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 considered usually. In the presented work, a model-based seismic inversion algorithm is implemented. The input data for the inversion are the depth image results in true amplitudes and the depth migration velocity model. The possibilities of seismic inversion are numerically investigated to refine the low-frequency component of the model. Experiments were carried out using synthetic seismic data got for realistic Sigsbee model.
A comprehensive analysis of geophysical data was carried out and a model of the deep structure of the Yenisei–Khatanga regional trough was constructed. A distinct platform appearance of the Neoproterozoic-Paleozoic sediments, the synchronous occurrence of ancient and Mesozoic sedimentary complexes in the axial most submerged part of the Yenisei–Khatanga linear depression. A wide territorial distribution of trap magmatism was revealed, which is not localized in the linear structure of the trough. It is concluded that the formation of the Yenisei-Khatanga regional trough is not associated with the Late Permian–Early Triassic rifting.
This paper tests and evaluates the algorithm for surface-consistent compensation of seismic amplitudes. The algorithm is based on factorial decomposition and is implemented in matrix form. The matrix view links all seismic observations to accurately identify variations associated with discontinuities in the upper section. The algorithm was tested on synthetic data containing about 10.5 million observations. Testing shows the possibility of applying the method to large amounts of data with high accuracy.
Volcanoes are the most rapidly changing and difficult to study geological features. Identifying physical signatures of processes occurring during seismic and volcanic activity is one of the most important problem in seismology. Here we reveal temporal changes of seismic velocity in the upper crust for two years of eruption activity of the Redoubt volcano. Based on correlation of continuous records of seismic noise at pairs of stations, we obtained correlograms for selected time periods. Using the stretching method, we obtained relative velocity changes between stations. These variations appear to be consistent with the results of repeated tomography that was previously derived based on body waves from local earthquakes.
The article describes the use of a vector ferromagnetic magnetometer placed on an unmanned aerial vehicle (UAV). It is shown that solving inverse problems of magnetic prospecting for a vector aeromagnetic survey makes it possible to identify areas with different magnetization. We present a simple, based on standard libraries, software product for processing primary data of three-component fluxgate magnetometers, which allows correctly selecting the magnetic induction vector components when performing magnetic UAV surveys. To build maps, a method for graphical display of a vector field is proposed. On the example of a man-made object, we demonstrate that vector fields measured at different heights provide significantly more information than conventional electromagnetic induction measurements.
