Geophysical Survey

About: Geophysical Survey is a facility organization based out in Obninsk, Russia. It is known for research contribution in the topics: Geology & Seismology. The organization has 308 authors who have published 256 publications receiving 3067 citations. The organization is also known as: Federal State Institution of Science Geophysical Survey of the Siberian Branch of the Russian Academy of Sciences.

Algorithm for Suppressing Sleeper Interferences in Railway Subgrade GPR Signals

Abstract: When the ground-penetrating radar(GPR) is used in exploration of railway subgrades,its records are severely interfered in data processing by direct-coupled waves from antennas,strong rail reflection,and diffraction and multiple waves caused by sleepers.Sleeper interference in raw records possesses the feature of space-time periodic distribution.In this paper,the resampled multiple channels of records are translated,superposed and reaveraged by one time and multiple times of sleeper-to-sleeper periods to from the time space filter screen holding the interference information of sleepers.It is seen that the time space filter screen can be used to well suppress the diffraction and multiple waves caused by sleepers and direct-coupled waves and strong rail reflections can also be suppressed at the same time.Numerical simulation and measured data processing show the time space filter screen algorithm has obvious effects in improving the SNR and resolution capability of abnormalities of the GPR records.

Integration potential of microseismic analysis and geophysical methods. gas condensate field case study

Abstract: This study is devoted to an analysis of microseisms registered on gas-condensate field area. Presence of seismic emission effect on a part of the area is demonstrated. A microseismic anomaly is outlined in NW part of the area and proves correct by 3 seismic CDP profiles and interpreted as a reservoir. The results of the special processing was compared to the results of a set of other geophysical methods. Correlation between the found anomaly and an anomaly found with aerogamma-specrtometry is shown. The results can be used in an integrated interpretation of geophysical data for oil and gas reservoirs of both structural as nonstructural types.

Detection of fault structures with airborne LiDAR point-cloud data

Abstract: The airborne LiDAR (Light Detection And Ranging) technology is a new type of aerial earth observation method which can be used to produce high-precision DEM (Digital Elevation Model) quickly and reflect ground surface information directly Fault structure is one of the key forms of crustal movement, and its quantitative description is the key to the research of crustal movement The airborne LiDAR point-cloud data is used to detect and extract fault structures automatically based on linear extension, elevation mutation and slope abnormal characteristics Firstly, the LiDAR point-cloud data is processed to filter out buildings, vegetation and other non-surface information with the TIN (Triangulated Irregular Network) filtering method and Burman model calibration method TIN and DEM are made from the processed data sequentially Secondly, linear fault structures are extracted based on dual-threshold method Finally, high-precision DOM (Digital Orthophoto Map) and other geological knowledge are used to check the accuracy of fault structure extraction An experiment is carried out in Beiya Village of Yunnan Province, China With LiDAR technology, results reveal that: the airborne LiDAR point-cloud data can be utilized to extract linear fault structures accurately and automatically, measure information such as height, width and slope of fault structures with high precision, and detect faults in areas with vegetation coverage effectively

Specialized seismic noise registration station “Nachiki” in the geophysical monitoring system of Kamchatka

Abstract: The specialized station of high-frequency seismic noise registration “Nachiki” is described arranged on Kamchatka in 1987. The instrument-methodical aspects of registration are considered, as well as history of observations development. New principal experimental results of surveys are represented. The results of use of high-frequency seismic noises are summarized to reveal strong earthquake precursors in the online mode in 1996–2008.