Development of an expert system for underbalanced drilling using fuzzy logic

This paper documents the development of an expert system for screening wells that could be drilled underbalanced, and for aiding in the preliminary selection of appropriate underbalanced drilling fluids for a given range of wellbore and reservoir conditions. This approach combines a qualitative rule-based analysis for assessing formation damage and lost circulation potentials with quantitative analysis for assessing wellbore stability using geomechanical and petrophysical data. To make the analysis complete, a variety of other factors such as pipe sticking potential, wellbore geometry, type of fluid influx anticipated, pore pressure value, and cost benefit are also included in the expert-system decision trees. The main advantage of the expert system, developed in this study, is the use of fuzzy logic for handling cases that lend themselves to partial truth. This feature makes the system a powerful tool for analyzing ambiguous drilling scenarios. s of compared field cases are encouraging and conformal to field practices. Allowing for human input, when essential data are lacking, makes the system a useful tool that can help less experienced individuals function near the level of proficient drilling engineers.