Estimating the Initial Pressure, Permeability and Skin Factor of Oil Reservoirs Using Artificial Neural Networks

Artificial neural network, a biologically inspired computing method which has an ability to learn, self-adjust, and be trained, provides a powerful tool in solving pattern recognition problems. In this study, a new approach based on artificial neural networks (ANNs) has been designed to estimate the initial pressure, permeability and skin factor of oil reservoir using the pressure build up test data. Five sets of actual field data in conventional and dual porosity reservoirs have been used to test the results of the neural network. The results from the network are in good agreement with the results from Horner plot. Finally, it is shown that the application of artificial neural networks in a pressure build up test reduces the cost of the test and it is also a valuable tool for well testing.

Estimating the Initial Pressure, Permeability and Skin Factor of Oil Reservoirs Using Artificial Neural Networks Keywords:

Artificial neural networks , Initial pressure , Permeability , Skin factor , Pressure build up test , Well test