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Tomographic imaging of 3D seismic low‐velocity anomalies to simulate monitoring of enhanced oil recovery
Author(s) -
Brzostowski Matthew A.,
McMechan George A.
Publication year - 1994
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.1850050109
Subject(s) - synthetic data , seismic survey , consistency (knowledge bases) , geology , voxel , computer science , tomographic reconstruction , point (geometry) , noise (video) , algorithm , iterative reconstruction , image (mathematics) , seismology , computer vision , mathematics , artificial intelligence , geometry
Tomographic velocity estimation of a three‐dimensional (3D) anomaly as a function of time is implemented by the simultaneous iterative reconstruction technique (SIRT) using synthetic observed travel times as data. Rays are retraced every 6–7 iterations to ansure consistency between rays and velocities. An expanding steam front modeled within a shallow reservoir is imaged at two points in time using three different survey geometries containing both cross‐well and well‐to‐surface paths. Synthetic data can be used to evaluate and optimize survey design and resolution prior to field data acquisition. Resolution is evaluated by computing point spread functions and can (theoretically) be made as high as desired (up to the limit imposed by wave phenomena and the noise in the data) by increasing the number of independent observations and correspondingly reducing the image voxel size. ©1994 John Wiley & Sons Inc.