I Seminário de Inteligência Artificial Aplicada à Indústria do Petróleo

Data: 6, 7 e 8 de Novembro 2019 | Local: Firjan - Rio de Janeiro, RJ
Hours | Title | Institution | Speaker | Session Themes | Apresentação |
9:00 | INSTITUTIONAL OPENING | FIRJAN | FIRJAN | General Interest | |
9:10 | OPENING OVERVIEW | ABGP | Paulus Van Der Vem | General Interest | |
9:25 | HOW MICROSOFT IS TRANSFORMING THE UPSTREAM THROUGH IA – USED CASES | Microsoft | João Coimbra | General Interest | Baixe aqui |
9:50 | DEEP LEARNING APPLICATION FOR SEISMIC FACIES CLASSIFICATION OF THE BRAZILIAN PRE-SALT CARBONATES: AN APPROACH BASED ON CONVOLUTIONAL NEURAL NETWORKS | Invision/Repsol Sinopec Brasil | Igor Lopes Santana Braga | Exploration and Production | |
10:15 | DEVELOPMENT OF AN INNOVATIVE MACHINE-LEARNING TOOLSET FOR PRODUCTION FORECASTING AND OPTIMIZATION | Shell | Raphael Coelho | Exploration and Production | |
10:40 | Refreshment break | ||||
11:10 | AI IN OPERATION FOR FPSO PRODUCTION & MAINTENANCE | MODEC | Rei Yasumuro | Exploration and Production | |
11:35 | RATE OF PENETRATION (ROP) PREDICTION AND DRILLING EFFICIENCY THROUGH MUD LOGGING 4.0 DATA USING MACHINE LEARNING AND DATA ANALYTICS TECHNIQUES | Geowellex/Repsol Sinopec Brasil | Marcos Jacinto | Drilling and Completion | |
12:00 | AUTOMATIC DETECTION OF HARD-HAT USAGE | Instituto Eldorado/Petrobras | Lucas Dalmedico Gessoni | Enviroment and Sustainability | Baixe aqui |
12:25 | “HOW TO MAKE (ALMOST) ANYTHING” WITH THE ARTIFICIAL INTELLIGENCE RENAISSANCE | Baker Hughes | Walter Peres | General Interest | Baixe aqui |
12:50 | Lunch | ||||
13:50 | DEEP ARTIFICIAL NEURAL NETWORKS, CLASSIFICATION AND SIMULATIONS OF BOREHOLE PROPERTIES IN MULTISCALE | CBPF/UFES/Petrobras | Clecio Roque De Bom | Exploration and Production | |
14:15 | END-TO-END DATA SCIENCE (PAJÉ) | USP-São Carlos-ICMC | Davi Pereira dos Santos | General Interest | Baixe aqui |
14:40 | HARDWARE PLATFORMS FOR ARTIFICIAL INTELLIGENCE – FROM EDGE SERVERS TO WORKSTATIONS AND SUPERCOMPUTERS | Atos/Nvidia | Genaro Costa | General Interest | |
15:05 | AI – CONCEPT AND STRATEGY | Instituo Gartner | Sergei Beserra | General Interest | |
15:30 | DEEP LEARNING APPLIED TO SEGMENTED MICROTOMOGRAPHY SAMPLES FOR ROCK PROPERTY PREDICTION | Ltrace/Petrobras | Rodrigo Exterkoetter | Exploration and Production | Baixe aqui |
15:55 | Refreshment break | ||||
16:25 | AI IN OIL AND GAS – LESSONS LEARNED AND FUTURE VISION | Tecgraf/Puc-Rio LIRA | Paulo Ivson e Alimed Celecia Ramos | General Interest | Baixe aqui |
16:50 | DIGITAL TWIN and machine learning applied for PREDICTIVE MAINTENENCE | Dassault Systemes | Henry Shibayama | General Interest | Baixe aqui |
17:15 | OPTIMIZATION OF OFFSHORE OIL AND GAS PRODUCTION SYSTEMS DURING DESIGN PHASE | Petrobras/Puc-Rio | Allan Gurwicz | Underwater Installations | Baixe aqui |
