Journal Articles
Unlocking Insights from Post-Stack 4D Seismic Inversion and Interpretation: A Case Study of the Tupi Field, Brazilian Pre-Salt
REBELO, T.; MALEKI, M.; DA SILVA, F.; NAYEH, A.; SCHIOZER, D. J.; LOPEZ, J.; DAVOLIO, A. “Unlocking Insights from Post-Stack 4D Seismic Inversion and Interpretation: A Case Study of the Tupi Field, Brazilian Pre-Salt”, The Leading Edge. https://doi.org/10.1190/tle-2025-1056
Saturation and Pressure Change Estimation from Time-Lapse Seismic Data Using Vision Transformers
CIRNE, M. V. M.; MALEKI, M.; DINIZ, M.; SCHIOZER, D. J.; DAVOLIO, A.; ROCHA, A. R. “Saturation and Pressure Change Estimation from Time-Lapse Seismic Data Using Vision Transformers”, Applied Soft Computing, v. 191, pp. 1-20, April, 2026.
Methodology to Feasibility and 4D Interpretation Support in a Pre-Salt Carbonate Reservoir
SILVA, E. P. A.; DAVOLIO, A.; SANTOS, M. S.; SCHIOZER, D. J. “Methodology to Feasibility and 4D Interpretation Support in a Pre-Salt Carbonate Reservoir”, Journal of Applied Geophysics, v. 245, pp. 1-15, February, 2026.
Methodology for 4D Petro-Elastic Modeling including Rock-Fluid Interaction in pre-salt Carbonate Reservoir
SILVA, E. P. A.; DAVOLIO, A.; SANTOS, M. S.; SCHIOZER, D. J. “Methodology for 4D Petro-Elastic Modeling including Rock-Fluid Interaction in pre-salt Carbonate Reservoir”, Brazilian Journal of Geophysics, v. 43, nº 2, pp. 1-17, August, 2025.
Uncertainty Re-parameterization Approach to Calibrate Simulation Models with Production data in a WAG Injection Field
CORREIA, M. G.; MASCHIO, C.; DAVOLIO, A.; SCHIOZER, D. J. “Uncertainty Re-parameterization Approach to Calibrate Simulation Models with Production data in a WAG Injection Field”, Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 47, nº 320, pp. 1-16, May, 2025.
Efficient proxy for Time-Lapse Seismic Forward Modeling using U-Net Encoder-Decoder Approach
DINIZ, M. M.; MALEKI, M.; CIRNE, M.; DANAEI, S.; OLIVEIRA, J. R. D.; SCHIOZER, D. J.; DAVOLIO, A.; ROCHA, A. R. “Efficient proxy for Time-Lapse Seismic Forward Modeling using U-Net Encoder-Decoder Approach”, Computers & Geosciences, v. 196, pp. 1-13, February, 2025.
Carbonate Rock Physics Model using Different Approaches to Estimate Rock Frame Stiffness
DANAEI, S.; MALEKI, M.; SCHIOZER, D. J.; DAVOLIO, A. “Carbonate Rock Physics Model using Different Approaches to Estimate Rock Frame Stiffness”, Geoenergy Science and Engineering, v. 244, pp. 1-12, January, 2025.
Pore Type and Aspect Ratio Prediction – A Known Parameter for Seismic Monitoring Strategies- and the Pre-Salt Reservoir Carbonatic Rocks Application
SILVA, E. P. A.; DAVOLIO, A.; SANTOS, M. S.; SCHIOZER, D. J. “Pore Type and Aspect Ratio Prediction – A Known Parameter for Seismic Monitoring Strategies- and the Pre-Salt Reservoir Carbonatic Rocks Application”, Brazilian Journal of Geophysics, v. 42, nº 3, pp. 1-15, December, 2024.
