Model development for shear sonic velocity using geophysical log data: Sensitivity analysis and statistical assessment

Reservoir geomechanical parameters play a vital role in evaluating sanding potential, wellbore stability, and drilling performance for making decisions on development strategies of oil and gas fields. Compared to expensive experimental/laboratory investigations, the petrophysical log data-driven shear sonic velocity models are proven to be cost effective and quick to estimate geomechanical formation properties. The objective of this study is to introduce a new deterministic model using the most contributing predictor variables and to rank the variables according to their relative importance while predicting dynamic shear sonic wave velocity for clastic sedimentary rocks. The least-squares support vector machine with a global optimization technique is used to construct a data-driven model for shear sonic velocity estimation. A new regressive correlation is also…