Comparative study of kernel- and deep learning-based proxy models for nonlinearly constrained life-cycle production optimization

Author:

Atadeger AykutORCID,Onur MustafaORCID,Banerjee Raj

Publisher

Elsevier BV

Reference49 articles.

1. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems, Software Available from tensorflow.Org;Abadi,2015

2. Life-cycle optimization of the CO2 huff-n-puff process in an unconventional oil reservoir using least-squares support-vector and Gaussian process regression proxies;Almasov;SPE J.,2021

3. Predictions of States Variables and Well Outputs and Reservoir Production Optimization by Deep Learning- and Kernel-Based Proxy Models;Atadeger,2022

4. Deep learning-based proxy models to simulate subsurface flow of three-dimensional reservoir systems;Atadeger,2022

5. Deep learning-based and kernel-based proxy models for nonlinearly constrained life-cycle production optimization;Atadeger,2023

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