|
This article is cited in 3 scientific papers (total in 3 papers)
The numerical modeling of the elastic waves
propagation in the geological media with gas cavities using the grid-characteristic method
P. V. Stogniia, N. I. Khokhlovb, I. B. Petrovba a Moscow Institute of Physics and Technology, Institutskii per. 9,
Dolgoprudnyi, Moscow Region, 141700 Russia
b Scientific Research Institute for System Analysis, Russian Academy of Sciences,
Nakhimovskii pr. 36/1, Moscow, 117218 Russia
Abstract:
The shallow gas in the ground geological layers of the water space is of great danger for the drilling rigs in
the case of an accident opening of the gas deposits. Gas starts rising towards the surface of water, and sooner
or later, the gas emission into the atmosphere threatens the environment. It is very important to be able to
forecast the gas emissions in order to prevent the catastrophic consequences with the destruction of drilling
rigs and people fatalities.
This paper presents the results for the numerical modeling of seismic waves propagation in models with
gas deposits through the layered soil towards the surface of water for the 3D case. The modeling was carried
out for the 4-year period for the layers, which are located at the depth of 1000 m from the bottom of the sea.
The results of the computations (the wave pictures and seismograms) show the approach of gas to the surface
of water for the 4th year of the computations. The consistency of the results for the 3D problem with the
results for the 2D problem, early obtained by the authors, is very important for the further research into the
area in question.
Key words:
gas pockets, numerical 3D modelling, grid-characteristic method, Arctic shelf.
Received: 11.04.2019 Revised: 12.06.2019 Accepted: 16.04.2020
Citation:
P. V. Stognii, N. I. Khokhlov, I. B. Petrov, “The numerical modeling of the elastic waves
propagation in the geological media with gas cavities using the grid-characteristic method”, Sib. Zh. Vychisl. Mat., 23:3 (2020), 325–338; Num. Anal. Appl., 13:3 (2020), 271–281
Linking options:
https://www.mathnet.ru/eng/sjvm751 https://www.mathnet.ru/eng/sjvm/v23/i3/p325
|
Statistics & downloads: |
Abstract page: | 144 | Full-text PDF : | 28 | References: | 13 | First page: | 6 |
|