چکیده مقاله
Dual porosity system refers to those porous media composed of two different structures i e fracture and matrix These porous media is characterized by two special parametersnamely interporosity flow coefficient λ , and storativity ratio ω Determination of these parameters is required for understanding of current and future performance of naturallyfractured reservoirs Pressure transient signals well testing is a reliable tool for determination of parameters of dual porosity reservoirs Indeed, it’s possible to estimate these parameters from pressure derivative PD graphs using an appropriate intelligent technique In this study adaptive neuro fuzzy inference systems ANFIS is used for estimation of λ and ω from PD graphs Required pressure transient signals for dual porosity reservoirs have been generated using commercial PanSystem software, and then converted to the PD graphs Theobtained PD graphs were entered to the ANFIS model by 26 successive points It should be noted that an appropriate optimization algorithm and number of cluster are determinedby a trial and error procedure Using this procedure, the ANFIS model with 9 and 10 clusters are found as the best model for prediction of storativity ratio and interporosity flow coefficient, respectively Moreover, the hybrid optimization algorithm shows better performance during training of these ANFIS models The proposed ANFIS models determined ω and λ of 312 PD signals with the average absolute relative deviation AARD% of 14 69 and 36 28, respectively
کلیدواژهها
نویسندگان
Mehrafarin Moghimihanjani
Chemical & Petroleum Engineering Department Sharif University of Technology Tehran, Iran
Farhad Iraji
Chemical & Petroleum Engineering Department Sharif University of Technology Tehran, Iran
شیوه ارجاع
Moghimihanjani, Mehrafarin and Iraji, Farhad,1399,Estimation of parameters of dual porosity reservoirs from well testing signals using adaptive neuro-fuzzy inference systems (ANFIS),6th International Conference on Innovation and Research in Engineering Sciences
ارائهشده در
مجموعه مقالات ششمین کنفرانس بین المللی نوآوری و تحقیق در علوم مهندسی10 تیر 1399