A Study of Modern Decline Curve Analysis Models Based on Flow Regime Identification


Wahba, A. M., Corresponding author, Khattab, H. M., Tantawy, M. A., Gawish, A. A.
Petroleum Engineering Department, Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt.


Unconventional reservoirs, including tight and shale reservoirs, have become a significant source of petroleum supply in the world. Exploitation of these reservoirs is a challenge due to their very low permeability. Advanced technologies such as multi-stage hydraulic fracturing or pad drilling are necessary to enhance their productivity. Production behavior of unconventional reservoirs is characterized by long-term transient flow followed by boundary-dominated flow. Various production data analysis methods have been developed to analyze this production behavior; straight-line analysis methods are used to identify the flow- regime type while decline curve analysis methods are used to predict the future production behavior. This paper summarized flow-regime types which appear during well production in unconventional reservoirs and reviewed different decline curve analysis methods used to simulate this production behavior. A comparative study was conducting between the most used decline curve analysis models; Arps model, power-law exponential model, T-model and Duong model to determine when to use each model. A software application was written in python language to facilitate conducting this study. This software application is a powerful tool and provides reliable results.