A Multi-Modal Approach for Mixed-Frequency Time Series Forecasting
LUSQUINO FILHO, L. A. D.; WERNECK, R.; CASTRO, M.; MENDES JUNIOR, P.; LUSTOSA, A.; ZAMPIERI, M. F.; LINARES, O.; MOURA, R.; MORAIS, E.; AMARAL, M.; SALAVATI, S.; LOOMBA, A. K.; ESMIN, A.; GONCALVES, M. M.; SCHIOZER, D. J.; FERREIRA, A. M.; DAVOLIO, A.; ROCHA, A. R. “A Multi-Modal Approach for Mixed-Frequency Time Series Forecasting”, Neural Computing and Applications, v. 36, pp. 21581–21605, December, 2024.
Methodology to Calibrate Weight between Production and 4D Seismic in Data Assimilation to Improve Reservoir Performance Forecasting
MASCHIO, C.; MALEKI, M.; DAVOLIO, A.; SCHIOZER, D. J. “Methodology to Calibrate Weight between Production and 4D Seismic in Data Assimilation to Improve Reservoir Performance Forecasting”, Geoenergy Science and Engineering, v. 243, pp. 1-23, December, 2024.
Rock-type Classification: A (Critical) Machine-Learning Perspective
MENDES JUNIOR, P. R.; SALAVATI, S.; LINARES, O. C.; GONCALVES, M. M.; ZAMPIERI, M. F.; FERREIRA, V. H. S.; CASTRO, M.; WERNECK, R. O.; MOURA, R.; MORAIS, E.; ESMIN, A.; LUSQUINO, L.; SCHIOZER, D. J.; FERREIRA, A. M.; DAVOLIO, A.; ROCHA, A. R. “Rock-type Classification: A (Critical) Machine-Learning Perspective”, Computers & Geosciences, v. 193, pp. 1-18, November, 2024.
Impact of 4D Seismic Data Assimilation in the Production Forecasting of a Heavy Oil Turbidite Sandstone Field Offshore Brazil
SILVA, F. B. M.; DAVOLIO, A.; SCHIOZER, D. J. “Impact of 4D Seismic Data Assimilation in the Production Forecasting of a Heavy Oil Turbidite Sandstone Field Offshore Brazil”, Brazilian Journal of Geophysics, v. 42, nº 2, pp. 1-22, July, 2024.
Performance Assessment of an Iterative Ensemble Smoother with Local Analysis to Assimilate Big 4D Seismic Dataset Applied to a Complex Pre-Salt-Like Benchmark Case
MASCHIO, C.; SILVA NETO, G. M.; DAVOLIO, A.; RIOS2, V. S.; SCHIOZER, D. J. “Performance Assessment of an Iterative Ensemble Smoother with Local Analysis to Assimilate Big 4D Seismic Dataset Applied to a Complex Pre-Salt-Like Benchmark Case”, Journal of Geophysics and Engineering, v. 21, nº 1, pp. 68-97, February, 2024.
Time Series Causal Relationships Discovery Through Feature Importance and Ensemble Models
CASTRO, M.; MENDES JUNIOR, P. R.; VARGAS, A. S.; WERNECK, R. O.; GONCALVES, M. M.; LUSQUINO FILHO, L.; MOURA, R.; ZAMPIERI, M. F.; LINARES, O.; FERREIRA, V. H. S.; FERREIRA, A. M.; DAVOLIO, A.; SCHIOZER, D. J.; ROCHA, A. R. “Time Series Causal Relationships Discovery Through Feature Importance and Ensemble Models”, Scientific Reports, v. 13, pp. 1-18, July, 2023.
Evaluating the Impact of 4D Seismic Data Artifacts in Data Assimilation
ROSA, D. R.; DAVOLIO, A.; SCHIOZER, D. J. “Evaluating the Impact of 4D Seismic Data Artifacts in Data Assimilation”, Petroleum Geoscience, v. 29, nº 3, pp. 1-16, June, 2023.
Data Assimilation of Production and Multiple 4D Seismic Acquisitions in a Deepwater Field Using Ensemble Smoother with Multiple Data Assimilation
ROSA, D. R.; SCHIOZER, D. J.; DAVOLIO, A. “Data Assimilation of Production and Multiple 4D Seismic Acquisitions in a Deepwater Field Using Ensemble Smoother with Multiple Data Assimilation”, SPE Reservoir Evaluation & Engineering-Reservoir Engineering, v. 26, pp. 1-13, May, 2023.
