Monitoring gas leakage using remote sensing materials

UDK: 528.8
DOI: 10.24887/0028-2448-2022-5-48-51
Key words: degassing, remote sensing of the Earth, remote sensing, decoding, hydrogen, hydrogen degassing, ring structures.
Authors: K.I. Dantsova (Gubkin University, RF, Moscow), L.V. Miloserdova (Gubkin University, RF, Moscow), A.V. Osipov (Gubkin University, RF, Moscow), A.S. Monakova (Gubkin University, RF, Moscow), L.I. Bondareva (Gubkin University, RF, Moscow)

Recently, the issues of degassing of the subsurface, especially in connection with the problems of formation of hydrocarbon deposits and global warming, have been the area of close attention of researchers. Numerous works and scientific conferences are devoted to this problems. The most famous ways of concentrated degassing are volcanoes and mud volcanoes. However, the issue of observation and fixation of scattered paths of degassing of the Earth has been developed to a much lesser extent. Nevertheless, there is a group of methods optimally adapted for detecting such phenomena — remote sensing, which covers a number of areas of science and technology that have developed for more than a hundred years. Gases released from the subsurface are primarily hydrogen, carbon monoxide, methane, helium and to a lesser extent others. A huge number of degassing structures have been found in various parts of the world, which can be traced using satellite images. The prospects for increasing the efficiency of using aerospace monitoring methods to solve the problems of the oil and gas complex are associated with the development and use of new methods, technologies and equipment for remote sensing, aerospace information processing, the use of modern geoinformation technologies, as well as the integration of aerospace and ground data. There are different opinions about the source of deep gases, the forms of their release, ways and methods of ascent to the daytime surface. For remote detection of surface gas phenomena, multispectral remote sensing data of medium resolution are best suited. The article uses materials from the public resources EarthExplorer (USGS), Google Maps, Google Earth, Google Earth Engine Datasets.

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