Results 301 to 310 of about 3,766,928 (338)

Seismic Fluid Prediction in Heterogeneous Reservoirs

68th EAGE Conference and Exhibition incorporating SPE EUROPEC 2006, 2006
As we are running out of oil, and the oil price is reaching new hights, the oil industry is increasing the focus on exploration and production of heterogeneous reservoirs. In this paper we focus on the rock physics of shaly sands, and how different types of clay configurations will affect the rock stiffness and pore fluid sensitivity.
P.A. Avseth, A.J. van Wijngaarden, T.A. Johansen, G. Mavko   +3 more
openaire   +1 more source

Seismic Reservoir Prediction Technology

2023
Lirong Dou, Kunye Xiao, Jingchun Wang
openaire   +1 more source

Study on Water Quality Prediction of Urban Reservoir by Coupled CEEMDAN Decomposition and LSTM Neural Network Model

Water resources management, 2022
Lei Zhang, Zhi-qiang Jiang, Shanshan He, Jiefeng Duan, Pengfei Wang, Tinggang Zhou   +5 more
semanticscholar   +1 more source

Deformation prediction of reservoir landslides based on a Bayesian optimized random forest-combined Kalman filter

Environmental Earth Sciences, 2022
N. Zhang, Wei Zhang, K. Liao, Hongbo Zhu, Qi Li, Jing-Tao Wang   +5 more
semanticscholar   +1 more source

Research on displacement prediction of step-type landslide under the influence of various environmental factors based on intelligent WCA-ELM in the Three Gorges Reservoir area

Natural Hazards, 2021
Yong-gang Zhang, Xin-quan Chen, Rao-ping Liao, Jun Wan, Zheng-ying He, Zien Zhao, Yan Zhang, Zheng-yang Su   +7 more
semanticscholar   +1 more source

A comparative study of different machine learning methods for reservoir landslide displacement prediction

Engineering Geology, 2022
yankun wang, Huiming Tang, Jinsong Huang
exaly  

Comprehensive evaluation of machine learning models for suspended sediment load inflow prediction in a reservoir

Stochastic environmental research and risk assessment (Print), 2021
M. Idrees, Muhammad Jehanzaib, Dongkyun Kim, Tae‐Woong Kim   +3 more
semanticscholar   +1 more source

A systematic machine learning method for reservoir identification and production prediction

Petroleum Science, 2023
Wei Liu
exaly  

Optical Wavefront Prediction with Reservoir Computing

2010
Over the last four decades there has been considerable research in the improvement of imaging exo-atmospheric objects through air turbulence from ground-based instruments. Whilst such research was initially motivated for military purposes, the benefits to the astronomical community have been significant.
openaire   +2 more sources

Predicting Oil Reservoir Performance

2005
Tarek Ahmed, Paul D. McKinney
openaire   +1 more source