A5045032649- Seismic Imaging and Inversion Techniques
- Seismic Waves and Analysis
- Drilling and Well Engineering
- Image and Signal Denoising Methods
- Geophysical Methods and Applications
- Hydraulic Fracturing and Reservoir Analysis
China University of Petroleum, East China
2023-2024
Qingdao National Laboratory for Marine Science and Technology
2023
Least-squares migration (LSM) aims to seek the best-fit solution for subsurface reflectivity with high image resolution and balanced amplitudes by minimizing mismatching between synthetic observed seismic data. It can be implemented either in data domain or domain. Data-domain LSM iteratively updates using gradient-based algorithms. However, it requires expensive computation cost converge a good solution, which is still challenging large-scale datasets under current computational capacity....
Reverse time migration (RTM) is an accurate method for imaging complex geologic structures without imposing any dip limitations. However, a large amount of high-amplitude low-frequency noise, which mainly generated by the crosscorrelation source and receiver wavefields propagating in same directions, seriously contaminates image quality. The causal condition with separated up- downgoing effective approach to reduce these artifacts. Explicit wavefield decomposition based on Hilbert transform...
Compared with traditional adjoint migration, the least-squares migration (LSM) can effectively mitigate unbalanced illumination and limited resolution associated finite acquisition apertures, complex overburden structures band-limited records. Data-domain LSM needs many times of Born modeling to converge a good solution, which is still challenging for large-scale 3D model under current computational capacity. To reduce cost produce high-quality images, we directly approximate Hessian inverse...
Conventional full-waveform seismic inversion (FWI) tries to estimate a subsurface model that can accurately predict surface records by minimizing an L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -norm misfit between observed and synthetic data. If the initial is far away from true model, cycle-skipping issue might occur L2-norm based FWI produces spurious model. To mitigate this problem, we present novel scheme using high-dimensional...
Least-squares migration (LSM) produces an accurate solution for subsurface reflectivity by solving a linear inverse problem, which can effectively mitigate the unbalanced illumination, suppress acquisition footprint and improve image resolution. It be implemented in data or domain. Data-domain LSM requires intensive computations many times of Born modeling adjoint migration. By contrast, image-domain large memory storage calculating saving Hessian matrix. Due to ability describing...