Physics-Based and Data-Driven Models to Predict Production Drivers in the Vaca Muerta Formation

Application of unsupervised-manifold-learning for productivity driver evaluation and production forecasting in unconventional oil reservoirs

Y Gao, Y Pan, J Qin, E Qiu, W Ma, R Bi - SPE/AAPG/SEG …, 2022 - onepetro.org
Recent applications in unconventional reservoirs have shown a reverse trend of reducing
stage length and perforation spacing, instead, increasing the stage and cluster spacing …
被引用次数：1 相关文章 所有 4 个版本
[PDF] iapg.org.ar

[PDF][PDF] DATA ANALYTICS AND MACHINE LEARNING WORKFLOWS FOR OPTIMIZATION OF UNCONVENTIONAL ASSETS. CASE STUDY: NEUQUÉN BASIN, VACA …

J Ochoa, LE Gardland, KU Hollund, JJ Salazar… - iapg.org.ar
El objetivo de este trabajo es ilustrar cómo los métodos avanzados de análisis de múltiples
variables y aprendizaje automático son útiles para la mejora económica de la productividad …
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