Research output: Contribution to journal › Article › peer-review
Environmental assessment in the oil and gas production areas (North of western Siberia). / Opekunova, M. G.; Opekunov, A. Yu; Kukushkin, S. Yu; Ganul, A. G.
In: International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, Vol. 17, No. 14, 2017, p. 627-633.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Environmental assessment in the oil and gas production areas (North of western Siberia)
AU - Opekunova, M. G.
AU - Opekunov, A. Yu
AU - Kukushkin, S. Yu
AU - Ganul, A. G.
PY - 2017
Y1 - 2017
N2 - Analysis of the environment state of oil and gas regions in the Yamalo-Nenets Autonomous District (YaNAO) on the basis of researches in the north of Western Siberia (2003-2016 years) is carried out. The area of research is Nadym-Pur-Taz interfluve, the north of Western Siberia, the Yamal-Nenets Autonomous District. Assessment of environmental components (surface waters, bottom sediments, soils, vegetation, and snow) has been carried out. The studies were conducted at three levels of landscape organization: local (near the sources of pollution), territorial (within the license areas) and regional (YaNAO territory). During the laboratory stage main physical-chemical characteristics of samples (more than 5000 samples), microelements (Cu, Zn, Cr, Pb, Cd, Hg, V, Mn, Ni, Co, Ba, As), and oil hydrocarbons (HC) content were determined. Also hydrochemical parameters were determined in surface waters. Soil, plants and bottom sediments samples were analyzed for heavy metals HM total content using inductively coupled plasma atomic-emission spectrometry (ICP-AES) with full acid digestion. The degree of transformation and pollution of natural systems at development of oil and gas fields for different levels of organization of landscape were determined. Most representative plants spices of technogenic pollution are identified. Indicators of anthropogenic impact at development of oil and gas fields were found.
AB - Analysis of the environment state of oil and gas regions in the Yamalo-Nenets Autonomous District (YaNAO) on the basis of researches in the north of Western Siberia (2003-2016 years) is carried out. The area of research is Nadym-Pur-Taz interfluve, the north of Western Siberia, the Yamal-Nenets Autonomous District. Assessment of environmental components (surface waters, bottom sediments, soils, vegetation, and snow) has been carried out. The studies were conducted at three levels of landscape organization: local (near the sources of pollution), territorial (within the license areas) and regional (YaNAO territory). During the laboratory stage main physical-chemical characteristics of samples (more than 5000 samples), microelements (Cu, Zn, Cr, Pb, Cd, Hg, V, Mn, Ni, Co, Ba, As), and oil hydrocarbons (HC) content were determined. Also hydrochemical parameters were determined in surface waters. Soil, plants and bottom sediments samples were analyzed for heavy metals HM total content using inductively coupled plasma atomic-emission spectrometry (ICP-AES) with full acid digestion. The degree of transformation and pollution of natural systems at development of oil and gas fields for different levels of organization of landscape were determined. Most representative plants spices of technogenic pollution are identified. Indicators of anthropogenic impact at development of oil and gas fields were found.
KW - Environmental pollution
KW - Heavy metals
KW - Hydrocarbons
KW - North of Western Siberia
KW - Oil and gas production region
UR - http://www.scopus.com/inward/record.url?scp=85032496851&partnerID=8YFLogxK
U2 - 10.5593/sgem2017/14/S06.079
DO - 10.5593/sgem2017/14/S06.079
M3 - Article
AN - SCOPUS:85032496851
VL - 17
SP - 627
EP - 633
JO - International Multidisciplinary Scientific GeoConference-SGEM
JF - International Multidisciplinary Scientific GeoConference-SGEM
SN - 1314-2704
IS - 14
T2 - 17th International Multidisciplinary Scientific Geoconference, SGEM 2017
Y2 - 29 June 2017 through 5 July 2017
ER -
ID: 9153936