17:40 | INTERACTIVE DEEP LEARNING ASSISTED SEISMIC INTERPRETATION TECHNOLOGY APPLIED TO RESERVOIR CHARACTERIZATION: A CASE STUDY FROM OFFSHORE SANTOS BASIN IN BRAZIL | Bluware | Ana Krueger | Exploration and Production |
Hours | Title | Institution | Speaker | Session Themes |
9:00 | PETROFACIES CLASSIFICATION USING ARTIFICIAL INTELLIGENCE ALGORITHMS | UENF/Petrobras | Abel Carrasquilla | Exploration and Production |
9:25 | AUTOMATED SEISMIC INTERPRETATION USING CNN: A 2D CASE STUDY IN THE SANTOS BASIN | Kognitus/Uff/Eliis/Geohub | Francois Lafferriere | Exploration and Production |
9:50 | ARTIFICIAL INTELLIGENCE APPLIED TO THE FLATFISH ADVANCED AUV | Saipem | Tommaso Buono | Surface Equipment |
10:15 | ARTIFICIAL INTELLIGENCE ALGORITHMS APPLIED TO HYDRAULIC FRACTURE DESIGN AND FORECASTING FRACTURE INTERACTION | PUC-Tecgraf/Puc-Rio Cívil/Petrobras | Eleazar Cristian Mejia Sanchez | Exploration and Production |
10:40 | Refreshment break | |||
11:10 | DIGITAL TWINS AS A PLATFORM FOR ARTIFICIAL INTELLIGENCE IN THE PETROLEUM SUPPLY CHAIN | Sirius Center/UFRGS-Inst. Inform | David Cameron | Data Mining |
11:35 | APPLYING CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS FOR SEISMIC DATA RECONSTRUCTION | IBM Research | Emilio Ashton Vital Brazil | Exploration and Production |
12:00 | DETECTING SAFETY UNCONFORMITIES IN SUPPORT VESSELS THROUGH INTELLIGENT VIDEO ANALYTICS | Metta Inovations/Petrobras | Leonardo Martins | Enviroment and Sustainability |
12:25 | DOWNSCALING OF COMPUTED TOMOGRAPHY IMAGES FROM COQUINAS USING STYLE TRANSFER | UNICAMP | João Paulo da Ponte Souza | Exploration and Production |
12:50 | Lunch | |||
13:50 | CASE STUDY: PREDICTING PRODUCTION-IMPACTING EVENTS ON REMOTE PLATFORMS | SparkCognition | Philippe Herve | Exploration and Production |
14:15 | EVENT DETECTION FOR DRILLING OPERATIONS USING ADVANCED DATA ANALYTICS AND MACHINE LEARNING | Intelie/Shell | Felippe Schuwartz Borba Marques | Drilling and Completion |
14:40 | USE OF RECURRENT NETWORKS FOR GAS DETECTION IN TERRESTRIAL SEISMIC | PUC-Tecgraf/Eneva | Luiz Fernando Trindade Santos | Exploration and Production |
15:05 | CONVOLUTIONAL NEURAL NETWORKS APPLIED TO SEISMIC FACIES CLASSIFICATION | Halliburton | Carlos Eduardo Pacheco | Exploration and Production |
15:30 | LEVERAGINS DATA STRUCTURE AND OPERATIONAL EXPERIENCE FOR OPTIMIZED AI AGENTS | SBM Offshore | Guilherme Pinto | Surface Equipment |
15:55 | Refreshment break | |||
16:25 | AI DIGITAL TWIN TECHNOLOGY | PHDsoft/Siemens | Duperron Marangon Ribeiro | Exploration and Production |
16:50 | IDENTIFICATION OF ELASTIC PARAMETERS OF GEOMECHANICAL RESERVOIR MODELS USING ARTIFICIAL INTELLIGENCE TECHNIQUES | Puc-Tecgraf/Puc-Rio | Marcello Congro | Exploration and Production |
