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Frequency domain seismic forward modelling: A tool for waveform ...

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Chapter 2<br />

Solving frequency <strong>domain</strong> wave equations:<br />

Numerical Considerations<br />

2.1 Introduction<br />

Seismic <strong><strong>for</strong>ward</strong> <strong>modelling</strong> can be <strong>for</strong>mulated as a time <strong>domain</strong> inital value<br />

problem or as a frequency <strong>domain</strong> boundary value problem (see Chapter 1 equation<br />

(1.5)). Explicit initial value problems do not require a large amount of memory to<br />

run, however the amount of computational time can be signicant if the number of<br />

time steps or the number of sources is large. The numerical solution of boundary<br />

value problems involve solving a large (usually sparse) system of linear equations<br />

(i.e., the matrix S ~<br />

in equation (1.5)). The cost of solving the system increases dramatically<br />

as the number of equations increases. To per<strong>for</strong>m full matrix inversion,<br />

or Gaussian elimination on a large system of linear equations requires a signicant<br />

amount of memory and CPU time. However, <strong>for</strong> sparse systems, savings can be<br />

obtained by exploiting the sparsity, and further savings are realized when a large<br />

number of right hand sides are involved (representing additional sources in the <strong>seismic</strong><br />

<strong>modelling</strong> case). The utility of dealing with multiple right hand sides is critical<br />

in <strong>seismic</strong> inverse problems, in which only a limited number of frequencies <strong>for</strong> a<br />

large number of sources may be required (Pratt and Worthington, 1990). This is<br />

35

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