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Assessing reservoir heterogeneity using the turbulence factor as an effective tool for hydraulic flow unit classification for BM-85 Well, Gulf of Suez, Egypt. [PDF]
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Architectural richness in deep reservoir computing
Neural Computing and Applications, 2022Reservoir computing (RC) is a popular class of recurrent neural networks (RNNs) with untrained dynamics. Recently, advancements on deep RC architectures have shown a great impact in time-series applications, showing a convenient trade-off between predictive performance and required training complexity.
Gallicchio C., Micheli A.
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Hierarchical Memcapacitive Reservoir Computing Architecture
2019 IEEE International Conference on Rebooting Computing (ICRC), 2019The quest for novel computing architectures is currently driven by (1) machine learning applications and (2) the need to reduce power consumption. To address both needs, we present a novel hierarchical reservoir computing architecture that relies on energy-efficient memcapacitive devices.
Tran, S. J. Dat, Teuscher, Christof
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FREEMAN'S K MODELS AS RESERVOIR COMPUTING ARCHITECTURES
New Mathematics and Natural Computation, 2009Walter Freeman in his classic 1975 book "Mass Activation of the Nervous System" presented a hierarchy of dynamical computational models based on studies and measurements done in real brains, which has been known as the Freeman's K model (FKM). Much more recently, liquid state machine (LSM) and echo state network (ESN) have been proposed as universal ...
MUSTAFA C. OZTURK, JOSE C. PRINCIPE
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Reservoir Architecture and Tough Gas Reservoir Potential of Fluvial Crevasse-splay Deposits
Proceedings, 2015Unconventional tough gas reservoirs in low-net-to-gross fluvial stratigraphic intervals may constitute a secondary source of fossil energy to prolong the gas supply in the future. To date, however, production from these thin-bedded, fine-grained reservoirs has been hampered by the economic risks associated with the uncertainties in their geometry ...
Van Toorenenburg, K.A. (author) +2 more
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Simplifying Deep Reservoir Architectures [PDF]
, 2020 We study the impact of architectural simplifications to the design of deep Reservoir Computing (RC) models. To do so, we analyze the effects of shaping the structure of reservoir matrices, reducing the complexity of the deep recurrent network to a minimal setup.
Claudio Gallicchio +2 more
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Reservoir Architecture Model for Heterolithic Tidal Deposits
65th EAGE Conference & Exhibition, 2003P034 RESERVOIR ARCHITECTURE MODEL FOR HETEROLITHIC TIDAL DEPOSITS 1 M.E. DONSELAAR and C.R. GEEL Delft University of Technology Dept. of Applied Earth Sciences. PO Box 5028 2600 GA Delft The Netherlands Summary In this paper we present a reservoir analogue study of heterolithic deposits in a Holocene tidal basin in the shallow subsurface of The ...
M.E. Donselaar, C.R. Geel
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Proceedings, 2011
Seismic Driven Reservoir Characterization: Case Studies of Reservoir Architecture Definition and Reservoir Rock Properties ...
G. Gonzales, Y. Boisseau
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Seismic Driven Reservoir Characterization: Case Studies of Reservoir Architecture Definition and Reservoir Rock Properties ...
G. Gonzales, Y. Boisseau
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Optimum Optical Architectures for Seismic Reservoir Monitoring
Proceedings of Offshore Technology Conference, 2008Abstract Fibre-optic seismic sensing systems for permanent seismic reservoir monitoring have received significant recent interest. Such technology offers the benefits of increased reliability and lower through life cost compared to existing systems based on electrical sensors.
alan Strudley, Philip Nash
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