| 000 | 01646nam a2200241 4500 | ||
|---|---|---|---|
| 005 | 20260608202213.0 | ||
| 008 | 260224s2018 xxu esp | ||
| 041 | _aEspañol | ||
| 082 | _a068.82 553.28 C62 2018 0015647 | ||
| 245 | 0 | 0 | _aTransforming knowledge intensive processes in E&P with AI |
| 260 |
_a _b _c2018 |
||
| 270 | _a13/07/2022 ; 10/06/2019 | ||
| 300 | _a1 p. ; 247 | ||
| 500 | _aPresentación especial. ; Sólo resumen en español. | ||
| 520 | _aNowadays 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. | ||
| 773 | _g | ||
| 942 | _cCONGTP | ||
| 100 | 1 |
_aCerqueira, Renato _959045 |
|
| 111 | 2 |
_aCongreso de Exploración y Desarrollo de Hidrocarburos (10mo. : 2018 nov. 5 - 9 : Mendoza) _9573 |
|
| 111 | 2 |
_aJornadas de Geotecnología (6tas. : 2018 nov. 5 - 9 : Mendoza) _9574 |
|
| 999 |
_c192952 _d192952 |
||
| 856 | _uhttps://biblioteca.iapg.org.ar/ArchivosAdjuntos/Conexplor2018/SGeot/Presentaciones especial 6.pdf | ||