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They have been We investigate the applicability of neural networks in mostly used in picking the first arrivals of seismic traces (Murat geophysical inversion. Neural networks have been useful in and Rudman, 1992). Some application to seismic discrimination pattern recognition problems and they learn through experience.
Conventional calibration procedures also is equivalent to a calibration.
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Back-propagation algorithm which varies the number hidden nodes is described in box 1. Weight In this paper, a neural network approach for correction in this algorithm is the same as for the the recognition of seismic reflection patterns is back-propagation algorithm [2].
In this paper the SCE-algorithm is used on In digital image processing a special variant of seismic signals assembled to constitute an image in the generalized Radon transform [11], called the which the investigated reflections produce curves, Hough transform, [4], [7] is used for detection of e.g., CMP-gathers. The SCE-algorithm identifies curves in images. The Hough transform detects specific all reflections and is consequently considered as a values of parameters which characterize these pre-processing procedure, which is succeeded by curves. Spatially extended curves are transformed a primary and multiple reflection separation. A such that they produce spatially compact features neural network approach for this separation is employed.
Therefore, a neural network that can emulate The Artificial Neural Networks discussed to this date in the particular "style" of a geophysicist will be better the geophysical literature have been single trace processing accepted by users than a rigid, rule-based or parametric tools. We show that significant improvements can be program.
Token Extraction In this paper we introduce a. three stage approach for extracting Figure 1 shows a portion of a. typical time section - see Mason [10].
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In other words, the "bandwidth" of the matrices in equation (2) is proportional to the magnitude of the lateral variations of wavenumber domain is directly related to the complexity of the subsurface parameters.
BIANGULAR DECOMPOSITION In this paper we introduce a method for biangular The analysis considers seismic data recorded along a line in a decomposition of seismic data and an application for cross-sectional plane of a 3D configuration.
Many seek attributes most suitable for classifying the attributes are being extracted from seismic data data into proper groups. The performance of any and related to various aspects of hydrocarbon PR system depends crucially on this step which reservoirs, in an attempt to decrease the likelihood amounts to selecting a suitable set of attributes of dry-hole drilling. This interest led one to to resolve a seismic interpretation problem. An question the validity of specific attributes to optimal set of features should cluster data from resolve a given problem. Pattern recognition each class closely while separating different techniques provide a natural vehicle for classes as far as possible.
The Reflectivity Operator For Curved Interfaces
Fokkema, J.T. (Delft University of Technology, Netherlands) | van Vroonhoven, M.W.L. (Delft University of Technology, Netherlands) | Wapenaar, C.P.A. (Delft University of Technology, Netherlands) | de Bruin, C.G.M. (Koninklijke/Shell Exploratie en Productie Laboratorium)
We investigate the direct or forward scattering of acoustic waves by a In this paper we present a generalized notion for the reflection operator contrasting domain present in an embedding or background for a curved interface in an inhomogeneous background configuration.