All-in-One Proxy to Replace 4D Seismic Forward Modeling with Machine Learning Algorithms
DANAEI, S.; CIRNE, M.; MALEKI, M.; SCHIOZER, D. J.; ROCHA, A. R.; DAVOLIO, A. “All-in-One Proxy to Replace 4D Seismic Forward Modeling with Machine Learning Algorithms”, Geoenergy Science and Engineering, v. 222, pp. 1-16, March, 2023.
Integrated Approach to Improve Simulation Models in an Ultra-Deep Heavy Oil Field with 4D Seismic Monitoring
CORREIA, M. G.; MALEKI, M.; SILVA, F. B. M.; DAVOLIO, A.; SCHIOZER, D. J. “Integrated Approach to Improve Simulation Models in an Ultra-Deep Heavy Oil Field with 4D Seismic Monitoring”, Petroleum Geoscience, v. 29, pp. 1-12, February, 2023.
UNISIM-IV: Benchmark Proposal for Light Oil Carbonate Reservoir with High CO2 Content
BOTECHIA, V. E.; CORREIA, M. G.; RIOS, V. S.; DAVOLIO, A.; SANTOS, S. M. G.; HOHENDORFF FILHO, J. C. V.; SCHIOZER, D. J. “UNISIM-IV: Benchmark Proposal for Light Oil Carbonate Reservoir with High CO2 Content”, Brazilian Journal of Petroleum and Gas, v. 16, nº 4, pp. 149-160, December, 2022.
A Machine-Learning Framework to Estimate Saturation Changes From 4D Seismic Data Using Reservoir Models
MALEKI, M.; CIRNE, M. V. M.; SCHIOZER, D. J.; DAVOLIO, A.; ROCHA, A. R. “A Machine-Learning Framework to Estimate Saturation Changes From 4D Seismic Data Using Reservoir Models”, Geophysical Prospecting, v. 70, nº 8, pp. 1388-1409, October, 2022.
Impact of Model and Data Resolutions in 4D Seismic Data Assimilation Applied to an Offshore Reservoir in Brazil
ROSA, D. R.; SCHIOZER, D. J.; DAVOLIO, A. “Impact of Model and Data Resolutions in 4D Seismic Data Assimilation Applied to an Offshore Reservoir in Brazil”, Journal of Petroleum Science and Engineering, v. 216, pp. 1-16, September, 2022.
Enhancing Vertical Resolution with 4D Seismic Inversion
ROSA, D. R.; SCHIOZER, D. J.; DAVOLIO, A. “Enhancing Vertical Resolution with 4D Seismic Inversion”, Journal of Petroleum Science and Engineering, v. 212, pp. 1-12, May, 2022.
Fast Diagnosis of Reservoir Simulation Models Based on 4D Seismic Similarity Indicators
SANTOS, J. M. C.; ROSA, D. R.; SCHIOZER, D. J.; DAVOLIO, A. “Fast Diagnosis of Reservoir Simulation Models Based on 4D Seismic Similarity Indicators”, Journal of Petroleum Science and Engineering, v. 210, pp. 1-14, March, 2022.
Data-Driven Deep-Learning Forecasting for Oil Production and Pressure
WERNECK, R; PRATES, R.; MOURA, R.; GONCALVES, M. M.; CASTRO, M.; VARGAS, A. S.; MENDES JUNIOR, P. R.; HOSSAIN, M.; ZAMPIERI, M. F.; FERREIRA, A. M.; DAVOLIO, A.; SCHIOZER, D. J.; ROCHA, A. R. “Data-Driven Deep-Learning Forecasting for Oil Production and Pressure”, Journal of Petroleum Science and Engineering, v. 210, pp. 1-16, March, 2022.
