SimProxy Decision Support System: A Neural Network Proxy Applied to Reservoir and Surface Integrated Optimization
暂无分享,去创建一个
Manoela Kohler | Marley Vellasco | Karla Figueiredo | Eugenio Silva | Karla Figueiredo | Eugênio Silva | Manoela Kohler | M. Vellasco
[1] Jianchao Zeng,et al. Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems , 2017, IEEE Transactions on Evolutionary Computation.
[2] Takashi Goda,et al. History matching with iterative Latin hypercube samplings and parameterization of reservoir heterogeneity , 2014 .
[3] Oscar Martinez,et al. Solving the Challenges of Short and Long-Term Production Forecasting and Uncertainty Using a Fully-Coupled Implicit Integrated Production Modelling System , 2016 .
[4] Eugene Fedutenko,et al. Time-Dependent Neural Network Based Proxy Modeling of SAGD Process , 2014 .
[5] Louis J. Durlofsky,et al. Error modeling for surrogates of dynamical systems using machine learning , 2017 .
[6] Ehsan Amirian,et al. Cognitive Data-Driven Proxy Modeling for Performance Forecasting of WaterfloodingProcess , 2017 .
[7] S. Hyakin,et al. Neural Networks: A Comprehensive Foundation , 1994 .
[8] Alberto Cominelli,et al. The Benefits of Integrated Asset Modelling: Lessons Learned from Field Cases , 2008 .
[9] I. Jolliffe. Principal Component Analysis , 2002 .
[10] William Pao,et al. Dynamic Surrogate Reservoir Model with well constraints , 2016, 2016 3rd International Conference on Computer and Information Sciences (ICCOINS).
[11] Eric Whittet Bhark,et al. Best Practices of Assisted History Matching Using Design of Experiments , 2018, SPE Journal.
[12] Soumya Mishra,et al. Analysis of Levenberg-Marquardt and Scaled Conjugate gradient training algorithms for artificial neural network based LS and MMSE estimated channel equalizers , 2015, 2015 International Conference on Man and Machine Interfacing (MAMI).
[13] Diane Rossiter,et al. An input pre-screening technique for control structure selection , 1997 .
[14] Xu Xu,et al. Convolutional Neural Network Based on Principal Component Analysis Initialization for Image Classification , 2016, 2016 IEEE First International Conference on Data Science in Cyberspace (DSC).
[15] Rui Jiang,et al. Implementation and detailed assessment of a GNAT reduced-order model for subsurface flow simulation , 2019, J. Comput. Phys..
[16] Ehsan Khamehchi,et al. A Novel Approach to Assist History Matching Using Artificial Intelligence , 2015 .
[17] Majid Siavashi,et al. Efficient Particle Swarm Optimization of Well Placement to Enhance Oil Recovery Using a Novel Streamline-Based Objective Function , 2016 .
[18] Francisco Javier Martinez-de-Pison,et al. Metamodel-based design optimization of structural one-way slabs based on deep learning neural networks to reduce environmental impact , 2018 .
[19] K. M. Teo,et al. Well Placement, Infrastructure Design, Facility Allocation, and Production Planning in Multireservoir Oil Fields with Surface Facility Networks , 2014 .
[20] Marley M. B. R. Vellasco,et al. Optimization system for valve control in intelligent wells under uncertainties , 2010 .
[21] S. Keleş,et al. Sparse partial least squares regression for simultaneous dimension reduction and variable selection , 2010, Journal of the Royal Statistical Society. Series B, Statistical methodology.
[22] Shahab D. Mohaghegh,et al. Reservoir Simulation Using Smart Proxy in SACROC Unit - Case Study , 2016 .
[23] Benjamin Baran,et al. Multi-objective optimization of monitoring well location for CO2 leakage detection , 2016, 2016 35th International Conference of the Chilean Computer Science Society (SCCC).
[24] Jose A. Romagnoli,et al. An Integrated Machine-Learning Approach to Shale-Gas Supply-Chain Optimization and Refrac Candidate Identification , 2019, SPE Reservoir Evaluation & Engineering.
[25] Michèle Hibon,et al. Exponential smoothing: The effect of initial values and loss functions on post-sample forecasting accuracy , 1991 .
[26] Z. Michalewicz,et al. Genocop III: a co-evolutionary algorithm for numerical optimization problems with nonlinear constraints , 1995, Proceedings of 1995 IEEE International Conference on Evolutionary Computation.
[27] Dilza Szwarcman,et al. Well Placement Optimization Using a Genetic Algorithm With Nonlinear Constraints , 2009 .
[28] Shahab Mohaghegh,et al. A data-driven smart proxy model for a comprehensive reservoir simulation , 2016, 2016 4th Saudi International Conference on Information Technology (Big Data Analysis) (KACSTIT).
[29] Yván Túpac,et al. Dynamic and recursive oil-reservoir proxy using Elman neural networks , 2016, 2016 IEEE ANDESCON.
[30] Lorenzo Livi,et al. Investigating echo state networks dynamics by means of recurrence analysis , 2016, IEEE Trans. Neural Networks Learn. Syst..
[31] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[32] Eduardo Camponogara,et al. Integrated Methodology for Production Optimization from Multiple Offshore Reservoirs in the Santos Basin , 2017, IEEE Transactions on Automation Science and Engineering.
[33] E. A. Ageh,et al. Using Integrated Production Modeling (IPM) as an Optimization tool for Field Development Planning and Management , 2010 .
[34] Marley M. B. R. Vellasco,et al. Controlling Oil Production in Smart Wells by MPC Strategy With Reinforcement Learning , 2010 .
[35] Lidong Mi,et al. Optimization of Well Location, Type and Trajectory by a Modified Particle Swarm Optimization Algorithm for the PUNQ-S3 Model , 2015 .
[36] Bachar Zineddin,et al. A massively parallel coupled reservoir and surface facilities simulator , 2015, ANSS 2015.
[37] J. Trivedi,et al. Robust optimization of the production profile of the steam assisted gravity drainage reservoir using a polynomial chaos expansion-based proxy model , 2018, 2018 18th International Conference on Control, Automation and Systems (ICCAS).
[38] B. Pradhan,et al. Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms , 2013, Arabian Journal of Geosciences.