Search Results - "Davólio, Alessandra"

Time series causal relationships discovery through feature importance and ensemble models by Castro, Manuel, Mendes Júnior, Pedro Ribeiro, Soriano-Vargas, Aurea, de Oliveira Werneck, Rafael, Moreira Gonçalves, Maiara, Lusquino Filho, Leopoldo, Moura, Renato, Zampieri, Marcelo, Linares, Oscar, Ferreira, Vitor, Ferreira, Alexandre, Davólio, Alessandra, Schiozer, Denis, Rocha, Anderson

“…Inferring causal relationships from observational data is a key challenge in understanding the interpretability of Machine Learning models. Given the…”
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Rock-type classification: A (critical) machine-learning perspective by Ribeiro Mendes, Pedro, Salavati, Soroor, Linares, Oscar, Moreira Gonçalves, Maiara, Ferreira Zampieri, Marcelo, de Sousa Ferreira, Vitor Hugo, Castro, Manuel, de Oliveira Werneck, Rafael, Moura, Renato, Morais, Elayne, Esmin, Ahmed, Lusquino, Leopoldo, Schiozer, Denis José, Ferreira, Alexandre, Davólio, Alessandra, Rocha, Anderson

“…We investigate machine-learning techniques for rock-type classification. A throughout literature review (considering the machine-learning technique, number of…”
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Qualitative time-lapse seismic interpretation of Norne Field to assess challenges of 4D seismic attributes by Maleki, Masoud, Davolio, Alessandra, Schiozer, Denis José

“…Interpretation of time-lapse (or 4D) seismic data in terms of reservoir changes due to production posed many challenges in the Norne Field as the field…”
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Investigation of production forecast biases of simulation models in a benchmark case by Botechia, Vinicius Eduardo, Gaspar, Ana Teresa Ferreira da Silva, Avansi, Guilherme Daniel, Davolio, Alessandra, Schiozer, Denis José

“…Reservoir management decisions are often based on simulation models and probabilistic approaches. Thus, the response of the model must be sufficiently accurate…”
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Data-driven deep-learning forecasting for oil production and pressure by Werneck, Rafael de Oliveira, Prates, Raphael, Moura, Renato, Gonçalves, Maiara Moreira, Castro, Manuel, Soriano-Vargas, Aurea, Ribeiro Mendes Júnior, Pedro, Hossain, M. Manzur, Zampieri, Marcelo Ferreira, Ferreira, Alexandre, Davólio, Alessandra, Schiozer, Denis, Rocha, Anderson

“…Production forecasting plays an important role in oil and gas production, aiding engineers to perform field management. However, this can be challenging for…”
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A multi-modal approach for mixed-frequency time series forecasting by Filho, Leopoldo Lusquino, de Oliveira Werneck, Rafael, Castro, Manuel, Ribeiro Mendes Júnior, Pedro, Lustosa, Augusto, Zampieri, Marcelo, Linares, Oscar, Moura, Renato, Morais, Elayne, Amaral, Murilo, Salavati, Soroor, Loomba, Ashish, Esmin, Ahmed, Gonçalves, Maiara, Schiozer, Denis José, Ferreira, Alexandre, Davólio, Alessandra, Rocha, Anderson

“…This study proposes a novel multimodal approach for mixed-frequency time series forecasting in the oil industry, enabling the use of high-frequency (HF) data…”
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A visual analytics approach to anomaly detection in hydrocarbon reservoir time series data by Soriano-Vargas, Aurea, Werneck, Rafael, Moura, Renato, Mendes Júnior, Pedro, Prates, Raphael, Castro, Manuel, Gonçalves, Maiara, Hossain, Manzur, Zampieri, Marcelo, Ferreira, Alexandre, Davólio, Alessandra, Hamann, Bernd, Schiozer, Denis José, Rocha, Anderson

“…Detecting anomalies in time series data of hydrocarbon reservoir production is crucially important. Anomalies can result for different reasons: gross errors,…”
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Probabilistic seismic history matching using binary images by Davolio, Alessandra, Schiozer, Denis Jose

“…Currently, the goal of history-matching procedures is not only to provide a model matching any observed data but also to generate multiple matched models to…”
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Impact of 4D Seismic Data Assimilation in the Production Forecasting of a Heavy Oil Turbidite Sandstone Field Offshore Brazil by Silva, Felipe Bruno Mesquita, Davolio, Alessandra, Schiozer, Denis José

