The paper presents a ten-year bibliometric study of “Seismic Technologies” journal published by Trofimuk Institute of Petroleum Geology and Geophysics. In the study we used both generally accepted  bibliometric methods including citation analysis, detection of a share of uncited papers, distribution of citations per  years, analysis of the level of internationalization of the journal, as well as rather new approaches for  analysis of publication activity and geographic distribution of editorial board members. The obtained  findings related to “Seismic Technologies” were compared with relevant indices of the most ranked Russian  journals on Earth sciences to reveal the journal’s position among other Russian serials and to detect its possibilities to be selected in international citation databases.

In the paper factors affecting error of microseismic events location are considered. Linearized error estimates are constructed, an accuracy of this approach is shown by the example. The influence of the  following factors is demonstrated by examples: coordinate measurement errors of the microseismic  antenna, errors in the model used for processing, and lack of information on the static corrections necessary to compensate for the low-velocity zone.

Data of experimental study of amplitude dependence of P-wave attenuation in the dry and watersaturated
sandstone under confining pressure of 10 MPa are presented. Measurements were conducted on samples  using the reflection method at a dominant frequency of the initial impulse of 1 MHz in the amplitude range   ~ (0,3 – 2,0)  10-6. P-wave attenuation spectra, 1( , ) P Q f  in the frequency range of 0,52 – 1,42  MHz in a dry and saturated sample have an appearance in the form of relaxation peak which depends on  the strain amplitude. In the saturated sandstone, attenuation is greater and the attenuation peak is shifted  to higher frequencies compared to the dry sandstone. With increasing amplitude, wave attenuation  decreases in dry sandstone by 4,5% and in saturated – by 9%. P-wave velocity practically doesn't depend  on the strain amplitude. The possible mechanism of discrete (intermittent) inelasticity which determines the waveform distortion and exerts influence on wave attenuation spectra is discussed. The received results  have fundamental and applied importance for seismics, acoustics and in Earth sciences.

The applicability of pseudo-random code functions in impulse-code seismic concentration to oil and gas seismology problemsolving has been assessed through the comparative analysis of correlation functions in  compliance with pseudo-random pulse sequences and linear change in pulse repetition sequences. The  research shows that the correlation functions’ main peaks spectrums of pseudo-random pulse sequences  are almost equal to the single impulses’ spectrums used for the sequences development. The given  circumstance reflects the general possibility of pseudo-random sequences applicability to oil and gas  seismology problemsolving. However, pseudo-random sequences are characterised by the increased  interference level of correlative transformation, which makes the use of pseudo-random code functions in oil and gas seismology inappropriate. It is noted that not only are impulsecode pseudo-random signals  characterised by high-amplitude correlation noise, but also all the other pseudo-random complex signals, e.g. random quasi-harmonic signals, contained in modern vibroseis management systems.

A Genetic algorithm (GA) is a very important method for the solution of non-linear problems. The basic steps in GA are coding, selection, crossover, mutation and choice. Coding is a way of representing data  in binary notation. The algorithm must determine the fitness of the individual models. This means that  the binary information is decoded into the physical model parameters and the forward problem is solved. The resulting synthetic data is estimated, then compared with the actual observed data using the  specific fitness criteria. The selection of pairs of the individual models for the reproduction is based on  their fitness values. Models with the higher fitness values are more likely to get the selection than models with low  fitness values. A crossover caused the exchange of some information between the paired models thereby  generating new models. The mutation is a random change of binary state. The condition of the procedure of mutation: if a value obtained by a random number generator is less than a certain threshold value, the  mutation procedure is performed. The last basic step in GA is choice. We choose from each pairs a model,  which has the less fitness function. Then we produce the procedures: the crossover, the mutation and the  choice. This procedure is continued until we obtain the optimal model. We have used the GA for the  estimation of the velocity for the gradient layer. The synthetic seismogram was calculated by the finite- difference method. The obtained results showed a high effectiveness of GA for the seismic waves velocity estimation.