01646nam a2200241 4500 20260608202213.0 260224s2018 xxu esp Español 068.82 553.28 C62 2018 0015647 Transforming knowledge intensive processes in E&P with AI 2018 13/07/2022 ; 10/06/2019 1 p. ; 247 Presentación especial. ; Sólo resumen en español. Nowadays the Oil & Gas industry is facing a data flooding problem. Each step in the E&P value chain creates terabytes of information, but the extraction of meaningful knowledge and insights to support decision-making processes is still a challenge. In this work, we present a workflow based on artificial intelligence (AI) tools that help to combine different sources of knowledge, therefore enabling better analytics tools to ground decisions. This workflow integrates machine learning models, like computer vision and data-driven learning processes, with formal knowledge, like ontologies, rules and facts structured in a knowledge graph. We also capture former expert’s interactions thus enabling an active/continuous-learning environment. CONGTP Cerqueira, Renato 59045 Congreso de Exploración y Desarrollo de Hidrocarburos (10mo. : 2018 nov. 5 - 9 : Mendoza) 573 Jornadas de Geotecnología (6tas. : 2018 nov. 5 - 9 : Mendoza) 574 192952 192952 https://biblioteca.iapg.org.ar/ArchivosAdjuntos/Conexplor2018/SGeot/Presentaciones especial 6.pdf 0 0 0 0 260671 CBAAB CBAAB 068.82 553.28 C62 2018 0015647 2026-03-06 200065262 0 068.82 553.28 C62 2018 0015647 200065262 2026-03-06 00:37:23 2026-03-06 CONGTP