Journal ArticleDOI
Automatic velocity analysis using bootstrapped differential semblance and global search methods
TLDR
In this article, the authors developed an automatic velocity analysis algorithm by using bootstrapped differential semblance (BDS) and Monte Carlo inversion, which provides a higher velocity resolution than conventional semblance, as a coherency estimator.Abstract:
The goal of automatic velocity analysis is to extract accurate velocity from voluminous seismic data with efficiency. In this study, we developed an efficient automatic velocity analysis algorithm by using bootstrapped differential semblance (BDS) and Monte Carlo inversion. To estimate more accurate results from automatic velocity analysis, the algorithm we have developed uses BDS, which provides a higher velocity resolution than conventional semblance, as a coherency estimator. In addition, our proposed automatic velocity analysis module is performed with a conditional initial velocity determination step that leads to enhanced efficiency in running time of the module. A new optional root mean square (RMS) velocity constraint, which prevents picking false peaks, is used. The developed automatic velocity analysis module was tested on a synthetic dataset and a marine field dataset from the East Sea, Korea. The stacked sections made using velocity results from our algorithm showed coherent events and improved the quality of the normal moveout- correction result. Moreover, since our algorithm finds interval velocity (vint) first with interval velocity constraints and then calculates a RMS velocity function from the interval velocity, we can estimate geologically reasonable interval velocities. Boundaries of interval velocities also match well with reflection events in the common midpoint stacked sections.read more
Citations
More filters
Journal ArticleDOI
Automatic velocity analysis using convolutional neural network and transfer learning
Min Jun Park,Mauricio D. Sacchi +1 more
TL;DR: A convolutional neural network is developed to estimate stacking velocities directly from the semblance to predict a consistent velocity model and adopts transfer learning to update the trained model with a small portion of the target data to improve the accuracy of the predicted velocity model.
Journal ArticleDOI
Bootstrap resampling as a tool for uncertainty analysis in 2-D magnetotelluric inversion modelling
Journal ArticleDOI
Horizon-based semiautomated nonhyperbolic velocity analysis
TL;DR: In this article, an automated algorithm is developed to simultaneously estimate the nonhyperbolic parameters of long-offset surveys, instead of directly seeking an effective stacking model, the algorithm finds an interval model t...
Journal ArticleDOI
Automatic nonhyperbolic velocity analysis by polynomial chaos expansion
Mostafa Abbasi,Ali Gholami +1 more
TL;DR: In this paper, the velocity analysis of seismic data is one of the most crucial and, at the same time, the most laborious tasks during seismic data processing This becomes even more difficult and time-consuming when seismic data collection becomes more complex.
Journal ArticleDOI
Automatic Velocity Analysis Considering Anisotropy
TL;DR: In this article, an NMO velocity analysis module was developed not only considering anisotropy but also extracting an anisotropic parameter, which can process huge amount of data like 3D data efficiently and rapidly because it picks the maximum energy points on the semblances automatically.
References
More filters
Journal ArticleDOI
Seismic velocities from surface measurements
TL;DR: In this paper, a simple but accurate formula is developed for the quick calculation of interval velocities from the known x2-T2 technique, which is obtained through a correlation of velocity with rock type and depth.
Journal ArticleDOI
Velocity spectra-digital computer derivation and applications of velocity functions
M. Turhan Taner,Fulton Koehler +1 more
TL;DR: In this article, the fundamental principles for calculating velocity spectra displays are outlined and examples are included which demonstrate the depth and detail of geological information which may be obtained from the interpretation of such displays.
Journal ArticleDOI
Velocity inversion by differential semblance optimization
TL;DR: Differential semblance optimization (DSO) as discussed by the authors is an approach to inversion of reflection seismograms which avoids the severe convergence difficulties associated with nonlinear least squares inversion by exploiting both moveout and amplitude characteristics of reflections.
Journal ArticleDOI
Velocity Analysis Without Picking
TL;DR: In this paper, the authors proposed a velocity analysis algorithm based on stacking velocities, which eliminates the conventional picking stage by always considering stacking velocity from the point of view of an interval-velocity model.
Journal ArticleDOI
A bootstrap procedure for high-resolution velocity analysis
TL;DR: In this paper, a method for further improving velocity estimates derived from high-resolution velocity analysis is presented, where an intensive statistical procedure, the bootstrap method, is proposed to assess the accuracy of the velocity estimate.
Related Papers (5)
Automatic seismic velocity analysis based on nonlinear optimization of the semblance function
L.W.B. Leite,W.W.S. Vieira +1 more