Application of Fuzzy Logic for Pseudo Skin Estimation for Horizontal wells within Various Drainage Areas

Abstract

Horizontal wells are becoming widely used for primary and enhanced oil recovery operations compared to vertical wells as a result of their higher productivity due to large wellbore section exposed to the reservoir which is necessary for both fluids production and injection operations. In this work a new application related with using of fuzzy logic in the field of petroleum engineering was introduced to develop pseudo skin shape related factor to calculate and estimate the productivity of pseudo steady state horizontal wells. We can use fuzzy logic in order to determine the pattern and relationship between data set where this pattern may not be clearly known or there is no mathematical relationship among them. Prediction of introduced model has been tested against known model (Bahadori 2012 model) that developed a simple model of pseudo skin factor for horizontal well located within rectangular and square drainage areas [1]. After training the model by using 2000 data set, it was successfully to estimate the pseudo skin shape related factor by testing the model by using 1000 data set. Results indicate that the introduced model has an excellent agreement with values that have been obtained by using Bahadori 2012 model with average absolute deviation being less than 2.05%. Sensitivity study was used by investigate different cluster values ranging from (0.3 – 0.7) to determine which is yield the lowest average calculation error. Furthermore, trend analysis showed that there is excellent agreement between this model and Bahadori 2012 model in the general trend.