| Resumos | Sessão |
|---|---|
Advancing Seismic Data Exploration with Agentic AI Tools and LLMsFuture TrendsIgnacio Sánchez Gendriz (UFRN) |
Future Trends |
Automated fracture-zone prediction in multi-azimuth seismic data using deep learningApplications to Seismic InterpretationLorena da Silva Oliveira Santos (Kognitus), Matheus Silva Gonçalves (Kognitus), Pablo Machado Barros (Petrobras), Pedro Henrique Silvany (Petrobras), Carlos Eduardo Borges de Salles Abreu (Petrobras), Alexandre Augusto Cardoso da Silva (Petrobras), Rogério Espíndola (COPPE-UFRJ), Maria Célia Lopes (COPPE-UFRJ), Lucas Dias (COPPE-UFRJ), Bruno Souza (COPPE-UFRJ) |
Applications to Seismic Interpretation |
Deep Learning Methods for Methane Detection in EMIT Hyperspectral ImageryMachine Learning TheoryReynaldo Souza de Carvalho (UNICAMP), Carlos Roberto de Souza Filho (UNICAMP) |
Machine Learning Theory |
Lithology prediction through convolutional neural networks and rock physics-based synthetic wells: an example from Gulf of MexicoApplications to Reservoir CharacterizationFELIPE FERREIRA DE MELO (GeoSoftware), Ruth Kurian (GeoSoftware) |
Applications to Reservoir Characterization |
Diffusion Model Based Artificial Seismic Image GenerationApplications to Seismic InterpretationPedro Gil Oliveira De Magalhães Couto (Petrobras), Thales Amaral Paes de Mesentier (Petrobras), Vitor Giudice Batista de Araujo Porto (Petrobras), Ronnypetson Souza da Silva (Petrobras) |
Applications to Seismic Interpretation |
Unsupervised characterization technique based on the Correlation Integral approach for 3D seismic data interpretation.Applications to Seismic InterpretationPavel Karmanov (Indian Institute of Technology, Kharagpur), Professor Paresh Nath Singha Roy (Indian Institute of Technology, Kharagpur), Dr. Ramakrushna Reddy () |
Applications to Seismic Interpretation |
Feature augmentation techniques as an improvement process of acoustic seismic inversion.Machine Learning TheoryCarlos Eduardo Pacheco (Halliburton), Carlos Eduardo Pereira Pacheco (Halliburton), Reinaldo Mozart da Gama e Silva (Halliburton), Edson Alonso Falla Lusa (Halliburton), Matheus Lima Lemos de Oliveira (Halliburton), Aury Candido Bezerra (Petrobras) |
Machine Learning Theory |
The geoML project: spatial modeling in the 21st centuryMachine Learning TheoryÍtalo Gomes Gonçalves (Federal University of Pampa), Marcus Vinicius Aparecido Gomes de Lima (Federal University of Pampa) |
Machine Learning Theory |
Integration of gravity and seismic data for crustal thickness modeling in South America using Gaussian processesCase studies in GeoscienceÍtalo Gomes Gonçalves (Federal University of Pampa), Marcus Vinicius Aparecido Gomes de Lima (Federal University of Pampa) |
Case studies in Geoscience |
Irreducible water saturation from Nuclear Magnetic Resonance raw data using Deep LearningApplications to Reservoir CharacterizationBernardo Fraga (CBPF ), Bernardo Coutinho (Petrobras), Clecio R. de Bom (CBPF) |
Applications to Reservoir Characterization |
Automatic Detection of Breakouts Patterns in Acoustic Image Logs Using MSRF-NetApplications to Seismic Interpretationrenata nascimento (Tecgraf Institute – PUC-Rio), Augusto Cunha (Tecgraf Institute – PUC-Rio), Gabrielle Brandemburg dos Anjos (Tecgraf Institute – PUC-Rio), Mayara Gomes (Tecgraf Institute – PUC-Rio), Nelia Reis (Tecgraf Institute – PUC-Rio), Raquel Guilhon (Tecgraf Institute – PUC-Rio), Candida Menezes de Jesus (Petrobras) |
Applications to Seismic Interpretation |
