Beam Pump Dynamometer Card Prediction using Artificial Neural Networks

Using artificial neural networks for pattern recognition of downhole dynamometer card in oil rod pump system

The present paper shows that by using Artificial Neural Network system one can establishes pattern classes and sets standards for training and validation in Dynamometer Card in oil well rod pump systems. Also, the design and the implementation of a features extractor are then possible by the study of descriptors.

Pattern Recognition for Downhole Dynamometer Card in Oil Rod Pump System using Artificial Neural Networks

This paper presents the development of an Artificial Neural Network system for Dynamometer Card pattern recognition in oil well rod pump systems. It covers the establishment of pattern classes and a set of standards for training and validation, the study of descriptors which allow the design and the implementation of features extractor, training, analysis and finally the validation and performa...

Prediction of Gas Lift Parameters Using Artificial Neural Networks

Prediction the Return Fluctuations with Artificial Neural Networks' Approach

Time changes of return, inefficiency studies performed and presence of effective factors on share return rate are caused development modern and intelligent methods in estimation and evaluation of share return in stock companies. Aim of this research is prediction of return using financial variables with artificial neural network approach. Therefore, the statistical population of this study incl...

Rainfall Prediction Using Artificial Neural Networks

The spatial interpolation comparison 97 is concerned with predicting the daily rainfall at 367 locations based on the daily rainfall at nearby 100 locations in Switzerland. We propose a divide -and-conquer approach where the whole region is divided into four sub-areas and each is modeled with a different method. Predictions in two larger areas were made by RBF networks based on the locational i...