“…The incorporation of 4D seismic data can be done at model characterization and data assimilation steps, the latter applying the observed data to update the…”
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Quantitative integration of 3D and 4D seismic impedance into reservoir simulation model updating in the Norne Field by Maleki, Masoud, Davolio, Alessandra, Schiozer, Denis José

“…ABSTRACT The ultimate goal of reservoir simulation in reservoir surveillance technology is to estimate long‐term production forecasting and to plan development…”
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A machine‐learning framework to estimate saturation changes from 4D seismic data using reservoir models by Maleki, Masoud, Cirne, Marcos, Schiozer, Denis José, Davolio, Alessandra, Rocha, Anderson

“…Time‐lapse seismic (four‐dimensional seismic) data play a preeminent role in closed‐loop reservoir management by providing a full‐field image of dynamic…”
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A synthetic case study of measuring the misfit between 4D seismic data and numerical reservoir simulation models through the Momenta Tree by Soriano-Vargas, Aurea, Rollmann, Klaus, Almeida, Forlan, Davolio, Alessandra, Hamann, Bernd, Schiozer, Denis J., Rocha, Anderson

“…Data assimilation is an important and time-consuming process in petroleum reservoir numerical simulation. It produces a set of calibrated models used to…”
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Convolutional Neural Network Formulation to Compare 4-D Seismic and Reservoir Simulation Models by Rollmann, Klaus, Soriano-Vargas, Aurea, Almeida, Forlan, Davolio, Alessandra, Schiozer, Denis Jose, Rocha, Anderson

“…We propose a novel approach based on Deep Learning methods using a convolutional neural networks (CNNs) to compare observed four-dimensional (4-D) seismic data…”
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Analysis of time-lapse seismic and production data for reservoir model classification and assessment by Souza, Rafael, Lumley, David, Shragge, Jeffrey, Davolio, Alessandra, Schiozer, Denis José

“…The heterogeneous distribution of reservoir properties is one of the most important uncertainties in static and dynamic reservoir modelling. Petrophysical…”
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Performance assessment of an iterative ensemble smoother with local analysis to assimilate big 4D seismic datasets applied to a complex pre-salt-like benchmark case by Maschio, Célio, Silva Neto, Gilson Moura, Davolio, Alessandra, Rios, Vinicius de Souza, Schiozer, Denis José

“…Abstract The use of 4D seismic (4DS) (or time-lapse seismic, TLS) in data assimilation (DA) makes the process more complex due to the higher amount of data to…”
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Comparing different approaches of time-lapse seismic inversion by Rosa, Daiane R, Santos, Juliana M C, Souza, Rafael M, Grana, Dario, Schiozer, Denis J, Davolio, Alessandra, Wang, Yanghua

“…Abstract Time-lapse (4D) seismic inversion aims to predict changes in elastic rock properties, such as acoustic impedance, from measured seismic amplitude…”
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The impact of rock and fluid uncertainties in the estimation of saturation and pressure from a 4D petro elastic inversion by Pazetti, Bruno, Davolio, Alessandra, Schiozer, Denis J

“…The integration of 4D seismic (4DS) attributes and reservoir simulation is used to reduce risks in the management of petroleum fields. One possible alternative…”
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Impact of model and data resolutions in 4D seismic data assimilation applied to an offshore reservoir in Brazil by Rosa, Daiane Rossi, Schiozer, Denis Jose, Davolio, Alessandra

“…Data assimilation is the process where reservoir models are calibrated using dynamic data. The goal is to reduce uncertainties related to reservoir properties…”
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A methodology to constrain pressure and saturation estimation from 4D seismic using multiple simulation models and observed data by DAVOLIO, Alessandra, MASCHIO, Célio, SCHIOZER, Denis José

“…The use of time-lapse seismic data to improve reservoir characterization is becoming a common practice in the oil industry. Nevertheless, the integration of…”
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3D seismic data assimilation to reduce uncertainties in reservoir simulation considering model errors by Silva Neto, Gilson M., Davolio, Alessandra, Schiozer, Denis J.

“…Decisions in petroleum reservoir management usually involve high level of uncertainties. Therefore, information of different types is used to calibrate…”
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