Abstract

Abstract The travel time tomography technology had achieved wide application, the hinge of tomography was inversion algorithm, the ray path tracing technology had a great impact on the inversion results. In order to improve the SNR of inversion image, comprehensive utilization of inversion results with different ray tracing can be used. We presented an imaging fusion method based on improved Wilkinson iteration method. Firstly, the shortest path method and the linear travel time interpolation were used for forward calculation; then combined the improved Wilkinson iteration method with super relaxation precondition method to reduce the condition number of matrix and accelerate iterative speed, the precise integration method was used to solve the inverse matrix more precisely in tomography inversion process; finally, use wavelet transform for image fusion, obtain the final image. Therefore, the ill-conditioned linear equations were changed into iterative normal system through two times of treatment and using images with different forward algorithms for image fusion, it reduced the influence effect of measurement error on imaging. Simulation results showed that, this method can eliminate the artifacts in images effectively, it had extensive practical significance.

Highlights

  • Cross well tomography technology is an effective method in geophysical prospecting, it uses the observed data acquired through the omnidirectional scanning of cross well medium, to get optimization inversion calculation results, get the image which can reflect cross well internal medium structure changes

  • According to the projection data type, cross well tomography can be divided into the travel time tomography, waveform tomography and amplitude tomography etc

  • The cross well tomography technology has made some progress in theory study, model experiment, detection equipment, observation system, tomography algorithm, parameter inversion and geological interpretation, but at present it is still difficult to meet the practical application needs

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Summary

Introduction

Cross well tomography technology is an effective method in geophysical prospecting, it uses the observed data acquired through the omnidirectional scanning of cross well medium, to get optimization inversion calculation results, get the image which can reflect cross well internal medium structure changes It can solve many problems in engineering geology, it has been widely used in engineering geological exploration, such as the remaining oil distribution and reservoir precise description of oil and gas field, looking for inter well blind metallic ore or ore reserves prediction and so on. The cross well tomography technology has made some progress in theory study, model experiment, detection equipment, observation system, tomography algorithm, parameter inversion and geological interpretation, but at present it is still difficult to meet the practical application needs This is mainly because in the calculation process of speed tomography, it has to solve these three problems: (1) calculation of ray tracing time in theory; (2) Calculation of the Jacobi matrix; (3) Solving sparse, ill conditioned equations, that is linearized inversion problem. There is a direct relationship between the first two problems and forward algorithms by ray tracing method, the geological conditions were varied, it had the lack of widely

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