Decline Curve Analysis of Continuous Injection Gas Lifted Wells
- Authors
-
-
Ayodele DANIEL
Author
-
Mercy O. AKEJU
Author
-
Sunday O. ISEHUNWA
Author
-
Abel A. ADEYI
Author
-
Adebayo T. OGUNYEMI
Author
-
- Keywords:
- Decline curve analysis, Developed reserves, Production rate, Gas lift, Arps’ exponential model.
- Abstract
-
Decline Curve Analysis is one of the established techniques for reservoir performance evaluation and estimation of developed reserves. While it has been well utilized for natural drive production, there have been challenges in accurate evaluation of gas lifted wells because of additional energy that supplements the natural which changes future production rate of the reservoir and distorts the reservoir’s production decline trend. For continuous gas lifted wells, several attempts have been made to model production rates, but none have been found to be simple or accurate. In this article the principle of superposition has been applied such that the production rate of a well at a time, t after gas-lift has been introduced would be the sum of the flow rate due to the natural flow and gas-lift induced flow rate. Four actual well production data sets obtained from the SPE Data Repository and from reservoirs in literature from Niger Delta were used to assess the model. The analysis done included cases with and without gas lift and statistical analysis was done to evaluate the error margin. The equation derived is a mathematical model in which the traditional Arps’ exponential model accounts for the natural flow and a power law model accounts for the gas-lift induced flow expressed as:
q_t=q_inf 〖[e〗^(-Dt)+βt^(-λD)]
The model proposed showed that 0.48MMstb, 0.31MMstb, 8.75MMstb, and 1.23MMstb respectively would be produced when gas-lift is introduced as opposed to 0.26MMstb, 0.16MMstb, 7.96MMstb, and 1.10MMstb without gas-lift respectively, from well 1 to 4. The model also predicted future rates that were similar to the actual field data with correlation coefficient of 0.884, 0.806, 0.917, and 0.874 respectively. This statistical result indicates the effectiveness of the model in predicting the production decline rate of gas-lifted wells.
- References
- Downloads
- Published
- 29-08-2026
- Section
- Articles
- License
-
Copyright (c) 2026 Ayodele DANIEL, Mercy O. AKEJU, Sunday O. ISEHUNWA, Abel A. ADEYI, Adebayo T. OGUNYEMI (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Similar Articles
- Mordecai C. EZEALOR, Bosede A. ORHEVBA, Ruth O. OYEBAMIJI, Quality Evaluation of Yogurt Produced from Chili Pepper-Derived Starter Culture , FUDMA Journal of Engineering and Technology: Vol. 2 No. 2 (2026): December 2026
- Abdullahi YAHAYA, Ahmad ADO, Jaju A. MUHAMMAD, Zaharaddeen G. SANI, Baba A. OLUWA, Abdulazeez A. YUSUF, Kinetic Modelling of Sonocatalytic Phenol Degradation over Alumina-Supported Copper Oxide Catalyst , FUDMA Journal of Engineering and Technology: Vol. 2 No. 2 (2026): December 2026
- Zakariah A. ADEJOH, Hawawu SALAMI, Abdullahi M. EVUTI, Yahaya S. MOHAMMAD, Yakubu STEPHEN, Effect of Activation Time on Physicochemical Properties of Activated Carbon Prepared from Coconut Shell , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Folakemi B. OYEYEMI, Usman A. ABDURRAHMAN, Detecting and Mitigating Cybersecurity Threats in Nigerian Commercial Banks Using Machine Learning: A Case Study of Selected Institutions , FUDMA Journal of Engineering and Technology: Vol. 2 No. 2 (2026): December 2026
- Mohammed K. BASHIR, Sanusi A. DARMA, Usman MAHMUD, Mansir ABUBAKAR, Enhanced Breast Cancer Classification Using Ensemble Learning and Data Resampling Techniques: A Machine Learning Approach , FUDMA Journal of Engineering and Technology: Vol. 2 No. 2 (2026): December 2026
- Titilope A. BANJOKO, Bilkisu L. MUHAMMAD-BELLO, Predicting Requirement Change Using Bayesian Networks on Historical Traceability Data , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
- Cyril OCHERI, Victor S. AIGBODION, Esther O. AMEH, Ihebuchuwu C. EZEAKU, Chibuikem A. OKAFOR, Uchenna C. AMAZUE, Eddy R. OMONIGHO, Electrochemical Analysis of Azadirachta indica Leaves as a Corrosion inhibitor on Mild Steel in 1 M H2SO4 , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Muhammad M. HAMIDU, Development of MATLAB-Based Model for Solar Radiation Prediction and Photovoltaic Panel Tilt Optimization Angle for Maiduguri Region, Nigeria , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Salisu MOHAMMED, Abdulfatai JIMOH, Abdullahi M. EVUTI, Abdulwahab GIWA, Abubakar A. IBRAHIM, Pretreatment and Characterization of Selected Precursors for Chitin/Chitosan Production , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Kazeem A. BELLO, Adeniyi O. ADESINA, Lukman A. OPEYEMI, Solomon O. UVIASE, Francis O. BOROKINNI, Friday ONUH, Tunde O. OGUNDANA, Adebayo I. OLUMOROTI, Developments and Applications of Additive Manufacturing in the Automotive Industry , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Enoch ADETONA, Oladiran K. ABUBAKRE, Rasheed A. MURIANA, Muhammad N. BALA, Abel A. ADEYI, Evaluation of Animal Dungs as Alternative Heat-Treating Materials in Foundry Shop , FUDMA Journal of Engineering and Technology: Vol. 2 No. 2 (2026): December 2026
