Results 231 to 240 of about 1,905,573 (291)

Predicting Algal Bloom Dynamics in Drinking Water Reservoirs Using High-Frequency In Situ Data and Machine Learning. [PDF]

Toxins (Basel)
Wang J, Jiang M, Wang S, Wang Z, Cui Y, Feng Y, Zhang S, Cai M, Zhong Y.   +8 more
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Identifying the key environmental drivers of chlorophyll-a in the Danjiangkou reservoir using interpretable machine learning. [PDF]

Sci Rep
Sun W, Wu W, Liu X, Peng W, Zhou H, Zhang Y, Guo X.   +6 more
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Inflow prediction and modelling for a seasonal flow reservoir

Water-Energy Nexus
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Prediction of Reservoir Storage in Ungauged Reservoirs by Grouping Reservoir Characteristics

Crisis and Emergency Management: Theory and Praxis, 2021
The reservoir in Korea is managed by the local government and Korea Rural Community Corporation. About 97% of agricultural reservoirs managed by local governments are ungauged reservoirs, and the water supply amount from the reservoirs is estimated by an indirect method.
Da Ye Kim, Seung Jin Maeng, Seung Wook Lee, Eun Bi Hong, Hyeon Cheol Yoon, Ju Ha Hwang, Won Beom Kim   +6 more
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Waterflood Prediction Of Partially Depleted Reservoirs

SPE California Regional Meeting, 1963
Publication Rights Reserved This paper is to be presented at the California Regional Meeting of the Society of Petroleum Engineers of AIME in Santa Barbara, Calif., on Oct. 24–25, 1963, and is considered the property of the Society of Petroleum Engineers.
R.V. Higgins, A.J. Leighton
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On the Use of Reservoir Computing in Popularity Prediction

2010 2nd International Conference on Evolving Internet, 2010
Predicting the life cycle and the short-term popularity of a Web object is important for network architecture optimization. In this paper, we attempt to predict the popularity of a Web object given its historical access records using a novel neural network technique, reservoir computing (RC).
Wu T., Timmers M., De Vleeschauwer D., Van Leekwijck W.   +3 more
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Seismic Spectral Decomposition for Reservoir Prediction In Glaciogenic Reservoirs

Proceedings, 2017
The present paper will focus on how to use Seismic Spectral Decomposition and RGB blending applied to a glaciogenic reservoir in Norht Africa aimed to obtain reservoir de-risking maps by calibrating and performing supervised classifications to Spectral Decomp outputs in order to be able to reduce uncertainties regarding the prediction of reservoir ...
F.J. Bataller Torre, A. Moscariello, N. McDougall   +2 more
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Multiple prediction and reservoir characterization of a tight sand reservoir

SEG Technical Program Expanded Abstracts 2008, 2008
In reservoir property prediction, estimations of presence and thickness of reservoir are often found to be erroneous by drilling results. The reservoir in this study is onshore tight sand gas reservoir with a low impedance contrast between reservoir sands and encasing shale.
Bo Zhao, Friso Brouwer, Fred Aminzadeh, Stan Morris, Ron Harris   +4 more
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Software for Reservoir Performance Prediction

SPE Nigeria Annual International Conference and Exhibition, 2015
Abstract Predicting the performance of reservoirs helps engineers to estimate reserve, development planning which requires detailed understanding of the reservoir characteristics and production operations optimization and more importantly, to develop a mathematical model that will adequately depict the physical processes occurring in the
Okotie Sylvester, Onyekonwu M.O.
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Reservoir Performance Prediction

2018
Reservoir performance prediction is a key aspect of the oil and gas field development planning and reserves estimation which depicts the behaviour of the reservoir in the future; its success is dependent on accurate description of the reservoir rock properties, fluid properties, rock-fluid properties and flow performance.
Sylvester Okotie, Bibobra Ikporo
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