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Seismic inversion of depth migration results

Russian Journal of Geophysical Technologies, 2022
Seismic inversion is used in practice as a tool for predicting reservoir properties. It allows one to extract a model with a high level of detail from seismic data, i.e., high-frequency component of the model. In this case, the input data are the time processing results, and the issues related to the low-frequency component of the model are not ...
D. K. Dmitrachkov, M. I. Protasov
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Inversion after depth imaging

SEG Technical Program Expanded Abstracts 2012, 2012
In many areas, depth imaging of seismic data is required to construct an accurate view of the reservoir structure. This is especially true in areas of complex geology and areas with salt tectonics. Having identified the reservoir structure, we of course want to extract further information on lithology, reservoir quality, and fluids.
Robin P. Fletcher   +3 more
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Inverse modelling of snow depths

Environmental Modelling & Software, 2018
Abstract Operational snow forecasting models contain parameters for which site-specific values are often unknown. As an improvement a Bayesian procedure is suggested that estimates, from past observations, site-specific parameters with confidence intervals. It turned out that simultaneous estimation of all parameters was most accurate. From 2.5 years
Uwe Schlink, Daniel Hertel
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Deghosting through Depth Domain Inversion

Proceedings, 2015
We describe a method for performing deghosting in the image domain. The method consists of a multi-dimensional deterministic deconvolution of a standard migrated image using non-Hessian form operators. The operators, created by modelling with ghost effects followed by standard migration, compensate for both dip-dependent illumination and ghost effects,
P. Caprioli, X. Du, R.P. Fletcher
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Reduced binocular depth inversion in schizophrenic patients

Schizophrenia Research, 2002
Binocular depth inversion represents an illusion of visual perception, serving to invert the perception of implausible hollow objects, e.g. a hollow face into a normal face. Such inversion occurs frequently, especially when objects with a high degree of familiarity (e.g. photographs of faces) are displayed.
U, Schneider   +6 more
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Inverse Depth Parametrization

2011
This chapter presents a parametrization for point features within monocular SLAM which permits efficient and accurate representation of uncertainty during undelayed initialisation and beyond, all within the standard EKF (Extended Kalman Filter).
Javier Civera   +2 more
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Gravity inversion with depth normalization

2020
<p>Actually the most common method of gravity data interpretation is a manual fitting method. In this case, the density model is divided into many polygons with constant density and each polygon is editing manually by interpreter.
Lev Chepigo, Lygin Ivan, Andrey Bulychev
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