Prediction of Rate of Penetration for wells at Nam Con Son basin using Artificial Neural Networks models

The Prediction of Surface Tension of Ternary Mixtures at Different Temperatures Using Artificial Neural Networks

In this work, artificial neural network (ANN) has been employed to propose a practical model for predicting the surface tension of multi-component mixtures. In order to develop a reliable model based on the ANN, a comprehensive experimental data set including 15 ternary liquid mixtures at different temperatures was employed. These systems consist of 777 data points generally containing hydrocar...

Prediction of Gas Lift Parameters Using Artificial Neural Networks

The prediction of penetration rate for percussive drills from indirect tests using artificial neural networks

pits, quarries, and on construction sites. The prediction of the penetration rate of drilling machines is very important for cost estimation and planning of rock excavation projects. Many researchers have investigated percussive drilling theoretically or experimentally and correlated the penetration rate with various rock properties. Protodyakonov (1962) developed drop tests and described the c...

Rate of Penetration Prediction and Optimization using Advances in Artificial Neural Networks, a Comparative Study

An important aspect of oil industry is rate of penetration (ROP) prediction. Many studies have been implemented to predict it. Mainly, multiple regression and artificial neural network models were used. In this paper, the objective is to compare the traditional multiple regression with two artificial intelligence techniques; extreme learning machines (ELM) and radial basis function networks (RB...

Comparison of Artificial Neural Networks and Cox Regression Models in Prediction of Kidney Transplant Survival

Cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. In recent decades, artificial neural network model has been increasingly applied to predict survival data. This research was conducted to compare Cox regression and artificial neural network models in prediction of kidney transplant survival. The prese...