Substituting Petro-elastic Model with a New Proxy to Assimilate Time-lapse Seismic Data Considering Model Errors
DANAEI, S.; SILVA NETO, G. M.; SCHIOZER, D. J.; DAVOLIO, A. “Substituting Petro-elastic Model with a New Proxy to Assimilate Time-lapse Seismic Data Considering Model Errors”, Journal of Petroleum Science and Engineering, v. 210, pp. 1-18, March, 2022.
Estimation of the Chance of Success of a Four-Dimensional Seismic Project for a Developed Oil Field
GASPAR, A. T. F. S.; SANTOS, S. M. G.; FERREIRA, C. J.; DAVOLIO, A.; SCHIOZER, D. J. “Estimation of the Chance of Success of a Four-Dimensional Seismic Project for a Developed Oil Field”, Computational Geosciences, v. 146, nº 473-486, pp. 2, February, 2022.
A Three-Way Convolutional Network to Compare 4D Seismic Data and Reservoir Simulation Models in Different Domains
ROLLMANN, K.; VARGAS, A. S.; CIRNE, M.; DAVOLIO, A.; SCHIOZER, D. J.; ROCHA, A. R. “A Three-Way Convolutional Network to Compare 4D Seismic Data and Reservoir Simulation Models in Different Domains”, Journal of Petroleum Science and Engineering, v. 208, pp. 1-12, January, 2022.
Assimilating Time-Lapse Seismic Data in the Presence of Significant Spatially Correlated Model Errors
SILVA NETO, G. M.; DAVOLIO, A.; SCHIOZER, D. J. “Assimilating Time-Lapse Seismic Data in the Presence of Significant Spatially Correlated Model Errors”, Journal of Petroleum Science and Engineering, v. 207, pp. 1-19, December, 2021.
A Visual Analytics Approach to Anomaly Detection in Hydrocarbon Reservoir Time Series Data
VARGAS, A. S.; WERNECK, R.; MOURA, R.; MENDES, P.; PRATES, R.; CASTRO, M.; GONCALVES, M. M.; HOSSAIN, M.; ZAMPIERI, M. F.; FERREIRA, A.; DAVOLIO, A.; HAMANN, B.; SCHIOZER, D. J.; ROCHA, A. R. “A Visual Analytics Approach to Anomaly Detection in Hydrocarbon Reservoir Time Series Data”, Journal of Petroleum Science and Engineering, v. 206, pp. 1-15, November, 2021.
Step-Wise Uncertainty Reduction in Time-Lapse Seismic Interpretation using Multi-Attribute Analysis
MALEKI, M.; DANAEI, S.; SILVA, F. B. M.; DAVOLIO, A.; SCHIOZER, D. J. “Step-Wise Uncertainty Reduction in Time-Lapse Seismic Interpretation using Multi-Attribute Analysis”, Petroleum Geoscience, v. 27, nº 3, pp. 1-14, May, 2021.
Convolutional Neural Network Formulation to Compare 4D Seismic and Reservoir Simulation Models
ROLLMANN, K.; VARGAS, A. S.; ALMEIDA, F. L.; DAVOLIO, A.; SCHIOZER, D. J.; ROCHA, A. R. “Convolutional Neural Network Formulation to Compare 4D Seismic and Reservoir Simulation Models”, IEEE Transactions on Systems, Man and Cybernetics: Systems, pp. 1-14, March, 2021.
Subspace Ensemble Randomized Maximum Likelihood with Local Analysis for Time-Lapse Seismic Data Assimilation
SILVA NETO, G. M.; SOARES, R. V.; EVENSEN, G.; DAVOLIO, A.; SCHIOZER, D. J. “Subspace Ensemble Randomized Maximum Likelihood with Local Analysis for Time-Lapse Seismic Data Assimilation”, SPE Journal, v. 1, pp. 1-21, February, 2021.
