Identifying boundary conditions of an oil reservoir flow model from well pressure measurements. Part 1: Homogeneous reservoir by D. I. Usmanov, K. A. Potashev, D. R. Salimyanova

“…A method was outlined for determining the coefficient of third-kind boundary conditions of the piezoconductivity problem in an oil reservoir, particularly on its external contour, which has, as a rule, no specific hydrodynamic properties and is set to reduce computational costs. …”
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An echo state network based on enhanced intersecting cortical model for discrete chaotic system prediction by Xubin Wang, Pei Ma, Jing Lian, Jizhao Liu, Yide Ma

“…The model incorporates a neuron model with internal dynamics, including adaptive thresholds and inter-neuron feedback, into the reservoir structure. A Bayesian Optimization algorithm was employed for the selection of hyperparameters. …”
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An Optimally Oriented Coherence Attribute Method and Its Application to Faults and Fracture Sets Detection in Carbonate Reservoirs by Shuai Chen, Shengjun Li, Qi Ma, Lu Qin, Sanyi Yuan

“…Overall, the OOCA method offers a geologically consistent and computationally efficient solution for high-resolution fault interpretation and drilling risk prediction in structurally complex carbonate reservoirs.…”
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Maximizing oil recovery in sandstone reservoirs through optimized ASP injection using the super learner algorithm by Dike Fitriansyah Putra, Mohd Zaidi Jaafar, Ku Muhd Na’im Khalif, Apri Siswanto, Ichsan Lukman, Ahmad Kurniawan

“…Optimizing the Alkaline-Surfactant-Polymer (ASP) injection process remains a persistent challenge in Enhanced Oil Recovery (EOR), particularly in heterogeneous sandstone reservoirs where traditional reservoir simulators are constrained by high computational demands and limited flexibility. …”
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A New Methodology for the Multilayer Tight Oil Reservoir Water Injection Efficiency Evaluation and Real-Time Optimization by Lin Cao, Jianlong Xiu, Hongjie Cheng, Hui Wang, Shujian Xie, Hui Zhao, Guanglong Sheng

“…This method is applied to quickly optimize the production schedule of a tight oil reservoir with the water flooding treatment, that is, the water injection rate of multilayer reservoirs could be optimized subtly by the injection efficiency of different layers, and the target of producing more oil with lower water cut could be achieved.…”
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Optimization of Offshore Saline Aquifer CO₂ Storage in Smeaheia Using Surrogate Reservoir Models by Behzad Amiri, Ashkan Jahanbani Ghahfarokhi, Vera Rocca, Cuthbert Shang Wui Ng

“…Machine learning-based Surrogate Reservoir Models (SRMs) can replace/augment multi-physics numerical simulations by replicating the reservoir simulation results with reduced computational effort while maintaining accuracy compared with numerical simulations. …”
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The Application of Artificial Digital Models in X-Ray Computed Tomography (CT) of the Core in Solving the Problem of Binarization of the Void Space of Reservoir Rocks by O. A. Melkishev, Y. V. Savitsky, S. V. Galkin

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Enhanced Ferroelectricity of Hf‐Based Memcapacitors by Adopting Ti Insert‐Layer and C–V Measurement for Constructing Energy‐Efficient Reservoir Computing Network by Bo Chen, Yifang Wu, Yizhi Liu, Xiaopeng Li, Lu Tai, Pengpeng Sang, Jixuan Wu, Xuepeng Zhan, Jiezhi Chen

“…Subsequently, a full hardware‐implemented hierarchical parallel reservoir computing (RC) network is constructed using 34 HZO memcapacitive synapses. …”
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Enhanced water saturation estimation in hydrocarbon reservoirs using machine learning by Ali Akbari, Ali Ranjbar, Yousef Kazemzadeh, Dmitriy A. Martyushev

