Results 91 to 100 of about 3,297,474 (208)

Matching-Filter Based Extended Full Waveform Inversion

, 2019
Extended waveform inversion provides an effective way to mitigate cycle skipping that usually occurs in conventional full waveform inversion (FWI), resulting in an inaccurate local minimum model.
Y. Li, Li, Y., Alkhalifah, Tariq Ali, T. Alkhalifah   +3 more
core   +1 more source

A brief exploration of open-source gradient-based numerical optimization Python libraries for full-waveform inversion

Seismica
Geoscientists favor Python for its user-friendly interface and scientific packages that support application implementation. Python's capabilities make it particularly useful for seismic full waveform inversion (FWI), which can see its implementation ...
Oscar Mojica
doaj   +1 more source

Tunnel reconnaissance by seismic full waveform inversion

, 2020
Seismische Vorauserkundung ist ein wichtiges Werkzeug für das sichere Auffahren im maschinellen Tunnelbau. Heute werden bereits verschiedene Systeme angewendet, die die Einsatzzeiten unterschiedlicher seismischer Phasen analysieren.
Lamert, Andre (M. Sc.)
core   +1 more source

ACCELERATED 2D FWI USING THE SYMMETRY ON INNER PRODUCT SPACES

CT&F Ciencia, Tecnología & Futuro
Full Waveform Inversion (FWI) is a common technique used in the oil and gas industry due to its capabilities to estimate subsurface characteristics such as material's density and sound velocity with high resolution. The 2D time domain FWI method involves
Reynaldo-Fabian Noriega, Sergio-Alberto Abreo, Ana-B Ramirez   +2 more
doaj   +1 more source

Thermoelastic full-waveform inversion for joint estimation of subsurface temperature and seismic velocities in geothermal exploration

Energy Geoscience
Seismic exploration is the most precise geophysical method for investigating and forecasting subsurface resources, yet its conventional fully elastic assumption neglects temperature effects, limiting its utility in geothermal studies.
Sen Yang, Benbing Ren, Xinmin Wu, Hao Xu, Tao Yang, Yingkai Qi, Zheng Qin, Kelin Chen   +7 more
doaj   +1 more source

The research on full-waveform inversion method and its application based on Hessian operator preprocessing

Frontiers in Earth Science
Full-waveform inversion (FWI) can provide accurate velocity field for fine imaging in depth domain of seismic data. Its mathematics foundation determines that FWI is a strong nonlinearity with the solution being non-unique and the function being ...
Fei-Long Yang, Fei-Long Yang, Fei-Long Yang, Hui-Li Zhang, Feng-Ming Yao, Lei Wang, Yun-Hong Zhu   +6 more
doaj   +1 more source

SSIM-FWI: Full Waveform Inversion based on Multi-scale Structural Similarity Index Measure

Full waveform inversion (FWI) is a high-resolution seismic inversion technique popularly used in oil and gas exploration. Traditional FWI employs the l2 norm measurement to minimize the misfit between observed and predicted seismic data.
Liangsheng He, Chao Song, Cai Liu
core   +1 more source

FULL WAVEFORM INVERSION IN GENERALIZED COORDINATES FOR ZONES OF CURVED TOPOGRAPHY

CT&F Ciencia, Tecnología & Futuro
Full waveform inversion (FWI) has been recently used to estimate subsurface parameters, such as velocity models. This method, however, has a number of drawbacks when applied to zones with rugged topography due to the forced application of a Cartesian ...
César Arias, David Abreo, Sergio-Alberto Abreo, Luis Duque, Ana-B Ramírez   +4 more
doaj   +1 more source

Full waveform inversion based on deep learning and the phase-preserving symplectic partitioned Runge-Kutta method

Frontiers in Earth Science
To obtain more accurate full waveform inversion results, we present a forward modeling method with minimal phase error, low numerical dispersion, and high computational efficiency.
Yanjie Zhou, Xianxiang Leng, Xueyuan Huang, Xijun He, Tianming Cao   +4 more
doaj   +1 more source

Elastic Time-Lapse FWI for Anisotropic Media: A Pyrenees Case Study

Applied Sciences
In the context of reservoir monitoring, time-lapse (4D) full-waveform inversion (FWI) of seismic data can potentially estimate reservoir changes with high resolution.
Yanhua Liu, Ilya Tsvankin, Shogo Masaya, Masanori Tani   +3 more
doaj   +1 more source