A Synthetic Case Study of Measuring the Misfit between 4D Seismic Data and Numerical Reservoir Simulation Models through the Momenta Tree
VARGAS, A. S.; ROLLMANN, K.; ALMEIDA, F. L.; DAVOLIO, A.; SCHIOZER, D. J.; ROCHA, A. R. “A Synthetic Case Study of Measuring the Misfit between 4D Seismic Data and Numerical Reservoir Simulation Models through the Momenta Tree”, Computers & Geosciences, v. 145, pp. 1-15, December, 2020.
Comparison of Different Seismic Inversion Approaches for Time-Lapse Interpretation
ROSA, D. R.; SANTOS, J. M. C.; SOUZA, R. M.; GRANA, D.; SCHIOZER, D. J.; DAVOLIO, A.; WANG, Y. “Comparison of Different Seismic Inversion Approaches for Time-Lapse Interpretation”, Journal of Geophysics and Engineering, v. 9, nº 4, pp. 21-31, November, 2020.
Using Petro-elastic Proxy Model to Integrate 4D Seismic in Ensemble Based Data Assimilation
DANAEI, S.; SILVA NETO, G. M.; SCHIOZER, D. J.; DAVOLIO, A. “Using Petro-elastic Proxy Model to Integrate 4D Seismic in Ensemble Based Data Assimilation”, Journal of Petroleum Science and Engineering, v. 194, pp. 1-21, November, 2020.
Improving Fluid Modeling Representation for Seismic Data Assimilation in Compositional Reservoir Simulation
SILVA NETO, G. M.; RIOS, V.S.; DAVOLIO, A.; SCHIOZER, D. J. “Improving Fluid Modeling Representation for Seismic Data Assimilation in Compositional Reservoir Simulation”, Journal of Petroleum Science and Engineering, v. 194, pp. 1-18, November, 2020.
4D Petro-Elastic Modeling Based on a Pre-Salt Well
SILVA, E. P. A.; DAVOLIO, A.; SANTOS, M. S.; SCHIOZER, D. J. “4D Petro-Elastic Modeling Based on a Pre-Salt Well”, Interpretation, v. 8, nº 3, pp. 639-649, August, 2020.
3D Seismic Data Assimilation Considering Model Errors
SILVA NETO, G. M.; DAVOLIO, A.; SCHIOZER, D. J. “3D Seismic Data Assimilation Considering Model Errors”, Journal of Petroleum Science and Engineering, v. 189, pp. 1-12, June, 2020.
Reducing Uncertainties of Reservoir Properties in an Automatized Process Coupled with Geological Modeling Considering Scalar and Spatial Uncertain Attributes
ALMEIDA, F. L.; DAVOLIO, A.; SCHIOZER, D. J. “Reducing Uncertainties of Reservoir Properties in an Automatized Process Coupled with Geological Modeling Considering Scalar and Spatial Uncertain Attributes”, Journal of Petroleum Science and Engineering, v. 189, pp. 1-12, June, 2020.
Systematic Approach to Reduce Uncertainties Assimilating 4D Seismic and Well Data Quantitatively
ALMEIDA, F. L.; DAVOLIO, A.; SCHIOZER, D. J. “Systematic Approach to Reduce Uncertainties Assimilating 4D Seismic and Well Data Quantitatively”, SPE Reservoir Evaluation & Engineering, v. 23, nº 1, pp. 13-29, February, 2020.
Quantitative Integration of 3D and 4D Seismic Impedance Into Reservoir Simulation Model Updating in the Norne Field
MALEKI, M.; DAVOLIO, A.; SCHIOZER, D. J. “Quantitative Integration of 3D and 4D Seismic Impedance Into Reservoir Simulation Model Updating in the Norne Field”, Geophysical Prospecting, v. 67, nº 1, pp. 167-187, January, 2019.
Qualitative Time-lapse Seismic Interpretation of the Norne Field to Assess the Challenges of 4D Seismic Attributes
MALEKI, M.; DAVOLIO, A.; SCHIOZER, D. J. “Qualitative Time-lapse Seismic Interpretation of the Norne Field to Assess the Challenges of 4D Seismic Attributes”, Leading Edge, v. 37, nº 10, pp. 754-762, October, 2018.
