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2D high-resolution crosswell seismic traveltime tomography

Abstract

This paper presents a method for combining the hybrid eikonal solver and the prior velocity information to obtain high-resolution crosswell imaging. The hybrid eikonal solver in this technique can ensure rapid and reliable forward modeling of traveltime field in an unsmoothed velocity model. We also utilize the sonic well logging curve to properly develop an initial reference velocity model, and use the sonic well logging data as the prior information for the inversion part, which can restrict the problem of non-uniqueness. The results of the numerical experiment of traveltime in multi-layer media showed that the hybrid eikonal solver was more accurate than the finite difference method. The case study of an oil field in eastern China demonstrated that our method can derive a high-resolution reconstruction of the subsurface structure by inverting the primary traveltime datasets. These results suggest that even though the eikonal equation is a high frequency approximation to the wavefield, the hybrid eikonal solver can provide an accurate traveltime field in the forward modelling step of seismic crosswell tomography, which is critical to ensure high-resolution invert imaging in a highly heterogeneous environment.


ISSN: 1083-1363
EISSN: 1943-2658
Serial Title: Journal of Environmental & Engineering Geophysics
Serial Volume: 25
Serial Issue: 1
Title: 2D high-resolution crosswell seismic traveltime tomography
Affiliation: Central South University, School of Geoscience and Info-Physics, Changsha, China
Pages: 47-53
Published: 202003
Text Language: English
Publisher: Environmental and Engineering Geophysical Society, Englewood, CO, United States
References: 32
Accession Number: 2020-060674
Categories: Engineering geologyApplied geophysics
Document Type: Serial
Bibliographic Level: Analytic
N20°00'00" - N53°00'00", E74°00'00" - E135°00'00"
Secondary Affiliation: China University of Mining & Technology, CHN, ChinaHunan University of Science and Technology, CHN, China
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2020, American Geosciences Institute. Abstract, copyright, Environmental & Engineering Geophysical Society. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 202017
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