Maxim I. Protasov

Dr. Maxim I. Protasov


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications

30 April 2012 in Geophysical Prospecting
Verified
Journal Article
Closed access
PDF file
MPMaxim I. Protasov
Maxim I. Protasov
VTV.A. Tcheverda
V.A. Tcheverda

29 April 2015 in Geophysical Prospecting
Verified
Journal Article
Closed access
PDF file
MPMaxim I. Protasov
Maxim I. Protasov
GRGalina Reshetova
Galina Reshetova
VTV.A. Tcheverda
V.A. Tcheverda

3 November 2015 in Geophysical Journal International
Verified
Journal Article
Closed access
PDF file
MPMaxim I. Protasov
Maxim I. Protasov
An approach for true-amplitude seismic beam imaging of multicomponent seismic data in 2-D anisotropic elastic media is presented and discussed. Here, the recovered true-amplitude function is a scattering potential. This approach is a migration procedure based on the weighted summation of pre-stack data. The true-amplitude weights are computed by applying Gaussian beams (GBs). We shoot a pair of properly chosen GBs with a fixed dip and opening angles from the current imaging point towards an acquisition system. This pair of beams is used to compute a true-amplitude selective image of a rapid velocity variation. The total true-amplitude image is constructed by superimposing selective images computed for a range of available dip angles. The global regularity of the GBs allows one to disregard whether a ray field is regular or irregular. P- and S-wave GBs can be used to handle raw multicomponent data without separating the waves. The use of anisotropic GBs allows one to take into account the anisotropy of the background model.

22 December 2021 in Geophysical Prospecting
Verified
Journal Article
Closed access
PDF file
ABAndrey Bakulin
Andrey Bakulin
ISIlya Silvestrov
Ilya Silvestrov
MPMaxim I. Protasov
Maxim I. Protasov

22 June 2017 in Interpretation
Verified
Journal Article
Closed access
Dmitriy KolyukhinDmitriy Kolyukhin
Dmitriy Kolyukhin
VLVadim V. Lisitsa
Vadim V. Lisitsa
MPMaxim I. Protasov
Maxim I. Protasov
DQDongfang Qu
Dongfang Qu
GRGalina Reshetova
Galina Reshetova
DVDmitry M. Vishnevsky
Dmitry M. Vishnevsky
Interpretation of seismic responses from subsurface fault zones is hampered by the fact that the geologic structure and property distributions of fault zones can generally not be directly observed. This shortcoming curtails the use of seismic data for characterizing internal structure and properties of fault zones, and it has instead promoted the use of interpretation techniques that tend to simplify actual structural complexity by rendering faults as lines and planes rather than volumes of deformed rock. Facilitating the correlation of rock properties and seismic images of fault zones would enable active use of these images for interpreting fault zones, which in turn would improve our ability to assess the impact of fault zones on subsurface fluid flow. We use a combination of 3D fault zone models, based on empirical data and 2D forward seismic modeling to investigate the link between fault zone properties and seismic response. A comparison of spatial statistics from the geologic models and the seismic images was carried out to study how well seismic images render the modeled geologic features. Our results indicate the feasibility of extracting information about fault zone structure from seismic data by the methods used.