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

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:

PUC-RIO/DEP. INFORMÁTICA | PUC-RIO/ENGENHARIA CIVIL | PUC-RIO/ICA | PUC-RIO/LIRA

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