17:15 | SPEEDING UP THE NUMERICAL SIMULATION OF MARINE SLENDER STRUCTURES WITH MACHINE LEARNING | TechnipFMC | Vinicius Ribeiro Machado da Silva | Underwater Installations |
17:40 | AI APPLICATIONS IN GEOPHYICAL INTERPRETATION FOR EXPLORATION AND PRODUCTION IN THE OIL INDUSTRY | Neuraltronic/Intel | Filippo Andrade Prins Rodrigues | General Interest |
Hours | Title | Institution | Speaker | Session Themes | |
9:00 | ONLINE LEARNING CONTROL WITH ECHO STATE NETWORKS OF AN OIL PRODUCTION PLATFORM | UFSC/Univ. Luxemburgo | Jean Panaioti Jordanou | Exploration and Production | |
9:25 | DEEP LEARNING APPLIED TO ROCK CLASSIFICATION IN THIN SECTION PHOTOMICROGRAPHS | Fu2re Smart Solutions | Davi Bortolotti Batista | Exploration and Production | |
9:50 | USING AN ARTIFICIAL INTELLIGENCE PREDICATIVE ALGORITHM TO IMPROVE ELECTRICAL SUBMERSIBLE PUMP OPERATING CONDITIONSPRODUCTION VOLUMES | Shell | Igor Vieras Debacker | Exploration and Production | |
10:15 | ON THE USE OF DROPOUT ON ARTIFICIAL NEURAL NETWORKS FOR VIRTUAL SENSORS FOR INDUSTRIAL ASSETS | Rio Analytics | Nicolaus Linneu Holanda | Underwater Installations | Baixe aqui |
10:40 | Refreshment break | ||||
11:10 | UNSUPERVISED MACHINE LEARNING MODELS APPLIED TO SEISMIC INTERPRETATION: AGGREGATING LITHOLOGIC PROPERTIES THROUGH THE INCLUSION OF WELL LOGS PROFILES | Puc-Rio-LIRA/Tecgraf | Alimed Celecia | Exploration and Production | |
11:35 | DIGITAL TRANSFORMATION IN THE WELLS AREA | Petrobras | Hardy Leonardo | Drilling and Completion | |
12:00 | ONTOLOGY BASED DATA ACCESS USING QUERYING BY EXAMPLE APPROACH | UFC-Dep. Comp/Inst. Fed. do Ceará | José Macedo | Data Mining | |
12:25 | RECOGNITION OF DEEP-WATER DEPOSITS USING DIGITAL IMAGE EDGE DETECTION TECHNIQUES AND MACHINE LEARNING ROUTINES. (COLOMBIA-OFFSHORE) | Ecopetrol | Marcelo Garcia Ocampo | Exploration and Production | Baixe aqui |
12:50 | Lunch | ||||
13:50 | AI DISRUPTIVE TECHNOLOGIES ON OPEN INTEL ARCHITECTURE AND OIL&GAS USE CASES | Intel | Monica Livingston | General Interest | |
14:15 | BOOSTING HUMAN PERFORMANCE: AI AND REAL APPLICATIONS FOR BRAZIL | CyberLabs | Marcelo Sales | General Interest | |
14:40 | MACHINE LEARNING APPLIED TO SWELL NOISE CLASSIFICATION | UFRJ-COPPE-LAMCE-Lab2/Petrobras | Carlos Salvador Neto | Exploration and Production | |
15:05 | RESERVOIR INSIGHTS ENABLED BY MACHINE LEARNING TECHNOLOGY | Emerson | Thiago Cuzzatti | Exploration and Production | Baixe aqui |
15:30 | DEEP LEARNING FOR SEISMIC DATA COMPRESSION | Nvidia | Pedro Mário | Exploration and Production | |
15:55 | Refreshment break | ||||
16:25 | ANSWERS ON DRILLING THROUGH PERVASIVE DATA ANALYTICS | Teradata | Nathan Zenero | General Interest | Baixe aqui |
