Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Effect of fracture network percolation on the seismic wave attenuation. / Novikov, M.; Lisitsa, V.; Bazaikin, Y.
80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition. European Association of Geoscientists and Engineers, EAGE, 2018. (80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Effect of fracture network percolation on the seismic wave attenuation
AU - Novikov, M.
AU - Lisitsa, V.
AU - Bazaikin, Y.
PY - 2018/6/1
Y1 - 2018/6/1
N2 - We present numerical analysis of the wave induced fluid flows in porous-fractured media with different levels of percolation. We generated such models using discrete fracture network technique together with the simulated annealing, so that we control the percolation of the fracture system. To characterize the formed meso-scale structures we developed an algorithm based on the computational geometry. Among other parameters, we estimated the distribution of the branches lengths with respect to angle and observed that relation between them and the characteristic percolation length is not linear. The higher the percolation the smaller the changes in the structure due to the increase of the percolation. At the same time, the WIFF is extremely sensitive to the structure size, increasing with the increase of the branch lengths, not to the percolation itself.
AB - We present numerical analysis of the wave induced fluid flows in porous-fractured media with different levels of percolation. We generated such models using discrete fracture network technique together with the simulated annealing, so that we control the percolation of the fracture system. To characterize the formed meso-scale structures we developed an algorithm based on the computational geometry. Among other parameters, we estimated the distribution of the branches lengths with respect to angle and observed that relation between them and the characteristic percolation length is not linear. The higher the percolation the smaller the changes in the structure due to the increase of the percolation. At the same time, the WIFF is extremely sensitive to the structure size, increasing with the increase of the branch lengths, not to the percolation itself.
UR - http://www.scopus.com/inward/record.url?scp=85088204028&partnerID=8YFLogxK
U2 - 10.3997/2214-4609.201801547
DO - 10.3997/2214-4609.201801547
M3 - Conference contribution
AN - SCOPUS:85088204028
T3 - 80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition
BT - 80th EAGE Conference and Exhibition 2018
PB - European Association of Geoscientists and Engineers, EAGE
T2 - 80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition
Y2 - 11 June 2018 through 14 June 2018
ER -
ID: 24094188