ANTONIO FERNANDO MENEZES FREIRE

Scopus Publications

A data-driven approach to predict fracture intensity using machine learning for presalt carbonate reservoirs: A feasibility study in the Mero Field, Santos Basin, Brazil
Eberton Rodrigues de Oliveira Neto, Fábio Júnior Damasceno Fernandes, Tuany Younis Abdul Fatah, Raquel Macedo Dias, Zoraida Roxana Tejada da Piedade, Antonio Fernando Menezes Freire, Wagner Moreira Lupinacci
Energy Geoscience, 2025
Predicting fracture intensity is essential for optimising reservoir production and mitigating drilling risks in the Brazilian pre-salt layer. However, previous studies rely excessively on conceptual models and typically do not integrate multiple types of data to perform such task. Moreover, to date, no feasibility-like studies have assessed the reasonableness of such approaches. We propose a data-driven approach that utilises upscaled well logs (Young's modulus, Poisson's ratio, and silica content) alongside seismic attributes (curvature, distance to fault) to predict fracture intensity. The distance to fault is measured using the fault probability volume estimated by a pre-trained convolutional neural network (CNN). We evaluate the effectiveness of this data-driven approach employing two tree-ensemble models, eXtreme Gradient Boosting (XGBoost) and Random Forest, to estimate the volumetric fracture intensity (P32) in the wells. Regression and residual analyses indicate that XGBoost outperforms Random Forest. Results from feature importance methods, such as permutation importance and Shapley Additive explanations (SHAP), highlight curvature as the most important feature, followed by distance to fault, Young's modulus (or P-Impedance), silica content, and Poisson's ratio. The approach has been validated with rock sampling information and two blind tests. Consequently, we believe this workflow can be applied to other wells in nearby fields. The study offers a valuable tool for quantitatively estimating fracture intensity in pre-salt reservoirs. Future research may use this study as a reference for estimating fracture intensity within a seismic volume. The predicted fracture intensity estimates can enhance the reliability of reservoir porosity models and serve as a geohazard indicator to mitigate drilling risks. • Evaluate two tree-ensemble methods to predict fracture intensity in the Barra Velha Fm. • XGBoost outperformed Random Forest regarding regression metrics. • k1 curvature is most important for the prediction, especially in highly deformed regions. • For less deformed regions, P-Impedance holds vital information for estimating fractures. • P-Impedance can replace Young's modulus as an indicator of rock brittleness.
An integrated approach to characterize diabase sills in Parnaíba Basin, based on geochemical data, cuttings description, and well logs interpretation
Bruna Maia Imbuzeiro, Filipe Vidal, Bruno de Sá Nobre da Rocha, Carla Semiramis Silveira, Wagner Moreira Lupinacci, Victor Salgado-Campos, Antonio Fernando Menezes Freire
Journal of South American Earth Sciences, 2025
Characterization of subaerial lava flows of the presalt strata in the Santos Basin based on basic well logs
Filipe Vidal Cunha Santa Rosa Soares de Oliveira, Isabela de Oliveira Carmo, Juliana Costa, Bruno Tosta Bittencourt, Wagner Moreira Lupinacci, Antonio Fernando Menezes Freire
Journal of South American Earth Sciences, 2024
Stochastic seismic inversion and Bayesian facies classification applied to porosity modeling and igneous rock identification
Fábio Júnior Damasceno Fernandes, Leonardo Teixeira, Antonio Fernando Menezes Freire, Wagner Moreira Lupinacci
Petroleum Science, 2024
We apply stochastic seismic inversion and Bayesian facies classification for porosity modeling and igneous rock identification in the presalt interval of the Santos Basin. This integration of seismic and well-derived information enhances reservoir characterization. Stochastic inversion and Bayesian classification are powerful tools because they permit addressing the uncertainties in the model. We used the ES-MDA algorithm to achieve the realizations equivalent to the percentiles P10, P50, and P90 of acoustic impedance, a novel method for acoustic inversion in presalt. The facies were divided into five: reservoir 1, reservoir 2, tight carbonates, clayey rocks, and igneous rocks. To deal with the overlaps in acoustic impedance values of facies, we included geological information using a priori probability, indicating that structural highs are reservoir-dominated. To illustrate our approach, we conducted porosity modeling using facies-related rock-physics models for rock-physics inversion in an area with a well drilled in a coquina bank and evaluated the thickness and extension of an igneous intrusion near the carbonate-salt interface. The modeled porosity and the classified seismic facies are in good agreement with the ones observed in the wells. Notably, the coquinas bank presents an improvement in the porosity towards the top. The a priori probability model was crucial for limiting the clayey rocks to the structural lows. In Well B, the hit rate of the igneous rock in the three scenarios is higher than 60%, showing an excellent thickness-prediction capability.
