Results 41 to 50 of about 22,545,449 (395)

Seismic data interpolation based on U-net with texture loss [PDF]

Geophysics, 2019
Seismic data interpolation is an effective way of recovering missing traces and obtaining enough information for subsequent processing. Unlike traditional methods, deep neural network (DNN)-based methods do not need to make assumptions because they can ...
Wenqian Fang, Lihua Fu, Meng Zhang, Zhiming Li   +3 more
semanticscholar   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Rock Physical Modeling of Tight Sandstones Based on Digital Rocks and Reservoir Porosity Prediction From Seismic Data

Frontiers in Earth Science, 2022
Digital rock physics (DRP) has become an important tool to analyze the characteristics of pore structures and minerals and reveal the relationships between microscopic structures and the physical properties of reservoirs. However, it is greatly difficult
Wei Guo, Wei Guo, Chunmei Dong, Chunmei Dong, Chengyan Lin, Chengyan Lin, Yuqi Wu, Yuqi Wu, Xianguo Zhang, Xianguo Zhang, Jinshuai Liu, Jinshuai Liu   +11 more
doaj   +1 more source

Distinct expressions of the BSR using various frequencies offshore Uruguay and its correspondence with the gas hydrate stability zone [PDF]

, 2011
At the Uruguayan continental margin, seismic evidence for the occurrence of gas hydrate has been identified based on the presence of BSRs in densely spaced 2D reflection seismic sections from different surveys.
de Santa Ana, Héctor, Krastel, Sebastian, Preu, Benedict, Schwenk, Tilmann, Spiess, Volkhard, Tomasini, Juan   +5 more
core  

Tunable Plug‐and‐Play Meta‐Nanogenerator Materials for Multi‐Range Force Measurements

Advanced Science, EarlyView.
The multifunctional and tunable meta‐nanogenerator material system combines a mechanical metamaterial and a triboelectric nanogenerator enabling self‐powered, real‐time force sensing across application‐specific ranges. Geometrical tuning adjusts stiffness and the force sensing range, while modular integration streamlines assembly.
Roshira Premadasa, Pouya Almasi, Samriddhi Ghimire, Wenkui Dong, Chenjie Zhang, Pengcheng Jiao, Qianyun Zhang   +6 more
wiley   +1 more source

Pore pressure prediction based on rock stress applied to Marmousi seismic data

Brazilian Journal of Geology, 2022
This paper focuses on the modeling of a sedimentary basin where the exploration of oil and gas takes place. In the modeling, we calculate the vertical variation of pore and rock pressure, which serve as natural pumps for the accumulation of fluids, where
Lourenildo Williame Barbosa Leite, Fernando de Tassio Barros de Andrade   +1 more
doaj   +1 more source

A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal [PDF]

, 2014
Unveiling meaningful geophysical information from seismic data requires to deal with both random and structured "noises". As their amplitude may be greater than signals of interest (primaries), additional prior information is especially important in ...
Chaux, Caroline, Duval, Laurent, Pesquet, Jean-Christophe, Pham, Mai Quyen   +3 more
core   +6 more sources

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

Advanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova, Norelli Schettini, Winston Percybrooks, Begoña García‐Zapirain   +3 more
wiley   +1 more source

COMPILATION OF ACTIVE FAULT DATA IN PORTUGAL FOR USE IN SEISMIC HAZARD ANALYSIS [PDF]

, 2010
To estimate where future earthquakes are likely to occur, it is essential to combine information about past earthquakes with knowledge about the location and seismogenic properties of active faults.
Besana-Ostman, G.M., Bezzeghoud, M., Borges, J.F., Brum da Silveira, A., Cabral, J., Carvalho, J., Dias, R.P., Figueiredo, P.M., Fonseca, J., Lopes, F.C., Madeira, J., Matias, L., Nemser, E.S., Perea, H., Silva, S., Terrinha, P., Vilanova, S., Wong, L.G.   +17 more
core  

Expected seismicity and the seismic noise environment of Europa [PDF]

, 2017
Seismic data will be a vital geophysical constraint on internal structure of Europa if we land instruments on the surface. Quantifying expected seismic activity on Europa both in terms of large, recognizable signals and ambient background noise is ...
Huang, Hsin-Hua, Kedar, Sharon, Lorenz, Ralph D., Panning, Mark P., Pike, W. T., Stähler, Simon C., Tsai, Victor C., Vance, Steven D.   +7 more
core   +3 more sources