Life-cycle production optimization of the CO2-water-alternating-gas injection process using least-squares support-vector regression proxy
In this study, we present a framework for efficient estimation of the optimal carbon dioxide
(CO 2)-water-alternating-gas (WAG) parameters for robust production-optimization problems …
(CO 2)-water-alternating-gas (WAG) parameters for robust production-optimization problems …
Robust optimization of geoenergy production using data-driven deep recurrent auto-encoder and fully-connected neural network proxy
C Xiao, S Zhang, Y Hu, X Gu, X Ma, T Zhou… - Expert Systems with …, 2024 - Elsevier
Robust and efficient optimization of post-history well production schedule under history-
matched geomodel known as closed-loop production management is crucial to achieve …
matched geomodel known as closed-loop production management is crucial to achieve …
A Deep-Learning-Based Reservoir Surrogate for Performance Forecast and Nonlinearly Constrained Life-Cycle Production Optimization Under Geological …
This study presents an efficient gradient-based production optimization method that uses a
deep-learning-based proxy model for the prediction of state variables (such as pressures …
deep-learning-based proxy model for the prediction of state variables (such as pressures …
Transfer learning-based physics-informed convolutional neural network for simulating flow in porous media with time-varying controls
A physics-informed convolutional neural network is proposed to simulate two phase flow in
porous media with time-varying well controls. While most of PICNNs in existing literatures …
porous media with time-varying well controls. While most of PICNNs in existing literatures …
Comparative study of kernel-and deep learning-based proxy models for nonlinearly constrained life-cycle production optimization
A Atadeger, M Onur, R Banerjee - Geoenergy Science and Engineering, 2024 - Elsevier
This study presents a comparative study for the application of deep learning–based and
kernel-based proxy models in hydrocarbon production optimization with nonlinear …
kernel-based proxy models in hydrocarbon production optimization with nonlinear …
Embed-to-Control-Based Deep-Learning Surrogate for Robust Nonlinearly Constrained Life-Cycle Production Optimization: A Realistic Deepwater Application
This paper presents a realistic deepwater application of a deep-learning-based reservoir
surrogate model in forecasting reservoir performance (via the prediction of state variables …
surrogate model in forecasting reservoir performance (via the prediction of state variables …
Streamlining Robust Constrained Production Optimization: An Integrated Framework Utilizing Automatically Differentiated Gradient from Deep-Learning-Based …
Life-cycle production optimization in reservoir engineering poses computational challenges,
especially under geological uncertainty and complex models. This study introduces a novel …
especially under geological uncertainty and complex models. This study introduces a novel …
Reservoir Forecast and Production Optimization Under Geological Uncertainty Using an Embed-to-Control Deep-Learning Surrogate Model
Life-cycle production optimization is generally solved by using high-fidelity reservoir
simulators and is quite computationally challenging if the model becomes more complex …
simulators and is quite computationally challenging if the model becomes more complex …
Streamlining Constrained Production Optimization Under Geological Uncertainty: An Integrated Framework Utilizing Automatically Differentiated Gradient from Deep …
Life-cycle production optimization in reservoir engineering poses computational challenges,
especially under geological uncertainty and complex models. This study introduces a novel …
especially under geological uncertainty and complex models. This study introduces a novel …
Role of Analytics in Extracting Data-Driven Models from Reservoir Surveillance
R Banerjee - Machine Learning Applications in Subsurface …, 2022 - api.taylorfrancis.com
Reservoir surveillance is the continuous process of acquiring and analyzing data with the
aim of improving reservoir and well performance. Surveillance methods have been used in …
aim of improving reservoir and well performance. Surveillance methods have been used in …