Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Seismic Reflection Data

View through CrossRef
AbstractA layer‐by‐layer waveform inversion method is developed to derive the velocities of a multi‐layered model. Firstly, one new concept, medium perturbation‐response, is introduced and the gradient method for waveform inversion is analysed. Essentially, waveform inversion is to extract residual structural information between the real earth and predicted model from the waveform residuals between the observed and the synthetic seismograms. The strength of waveform inversion is the high resolution of the inversion result by using a large quantity of waveform information. A weakness of waveform inversion is time‐consuming. In addition, waveform information will tend to get stuck in local minima if the starting model is too far from the actual model. The reason for this failure is that the misfit function can be highly nonlinear with respect to velocity models. The layer‐by‐layer method is to minimize the misfit function for every layer from top to bottom. In this case the total misfit function will be minimum too. For each layer, we use the dichotomy method to scan the velocity. This method can improve the speed of computation and avoid getting stuck in local minima for the iterative algorithm. Velocity and reflection interfaces can be estimated quickly and accurately based on the medium perturbationresponse and the change of the misfit function.
Title: Seismic Reflection Data
Description:
AbstractA layer‐by‐layer waveform inversion method is developed to derive the velocities of a multi‐layered model.
Firstly, one new concept, medium perturbation‐response, is introduced and the gradient method for waveform inversion is analysed.
Essentially, waveform inversion is to extract residual structural information between the real earth and predicted model from the waveform residuals between the observed and the synthetic seismograms.
The strength of waveform inversion is the high resolution of the inversion result by using a large quantity of waveform information.
A weakness of waveform inversion is time‐consuming.
In addition, waveform information will tend to get stuck in local minima if the starting model is too far from the actual model.
The reason for this failure is that the misfit function can be highly nonlinear with respect to velocity models.
The layer‐by‐layer method is to minimize the misfit function for every layer from top to bottom.
In this case the total misfit function will be minimum too.
For each layer, we use the dichotomy method to scan the velocity.
This method can improve the speed of computation and avoid getting stuck in local minima for the iterative algorithm.
Velocity and reflection interfaces can be estimated quickly and accurately based on the medium perturbationresponse and the change of the misfit function.

Related Results

Seismic Frequency Enhancement for Mapping and Reservoir Characterization of Arab Formation: Case Study Onshore UAE
Seismic Frequency Enhancement for Mapping and Reservoir Characterization of Arab Formation: Case Study Onshore UAE
Abstract Mapping and discrimination of Upper Jurassic Arab reservoirs (Arab A/B/C and D) in this 3D seismic onshore field of Abu Dhabi, is very sensitive to the seis...
4D Seismic on Gullfaks
4D Seismic on Gullfaks
SUMMARY New technologies are rapidly emerging helping to obtain optimal drainage of large reservoirs. 4D seismic is such a reservoir monitoring technique. The phy...
Integrated Hydrocarbon Detection Based on Full Frequency Pre-Stack Seismic Inversion
Integrated Hydrocarbon Detection Based on Full Frequency Pre-Stack Seismic Inversion
Abstract To improve the accuracy of hydrocarbon detection, seismic amplitude variation with offset (AVO), seismic amplitude variation with frequency (AVF), and direc...
Future Directions of Multicomponent Seismic Methods in the Marine Environment
Future Directions of Multicomponent Seismic Methods in the Marine Environment
Abstract Multicomponent seismic recording (4C) is becoming more common in several offshore seismic applications. Faithfully recording all Cartesian components of ...
Stochastic Rock Physics Inversion
Stochastic Rock Physics Inversion
Abstract The purpose of this paper is to introduce a stochastic seismic inversion algorithm based on Markov Chain Monte Carlo Simulation. The suggested inversion ...
The Application of S‐transform Spectrum Decomposition Technique in Extraction of Weak Seismic Signals
The Application of S‐transform Spectrum Decomposition Technique in Extraction of Weak Seismic Signals
AbstractIn processing of deep seismic reflection data, when the frequency band difference between the weak useful signal and noise both from the deep subsurface is very small and h...

Back to Top