Cycle-consistent convolutional neural network for seismic impedance inversion: An application for high-resolution characterization of turbidites reservoirs
Fábio Júnior Damasceno Fernandes, Eberton Rodrigues de Oliveira Neto, Leonardo Teixeira, Antonio Fernando Menezes Freire, Wagner Moreira Lupinacci
Geoenergy Science and Engineering, 2024
PETROPHYSICAL EVALUATION OF ARKOSES RESERVOIRS BASED ON WELL LOGS AND PLUG SAMPLES: A CASE STUDY FROM ALAGAMAR FORMATION, SOUTHEASTERN PORTION OF ONSHORE POTIGUAR BASIN, BRAZIL
Victor Ferreira, Antonio Fernando Menezes Freire, Wagner Moreira Lupinacci
Revista Brasileira De Geofisica, 2024
The Potiguar Basin is a sedimentary basin located in northeastern Brazil. It covers about 48,000 km² and extends from onshore to offshore. The onshore basin is thought to have formed during the Late Cretaceous, as a result of the opening of the Equatorial South Atlantic Ocean, filled with a thick sequence of sedimentary rocks, including sandstones, shales, and limestones, which were deposited in a variety of processes, including marine, deltaic, and fluvial. The study area is in the southern portion of the basin and the reservoir is composed of arkose sandstones deposited by alluvial fan and fluvial systems of the Upanema Member of the Alagamar Formation, which belongs to the post-rift phase of the Potiguar Basin. Recently, new drilling campaigns revealed a reservoir heterogeneity in these deposits, which requested a new petrophysical approach. Using conventional well logs and petrophysical laboratory analysis of plug samples, this study evaluated the best way to calculate the effective porosity, and shale volume and to understand the stratigraphic controls in the distribution of these properties. Three reservoir zones were mapped: the basal one, Zone 3, has disconnected sand bodies, low porosity, and high shale content; Zone 2 has better petrophysical properties, lateral distribution, and connectivity between the fans and Zone 1 is the better reservoir zone with larger sand bodies, higher porosity values, and well-connected fans.
A multi-proxy approach for paleoenvironmental insights and operational improvements: A study case in Campos Basin, Brazil
85th Eage Annual Conference and Exhibition 2024, 2024
Curvature analysis and its correlation with faults and fractures in presalt carbonates, Santos Basin, Brazil
Eberton Rodrigues de Oliveira Neto, Tuany Younis Abdul Fatah, Raquel Macedo Dias, Antonio Fernando Menezes Freire, Wagner Moreira Lupinacci
Marine and Petroleum Geology, 2023
Analysis of alternative strategies applied to Naïve-Bayes classifier into the recognition of electrofacies: Application in well-log data at Recôncavo Basin, North-East Brazil
Mario Martins Ramos, Rodrigo Bijani, Fernando Vizeu Santos, Wagner Moreira Lupinacci, Antonio Fernando Menezes Freire
Geoenergy Science and Engineering, 2023
Controls of fracturing on porosity in pre-salt carbonate reservoirs
Wagner Moreira Lupinacci, Tuany Younis Abdul Fatah, Maria Cordeiro do Carmo, Antonio Fernando Menezes Freire, Luiz Antonio Pierantoni Gamboa
Energy Geoscience, 2023
This work aims to improve the understanding of how fracture zones affect carbonate reservoir properties based on observations of a pre-salt well located in the Santos Basin, Brazil. The identification of fracture zones allowed for the observation of a relationship between the occurrence of rock fractures and the silicification, as the latter plays an important role in determining porosity (higher silica content may increase brittleness of the rocks therefore increasing the likelihood of creating fractures zones and fractures may be filled up reducing the total porosity). To support the proposed observation, an integrated study was conducted using borehole imaging, spectroscopy logs, and sidewall core samples. The porosities were defined using nuclear magnetic resonance log analysis, alongside sidewall core samples, and thin sections. The integration of rock samples and well data with seismic analysis was performed to analyze the presence of a regional fault system that could explain high fracture densities as well as observed silica content characteristics. The results show how different types of cement filling up the formation pores affect fracture densities and total porosity. Furthermore, it was possible to infer that the amount of silica content observed in well logs and thin sections relates to hydrothermal fluids reaching out the reservoir through regional fault systems detected in the seismic section. Therefore, this paper supports the comprehension of how diagenetic processes can significantly affect the properties of pre-salt reservoirs.
