Title :
Arrays of synthetic acoustic well logging waveforms: Computation and source design
Author :
Kurkjian, Andrew L. ; Chang, Shu-kong
Author_Institution :
Schlumberger Doll Research, Ridgefield, CT
fDate :
8/1/1983 12:00:00 AM
Abstract :
Arrays of synthetic acoustic well logging waveforms are useful in the initial development of signal processing methods, as an aid in understanding actual well logging data, and in an analysis-by-synthesis approach to data inversion. In this paper, we present a fast and accurate method for the numerical evaluation of arrays of synthetic acoustic well logging waveforms associated with a homogeneous solid formation model. The method evaluates the two-dimensional Fourier transform of the modal coefficient which is expressed in terms of the cylindrical wave reflection coefficient and cylindrical wave impedances. A table look-up and interpolation scheme for the evaluation of ratios of Hankel functions for complex-valued arguments is responsible for a factor of three reduction in the overall computation time required to generate synthetic data, relative to the evaluation of these ratios using a Hankel function evaluation algorithm. This substantial savings easily outweighs the modest increase in storage which is required for the table. A low frequency constraint on the temporal response of the source is presented to ensure that the synthetic waveforms tend to zero for large time.
Keywords :
Acoustic arrays; Acoustic reflection; Acoustic signal processing; Acoustic waves; Array signal processing; Data analysis; Fourier transforms; Signal analysis; Solid modeling; Well logging;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1983.1164158