14 citations · 26 across the 8 of their papers we have counts for
4 papers · 1 filter
DeFault: Deep-learning-based Fault Delineation Using the IBDP Passive Seismic Data at the Decatur CO2 Storage Site
Hanchen Wang, Yinpeng Chen, Tariq Alkhalifah +3
The carbon capture, utilization, and storage (CCUS) framework is an essential component in reducing greenhouse gas emissions, with its success hinging on the comprehensive knowledg…
Micro-seismic Elastic Reflection Full Waveform Inversion with An Equivalent Source
Hanchen Wang, Qiang Guo, Tariq Alkhalifah
In micro-seismic event measurements, pinpointing the passive source's exact spatial and temporal location is paramount. This research advocates for the combined use of both P- and…
: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
Shihang Feng, Hanchen Wang, Chengyuan Deng +6
Elastic geophysical properties (such as P- and S-wave velocities) are of great importance to various subsurface applications like CO sequestration and energy exploration (e.g.,…
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning
Tariq Alkhalifah, Hanchen Wang, Oleg Ovcharenko
Among the biggest challenges we face in utilizing neural networks trained on waveform data (i.e., seismic, electromagnetic, or ultrasound) is its application to real data. The requ…