Results 11 to 20 of about 3,766,928 (338)

Surrogate model for reservoir performance prediction with time-varying well control based on depth generative network

Petroleum Exploration and Development
This paper proposes a novel intelligent method for defining and solving the reservoir performance prediction problem within a manifold space, fully considering geological uncertainty and the characteristics of reservoirs performance under time-varying ...
Yanchun LI, Deli JIA, Suling WANG, Ruyi QU, Meixia QIAO, He LIU   +5 more
doaj   +3 more sources

Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach.

Physical Review Letters, 2018
Jaideep Pathak, B. Hunt, M. Girvan, Zhixin Lu, E. Ott   +4 more
semanticscholar   +3 more sources

Amplitude-Versus-Angle (AVA) Inversion for Pre-Stack Seismic Data with L0-Norm-Gradient Regularization

Mathematics, 2023
Amplitude-versus-angle (AVA) inversion for pre-stack seismic data is a key technology in oil and gas reservoir prediction. Conventional AVA inversion contains two main stages.
Ronghuo Dai, Jun Yang
doaj   +1 more source

Reservoir Analysis And Recovery Prediction For Cycling Gas-Condensate Reservoirs [PDF]

Fall Meeting of the Society of Petroleum Engineers of AIME, 1965
Publication Rights Reserved This paper was presented at the 40th Annual Fall Meeting of the Society of Petroleum Engineers of AIME, to be held in Denver, Colorado, October 3–6, 1965. Permission to copy is restricted to an abstract of not more than 30 words. Illustrations may not be copied.
O.R. Butterfield, J.D. Clark, E.B. Brauer   +2 more
openaire   +1 more source

Prediction of chaotic time series using recurrent neural networks and reservoir computing techniques: A comparative study

Machine Learning with Applications, 2022
In recent years, machine-learning techniques, particularly deep learning, have outperformed traditional time-series forecasting approaches in many contexts, including univariate and multivariate predictions.
S. Shahi, F. Fenton, E. Cherry
semanticscholar   +1 more source

Application of seismic sedimentology in reservoir prediction in fluvial to shallow water delta facies: A case study in Guantao Formation from the Penglai A structure area in Bohai Bay

地质科技通报, 2021
The Penglai A structure area in the Miaoxinan uplift had good drilling show of oil and gas in the Guantao formation, but reservoir sands with the thickness less than 5 meters could not be resolved and interpreted precisely.Recognition that the source ...
Xin Fu, Xiaofeng Du, Dayong Guan, Jin Li, Xiaohui Li   +4 more
doaj   +1 more source

Water Level Prediction through Hybrid SARIMA and ANN Models Based on Time Series Analysis: Red Hills Reservoir Case Study

Sustainability, 2022
Reservoir water level (RWL) prediction has become a challenging task due to spatio-temporal changes in climatic conditions and complicated physical process.
A. Azad, Rajalingam Sokkalingam, H. Daud, S. Adhikary, Hifsa Khurshid, S. Mazlan, Muhammad Babar Ali Rabbani   +6 more
semanticscholar   +1 more source

Application of SVR attribute fusion constrained by geological model in reservoir description of shallow water delta: A case study of X gas field in Xihu Sag

地质科技通报, 2021
X gas field is located in the central inversion structural belt of Xihu Sag, East China Sea Basin.The main target layer H4 is in shallow water delta sedimentary environment.The dominant frequency of seismic data of the gas field is low (25 Hz), while the
Wenjun Li, Dali Yue, Xianke He, Dongping Duan, Tao Long, Wei Wang, Yinshan Chang   +6 more
doaj   +1 more source

Application of Far-Gather Seismic Attributes in Suppressing the Interference of Coal Beds in Reservoir Prediction

Energies, 2022
The sandstone reservoir of the Pinghu Formation in the Xihu Depression, East China Sea is characterized by great depth, small thickness, radical facies change and a widespread coal bed.
Yunxin Mao, Chunjing Yan, Ruoyu Zhang, Yangsen Li, Min Lou, Luxing Dou, Xinrui Zhou, Xixin Wang   +7 more
doaj   +1 more source

Optical signal processing with a network of semiconductor optical amplifiers in the context of photonic reservoir computing [PDF]

, 2011
Photonic reservoir computing is a hardware implementation of the concept of reservoir computing which comes from the field of machine learning and artificial neural networks.
Bienstman, Peter, Dambre, Joni, Fiers, Martin, Schrauwen, Benjamin, Vandoorne, Kristof, Verstraeten, David   +5 more
core   +2 more sources