Innovative technology enhances computer modeling of geological mediums, indicating potential in seismic imaging.
The main modern construction methods of geological medium depth-velocity models are based on different solutions to the inverse kinematic problem of seismic prospecting. Unfortunately, solutions to the inverse problems are ill-posed. There are many algorithms for approximate solutions to the inverse problems. Its application and results comparison show the nonexistence of uniqueness and existence of structural instability of solutions to the inverse problems. The article presents an original seismic locating technology designed to computer modeling of seismic images with high-resolution and precision. The technology provides an accurate and consistent design of a computer depth-velocity medium model without inverse problems solutions. To eliminate obstacles inherent to traditional seismic images construction approaches, the technology applies radio locating methods ideas. The technology consequently solves three construction problems of computer models of qualitative seismic images. It begins with qualitative primary processing of field materials obtained with the reflected waves method, and continues with receiving computer images of the processing results. Next, it builds a high-resolution and precision model of the reflected waves hodograph series image. The technology completes with computer modeling of the configuration of the interface between the layers of the medium, linked in space to the observation profile. The concept of accurate and high-quality design of a computer image of the interface between two layers of the geological environment model is to find a line passing through an optimally selected set of wave reflection points. The seismic location technology uses algorithmic means providing an optimal location and estimation of the best reflecting point where the propagating wave has a minimal travel time. The virtual locating grid provides the spatial binding to the observation profile. Precision of the binding is achieved by a stochastic modification operation and the use of grid parameters variation.
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E.V. Rabinovich (2025) studied this question.
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