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Sonic logging is a well logging tool that provides a formation’s interval transit time
Journal of Rock Mechanics and Geotechnical Engineering, 2020
This article presents a case study concerning a seismic characterization project. Full-wave sonic logging was used to characterize the shallow compressional wave and shear wave velocity profiles in the site. Anomalous values of the Poisson’s ratio derived from the velocity profiles suggested that the boreholes might have traversed slow formations (i.e. with shear wave velocity smaller than the borehole fluid compressional wave velocity or “mud-wave speed”) and that conventional processing of the sonic logs might have misinterpreted the direct arrivals of fluid acoustic waves as arrivals caused by shear wave propagation in the rock. Consequently, the shear wave velocity profiles provided by the contractor were considered to be unreliable by the project team. To address these problems, a non-conventional determination of the shear wave velocity was implemented, based on the relationship between the Poisson’s ratio of the rock formation and the shape of the first train of sonic waves which arrived to the receivers in the sonic probe. The relationship was determined based on several hundreds of finite element simulations of the acoustic wave propagation in boreholes with the same diameter as used in the perforations. The present article describes how this non-conventional approach was developed and implemented to obtain the shear wave velocity profiles from the raw sonic logs. The approach allows an extension of the range of applicability of full-wave sonic logging to determination of shear wave velocity profiles in formations with low compressional wave velocities. The method could be used to obtain shear wave velocity profiles where compressional wave velocity is as low as slightly larger than the mud-wave speed. A sample sonic log in Log ASCII Standard (LAS) format is provided as supplementary material to this paper via Mendeley Data, together with the FORTRAN source code used to process the log following the approach described in this study.
2011
For fast anisotropic formations, such as the North American gas shales, sonic logs measure group slowness for propagation with the group angle equal to the borehole inclination angle. For deviated wells, the distinction between group and phase angle is as important as the distinction between phase and group velocity. When inverting from sonic data to elastic parameters, the use of an incorrect correspondence rule can lead to inconsistent and unrealistic values, particularly for C13 or equivalently, Thomsen’s δ.
The sonic profile is used, mainly in exploration wells, which receive greater investment in data acquisition because these wells serve as a reference for analyzing the petroleum potential of the area. The sonic profile was introduced in the 50s, with the goal of providing support for seismic exploration, and subsequently became extensively used for studies on total porosity of the rocks traversed by the well. This paper aims to apply the use of Box-Jenkins methodology to analyze the sonic profile in the process of profiling an oil well. The data were provided by PETROBRAS/UO-SEAL, the analyzes were performed using the variable DT (delay time). The statistical software was used to meet the best ARIMA model fit, and was observed as the stationarity before and after modeling through the autocorrelation function and the partial autocorrelation function. The criterion for validation of the model was the MAPE (Mean Absolute Percentage Error). Several models were tested and found for the best model-the ARIMA (3, 1, 2) with MAPE of 4.68%.
Seg Technical Program Expanded Abstracts, 2006
Deepwater field development requires drilling of deviated or horizontal wells. Most formations encountered can be highly anisotropic and P-and S-wave velocities vary with propagation directions. Sonic logs acquired in these wells need to be corrected before they can be applied in formation evaluation and seismic applications. In this study, we make use of a laboratory model made of an approximate transversely isotropic Phenolite to study acoustic logging in deviated wells. We drill holes at various deviations relative to the symmetry axis in the Phenolite block. Then we perform monopole and dipole sonic measurements in these holes and extract the qP, qSV, SH, and Stoneley wave velocities using the slowness-time domain semblance method. The velocities measured using monopole and dipole loggings vary with borehole deviations. We also measure the qP, qSV, and SH wave velocities using body waves at the same angles as the well deviations. We then compute the theoretical qP, qSV, SH, and Stoneley wave velocities based on an equivalent transverse isotropic model of the Phenolite. We find the qP, qSV , and SH wave velocities obtained using the body wave measurement and acoustic logging method agree with the theoretical predictions. The Stoneley wave velocities predicted by the theory also agree reasonably well with the logging measurements.
المجلة العربية للارشيف والتوثيق والمكتبات , 2020
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