ABSTRACT

Real-time sonic logging data processing becomes a nontrivial task to accurately and automatically evaluate both the compressional and shear slowness when human interactions are not allowed and when the computing time is limited between different transmitter firings. To answer the challenge of real-time sonic data processing, this paper presents well-designed, self-adaptive, and fully automatic data-driven methods to accurately generate compressional and shear wave slowness logs of both monopole and dipole waveforms in different types of formations. This new real-time processing takes advantage of the new Xaminer™ sonic logging tool, which has no detectable compressional tool arrivals. Therefore, a first motion detection technique is applied to capture the arrival time of the first compressional arrival in the array waveforms. The calculated compressional arrival time and slowness are then used to calculate a slowness-time window to locate the monopole refracted shear wave slowness based on the physical relationship between the compressional and shear slowness. To process the dipole flexural waves, this paper provides a new, data-driven frequency domain method that takes advantage of a full dispersion response, by which both the asymptotic shear slowness value and flexural wave dispersion response can be evaluated.

Presentation Date: Monday, October 17, 2016

Start Time: 4:35:00 PM

Location: 168

Presentation Type: ORAL

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