The importance of a priori models in the Bayesian facies classification in carbonate reservoirs
84th Eage Annual Conference and Exhibition, 2023
ANALYSIS OF SEISMIC ATTRIBUTES TO ENHANCE A BOTTOM SIMULATING REFLECTOR (BSR) IN THE GAS HYDRATE AREA OF UMITAKA SPUR, EASTERN MARGIN OF JAPAN SEA
Eloíse Helena Policarpo Neves, Cleverson Guizan Silva, Ryo Matsumoto, Antonio Fernando Menezes Freire
Revista Brasileira De Geofisica, 2022
MODELING OF RESERVOIR PROPERTIES USING SEISMIC ATTRIBUTES AND EVALUATION OF WELL LOGS: A CASE STUDY IN BAUNA AND PIRACABA OIL FIELDS, SANTOS BASIN, BRAZIL
Wagner Moreira Lupinacci, Ana Schanzembach, Antonio Fernando Menezes Freire
Revista Brasileira De Geofisica, 2021
Identification and analysis of bottom simulating reflectors in the Foz do Amazonas Basin, Northern Brazil
Laisa da Fonseca Aguiar, Antonio Fernando Menezes Freire, Cleverson Guizan Silva, Wagner Moreira Lupinacci
Brazilian Journal of Geology, 2021
Convolutional neural network for prediction of igneous seismic facies in the Santos Basin Pre-Salt
2nd Eage Conference on Pre Salt Reservoir, 2021
ACQUISITION OF SPECTRAL GAMMA-RAY DATA FROM CUTTINGS, WITH APPLICATION IN THE PALEOENVIRONMENTAL INTERPRETATION OF THE CABEÇAS FORMATION, PARNAÍBA BASIN, BRAZIL
Ricardo de Melo Pereira, Jeniffer Alves Nobre, Carlos Augusto Franco Saraiva, Roberto Salvador Francisco DAvila, Fernando Menezes Freire
Revista Brasileira De Geofisica, 2021
Quaternary warming and cooling trends in the Bransfield Basin, Antarctic Peninsula, based on gamma-ray spectrometry
Jeniffer Alves Nobre, Antonio Fernando Menezes Freire, Arthur Ayres Neto, Mateus dos Santos Martins, Cleverson Guizan Silva, Rosemary Vieira
Geo Marine Letters, 2020
Recognition of turbidite stages in the Massapê oil field, Recôncavo Basin - Brazil, using well logs
Antonio Fernando Menezes Freire, Gabriel Fernando Rocha dos Santos, Carolina Ferreira da Silva, Wagner Moreira Lupinacci
Journal of Petroleum Science and Engineering, 2020
Diffraction velocity analysis in a single-channel seismic survey in the Joetsu Basin
Luiz Alberto Santos, Eloise Helena Policarpo Neves, Antônio Fernando Menezes Freire, Marco Antônio Cetale Santos, Ryo Matsumoto, Claudia M. I. Ajus
Geophysics, 2020
An integrated approach for carbonate reservoir characterization: A case study from the Linguado Field, Campos Basin
Wagner Moreira Lupinacci, Livia de Moura Spagnuolo Gomes, Danilo Jotta Ariza Ferreira, Rodrigo Bijani, Antonio Fernando Menezes Freire
Brazilian Journal of Geology, 2020
A workflow for reservoir characterization applied to presalt coquinas from the Linguado Field, Campos Basin, Brazil
Alessandra Alves Peçanha, Wagner Moreira Lupinacci, Danilo Jotta Ariza Ferreira, Antonio Fernando Menezes Freire
Journal of Petroleum Science and Engineering, 2019
Characterization of subaerial volcanic facies using acoustic image logs: Lithofacies and log-facies of a lava-flow deposit in the Brazilian pre-salt, deepwater of Santos Basin
Sofia Alves Fornero, Gabriel Medeiros Marins, Janaina Teixeira Lobo, Antonio Fernando Menezes Freire, Evandro Fernandes de Lima
Marine and Petroleum Geology, 2019
Analysis of seismic attributes to recognize bottom simulating reflectors in the foz do amazonas basin, Northern Brazil
