Alexander Yablokov

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Alexander Yablokov
Alexander-Yablokov.jpg
BSc Geophysics
MSc Geophysics
BSc university Novosibirsk State University
MSc university Novosibirsk State University

Alexander Yablokov graduated from the Geology and Geophysics Department of Novosibirsk State University with a Bachelor’s degree in geophysics in 2015 and a Master’s degree in 2017. Alexander is a post graduate student of NSU and works at the Research Institute conducting research in several areas of geophysics. The primary focus is the implementation and development of algorithms for processing and interpretation of exploration and engineering seismic data. Alexander has advanced skills in numerical modelling of seismic waves, programming, seismic data processing, and inversion algorithms, and he has some experience with seismic surveys. His area of study is connected to near-surface seismic exploration for geotechnical and engineering applications, and his research focuses on developing algorithms for automatic processing of surface wave data with the joint usage of Raleigh and Love waves inversion algorithm and combining it with first arrival inversion techniques such as the classical plus-minus and seismic tomography methods. Current work focuses on implementation of MASW in lateral heterogeneous medium. Alexander is studying advanced spectrum analysis of surface waves. During the research, he often helps others with synthetic seismograms modelling by finite difference solvers and colleagues provide him with field data.

2018 Near Surface Research Award Recipient

Landslide Hazard Research by Seismic Methods

Abstract: Current climate changes and increasing human impact on the environment influence the condition and stability of the soil. This leads to thawing permafrost, erosion, and ground distortions. One of the dangerous results of these processes is landslides. Landslides are a natural hazard in many countries not only for people and their homes but also for strategically important engineering structures. In order to prevent these events from occurring, it is necessary to diagnose physical and mechanical properties of geological environment precisely and predict the potential appearance of ground failures. A landslide is a complex geological formation consisting of a combination of layers having opposite gradation and physical properties. In assessing the danger of landslides, it is of prime importance to investigate the structure of the landslide slope and its water saturation as well as the properties and status of the soils comprising the slope. Engineering seismic prospecting is the most suitable method for monitoring changes of physical and mechanical properties. It is a part of geological prospecting works performed during the building and service observation of engineering constructions (e.g., roads, buildings, dams, etc.) and infrastructure of mining facilities (mining, coal producer, open cuts, etc.). Conventional near-surface geophysical techniques including seismic, electrical methods, magnetometry, are applied with varying success to study the structure of the landslide. Existing software and method analogues do not meet requirements for accuracy of processed engineering seismic data. In particular, this is due to the fact that geophysical methods allow images in terms of physical parameters only, which are not straightforward related to the geological and mechanical properties required by geologists.

It is especially important to conduct these studies in areas of permafrost in Russia, which covers more than 60% of the entire territory, and presents a wide variety of specific problems. For the areas of permafrost in Yakutia, where diamonds are actively mined, it is necessary to control the stability of foundations and slopes of open-cast working. This is also the problems of exploring and developing the Arctic region (our institute has the Arctic Center - "Samoilovsky Island" - a new research station in the Lena River delta). The problem of monitoring the infrastructure in the fields of Western Siberia, since mechanical loads on the permafrost are produced by all hydrocarbon production facilities. It is also the problems of researching unique geological objects of permafrost in the Altai Republic, which are of great scientific interest.

The key idea is to use a combination of refraction and surface waves methods: combination P-wave and S-wave velocities will be used for soils physical and mechanical properties reconstruction based on correlation dependencies. Thus, the purpose of the research is to improve diagnostic methods of soils physical and mechanical properties using seismic prospecting data. The following objectives will be performed:

  1. Numerical experiments for testing and determining the range of applicability of the developed methods and algorithms.
  2. Acquisition of field seismic data in the Novosibirsk region and the Republic of Altai.
  3. Field data processing for determining the velocity structure and physical and mechanical properties.
  4. Interpretation of results and determination of the degree of a landslide hazard in the region.

During the project field data will be acquired for an active landslide at the Chagan-Uzun settlement in the Agach district, Republic of Altai. Data will involve seismic reflection, seismic refraction, seismic tomography, surface waves data, and electrical tomography. The data will be processed using our methods, in particular, a modified method of spectral analysis of surface waves and a layer-by-layer velocity section reconstruction method. The resulting seismic Vp and Vs velocity models will be compared with each other and with electrical resistivity data processing results. Further, we plan to interpret the geophysical results within engineering geomechanical approaches. We have previously conducted similar studies of the road, when it was necessary to study the hydrogeological parameters of the subsurface by seismic methods.[1]. We expect that the interpretation and conclusions will allow us to study the genesis and evolution of the landslide. We will be able to assess the danger of the descent of a landslide.

Selected Publications

Azarov, A. V., A. S. Serdyukov, and A. A. Yablokov, 2016, Improvement in accuracy of point seismic sources wavefields numerical modeling, IOP Conference Series: Earth and Environmental Science, IOP Publishing, Т. 43. – №. 1. – С. 012020. doi:10.1088/1755-1315/43/1/012020.

Kurlenya, M. V., A. S. Serdyukov, G. S. Chernyshov, A.V. Yablokov. P. A. Dergach, and A. A. Duchkov, 2016, Procedure and evidence of seismic research into physico-mechanical properties of cohesive soils, Journal of Mining Science, Vol. 52, issue 3, pp 417–423.

Kurlenya, M. V., G. S. Chernyshov, A. S. Serdyukov, A. A. Duchkov, and A. V. Yablokov, 2016, Procedure and results of seismic investigations into causes of landslides in permafrost rocks, Journal of Mining Science, Vol. 52, issue 5, pp 835–841.

Nikitin, A. A., A. S. Serdyukov, A. A. Duchkov, A. V. Azarov, and A. V. Yablokov, 2015, Parallel implementation of seismic traveltime computations for 3D tomography, 15th International Multidisciplinary Scientific GeoConference SGEM 2015, Surveying Geology and Mining Ecology Management (Albena, Bulgaria, 18–24, June, 2015): Conference proceedings, Т. Vol. 3 (1) – С.919-924.

Serdyukov, A. S., A. V. Yablokov, G. S. Chernyshov, and A. V. Azarov, 2017, The surface waves-based seismic exploration of soil and ground water, IOP Conference Series: Earth and Environmental Science, IOP Publishing, Т. 53. – №. 1. – С. 012010. doi:10.1088/1755-1315/53/1/012010.

References

  1. Kurlenya, M.V., A. S. Serdyukov, G. S. Chernyshov, A. V. Yablokov, P. A. Dergach and A. A. Duchkov, 2017, Procedure and evidence of seismic research into physico-mechanical properties of cohesive soils, Geomechanics, https://link.springer.com/article/10.1134/S1062739116030598

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Alexander Yablokov
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