Analysis of Time-Lapse Seismic and Production Data for Reservoir Model Classification and Assessment
SOUZA, R. M.; LUMLEY, D.; SHRAGGE, J.; DAVOLIO, A.; SCHIOZER, D. J. “Analysis of Time-Lapse Seismic and Production Data for Reservoir Model Classification and Assessment”, Journal of Geophysics and Engineering, v. 15, nº 4, pp. 1561-1587, August, 2018.
Semiquantitative 4D Seismic Interpretation Integrated with Reservoir Simulation: Application to the Norne Field
SANTOS, J. M. C.; DAVOLIO, A.; SCHIOZER, D. J.; MACBETH, C. “Semiquantitative 4D Seismic Interpretation Integrated with Reservoir Simulation: Application to the Norne Field”, Interpretation, v. 6, nº 3, pp. T601-T611, August, 2018.
Using Simulation and Production Data to Resolve Ambiguity in Interpreting 4D Seismic Inverted Impedance in the Norne Field
MALEKI, M.; DAVOLIO, A.; SCHIOZER, D. J. “Using Simulation and Production Data to Resolve Ambiguity in Interpreting 4D Seismic Inverted Impedance in the Norne Field”, Petroleum Geoscience, v. 24, pp. 335-347, August, 2018.
Investigation of Production Forecast Biases of Simulation Models in a Benchmark Case
BOTECHIA, V. E.; GASPAR, A. T. F. S.; DAVOLIO, A.; AVANSI, G. D.; SCHIOZER, D. J. “Investigation of Production Forecast Biases of Simulation Models in a Benchmark Case”, Oil & Gas Science and Technology, v. 73, pp. 1-12, July, 2018.
Probabilistic Seismic History Matching using Binary Images
DAVOLIO, A.; SCHIOZER, D. J. “Probabilistic Seismic History Matching using Binary Images”, Journal of Geophysics and Engineering, v. 15, nº 1, pp. 261-274, January, 2018.
The Impact of Rock and Fluid Uncertainties in the Estimation of Saturation and Pressure from a 4D Petro Elastic Inversion
PAZETTI, Bruno Albiero; DAVOLIO, Alessandra; SCHIOZER, Denis José. “The Impact of Rock and Fluid Uncertainties in the Estimation of Saturation and Pressure from a 4D Petro Elastic Inversion”, Journal of Geophysics and Engineering, v. 12, pp. 686-701, June, 2015.
A New Framework for Geostatistics-Based History Matching Using Genetic Algorithm with Adaptive Bounds
MASCHIO, Célio; DAVOLIO, Alessandra; CORREIA, Manuel Gomes; SCHIOZER, Denis José. “A New Framework for Geostatistics-Based History Matching Using Genetic Algorithm with Adaptive Bounds”, Journal of Petroleum Science and Engineering, v. 127, pp. 387-397, February, 2015.
A Methodology to Calibrate Water Saturation Estimated from 4D Seismic Data
DAVOLIO, Alessandra; MASCHIO, Célio; SCHIOZER, Denis José. “A Methodology to Calibrate Water Saturation Estimated from 4D Seismic Data”, Journal of Geophysics and Engineering, v. 11, pp. 1-16, September, 2014.
A Methodology to Constrain Pressure and Saturation Estimation from 4D Seismic using Multiple Simulation Models and Observed Data
DAVOLIO, Alessandra; MASCHIO, Célio; SCHIOZER, Denis José. “A Methodology to Constrain Pressure and Saturation Estimation from 4D Seismic using Multiple Simulation Models and Observed Data”, Journal of Petroleum Science and Engineering, v. 105, pp. 51-61, January, 2013.
Pressure and Saturation Estimation from P and S Impedance: A Theoretical Study
DAVOLIO, Alessandra; MASCHIO, Célio; SCHIOZER, Denis José. “Pressure and Saturation Estimation from P and S Impedance: A Theoretical Study”, Journal of Geophysics and Engineering, v. 9, pp. 447-460, January, 2012.