Results 31 to 40 of about 3,766,928 (338)
Reservoir properties prediction in carbonate reservoirs
, 2010 Prediction of fluid pressure before drilling, using geophysical methods helps the industry a lot in saving human life, drilling hazards, and equipments.There are several geophysical methods available to predict the fluid pressure before drilling but the most commonly used in the industry are those based on seismic velocities.
AlBinHassan, Nasher M. +1 more
openaire +3 more sources
Petroleum Exploration and Development, 2009 On the basis of high-resolution sequence stratigraphy, this paper establishes a sequence stratigraphic frame, and predicts reservoirs by analyzing velocity field, seismic inversion, and seismic attributes.
Li Jinsong +5 more
doaj +1 more source
CT Lilun yu yingyong yanjiu, 2022 Due to that the main reservoirs of the X gas field in the East China Sea were deeply buried and have large lateral changes, the conventional seismic data resulted in poor quality and low resolution, which couldn’t meet the increasingly refined geological
Wei HU +4 more
doaj +1 more source
Experimental Observation of Environment-induced Sudden Death of Entanglement [PDF]
, 2007 We demonstrate the difference between local, single-particle dynamics and global dynamics of entangled quantum systems coupled to independent environments. Using an all-optical experimental setup, we show that, while the environment-induced decay of each
Almeida, M. P. +6 more
core +2 more sources
Viral genomic features predictorthopoxvirusreservoir hosts
Communications Biology, 2023 AbstractOrthopoxviruses (OPVs), including the causative agents of smallpox and mpox have led to devastating outbreaks in human populations worldwide. However, the discontinuation of smallpox vaccination, which also provides cross-protection against related OPVs, has diminished global immunity to OPVs more broadly.
Katie K. Tseng +6 more
openaire +4 more sources
Multi-reservoir echo state networks with sequence resampling for nonlinear time-series prediction
Neurocomputing, 2021 In this paper, we consider various schemes of sequence resampling in reservoir computing models for nonlinear time series prediction. These schemes can enrich the features used for training the readout part with batch learning and lead to better ...
Ziqiang Li, G. Tanaka
semanticscholar +1 more source
Large-Scale Optical Reservoir Computing for Spatiotemporal Chaotic Systems Prediction [PDF]
Physical Review X, 2020 Reservoir computing is a relatively recent computational paradigm that originates from a recurrent neural network, and is known for its wide-range of implementations using different physical technologies.
M. Rafayelyan +4 more
semanticscholar +1 more source
Simulating California reservoir operation using the classification and regression-tree algorithm combined with a shuffled cross-validation scheme [PDF]
, 2016 The controlled outflows from a reservoir or dam are highly dependent on the decisions made by the reservoir operators, instead of a natural hydrological process.
Gao, X, Li, X, Sorooshian, S, Yang, T
core +2 more sources
Training Echo State Networks with Regularization through Dimensionality Reduction [PDF]
, 2016 In this paper we introduce a new framework to train an Echo State Network to predict real valued time-series. The method consists in projecting the output of the internal layer of the network on a space with lower dimensionality, before training the ...
Bianchi, Filippo Maria +2 more
core +2 more sources
Advances in Geo-Energy Research, 2019 The use of seismic exploration technique to provide reliable reservoir information is a conventional method. However, due to its quality and resolution reasons, it cannot satisfy the detailed research and characterization of reservoirs, especially the ...
Q. Wendao, Y. Taiju, H. Guowei
semanticscholar +1 more source