Results 131 to 140 of about 619,673 (171)

Automated Seismic Horizon Picking Using Vision Transformer

2024 3rd International Conference on Artificial Intelligence and Software Engineering (ICAISE)
Horizon picking is essential in seismic interpretation due to its impact on subsequent processes. Traditional manual and automatic methods are time-consuming and dependent on human expertise.
John Oluwadamilola Olutoki, Numair Ahmed Siddiqui, Mohamed Elsaadany, Maman Hermena, Oluwaseun Daniel Akinyemi, Zhaoyang Zhao, Baskaran Venkateshwaran   +6 more
openaire   +2 more sources

Automatic horizon picking using multiple seismic attributes

SEG Technical Program Expanded Abstracts 2018, 2018
Yihuai Lou, Bo Zhang
openaire   +2 more sources

Ten Months After Deepwater Horizon , Picking Up the Remnants of Health Data

Science, 2011
On 28 February, after 10 months of hearing anecdotal stories of flulike symptoms, rashes, heat stroke, and stress from cleanup workers in the Gulf of Mexico, the U.S. Department of Health and Human Services launched the long-awaited Gulf Long-term Follow-up Study.
Sara Reardon
openaire   +2 more sources

Seismic Horizon Picking Using Deep Learning With Multiple Attributes

IEEE Transactions on Geoscience and Remote Sensing
Seismic horizon interpretation is a fundamental task in subsurface exploration, essential for understanding formation geometry, characterizing reservoir properties, and supporting drilling operations.
Sanyi Yuan, Yue Yu, Wenjing Sang, Renjun Xie, Changsuo Zhou, Shuai Chen   +5 more
openaire   +2 more sources

Automatic horizon picking by using the strategy of jigsaw puzzle

SEG Technical Program Expanded Abstracts 2020, 2020
Bo Zhang, Yihuai Lou, Xiwu Liu
openaire   +2 more sources

Horizon Auto-Picking with Quantitative Uncertainty Evaluation by Using a Modified Vq-Vae Network

83rd EAGE Annual Conference & Exhibition, 2022
In this paper, we propose a novel approach of deep-learning-based seismic horizon auto-picking that introduces a modified vector quantized variational autoencoder (VQ-VAE) framework to improve the accuracy of seismic horizon interpretation and, for the
C. Yuan, M. Su, C. Ni, Y. Xu, X. Cui
openaire   +2 more sources

Automatic Horizon Picking Algorithms for Multidimensional Data

61st EAGE Conference and Exhibition, 1999
3-D acquisition results in a 5-D prestack data volume that is irregularly (and sparsely) sampled. When dealing with sparse data, processing algorithms that simultaneously focus the informations from many traces (e.g. PSD migration, noise suppression, etc.) are severely hampered.
BIENATI, NICOLA, NICOLI, MONICA BARBARA, SPAGNOLINI, UMBERTO   +2 more
openaire   +2 more sources

Horizon Picking on Subbottom Profiles Using Wavelet Multiresolution Analysis

IEEE Journal of Oceanic Engineering
Horizon picking underpins the interpretation of subbottom profile (SBP) data, acoustical inversion, and related applications. We present a horizon-picking method based on an improved wavelet multiresolution analysis.
Jianjun Zhu, Guojian Dai, Peihong Wang, Tie Li, Xinbao Meng   +4 more
openaire   +2 more sources

Automatic 3D horizon picking using a volumetric transformer-based segmentation network

Journal of Applied Geophysics
Xiaofang Liao, Junxing Cao, Feng Tan, Jachun You   +3 more
openaire   +2 more sources

Hopfield neural network for seismic horizon picking

SEG Technical Program Expanded Abstracts 1997, 1997
Kou-Yuan Huang
openaire   +2 more sources