Application of Deep Learning in 2D Seismic AnalysisApplications to Seismic InterpretationMarcio Lemos Rodrigues (IesBrazil Technology & Innovation), Neida Ilana (IesBrazil Technology & Innovation), Carlos Saraiva (IesBrazil Technology & Innovation), Vanessa Lira (IesBrazil Technology & Innovation), Juliana Fernandes (IesBrazil Technology & Innovation) |
Applications to Seismic Interpretation |
Latent Diffusion Model Conditioned by Segmentation Maps for 2D Geological Facies GenerationApplications to Reservoir Characterizationrenata nascimento (Tecgraf Institute – PUC-Rio), Augusto Cunha (Tecgraf Institute – PUC-Rio), Gabrielle Brandemburg dos Anjos (Tecgraf Institute – PUC-Rio), Julio Nobre Lopes (Tecgraf Institute – PUC-Rio), Andressa Oishi (Petrobras), Claudio Henrique Gomes (Petrobras), Erick Talarico (Petrobras), Eugenio Pacelli (Petrobras), Maria Clara Godinho (Petrobras) |
Applications to Reservoir Characterization |
Deep Learning to Map Mass Transport Deposits: Santos Basin - case studyCase studies in GeoscienceManuel Parcero Oliveira (Petrobras), Ana Krueger (Bluware), Antonio Henrique da Fontoura Klein (UFSC) |
Case studies in Geoscience |
Solimões Basin Onshore Brazil Igneous Intrusions Characterization Using an Interactive, Data-Centric Deep Leaning ApproachApplications to Seismic InterpretationAna Krueger (Bluware), Scott Salamoff (Bluware) |
Applications to Seismic Interpretation |
Elastic Time-Lapse Machine Learning Seismic inversionApplications to Seismic ProcessingGilberto Corso (Universidade Federal do Rio Grande do Norte) |
Applications to Seismic Processing |
3D Time-lapse Inversion using Machine LearningApplications to Seismic ProcessingGilberto Corso (Universidade Federal do Rio Grande do Norte), Paulo Vinícius de Mendonça Carvalho (Universidade Federal do Rio Grande do Norte) |
Applications to Seismic Processing |
Time-lapse target-oriented velocity inversion with supervised CNN networksApplications to Seismic ProcessingGilberto Corso (Universidade Federal do Rio Grande do Norte), Paulo Victor Ferreira (Universidade Federal do Rio Grande do Norte) |
Applications to Seismic Processing |
Usage of deep learning techniques to recognize and map shallow faults at Albacora Leste FieldApplications to Seismic InterpretationRODRIGO DE PAIVA FERRO (PRIO), Ana Krueger (Blueware), Neida Ilana Rios (IESBrazil), Humberto Bovolenta (PRIO), Andre Silva (PRIO), Pedro Henrique Guara Rocha Coelho (PRIO), Marina Jordao Martins (PRIO) |
Applications to Seismic Interpretation |
Well log and core integration to predict permeability in carbonates: A methodology using machine learningCase studies in GeoscienceFilipe de Moura Antonio Cordeiro (Universidade Federal da Bahia - UFBA), Alexsandro G. Cerqueira (Universidade Federal da Bahia - UFBA), Cícero da Paixão Pereira (Universidade Federal da Bahia - UFBA) |
Case studies in Geoscience |
Seismic Horizon Interpretation with Deep Learning: a case study in Santos BasinAlexsandro Guerra Cerqueira (GAIA-UFBA), João P. Gomes (GAIA-UFBA), José L. Silva (GAIA-UFBA / Oxaala), Paulo Vidigal (GAIA-UFBA), Paulo Barros (GAIA-UFBA), Alexsandro G. Cerqueira2 (GAIA-UFBA) |
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Improving velocity model building with Physics Informed Neural Networks and Fourier Neural OperatorsBernardo Fraga (CBPF ), Ana Paula Muller (Petrobras), Clecio de Bom (CBPF) |
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Data Science Workflow for Well Logs Quality ControlMachine Learning TheoryFrancisco Allamilla (SLB), Maria Clara Duque (SLB), Tamires Silva (SLB), Luciana Medani (SLB) |
Machine Learning Theory |
Deep Learning as a Facilitator for Borehole Images InterpretationMachine Learning TheoryThiago Silva (SLB), Adna Vasconcelos (SLB), Aurelio Ribeiro (Petrobras), Jorge Andre Braz (Petrobras) |
Machine Learning Theory |