Выделение структурных элементов оползня на основе комплексной сейсмо-геоэлектрической модели оползневых склонов по данным томографических технологий инженерной геофизики. / Burlutskiy, S.; Glazounov, V.
2017. Paper presented at 13th Conference and Exhibition on Engineering Geophysics 2017, Kislovodsk, Russian Federation.Research output: Contribution to conference › Paper › peer-review
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TY - CONF
T1 - Выделение структурных элементов оползня на основе комплексной сейсмо-геоэлектрической модели оползневых склонов по данным томографических технологий инженерной геофизики
AU - Burlutskiy, S.
AU - Glazounov, V.
PY - 2017/4/25
Y1 - 2017/4/25
N2 - Engineering of oil and gas pipelines at the hazardous landslide processes conditions requires a detailed study of the structure and properties of soils of landslide slopes. Application of modern tomography geophysics technologies extends capabilities to obtain representative information about the structure of the landslide. The seismic-geoelectric model of landslides which is presented in the report increases the efficiency of the use of geophysical methods. It provides a detailed study of landslide slopes in order to clarify and supplement data engineering and geological surveys.
AB - Engineering of oil and gas pipelines at the hazardous landslide processes conditions requires a detailed study of the structure and properties of soils of landslide slopes. Application of modern tomography geophysics technologies extends capabilities to obtain representative information about the structure of the landslide. The seismic-geoelectric model of landslides which is presented in the report increases the efficiency of the use of geophysical methods. It provides a detailed study of landslide slopes in order to clarify and supplement data engineering and geological surveys.
UR - http://www.scopus.com/inward/record.url?scp=85027244574&partnerID=8YFLogxK
U2 - 10.3997/2214-4609.201700410
DO - 10.3997/2214-4609.201700410
M3 - материалы
AN - SCOPUS:85027244574
Y2 - 24 April 2017 through 28 April 2017
ER -
ID: 42364794