Shear Wave Velocity Estimation in slow siliciclastic formations using empirical models

Abstract

In this contribution, we propose an alternative way to calibrate and estimate S-wave velocities using a regression analysis methodology. Prediction of S-wave velocities is critical in locations where sonic logs only have P-wave velocities available or for some reason only in discrete intervals, generally in slow formations. The proposed method applies two robust quadratic models for estimating S-wave velocities, assuming V p , clay volume and, fractional effective porosity as parameters affecting V s . Considering S-wave velocities varying according to quadratic models, the estimation process confirms previous results showing V p as the most important dependence parameter in the regressions. The preliminary results corroborate the idea that the use of the proposed quadratic model by regression analysis can represent a suitable procedure for predicting shear wave velocities in slow siliciclastic rocks.

Enhancing Shear Velocity Log Prediction in Ahnet Field, Algeria, Through Well Logs and Machine Learning Techniques

“…In the realm of subsurface exploration, empirical relations have proven to be valuable tools for predicting shear velocity logs from other well log data (Fabricio et al, 2015).These relations leverage the interdependencies between various geophysical parameters to estimate shear velocity, a critical parameter for characterizing rock properties and assessing subsurface formations. By analyzing the correlations between sonic, density, and porosity logs, among others, engineers and geoscientists can establish empirical models that offer reasonably accurate predictions of shear velocity (Sohail & Hawkes, 2020).…”

“…Furthermore, they are very lacking when it comes to generalization, where several relations need to be developed to account for the various (Jiang et al, 2022). While these relations may have inherent limitations and varying applicability across geological settings, they serve as efficient shortcuts in the absence of direct shear velocity measurements, aiding in the interpretation and understanding of subsurface structures and rock properties during exploration and development endeavors (Fabricio et al, 2015).…”