We presents the results of microseismic analysis based on 2D RM-CDP data obtained in the Verkhnekombarskaya area (Tomsk region). It has been proven that three productive wells that discovered gas condensate and oil deposits in Paleozoic sediments are accompanied by anomalies in the spectrum of microseisms of various shapes in the range of 10–25 Hz. Anomalies are detected at late times in the paths, after the passage of the primary waves from the explosion, which indicates their emissive nature. Anomalies are confirmed on intersecting profiles. Microseismic spectrum anomalies are identified, widespread in the northeastern part of the area; isolated anomalies are also present in the central and eastern parts. The results can be useful in complex data interpretation when forecasting oil and gas fields.
Some aspects of signature deconvolution for a composite signal being as a sum of several wavelets shifted relative to each other along the time axis are considered. It is shown that in the absence of additive noise, only the first wavelet is involved in forming the output signal. If deconvolution is implemented as optimal inverse filtering with the noise taken into account, the output signal will contain the energy of all the wavelets.
Seismic facies analysis is one of the most important stages in the qualitative dynamic interpretation of seismic exploration results. By summarizing considerable experience in the analysis of seismic data and the calculation of various seismic attributes, it allows the identification of geological elements manifesting in the seismic wave field. This makes it possible to determine the detailed geological structure of promising deposits and identify seismic facies based on the similarity of acoustic properties. The article presents the results of testing the seismic facies analysis algorithm on real data using two clustering techniques: by the form of the seismic record and by a set of seismic attributes.
The seismic ray tomography method provides a way to construct models of velocity anomalies in the geological medium to provide hypotheses about structure beneath. In the tomographic inversion process the chosen approach and quality of the forward problem solution significantly affects final result which may vary for the same dataset. The aim of this paper is to study the influence of the choice in forward problem solving method on the inversion result using two algorithms as an example: PROFIT (ray-bending technique) and ST3D (tracing via eikonal equation solution), using field data (Beltir, Altai Republic, 2021).
In this paper, the passive interferometry method was applied for the first time to seismic noise data recorded at the Tashtagol iron ore deposit. The passive interferometry method is based on the analysis of cross-correlation functions of seismic noise. Continuous seismic records from one day at six seismic stations formed the data set used in this analysis. We have successfully identified shear seismic waves propagating between seismic stations on the obtained cross-correlations. The results demonstrate the potential of using ambient seismic noise tomography to study mining data.
We present the results of the study of attributes, which are values of amplitudes obtained by wavelet decomposition at three fixed frequencies. Such attributes are used for RGB visualization. Comparison of RGB maps constructed using four wavelets: Ricker, Morlet, Gauss, Shannon, allowed us to determine the optimal type of wavelet that provides the best allocation of the paleochannel. The attribute values were also used to quantitatively assess the effective thickness of sediments related to the paleochannel. The results of the predictive estimates constructed on the basis of a linear relationship were compared with the thickness values obtained from wells. When solving this problem, the optimal wavelet was different from the one that provided the best allocation of the paleochannel using RGB technology.
