Time-Series Forecasting of a CO<sub>2</sub>-EOR and CO<sub>2</sub> Storage Project Using a Data-Driven Approach

Time-Series Forecasting of a CO<sub>2</sub>-EOR and CO<sub>2</sub> Storage Project Using a Data-Driven Approach

This study aims to develop a predictive and reliable data-driven model for forecasting the fluid production (oil, gas, and water) of existing wells and future infill wells for CO<sub>2</sub>-enhanced oil recovery (EOR) and CO<sub>2</sub> storage projects. Several models were...

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Bibliographic Details
Main Authors: Utomo Pratama Iskandar, Masanori Kurihara
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Energies
Subjects:
CO<sub>2</sub>-EOR
CO<sub>2</sub> storage
data-driven
time series forecasting/prediction
AR
MLP
Online Access:https://www.mdpi.com/1996-1073/15/13/4768

Internet

https://www.mdpi.com/1996-1073/15/13/4768

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