16:50 | MACHINE LEARNING ASSISTED SEISMIC INTERPRETATION TO REDUCE UNCERTAINTY IN SUBSURFACE MODELING | Schlumberger | Jose Caparica | Exploration and Production | |
17:15 | Livre | ||||
17:40 | ABGP – Wrap Up and Path Ahead | ABGP | Sylvia Anjos | General Interest |
Hour | Title | Company | Speaker | Theme |
9:00 – 18:00 | DATA-MINING APPLIED TO BRAZILIAN PRE-SALT WELL LOG DATA FOR LITHOLOGY PREDICTION | Tecgraf/Puc-Rio Cívil | Eric Luz e Marlene Suzy | Exploration and Production |
9:00 – 18:00 | SYNTHETIC 3D POINT CLOUD GENERATOR FOR MACHINE LEARNING APPLICATIONS IN SUBSEA OIL FACILITIES | Tecgraf/Puc-Rio | Cesar Augusto Sierra Franco | General point |
9:00 – 18:00 | CHALLENGES IN APPLYING ARTIFICIAL INTELLIGENCE TECHNIQUES FOR STUCK PIPE DETECTION: A PRE-SALT CASE. | UFF/Petrobras | Mayara de Jesus Rocha Santos | Drilling and Completion |
9:00 – 18:00 | NEURAL NETWORK-ENHANCED NUMERICAL SIMULATIONS APPLIED TO THE INTEGRITY OF PRE-SALT WELLS CROSSING DISSOLVED ROCK INTERVALS | Tecgraf/Puc-Rio Cívil | Pedro Alcides Lobo Penna Firme | Drilling and Completion |
9:00 – 18:00 | MACHINE LEARNING TECHNIQUES TO ESTIMATE RESERVOIR PROPERTY CHANGES DIRECTLY FROM 4D SEISMIC ATTRIBUTES AND ROCK | UNICAMP/CEPETRO | Aurea Soriano-Vargas | Exploration and Production |
9:00 – 18:00 | PRE-SALT PLAY COURSE PORTFOLIO – ABGP |
Hour | Title | Company | Speaker | Theme |
9:00 – 18:00 | STUDY OF BOP SENSING THROUGH ARTIFICIAL INTELLIGENCE | UFF/Petrobras | Lorena Albino Soares da Silva | Exploration and Production |
9:00 – 18:00 | APPLICATION MACHINE LEARNING METHOD FOR LITOLOGICAL CLASSIFICATION IN GEOPHYSICAL DATA: CASE STUDY IODP EXPEDITION 362 | UNISINOS | Thiago Santi Bressan | Exploration and Production |
9:00 – 18:00 | AN INSIGHT INTO AI TEACHING IN BRAZIL | Free lancer | Breno Scalpo | General point |
9:00 – 18:00 | CNN SEISMIC INVERSION USING GEOLOGICAL REALISTIC SCENARIOS DERIVED FROM MARKOV-CHAIN SYNTHETICS | UFF/Kognitus | João Zambrini | Exploration and Production |
9:00 – 18:00 | INT-IVAAP MODERN CLOUD PLATAFORM, OSDU MEMBER, READY TO LAUNCH IA, ML ALGHORITHMS FOR E&P. | IesBrazil | Carlos Belem | General point |
9:00 – 18:00 | OPTIMIZING OPERATING EFFICIENCIES WITH ERP AND SCADA DATA | Teradata | Brett Luedde | Exploration and Production |
MENSAGEM DA COORDENAÇÃO
UM ENCONTRO ENTRE O PRESENTE E O FUTURO DO PETRÓLEO
A indústria mundial está passando por um processo de transformação digital. Novas tecnologias chegaram ao mercado, por exemplo, aprendizado de máquina, internet das coisas, blockchain, Data Lake, etc. e estão transformando o mundo e o modo de se trabalhar. Estas ferramentas são capazes de processar miríades de informações e fornecerem resultados aplicáveis na rápida tomada de decisões e no aumento da eficiência e economicidade da indústria do petróleo.
