Liouville partial-differential-equation methods for computing 2-D complex-valued eikonals in the multivalued sense in attenuating media

Geophysics ◽  
2021 ◽  
pp. 1-54
Author(s):  
Shingyu Leung ◽  
Jiangtao Hu ◽  
Jianliang Qian

We present Liouville partial-differential-equation (PDE) based methods for computing complex-valued eikonals in the multivalued (or multiple arrival) sense in attenuating media. Since the earth is comprised of attenuating materials, seismic waves usually attenuate so that seismic data processing calls for properly treating the resulting energy losses and phase distortions of wave propagation. In the regime of high-frequency asymptotics, the complex-valued eikonal is a crucial ingredient for describing wave propagation in attenuating media, since it is a unique quantity which summarizes two wave properties into one function: its real and imaginary parts are able to capture the effects of phase dispersions and amplitude attenuations, respectively. Because the usual ordinary-differential-equation (ODE) based ray-tracing methods for computing complex-valued eikonals distribute the eikonal solution irregularly in real space, we are motivated to develop PDE based Eulerian methods for computing complex-valued eikonals on regular meshes. Therefore, we propose to solve novel paraxial Liouville PDEs in real phase space so that we can compute the real and imaginary parts of the complex-valued eikonal in the multivalued sense on regular meshes. We dub the resulting method the Liouville PDE method for complex multivalued eikonals in attenuating media. We also provide Liouville PDE formulations for computing multi-valued amplitudes. Numerical examples, including a synthetic gas-cloud model, demonstrate that the proposed methods yield highly accurate complex-valued eikonals in the multivalued sense.

Geophysics ◽  
2021 ◽  
pp. 1-53
Author(s):  
Jiangtao Hu ◽  
Jianliang Qian ◽  
Jian Song ◽  
Min Ouyang ◽  
Junxing Cao ◽  
...  

Seismic waves in earth media usually undergo attenuation, causing energy losses and phase distortions. In the regime of high-frequency asymptotics, a complex-valued eikonal is an essential ingredient for describing wave propagation in attenuating media, where the real and imaginary parts of the eikonal function capture dispersion effects and amplitude attenuation of seismic waves, respectively. Conventionally, such a complex-valued eikonal is mainly computed either by tracing rays exactly in complex space or by tracing rays approximately in real space so that the resulting eikonal is distributed irregularly in real space. However, seismic data processing methods, such as prestack depth migration and tomography, usually require uniformly distributed complex-valued eikonals. Therefore, we propose a unified framework to Eulerianize several popular approximate real-space ray-tracing methods for complex-valued eikonals so that the real and imaginary parts of the eikonal function satisfy the classical real-space eikonal equation and a novel real-space advection equation, respectively, and we dub the resulting method the Eulerian partial-differential-equation method. We further develop highly efficient high-order methods to solve these two equations by using the factorization idea and the Lax-Friedrichs weighted essentially non-oscillatory (WENO) schemes. Numerical examples demonstrate that the proposed method yields highly accurate complex-valued eikonals, analogous to those from ray-tracing methods. The proposed methods can be useful for migration and tomography in attenuating media.


2018 ◽  
Vol 8 (1) ◽  
pp. 26
Author(s):  
Indriati Retno Palupi ◽  
Wiji Raharjo ◽  
Eko Wibowo ◽  
Hafiz Hamdalah

One way to solve fluid dynamics problem is using partial differential equation. By using Taylor expansion, fluid dynamics can be applied simply. For the example is tsunami wave. It is include to hyperbolic partial differential equation, tsunami wave propagation can describe in space and time function by using Euler FTCS (Forward Time Central Space) formula.


2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
I. C. Obagbuwa ◽  
A. O. Adewumi

Hunger component is introduced to the existing cockroach swarm optimization (CSO) algorithm to improve its searching ability and population diversity. The original CSO was modelled with three components: chase-swarming, dispersion, and ruthless; additional hunger component which is modelled using partial differential equation (PDE) method is included in this paper. An improved cockroach swarm optimization (ICSO) is proposed in this paper. The performance of the proposed algorithm is tested on well known benchmarks and compared with the existing CSO, modified cockroach swarm optimization (MCSO), roach infestation optimization RIO, and hungry roach infestation optimization (HRIO). The comparison results show clearly that the proposed algorithm outperforms the existing algorithms.


2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
S. Mazzucchi

A probabilistic representation for the solution of the partial differential equation (∂/∂t)u(t,x)=−αΔ2u(t,x),α∈ℂ, is constructed in terms of the expectation with respect to the measure associated to a complex-valued stochastic process.


Author(s):  
T. W. Lowe ◽  
M. I. G. Bloor ◽  
M. J. Wilson

Abstract The partial differential equation (PDE) method is used to generate surfaces which can be completely described using few parameters all of which have a global influence on the surface shape. We show how this method is suitable for the design of surfaces which optimize some property of the surface subject to certain given design restrictions. This is illustrated by considering two examples: the design of a yacht and the reduction of stress in a loaded blend.


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