| Sequence-to-Sequence (Seq2Seq) Long Short-Term Memory (LSTM) for oil production forecast of shale reservoirs C Aranguren, A Fragoso, R Aguilera Unconventional Resources Technology Conference, 20–22 June 2022, 1803-1816, 2022 | 12 | 2022 |
| From petroleum system evaluation to geomodeling, production forecasting and reserves determination in unconventional reservoirs CF Aranguren Silva, ACS Gomes, R Aguilera Asia Pacific Unconventional Resources Technology Conference, Virtual, 16–18 …, 2021 | 4 | 2021 |
| Reducing simulation time in a Huff-And-Puff gas injection project in complex shale reservoirs: Sequence-Based proxy multi-porosity reservoir simulator C Aranguren, C Rodríguez Araque, S Cuervo, A Fragoso, R Aguilera SPE Canadian Energy Technology Conference, D011S012R002, 2023 | 3 | 2023 |
| Application of self-learning enhancing huff and puff gas injection optimization in shale reservoirs through sequence-based proxy reservoir simulation and reinforcement learning C Aranguren, R Aguilera Geoenergy Science and Engineering 234, 212676, 2024 | 2 | 2024 |
| Integrated Data-Driven and Physics-Based Techniques for Improved/Enhanced Huff and Puff Gas Injection in Multiporosity Shale Oil Reservoirs. CF Aranguren-Silva University of Calgary, Alberta, Canada, 2024 | 1 | 2024 |
| Potencial de un proyecto de recobro con Smart Water en un campo maduro del Magdalena Medio MJ Gualteros Quiroga, CF Aranguren Silva, AF Vargas Muñoz Uniandes, 2018 | | 2018 |