“…Abstract Accurate estimation of water saturation (Sw) is essential for optimizing oil recovery strategies and is a key component in petrophysical analyses of hydrocarbon reservoirs. …”
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A plunger lifting optimization control method based on APSO-MPC for edge computing applications by Zhi Qiu, Lei Zhang, He Zhang, Haibo Liang, Yinxian Li

“…Traditional time-based plunger lift methods use reservoir energy to remove liquid, but model-based optimization has since emerged. …”
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Parallelizing Comprehensive Learning Particle Swarm Optimization by Open Computing Language on an Integrated Graphical Processing Unit by Xiang Yu, Yu Qiao, Qingpeng Li, Gang Xu, Chuanxiong Kang, Claudio Estevez, Chengzhi Deng, Shengqian Wang

“…This paper further investigates parallelizing deterministic optimization for implicit stochastic optimization of China’s Xiaowan Reservoir. …”
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Research on Reservoir History Matching Method Based on Real⁃Coded Genetic Algorithm and Connectivity Model by Ainiwaer AILIYAER, Chunli ZHAO, Feng LIU

“…As gradient⁃based methods face challenges in computing the gradient of the objective function, intelligent optimization algorithms with stochastic properties are widely applied in reservoir optimization processes. …”
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Optimization of Well Locations and Trajectories: Comparing Sub-Vertical, Sub-Horizontal and Multi-Lateral Well Concepts for Marginal Geothermal Reservoir in The Netherlands by Eduardo G. D. Barros, Slawomir P. Szklarz, Negar Khoshnevis Gargar, Jens Wollenweber, Jan Diederik van Wees

“…This study presents a framework based on computer-assisted optimization to support practitioners in selecting the most suitable well concept for the exploitation of such marginal geothermal reservoirs. …”
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Recent Trends in Proxy Model Development for Well Placement Optimization Employing Machine Learning Techniques by Sameer Salasakar, Sabyasachi Prakash, Ganesh Thakur

“…Proxy models are a computationally less expensive alternative to traditional reservoir simulation techniques since they approximate complex simulations with simpler models. …”
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Approaches to Proxy Modeling of Gas Reservoirs by Alexander Perepelkin, Anar Sharifov, Daniil Titov, Zakhar Shandrygolov, Denis Derkach, Shamil Islamov

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Integrated 3D Geological Modeling, Stress Field Modeling, and Production Simulation for CBM Development Optimization in Zhengzhuang Block, Southern Qinshui Basin by Zhong Liu, Hui Wang, Xiuqin Lu, Qianqian Zhang, Yanhui Yang, Tao Zhang, Chen Zhang, Zihan Wang

“…The integrated methodology provides a technical foundation for optimizing well patterns, enhancing hydraulic fracturing efficacy, and improving residual gas recovery in heterogeneous CBM reservoirs.…”
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Proposition of New Metaphor-Less Algorithms for Reservoir Operation by Vartika Paliwal, Aniruddha D. Ghare, Ashwini B. Mirajkar, Neeraj Dhanraj Bokde, Zaher Mundher Yaseen

“…Consequently, the Rao-1 model is found to be superior to these approaches by taking less computational time. Hence, the Rao-1 algorithm can be considered suitable for application to reservoir operation optimization problems.…”
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Acceleration of Gas Reservoir Simulation Using Proper Orthogonal Decomposition by Yi Wang, Bo Yu, Ye Wang

“…The improved POD model shows much higher acceleration of computation with high precision for different reservoirs and different pressures. …”
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Characterization and application of flow heterogeneity in high water cut reservoirs by ZHANG Min, JIN Zhongkang, FENG Xubo

“…Conducting quantitative evaluation of flow field differences can effectively guide the optimization and control of underground flow fields, mobilize and exploit various types of remaining oil, and enhance the waterflooding recovery efficiency of the reservoir. …”
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CNN Assisted Dual Reservoir Hybrid Network for Power Consumption Forecasting by Hammad I. Sherazi, Omar Alrumayh, Shabana Habib, Abdulrahman Alsafrani, Muhammad Islam, Hedi A. Guesmi

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