The rapid growth of deep learning research, including within the field of computational
mechanics, has resulted in an extensive and diverse body of literature. To help researchers …

Seismic inversion is one of the fundamental techniques for solving geophysics problems. To
obtain the elastic parameters or petrophysical parameters, it is necessary to establish a …

Seismic inversion is a fundamental tool in geophysical analysis, providing a window into
Earth. In particular, it enables the reconstruction of large-scale subsurface Earth models for …

Known for its great potential for determining subsurface properties quantitatively, full-
waveform inversion (FWI) is a hot topic in the field of exploration seismology. The success of …

The rapid growth of deep learning research, including within the field of computational
mechanics, has resulted in an extensive and diverse body of literature. To help researchers …

As the size and complexity of data soars exponentially, machine learning (ML) has gained
prominence in applications in geoscience and related fields. ML-powered technology …

We have trained a neural network to estimate the near surface Vs profile directly from phase
velocity vs. frequency panels. These panels are constructed from the raw shot gathers with …

CMP 道集NMO 叠加速度分析拾取的时间-速度对不仅受到水**层状介质假设的限制,
而且在复杂构造低信噪比数据的适用性方面受到限制. 提出了基于卷积神经网络和叠加速度谱的 …

速度建模技术的自动化是走向智能化建模的基础, 基于CMP 道集的叠加速度分析技术是业界
常用的初始速度建模方法, 也是整个速度建模流程的起点.“两宽一高” 观测系统采集到的地震数据 …

Seismic inversion is a fundamental tool in geophysical analysis, providing a window into the
Earth. In particular, it enables the reconstruction of large scale subsurface earth models for …