Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Nanxun Dai"'
Publikováno v:
GEOPHYSICS. 87:S249-S265
High-resolution seismic imaging is crucial for deriving an accurate geologic section and ensuring successful petroleum exploration. However, traditional high-resolution imaging methods, such as least-squares reverse time migration (LSRTM) and migrati
Publikováno v:
GEOPHYSICS. 86:S339-S353
Intrinsic attenuation gives rise to phase dispersion and amplitude loss during seismic wave propagation. Not correcting these effects in seismic imaging can result in inaccurate reflector locations, dimmed amplitudes, and degraded spatial resolution.
Publikováno v:
Second International Meeting for Applied Geoscience & Energy.
Publikováno v:
First International Meeting for Applied Geoscience & Energy Expanded Abstracts.
Publikováno v:
SEG Technical Program Expanded Abstracts 2017.
Publikováno v:
GEOPHYSICS. 79:T117-T124
Cost-effective waveform modeling is the key to practical reverse time migration (RTM) and full-waveform inversion (FWI) implementations. We evaluated an explicit time evolution (ETE) method to efficiently simulate wave propagation in acoustic media w
Publikováno v:
2016 Workshop: Workshop High Performance Computing, Beijing, China, 14-16 November 2016.
Publikováno v:
ICPADS
The Explicit Time Evolution (ETE) method is an innovative Finite-Difference (FD) type method to simulate the wave propagation in acoustic media with higher spatial and temporal accuracy. However, different from FD, it is difficult to achieve an effic
Autor:
Wei Zhang, Nanxun Dai
Publikováno v:
Day 1 Mon, November 09, 2015.
There have long been attempts to apply Full Waveform Inversion (FWI) to land data sets because it has the potential to build higher-resolution velocity models compared to traditional ray-based model building techniches. However, several difficulties
Autor:
Wei Zhang, Nanxun Dai
Publikováno v:
SEG Technical Program Expanded Abstracts 2015.
Summary We propose a dual frequency phase difference objective function specially designed for land data FWI. It is constructed by calculating the phase difference between two selected frequencies for both simulated and observed data respectively, th