Laisa da Fonseca Aguiar, Antonio Fernando Menezes Freire, Luiz Alberto Santos, Ana Carolina Ferreira Dominguez, Eloíse Helena Policarpo Neves, Cleverson Guizan Silva, Marco Antonio Cetale Santos
Revista Brasileira De Geofisica, 2019
A giant oil seep at a salt-induced escarpment of the São Paulo Plateau, Espírito Santo Basin, off Brazil: Host rock characteristics and geochemistry
Antonio Fernando Menezes Freire, Juliana Andrade Iemini, Adriano Roessler Viana, Luciano Portugal Magnavita, Nolan Maia Dehler, Renato Oscar Kowsmann, Dennis James Miller, Sabrina Helena Diniz Gilaberte Bezerra, Geise de Santana dos Anjos Zerfass, Seirin Shimabukuro, Marcos Nóbrega II
Deep Sea Research Part II Topical Studies in Oceanography, 2017
The influence of methane fluxes on the sulfate/methane interface in sediments from the Rio Grande Cone Gas Hydrate Province, southern Brazil
Luiz Frederico Rodrigues, João Marcelo Ketzer, Rogerio Véscia Lourega, Adolpho Herbert Augustin, Gesiane Sbrissa, Dennis Miller, Roberto Heemann, Adriano Viana, Antonio Fernando Menezes Freire, Sadoon Morad
Brazilian Journal of Geology, 2017
Fluid escape structures as possible indicators of past gas hydrate dissociation during the deposition of the Barremian sediments in the Recôncavo Basin, NE, Brazil
Antonio Fernando Menezes Freire, Carlson de Matos Maia Leite, Flávio Miranda de Oliveira, Márcio Ferreira Guimarães, Paulo da Silva Milhomem, Raphael Pietzsch, Roberto Salvador Francisco d’Ávila
Brazilian Journal of Geology, 2017
Discovery of a chemosynthesis-based community in the western South Atlantic Ocean
Adriana Giongo, Taiana Haag, Taiz L. Lopes Simão, Renata Medina-Silva, Laura R.P. Utz, Maurício R. Bogo, Sandro L. Bonatto, Priscilla M. Zamberlan, Adolpho H. Augustin, Rogério V. Lourega, Luiz F. Rodrigues, Gesiane F. Sbrissa, Renato O. Kowsmann, Antonio F.M. Freire, Dennis J. Miller, Adriano R. Viana, João M.M. Ketzer, Eduardo Eizirik
Deep Sea Research Part I Oceanographic Research Papers, 2016
Natural gas hydrates in the Rio Grande Cone (Brazil): A new province in the western South Atlantic
Dennis J. Miller, João Marcelo Ketzer, Adriano R. Viana, Renato O. Kowsmann, Antonio Fernando M. Freire, Sergio G. Oreiro, Adolpho H. Augustin, Rogerio V. Lourega, Luiz F. Rodrigues, Roberto Heemann, Adriane G. Preissler, Claudia X. Machado, Gesiane F. Sbrissa
Marine and Petroleum Geology, 2015
The narrow, shallow, low-accommodation shelf of central Brazil: Sedimentology, evolution, and human uses
José Maria Landim Dominguez, Rian Pereira da Silva, Alina Sá Nunes, Antonio Fernando Menezes Freire
Geomorphology, 2013
Structural-stratigraphic control in the distribution of gas hydrate and free-gas at the umitaka anticline, Joetsu Basin, eastern margin of the Japan Sea
Boletim De Geociencias Da Petrobras, 2012
Structural-stratigraphic control on the Umitaka Spur gas hydrates of Joetsu Basin in the eastern margin of Japan Sea
Antonio Fernando Menezes Freire, Ryo Matsumoto, Luiz Alberto Santos
Marine and Petroleum Geology, 2011
The use of tephras for stratigraphic correlation in the eastern margin of Japan Sea
Boletim De Geociencias Da Petrobras, 2009
The holocene sequence of the central continental shelf of the State of Bahia, Brazil
Boletim De Geociencias Da Petrobras, 2006

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Scopus Publications