Analysis of oilfield development with the use of the data mining methods

Abstract

In the conditions of the long-term field development, in order to increase the productivity of wells, different geological and technical actions applied (не уверен) for production stimulation. One of such methods are perforation works (perforation of previously unperforated intervals and reperforation). Feature of this method is its low cost. Forecasting of effect can be made by a small number of initial parameters. Often gained effect from an action does not correspond to expected, therefore there is need of forecasting the results with higher accuracy.
In the provided work as subject of research the object BV₈ of the Povkhovsky field was selected(?). This object was chosen in connection with sufficient volume of actual reperforating operations: 1376 actions.
The purpose of the work is to find of dependences between influencing parameters and efficiency of actions for creation of mathematical models using standard package "Analysis of Data" of MS Excel and with the use of the Data mining methods (regression of neural network, linear regression) allowing to find candidate wells under considered type of works. The approach used in the work can be extended to other operation facilities and fields, and to other types of geological and technical actions.