Reservoir Permeability Prediction Based on Analogy and Machine Learning Methods: Field Cases in DLG Block of Jing’an Oilfield, China [PDF]
, 2022 Reservoir permeability, generally determined by experimental or well testing methods, is an essential parameter in the oil and gas field development. In this paper, we present a novel analogy and machine learning method to predict reservoir permeability.
Shiqing Cheng +6 more
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Probabilistic Prediction of Satellite-Derived Water Quality for a Drinking Water Reservoir [PDF]
, 2023 A Bayesian network-based modelling framework was proposed to predict the probability of exceeding critical thresholds for chlorophyll-a and turbidity in an Australian subtropical drinking water reservoir, based on Sentinel-2 data and prior knowledge. The
Sara Peters Hughes +3 more
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Coupled data-driven and process-based model for fluorescent dissolved organic matter prediction in a shallow subtropical reservoir [PDF]
, 2021 Monitoring and understanding the dissolved organic matter (DOM) cycle in a drinking water reservoir is crucial to water authorities, since most water treatment practices aim to remove DOM to prevent the formation of potentially harmful disinfection by ...
Wang, X +4 more
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Robust Method for Reservoir Simulation History Matching Using Bayesian Inversion and Long-Short-Term Memory Network-Based Proxy [PDF]
, 2023 History matching is a critical process used for calibrating simulation models and assessing subsurface uncertainties. This common technique aims to align the reservoir models with the observed data.
Zhen Zhang +9 more
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Application of machine deep learning technology in tight sandstones reservoir prediction: A case study of Xujiahe Formation in Xinchang, western Sichuan Depression [PDF]
, 2023 The second member of Xujiahe Formation in Xinchang western Sichuan Depression, a tight sandstone reservoir, exhibits strong heterogeneity and thin reservoir characteristics. Previous interpretations of lithology and reservoir properties obtained directly
QIAN Yugui
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Reservoir computing with output feedback [PDF]
, 2011 Reinhart RF. Reservoir computing with output feedback. Bielefeld: Bielefeld University; 2011.A dynamical system approach to forward and inverse modeling is proposed. Forward and inverse models are trained in associative recurrent neural networks that are
Reinhart, René Felix, Reinhart, Felix
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Prediction of reservoir permeability by deep belief network based on optimized parameters [PDF]
, 2021 Reservoir permeability is an important factor affecting reservoir productivity. In order to solve the problem of poor prediction accuracy of conventional permeability logging models in low-permeability sandstone reservoirs with poor pore connectivity, a ...
ZHAO Jun +5 more
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Development of Modified LSTM Model for Reservoir Capacity Prediction in Huanggang Reservoir, Fujian, China [PDF]
, 2022 The Huanggang Reservoir capacity is affected by a variety of factors. In order to accurately understand the Huanggang Reservoir capacity change, we develop a new hydrological prediction model based on the LSTM (Long-Short-Term Memory) method, which is ...
Bibo Dai +7 more
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Poststack fracture prediction technology of shale gas reservoir based on combination of well and seismic in Nanchuan [PDF]
, 2022 Natural fractures are well developed in shale gas reservoirs, which have great influence on reservoir reconstruction and later fracturing effect. Therefore, the fracture prediction is carried out by ant tracking technology based on the combination of ...
SUN Xiaoqin
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Reservoir Drought Prediction Using Support Vector Machines [PDF]
, 2011 In Taiwan, even though the average annual rainfall is up to 2500 mm, water shortage during the dry season happens sometimes. Especially in recent years, water shortage has seriously affected the agriculture, industry, commerce, and even the essential ...
Jie Lun Chiang, Yu Shiue Tsai
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