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I Seminário de Inteligência Artificial Aplicada à Indústria do Petróleo

Data: 6, 7 e 8 de Novembro 2019 | Local: Firjan - Rio de Janeiro, RJ

Programação Oral

06/1107/1108/11

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

Programação Pôster

06/1107/1108/11

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 A STUDY ON NATIONAL OIL PRODUCTION AND ITS DERIVATIVES IN THE LAST 20 YEARS BASED ON DATA ANALYSIS AND INTERPRETATION UFF Matheus de Almeida Rodrigues da Silva Exploration and Production
9:00 – 18:00 OVERVIEW OF SEISMIC FAULT DETECTION MACHINE LEARNING TECHNIQUES PUC-Tecgraf Augusto Ícaro Farias da Cunha Exploration and Production
9:00 – 18:00 MACHINE LEARNING APPLIED TO THE OIL & GAS INDUSTRY Puc-Rio-LIRA Alimed Celecia General point
9:00 – 18:00 THE PERFORMANCE OF PERMEABILITY ESTIMATION USING MODERN ARTIFICIAL INTELLIGENCE TECHNIQUES WITH TWO DIFFERENT TARGETS OF A LOWER ALBIAN CARBONATE RESERVOIR OF CAMPOS BASIN UENF Mohammad Saad Allahham Exploration and Production
9:00 – 18:00 DUAL-KNOWLEDGE IN SEISMIC INTERPRETATION: HUMAN AND MACHINE BIND TOGETHER TO SOLVE GEOSCIENTIFIC PROBLEMS UFF-IG/UFF-IM/Puc-Rio-DI Eliane da Costa Alves Exploration and Production
9:00 – 18:00 DEEP LEARNING APPLIED TO CLASSIFICATION OF GEOLOGICAL STRUCTURES IN 3D SEISMIC DATA Fu2re Smart Solutions Israel Nunes de Almeida Junior Exploration and Production

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

Sobre o evento

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:
  1. Exploração e produção (geologia, geofísica, reservatório e produção);
  2. Perfuração (planejamento e operações) e completação (planejamento e operações);
  3. Equipamentos de superfície (planejamento e operações);
  4. Instalações submarinas (planejamento e operações);
  5. Extração de dados (data mining);
  6. 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

Local

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)

Contato

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

Fotos

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!

Dia 06 de novembro
Dia 07 de novembro
Dia 08 de novembro

CORREALIZAÇÃO

PATROCINADOR OURO

PATROCINADOR PRATA

PATROCINADOR BRONZE

APOIO

Sócios Corporativos

Ouro

eco

Prata

eunata

ABGP

Contato

E-mail: abgp@abgp.com.br
Telefone: (021) 97287-0948

Contato

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