Algorithm for Intelligent Recognition Low-Grade Seismic Faults Using Codec Target Edges
T Han, R Ding, S Zhao, Y Ma, C Su… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
The development of remaining oil plays an important role in increasing late production, and
low-grade faults seriously impact residual oil exploration and development. Low-grade faults …
low-grade faults seriously impact residual oil exploration and development. Low-grade faults …
Augmented deep learning workflow for robust fault prediction over multiple tectonic regimes
H Chen, D Tang, Y Liu, H Gu… - Journal of Geophysics and …, 2022 - academic.oup.com
Over the past decade, deep learning frameworks such as convolutional neural networks
(CNNs) have made major research inroads in upstream oil and gas, with applications in …
(CNNs) have made major research inroads in upstream oil and gas, with applications in …
[HTML][HTML] 基于S 变换与复值U-Net 网络的地震资料高分辨率处理方法
李子航, 陈小宏, 李景叶, 王建花, 张俊杰, 耿伟恒 - 石油物探, 2023 - html.rhhz.net
地震资料高分辨率处理方法通过拓展频带范围有效地提高了地震资料的精度. 迄今为止,
基于深度学习的高分辨率处理方法仅在时域中进行特征提取, 忽视了地震数据的频域信息 …
基于深度学习的高分辨率处理方法仅在时域中进行特征提取, 忽视了地震数据的频域信息 …
[HTML][HTML] 基于空间—波数域联合深度学习的数值频散压制
张岩, 崔淋淇, 宋利伟, 董宏丽 - 石油地球物理勘探, 2022 - html.rhhz.net
张岩, 崔淋淇, 宋利伟, 董宏丽. 基于空间—波数域联合深度学习的数值频散压制.
石油地球物理勘探, 2022, 57 (3): 510-524. DOI: 10.13810/j. cnki. issn. 1000-7210.2022 …
石油地球物理勘探, 2022, 57 (3): 510-524. DOI: 10.13810/j. cnki. issn. 1000-7210.2022 …
[HTML][HTML] 融入先验信息的深度学习地震子波振幅谱估计
黄颜茹, 高静怀, 陈红灵, 姜秀娣 - 石油地球物理勘探, 2021 - html.rhhz.net
地震子波的提取对于地震资料处理有着至关重要的作用. 地震子波由振幅谱与相位谱表征,
因此估计地震子波的振幅谱是关键步骤. 常用的地震子波振幅谱提取方法对反射系数类型以及 …
因此估计地震子波的振幅谱是关键步骤. 常用的地震子波振幅谱提取方法对反射系数类型以及 …
Application of Multi-attribute Clustering Technology to Description of Fault-Controlled Fracture-Cavity Reservoirs in Changxing Formation, Longgang Area
S Han, S Wang, H Lan, Z Wang - International Field Exploration and …, 2023 - Springer
Abstract The Changxing Formation in Longgang area has developed subtle faults and
developed fracture-cavity reservoirs in the platform facies. It has great exploration potential …
developed fracture-cavity reservoirs in the platform facies. It has great exploration potential …
Research on Earthquake Detection Based on Machine Learning
D Gai, T Tang, H Li - International Conference on Frontier Computing, 2023 - Springer
Accurate and efficient detection of each earthquake is an important foundation for
earthquake work. However, at present, due to the lack of observation data information, the …
earthquake work. However, at present, due to the lack of observation data information, the …
Attribute Constraint-based 3D Res-UNet Network, Probability Grading and Fusion Display for Fault Reliability Evaluation
Z Liu, J Zhang, F Lu, R Meng, Y Sun - 84th EAGE Annual Conference & …, 2023 - earthdoc.org
There are many difficulties in interpreting and describing complex fault block reservoirs,
such as complex tectonic anomalies, low signal-to-noise ratio, unclear fault points, and the …
such as complex tectonic anomalies, low signal-to-noise ratio, unclear fault points, and the …