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Efficient Robust Production Optimization with Reduced Sampling
SPE Journal, 2022Model-based robust production optimization is performed by propagating the uncertainty in the reservoir model description through the nonlinear fluid flow dynamics to predict the stochastic production response and the objective function of interest ...
Jun-Jie Yu +2 more
semanticscholar +1 more source
Journal of Petroleum Science and Engineering, 2020
Multi-objective optimization (MOO), which involves more than one conflicting objective to be optimized simultaneously, is expected to provide efficient and comprehensive reservoir management (RM) solutions.
Meng-Jie Zhao +7 more
semanticscholar +1 more source
Multi-objective optimization (MOO), which involves more than one conflicting objective to be optimized simultaneously, is expected to provide efficient and comprehensive reservoir management (RM) solutions.
Meng-Jie Zhao +7 more
semanticscholar +1 more source
, 2020
Surrogate models, which have become a popular approach to oil-reservoir production-optimization problems, use a computationally inexpensive approximation function to replace the computationally expensive objective function computed by a numerical ...
Guodong Chen +7 more
semanticscholar +1 more source
Surrogate models, which have become a popular approach to oil-reservoir production-optimization problems, use a computationally inexpensive approximation function to replace the computationally expensive objective function computed by a numerical ...
Guodong Chen +7 more
semanticscholar +1 more source
SPE Journal, 2020
In the context of production optimization, we consider the general problem of finding the well controls that maximize the net present value (NPV) of life-cycle production, where the well controls are either the bottomhole pressure (BHP) or a rate (oil,
Zhe Liu, A. Reynolds
semanticscholar +1 more source
In the context of production optimization, we consider the general problem of finding the well controls that maximize the net present value (NPV) of life-cycle production, where the well controls are either the bottomhole pressure (BHP) or a rate (oil,
Zhe Liu, A. Reynolds
semanticscholar +1 more source
Day 3 Fri, June 28, 2024
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 and saturations) and well outputs (such as bottomhole pressures and ...
Q. Nguyen, M. Onur
semanticscholar +1 more source
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 and saturations) and well outputs (such as bottomhole pressures and ...
Q. Nguyen, M. Onur
semanticscholar +1 more source
Competitive Knowledge Transfer–Enhanced Surrogate-Assisted Search for Production Optimization
SPE JournalProduction optimization is a crucial component of closed-loop reservoir management, which typically aims to search for the best development scheme for maximum economic benefit.
Chen-Ming Cao +9 more
semanticscholar +1 more source
Journal of Petroleum Science and Engineering, 2020
In recent years, evolutionary computation (EC) has gained increasing attention in the field of production optimization due to its powerful global search ability and derivative-free characteristic.
Xinggang Zhao +8 more
semanticscholar +1 more source
In recent years, evolutionary computation (EC) has gained increasing attention in the field of production optimization due to its powerful global search ability and derivative-free characteristic.
Xinggang Zhao +8 more
semanticscholar +1 more source
, 2020
This research focused on the novel, low-cost and green NaAlO2/γ-Al2O3 heterogeneous nanocatalyst, which exhibited the excellent performance in catalyzing transesterification of palm oil with methanol for the biodiesel production.
Yujiao Zhang +4 more
semanticscholar +1 more source
This research focused on the novel, low-cost and green NaAlO2/γ-Al2O3 heterogeneous nanocatalyst, which exhibited the excellent performance in catalyzing transesterification of palm oil with methanol for the biodiesel production.
Yujiao Zhang +4 more
semanticscholar +1 more source
Digital Twin Application for Production Optimization
IEEE International Conference on Industrial Engineering and Engineering Management, 2020This paper is focused on the digital twin solution to validate the performance optimization of production lines. We propose three steps to approach the digital twin for production lines.
Sumin Jeon, Sebastian Schuesslbauer
semanticscholar +1 more source
SPE Journal, 2020
Multiobjective optimization (MOO) is a popular procedure for waterflooding optimization under geological uncertainty that maximizes the expectation of net present value (NPV) over all possible uncertainty models and minimizes the variance ...
Meng-Jie Zhao +7 more
semanticscholar +1 more source
Multiobjective optimization (MOO) is a popular procedure for waterflooding optimization under geological uncertainty that maximizes the expectation of net present value (NPV) over all possible uncertainty models and minimizes the variance ...
Meng-Jie Zhao +7 more
semanticscholar +1 more source