Remote monitoring of the state of hydrocarbon pollution of the geological environment and assessment of the risks of dangerous situations in areas of long-term oil and gas production and compact living of the population

The results of the analysis of geoecological problems of territories of long-term hydrocarbon production are presented. Based on the analysis of ground-based and remote studies, the possibilities of space data were determined during the eco-monitoring of hydrocarbon deposits. A methodological and technological scheme for assessing the risks of harming the environment is proposed. The list of tasks that can be solved using Earth remote sensing data:- control of environmental pollution by hydrocarbons (oil, gas) at different stages of the functioning of the oil and gas complex - from the search and exploitation of deposits, to the transportation, storage and processing of petroleum products;- flooding and flooding of territories of oil production by underground waters;- identification, mapping, field studies, discontinuous violations of various ranks, are ways of migration of oil and gas in the upper layers of the earth's crust;- identification and mapping of technogenic sources of gas contamination of the surface layer of the atmosphere, namely:- non-geometrical wells, oil and gas pipelines;- buried under modern sediments, pit-well houses, mines.Satellite monitoring consists of 4 stages. At the first, preliminary stage, objects of remote monitoring are determined, a base of satellite and thematic data is formed, the foundations of a future thematic GIS are laid. At the second stage, the actual detection (decryption) of objects and territories polluted with hydrocarbons is carried out. At the next, third stage, a set of field work is carried out in order to validate the research methodology and verify the data obtained using ground-based measurements.At the fourth, final stage, based on an analysis of all the information received, an assessment of the risks of dangerous situations is carried out and their possible consequences are predicted.The possibilities of assessing the risks of dangerous situations in areas of long-term hydrocarbon production according to remote sensing data are considered. A review of hazardous situations resulting from hydrocarbon production in the city of Borislav is given .; recommendations are proposed to reduce the risk of their occurrence.

Download Full-text

Monitoring of glaciers in the Polar Urals using remote sensing Data

E3S Web of Conferences ◽

10.1051/e3sconf/202021704003 ◽

2020 ◽

Vol 217 ◽

pp. 04003

Author(s):

Natalia Martynova ◽

Valentina Budarova ◽

Artem Sheremetinsky ◽

Nikita Mezentsev

Keyword(s):

Remote Sensing ◽

Technological Progress ◽

Satellite Images ◽

Research Question ◽

Remote Sensing Data ◽

Field Work ◽

Sources Of Information ◽

Sensing Data ◽

Polar Urals ◽

The Polar Urals

The development of technological progress provides more opportunities for indirect monitoring of changes in the environment. Remote sensing is one of The most accessible and reliable sources of information. In this work, we used satellite images from the Landsat family. The theoretical justification of the research question is given. The research methodology was developed. Collection and processing of satellite images for various time periods. A series of schematic maps based on remote sensing Data has been created. As a result of digitization of satellite images, 9 glacier contours were obtained by year. We determined the area of the Romantics glacier and found that it lost at least 60% of its original area. These studies were used to build a series of cartographic schemes that clearly show the reduction of the glacier area. It is concluded that the use of remote sensing allows you to solve problems, monitoring the object. The use of this method allows not only to save time for field work, but also material costs for expedition equipment and various equipment. This method can be tested on any objects.

Download Full-text

Coastal Boundary-Layer Characteristic During Night Time Using a Long-Term Acoustic Remote Sensing Data

Studies in Systems, Decision and Control - Environmental Protection and Disaster Risks ◽

10.1007/978-3-030-70190-1_4 ◽

2021 ◽

pp. 43-57

Author(s):

Damyan Barantiev ◽

Ekaterina Batchvarova

Keyword(s):

Remote Sensing ◽

Boundary Layer ◽

Remote Sensing Data ◽

Night Time ◽

Sensing Data ◽

Coastal Boundary Layer ◽

Layer Characteristic ◽

Acoustic Remote Sensing ◽

Coastal Boundary

Download Full-text

Long-term (2006–2015) variations and relations of multiple atmospheric pollutants based on multi-remote sensing data over the North China Plain

Environmental Pollution ◽

10.1016/j.envpol.2019.113323 ◽

2019 ◽

Vol 255 ◽

pp. 113323 ◽

Cited By ~ 7

Author(s):

Yidan Si ◽

Hongmei Wang ◽

Kun Cai ◽

Liangfu Chen ◽

Zhicheng Zhou ◽

...

Keyword(s):

Remote Sensing ◽

North China Plain ◽

North China ◽

Remote Sensing Data ◽

Atmospheric Pollutants ◽

Sensing Data ◽

The North ◽

The North China Plain

Download Full-text

The analysis of long-term time and spatial variations of vegetative productivity using of remote sensing data

2007 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2007.4422923 ◽

2007 ◽

Author(s):

L. Spivak ◽

I. Vitkovskaya ◽

M. Batyrbaeva

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Spatial Variations ◽

Sensing Data

Download Full-text

Long-term spatiotemporal variation analysis and probability prediction of algal blooms in Lake Chaohu (2009-2018) based on multi-source remote sensing data

Journal of Lake Sciences ◽

10.18307/2021.0204 ◽

2021 ◽

Vol 33 (2) ◽

pp. 414-427

Author(s):

Qi Guohua ◽

◽

Ma Xiaoshuang ◽

He Shiyu ◽

Wu Penghai

Keyword(s):

Remote Sensing ◽

Algal Blooms ◽

Remote Sensing Data ◽

Spatiotemporal Variation ◽

Variation Analysis ◽

Lake Chaohu ◽

Sensing Data ◽

Probability Prediction

Download Full-text

Integrated geological interpretation of remote sensing data (Boysun structural-tectonic zone)

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/929/1/012002 ◽

2021 ◽

Vol 929 (1) ◽

pp. 012002

Author(s):

L R Bikeeva ◽

Z Kh Safarov ◽

M G Yuldasheva ◽

N M Akramova ◽

Sh A Umarov

Keyword(s):

Remote Sensing ◽

Oil And Gas ◽

Sedimentary Cover ◽

Remote Sensing Data ◽

Remotely Sensed Data ◽

Tectonic Zone ◽

Geological Interpretation ◽

Sensing Data ◽

Local Structures ◽

Ring Structures

Abstract In recent years, remote sensing data are increasingly used in the practice of oil and gas prospecting. This article discusses the main methodological aspects of identifying oil and gas promising structures by using materials for interpreting remote sensing data and a complex of geological and geophysical data. Remotely sensed data exhibit a regional review of the various geological formations and tectonic fracture zone and faults that are otherwise not possible detection by human eyes on the ground. The method of structural interpretation space image allows you to: detail the internal structure of oil and gas regions; to reveal the position and features of the tectonic blocks, structures of the second and third (anticlines, synclines, monoclines, etc.) orders; identify major disruptive violations; identify chains of local structures; fix the transverse structural elements that determine tectonic fragmentation. By deciphering the remote sensing data, the distribution and nature of the lineament network marking disjunctive dislocations and zones of increased fracturing are revealed and analyzed, as well as ring structures are detected, which in most cases indicate local structures of the sedimentary cover at different depth sections. The lithology and lineament interpreted from these multi-level data were integrated with data collected from the ground.

Download Full-text