seismic signal-to-noise ratio may still be limited and, therefore, complicate the estimation of the velocity field variations that could be used to migrate the seismic data correctly and recover a good image suitable for prospect generation. We have evaluated the results of an (...)
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  5.  6
    High-Resolution Facies Modeling of Presalt Lacustrine Carbonates Reservoir Analog: Morro Do Chaves Formation Example, Sergipe-Alagoas Basin, Brazil.Paulo T. L. Menezes, Jandyr M. Travassos, Marco A. M. Medeiros & Patricia Takayama - 2016 - Interpretation: SEG 4 (2):SE63-SE74.
    Barremian lacustrine carbonates, mainly coquinas, are the reservoir rocks of the large presalt petroleum discoveries in deep to ultradeepwaters, at the southeast Brazilian margin, namely, the Santos, Campos, and Espirito Santo Basins. The complex geologic setting of those discoveries, with massive overburden of salt bodies, makes the seismic imaging of the carbonate reservoirs an expensive and challenging issue. In this setting, accurate facies models are a requirement to the predictability of the carbonate reservoir intervals. We have developed an analog high-resolution (...)
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  6.  11
    Connecting Onshore-Offshore Campos Basin Structures: Interpretation of High-Resolution Airborne Magnetic Data.Juarez Lourenço, Paulo T. L. Menezes & Valeria C. F. Barbosa - 2014 - Interpretation: SEG 2 (4):SJ35-SJ45.
    We interpreted northwest-trending transfer faults whose extensions are not entirely mapped in the Precambrian basement of the onshore and offshore Campos Basin. To enhance the subtle northwest–southeast lineaments not clearly seen in the total-field data, we reprocessed and merged two airborne magnetic data sets aiming at producing a single merged magnetic data set. Next, we applied a directional filter to these integrated magnetic data. Finally, we applied a multiscale edge detection method to these filtered data. This combination allowed the detection (...)
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  7.  27
    Jequitinhonha Basin: Structural Aspects, Relationship with Igneous Activity, and Hydrocarbon Exudations.Leandro B. Adriano, Paulo T. L. Menezes, Manuela S. Adriano, Alan S. Cunha, Marlon H. Cabrera, Daniel S. Silva & Luiz P. Moura - 2018 - Interpretation: SEG 6 (1):T51-T60.
    The Jequitinhonha Basin is one of the sedimentary basins in the Brazilian Eastern Margin. Although several regional studies have been conducted to define its tectonic framework and petroleum system, neither one is very well-understood. For instance, the extent and influence of the volcanic rocks in the petroleum system of the JB are still matters of debate among geoscientists. We found a new integrated interpretation for the structural framework of JB in which we discover the major faults, the mapped volcanics, and (...)
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  8.  4
    Multiphysics Anomaly Map: A New Data Fusion Workflow for Geophysical Interpretation.Julio Cesar S. O. Lyrio, Paulo T. L. Menezes, Jorlivan L. Correa & Adriano R. Viana - 2020 - Interpretation 8 (2):B35-B43.
    When collecting and processing geophysical data for exploration, the same geologic feature can generate a different response for each rock property being targeted. Typically, the units of these responses may differ by several orders of magnitude; therefore, the combination of geophysical data in integrated interpretation is not a straightforward process and cannot be performed by visual inspection only. The multiphysics anomaly map that we have developed is a data fusion solution that consists of a spatial representation of the correlation between (...)
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  9.  8
    3D Magnetotelluric Exploration of Sete Cidades Volcano, São Miguel Island, Azores.Paulo T. L. Menezes, Jandyr M. Travassos, Adriano J. A. Marçal & Fernando A. Monteiro Santos - 2017 - Interpretation: SEG 5 (2):T219-T230.
    Geothermal energy accounts for 43% of the electricity expenditure of São Miguel Island, Azores Archipelago. All production comes from the Ribeira Grande high-enthalpy geothermal field. To meet the growing energy demand in the island, it is necessary to extend the exploration efforts to new areas. We evaluated the results of a broadband magnetotelluric reconnaissance survey conducted at Sete Cidades Volcano, placed only 30 km westward of the RG field. The resistivity structure of the Sete Cidades geothermal system was obtained through (...)
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  10.  6
    A New Petrophysical Joint Inversion Workflow: Advancing on Reservoir’s Characterization Challenges.Fabio Miotti, Andrea Zerilli, Paulo T. L. Menezes, João L. S. Crepaldi & Adriano R. Viana - 2018 - Interpretation: SEG 6 (3):SG33-SG39.
    Reservoir characterization objectives are to understand the reservoir rocks and fluids through accurate measurements to help asset teams develop optimal production decisions. Within this framework, we develop a new workflow to perform petrophysical joint inversion of seismic and controlled-source electromagnetic data to resolve for reservoirs properties. Our workflow uses the complementary information contained in seismic, CSEM, and well-log data to improve the reservoir’s description drastically. The advent of CSEM, measuring resistivity, brought the possibility of integrating multiphysics data within the characterization (...)
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