A5063409858- Seismic Imaging and Inversion Techniques
- Seismic Waves and Analysis
- Reservoir Engineering and Simulation Methods
- Hydraulic Fracturing and Reservoir Analysis
- Blind Source Separation Techniques
- Underwater Acoustics Research
- Hydrocarbon exploration and reservoir analysis
- Seismology and Earthquake Studies
- NMR spectroscopy and applications
- Drilling and Well Engineering
China University of Petroleum, Beijing
2023-2024
Bayesian linearized inversion (BLI) stands out as an exceptional stochastic method in the realms of geophysics and remote sensing. It excels estimating results assessing their uncertainty with remarkable efficiency. However, one challenges faced by BLI lies its core matrix. To surmount this limitation, innovative dimension reduction strategy is proposed based on discrete cosine transform (DCT), thus formulating a rapid approach termed DCT-BLI. Within method, DCT-based effectively compresses...
High-resolution prestack inversion combining the well-logging and seismic data is a significant geophysical task can be achieved by two kinds of stochastic approaches, geostatistical (GSI) Bayesian linearized (BLI). Nevertheless, existing GSI restricted heavy iteration calculation. Although BLI avoid this issue, it suffers from large core matrix inverse. A fast multi-Gaussian (FMG_INV) proposed herein to achieve well-log combined with higher efficiency than BLI. FMG_INV derived BLI, which...
Bayesian inversion is capable of integrating seismic data, well-log and geological data to obtain a posterior probability distribution function (PPDF) elastic parameters. Due the absorption strata, amplitude attenuation phase distortion inevitably occur during propagation wave, resulting in low resolution data. The traditional linear method based on stationary convolution model, compensation correction are needed be conducted advance. Uncertainties exist both inversion, results cannot...
Joint estimation of elastic and petrophysical properties from seismic data quantification their uncertainties are critical aspects reservoir characterization studies. The ensemble smoother with multiple assimilation (ES-MDA) is proving to be a valuable tool for generating reliable set by matching simulated responses available observations. However, in standard implementations ES-MDA, when the size small, spurious correlations can arise cross-covariances model parameters data, leading...
Time-lapse seismic monitoring technology is an effective tool for quantitatively estimating subsurface medium variations and plays a crucial role in resource engineering explorations. Among existing time-lapse inversion methods, the difference technique offers higher accuracy but requires linear operators. During linearization, background often approximated as homogeneous medium, resulting loss of information. Additionally, merely using reflection wave information not conducive to improving...