Atenta a esta realidade, a ABGP (Associação Brasileira de Geólogos de Petróleo), a Firjan SENAI e a ONIP (Organização Nacional da Indústria do Petróleo), correalizarão, nos dias 6, 7 e 8 de novembro do presente ano, o I Seminário de Inteligência Artificial Aplicada à Industria do Petróleo, na cidade do Rio de Janeiro-RJ, nas dependências da Firjan.
Será um evento internacional que congregará pesquisadores brasileiros e estrangeiros e o programa científico cobrirá os diversos aspectos sobre Inteligência Artificial, sua aplicação e integração nos estudos altamente relevantes para o avanço desta ciência e sua aplicação na indústria do petróleo.
VANTAGENS EM PARTICIPAR
- Compartilhamento de conhecimento e a oportunidade de discutir os avanços da inteligência artificial e sua aplicação na indústria do petróleo;
- Estudo de casos reais e resultados práticos, separados pelas seguintes sessões temáticas, tornando o evento uma referência na discussão sobre o tema:
- Exploração e produção (geologia, geofísica, reservatório e produção);
- Perfuração (planejamento e operações) e completação (planejamento e operações);
- Equipamentos de superfície (planejamento e operações);
- Instalações submarinas (planejamento e operações);
- Extração de dados (data mining);
- Meio ambiente e sustentabilidade.
Relação de empresas e instituições que farão parte da programação científica, como autoras e ou co/autoras de trabalhos a serem apresentados:
AMAZON | ATOS | BAKER HUGHES | BLUWARE | CBPF | CYBERLABS
DASSAULT SYSTÈMES | ECOPETROL | ELIIS | EMERSON | ENEVA | FU2RE SMART SOLUTIONS
GEOHUB | GEOWELLEX | HALLIBURTON | IBM RESEARCH | IESBRAZIL | INSTITUTO ELDORADO
INSTITUTO GARTNER | INTEL | INTELIE | INVISION | KOGNITUS | LTRACE | METTA INOVATIONS
MICROSOFT | MODEC | NEURALTRONIC | NVIDIA | PETROBRAS | PHDSOFT
PUC-RIO/DEP. INFORMÁTICA | PUC-RIO/ENGENHARIA CIVIL | PUC-RIO/ICA | PUC-RIO/LIRA
PUC-TECGRAF | REPSOL SINOPEC BRASIL | RIO ANALYTICS | SAIPEM | SBM OFFSHORE | SCHLUMBERGER | SHELL | SIEMENS | SIRIUS CENTRE, UNIVERSITY OF OSLO
SPARKCOGNITION | TECHNIPFMC | TERADATA | UENF/CCT/LENEP | UFC | UFES | UFF/IG | UFF/IM
UFRGS/INST. INFORMÁTICA | UFRJ/COPPE/LAMCE/LAB2 | UFSC | UNICAMP |UNICAMP/CEPETRO
UNISINOS | UNIVERSITY OF LUXEMBURGO | USP-SÃO CARLOS/ICMC
Firjan – Federação das Indústrias do Estado do Rio de Janeiro
Av. Graça Aranha, 1
4th floor
Centro – Rio de Janeiro
(close to the Cinelândia Station)
Coordenação Técnica: Marcos Amaral
E-mail: amaral950@gmail.com
Telefone: (021) 98242-0040
Coordenação Administrativa: Michele Terra
E-mail: abgp@abgp.com.br
Telefone: (021) 97287-0948
O I Seminário de Inteligência Artificial Aplicada à Indústria do Petróleo foi um sucesso! Foram mais de 60 empresas participantes, 65 trabalhos apresentados na forma oral e poster, 5 patrocinadores. E isso não teria acontecido da forma como foi sem a sua participação.
Agradecemos a todos pela importante participação e troca de conhecimentos, fator determinante para o sucesso do evento.
“Em 2020 tem mais, esperamos vocês!”
Confira abaixo as fotos desse evento que foi um marco para a nossa indústria!
CORREALIZAÇÃO



PATROCINADOR OURO
PATROCINADOR PRATA

PATROCINADOR BRONZE



APOIO
