Automatic extraction of dislocated horizons from 3D seismic data using nonlocal trace matching
نویسندگان
چکیده
منابع مشابه
A Stochastic Method for Automated Matching of Horizons across a Fault in 3D Seismic Data Dissertation
ADMASU, FITSUM. A Stochastic Method for Automated Matching of Horizons across a Fault in 3D Seismic Data. Seismic data are pictures showing subsurface seismic reflectivity. Seismic data interpretations concern with building geological models with the aim to describe relationship between the seismic data and a priori geological information. The models are used for hydrocarbon exploration or othe...
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A novel approach to the automatic detection of fault surface images in 3D seismic datasets is presented. Based on the premise that seismic faulting introduces discontinuities into the rock layering (that is, the horizons), a coherency measure is used to detect points of significant horizon discontinuity. A highest confidence first (HCF) merging strategy is then combined with a flexible surface ...
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Automated horizon-extraction methods often have difficulty extracting horizons that terminate at unconformities or sequence boundaries. Using sequence boundaries as constraints is one way to solve this problem, but there exists no automated method for sequence-boundary extraction. We first introduce a globally optimal method to efficiently extract a horizon from a seismic image. We then use sca...
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Land seismic data acquisition in most of cases suffers from obstacles in fields which deviates geometry of the real acquired data from what was designed. These obstacles will cause gaps, narrow azimuth and offset limitation in the data. These shortcomings, not only prevents regular trace distribution in bins, but also distorts the subsurface image by reducing illumination of the target formatio...
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ژورنال
عنوان ژورنال: GEOPHYSICS
سال: 2019
ISSN: 0016-8033,1942-2156
DOI: 10.1190/geo2019-0029.1