Abstract <p>The technology of preparing the chemical raw material or fuel from associated petroleum gas envisages combustion of associated gas in low-pressure flares, emitting into the atmosphere soot (C), nitrogen dioxide (NO<sub>2</sub>), carbon dioxide (CO<sub>2</sub>), and methane (CH<sub>4</sub>). To estimate the state of the atmosphere in the region of oil-gas production, a comprehensive approach is suggested to simulate the pollutant dispersal fields in the surface air layer from flare units on the territory of the Mamontovskoye field of the Nefteyugansk district of the KhMAO. This approach incorporates the simulation of pollutant (С, NO<sub>2</sub>, CO<sub>2</sub>, and CH<sub>4</sub>) concentrations using UPRZA Eco-Center software together with ground-based data (the content of organic compounds in soils) and satellite (AIRS) data (greenhouse gas concentrations). This approach enables comprehensive studies of the state of the natural environment in remote northern oil and gas producing areas on the basis of satellite and ground-based data.</p>

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Simulation of Greenhouse Gas Content in the Atmosphere of Oil- and Gas-Producing Areas

  • M. N. Alekseeva,
  • D. V. Fedorov,
  • I. G. Yashchenko,
  • I. V. Russkikh

摘要

Abstract

The technology of preparing the chemical raw material or fuel from associated petroleum gas envisages combustion of associated gas in low-pressure flares, emitting into the atmosphere soot (C), nitrogen dioxide (NO2), carbon dioxide (CO2), and methane (CH4). To estimate the state of the atmosphere in the region of oil-gas production, a comprehensive approach is suggested to simulate the pollutant dispersal fields in the surface air layer from flare units on the territory of the Mamontovskoye field of the Nefteyugansk district of the KhMAO. This approach incorporates the simulation of pollutant (С, NO2, CO2, and CH4) concentrations using UPRZA Eco-Center software together with ground-based data (the content of organic compounds in soils) and satellite (AIRS) data (greenhouse gas concentrations). This approach enables comprehensive studies of the state of the natural environment in remote northern oil and gas producing areas on the basis of satellite and ground-based data.