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Volume 37 Number 3
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

Seismic attenuation introduces modifications in the wavelet shape in vertical seismic profiles. These modifications can be quantified by measuring particular signal attributes such as rise‐time, period and shape index. Use of signal attributes leads to estimations of a seismic‐attenuation log (‐log).

To obtain accurate signal attributes it is important to minimize noise influence and eliminate local interference between upgoing and downgoing waves at each probe location. When tube waves are present it is necessary to eliminate them before performing separation of upgoing and downgoing events. We used a trace‐by‐trace Wiener filter to minimize the influence of tube waves. The separation of upgoing and downgoing waves was then performed in the frequency domain using a trace‐pair filter.

We used three possible methods based on signal attribute measurements to obtain g‐log from the extracted downgoing wavefield. The first one uses a minimum phasing filter and the arrival time of the first extremum. The two other methods determine the ‐factor from simple relations between the amplitudes of the first extrema and the pseudo‐periods of the down‐going wavelet.

The relations determined between a signal attribute and traveltime over quality factor were then calibrated using field source signature and constant‐ models computed by Ganley's method.

‐logs thus obtained from real data are discussed and compared with geological information, specifically at reservoir level.

Analysis of the tube wave arrivals at the level of the reservoir showed a tube wave attenuation that could not be explained by simple transmission effects. There was also a loss of signal coherence. This could be interpreted as tube wave diffusion in the porous reservoir, followed by dispersion. If this interpretation can be verified, tube wave analysis could lead to further characterization of porous permeable zones.

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