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Prediction of Shear Wave Velocity Using Artificial Neural Network Technique, Multiple Regression and Petrophysical Data: A Case Study in Asmari Reservoir (SW Iran
Shear wave velocity has numerous applications in geomechanical, petrophysical and geophysical
studies of hydrocarbon reserves. However, data related to shear wave velocity isn’t available for
all wells, especially old wells...
Determine Stability Wellbore Utilizing by Artificial Intelligence Systems andEstimation of Elastic Coefficients of Reservoir Rock
appropriate combination of data. The same information that were intended for multiple
regression were used as input in neural networks, and shear wave velocity was obtained using
(Vp) and well logging data in carbonate rocks. The results showed...
Empirical relationships of shear wave velocity, SPT-N value and vertical effective stress for different soils in Mashhad, Iran
Shear wave velocity, V_s, is one of the important input parameters in seismic response analysis of the ground. Various methods have been attempted to measure the soil V_s directly. Direct measurement of V_s is time consuming and costly, therefore...
Shear wave prediction using committee fuzzy model constrained by lithofacies, Zagros basin, SW Iran
The main purpose of this study is to introduce the geological controlling factors in improving an intelligence-based model to estimate shear wave velocity from seismic attributes. The proposed method includes three main steps in the framework...
Predicting Shear Wave Velocity of Soil Using Multiple Linear Regression Analysis and Artificial Neural Networks
In this paper, the correlation between shear wave velocity and some of the index parameters of soils including standard penetration test blow counts (SPT), fine-content (FC), soil moisture (W), liquid limit (LL) and depth (D) is investigated...
Prediction of Shear Wave Velocity Profile Using GMDH Type Neural Networks and Genetic Algorithm
hear wave velocity (VS) is one of the essential parameters for site characterization studies. This study aims to generate reliable equations for estimating VS of top 30 m of soil profile (VS30) in absence of site-specific ...