A local contrast source inversion algorithm for cross‐well time‐lapse seismic applications

2008 ◽  
Author(s):  
W. Hu ◽  
A. Abubakar ◽  
T. Habashy ◽  
P. M. van den Berg†
Keyword(s):  
Time Lapse ◽  
Local Contrast ◽  
Source Inversion ◽  
Inversion Algorithm ◽  
Contrast Source Inversion ◽  
Seismic Applications

Application of the finite-difference contrast-source inversion algorithm to seismic full-waveform data

Geophysics ◽  
2009 ◽  
Vol 74 (6) ◽  
pp. WCC47-WCC58 ◽  
Author(s):  
Aria Abubakar ◽  
Wenyi Hu ◽  
Tarek M. Habashy ◽  
Peter M. van den Berg
Keyword(s):  
Finite Difference ◽  
Conjugate Gradient ◽  
Gradient Method ◽  
Time Lapse ◽  
Source Inversion ◽  
Inversion Algorithm ◽  
Nonlinear Conjugate Gradient Method ◽  
Full Waveform ◽  
Contrast Source Inversion ◽  
Nonlinear Conjugate Gradient

We have applied the finite-difference contrast-source inversion (FDCSI) method to seismic full-waveform inversion problems. The FDCSI method is an iterative nonlinear inversion algorithm. However, unlike the nonlinear conjugate gradient method and the Gauss-Newton method, FDCSI does not solve any full forward problem explicitly in each iterative step of the inversion process. This feature makes the method very efficient in solving large-scale computational problems. It is shown that FDCSI, with a significant lower computation cost, can produce inversion results comparable in quality to those produced by the Gauss-Newton method and better than those produced by the nonlinear conjugate gradient method. Another attractive feature of the FDCSI method is that it is capable of employing an inhomogeneous background medium without any extra or special effort. This feature is useful when dealing with time-lapse inversion problems where the objective is to reconstruct changes between the baseline and the monitor model. By using the baseline model as the background medium in crosswell seismic monitoring problems, high quality time-lapse inversion results are obtained.

Feasibility study of acoustic imaging for human thorax using an acoustic contrast source inversion algorithm

2018 ◽  
Vol 144 (5) ◽  
pp. 2782-2792 ◽  
Author(s):  
Xiaoqian Song ◽  
Maokun Li ◽  
Fan Yang ◽  
Shenheng Xu ◽  
Aria Abubakar
Keyword(s):  
Feasibility Study ◽  
Acoustic Imaging ◽  
Source Inversion ◽  
Inversion Algorithm ◽  
Contrast Source Inversion ◽  
Human Thorax

Contrast Source Inversion Algorithm Applied in 3-D Microwave Imaging

2012 ◽  
Vol 468-471 ◽  
pp. 314-317
Author(s):  
Yu Xin Xie ◽  
Xue Jing Wang ◽  
Jing Hong Miao ◽  
Cui Juan Guo ◽  
Jiang Xiong Li ◽  
...  
Keyword(s):  
Integral Equation ◽  
Three Dimensional ◽  
Iterative Algorithms ◽  
Microwave Imaging ◽  
Controlled Environment ◽  
Source Inversion ◽  
Inversion Algorithm ◽  
3D Inversion ◽  
Contrast Source Inversion ◽  
Dielectric Target

This paper describes an nonlinear three-dimensional (3D) inversion algorithm for reconstructing a homogeneous dielectric target in an anechoic chamber in a controlled environment. The applied algorithm is a nonlinear iterative algorithms—two domain integral equation based method, namely the contrast source inversion (CSI) algorithm. The inversion results, which are presented and compared for the co-polorized data using the multi-frequency multi-bistatic measurements, verify the capability, the accuracy of the CSI algorithm for 3-D microwave imaging.

Synthetic Aperture Focusing Technique and Contrast Source Inversion Algorithm Applied in Elastic Wave Imaging

2011 ◽  
Vol 340 ◽  
pp. 402-408 ◽  
Author(s):  
Ji Qi ◽  
Jing Hong Miao ◽  
Yu Xin Xie
Keyword(s):  
Acoustic Wave ◽  
Elastic Wave ◽  
Synthetic Aperture ◽  
Source Inversion ◽  
Inversion Algorithm ◽  
Wave Data ◽  
Contrast Source Inversion ◽  
Wave Imaging ◽  
Synthetic Aperture Focusing ◽  
Synthetic Aperture Focusing Technique

In this paper the linear synthetic aperture focusing technique (SAFT), the nonlinear contrast source inversion (CSI) algorithm and the CSI algorithm with extended approaches, such as frequency approach and regularization approach, are applied to reconstruct a complicated target immersed in water from the experimental elastic wave data. The inversion results from these datasets using multi-bistatic measurement, which are obtained in the acoustic wave case and the pressure and vertically polarized shear (P-SV) wave case, verify the CSI algorithm with extended approaches is an accurate and promising method for elastic wave imaging.

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