Submersible pumpset failure prediction using artificial intelligence methods

Prediction Based Diagnosis Using Artificial Intelligence Methods

Real Time Failure Prediction in Electrical Submersible Pumps

As oil fields age, artificial lift systems are required to maintain production levels when reservoir pressures get too low. Failure of an ESP in a well can stop production or even lead to a dangerous event. ESPs are fitted with downhole monitoring units that transmit streams of data back to the surface including: motor temperature, pump intake pressure, intake temperature motor vibration, and m...

Bayesian Prediction for Artificial Intelligence

This paper shows that the common method used for making predictions under uncertainty in AI and science is in error. This method is to use currently available data to select the best model from a given class of models-this process is called abduction-and then to use this model to make predictions about future data. The correct method requires averaging over all the models to make a prediction-w...

Artificial Intelligence Methods for Ambient Intelligence

Ambient Intelligence (ISTAG (2001) Scenarios for Ambient Intelligence in 2010) is a vision that enables intelligent environments with pervasive technology. In this vision human users are at the cent re, but machine and human are seen as equal, collaborating, to improve both human being and machine performance. Ambient Intelligence offers many benefits. For example, by inst rumenting public and ...

Prediction of Long-Term Government Bond Yields Using Statistical and Artificial Intelligence Methods

This chapter investigates the use of different artificial intelligence and classical techniques for forecasting the monthly yield of the US 10-year Treasury bonds from a set of four economic indicators. The task is particularly challenging due to the sparseness of the data samples and the complex interactions amongst the variables. At the same time, it is of high significance because of the imp...