Development of Universal Decline Curve Analysis Technique for Forecasting the Performance of Oil Wells
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2016 by IJETT Journal|
|Year of Publication : 2016|
|Authors : Adeloye, Olalekan Michael, Mabamije Stephen, Abu, Robin Nyemenim
|DOI : 10.14445/22315381/IJETT-V31P245|
Adeloye, Olalekan Michael, Mabamije Stephen, Abu, Robin Nyemenim"Development of Universal Decline Curve Analysis Technique for Forecasting the Performance of Oil Wells", International Journal of Engineering Trends and Technology (IJETT), V31(5),251-259 January 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Linear and Nonlinear regression analysis were carried out on Arps decline curve by using analytical Natural Cubic Spline Interpolation and Levenberg-Marquardt algorithm respectively. The linearised model was used to initialize the nonlinear model and this shows improvement in the result of nonlinear model by Levenberg-Marquardt algorithm.The results of these analyses were used for history-matching existing oil well production data from Niger Delta Field, Nigeria. The nonlinear regression by Levenberg-Maquardt algorithm shows high degree of accuracy in history matching the oil field production data and also for future production forecast.
. Makinde, F.A., Orodu, O.D., Ladipo, A. O. and Anawe, P.A.L. (2012): Cumulative Production Forecast of an oil well using Simplified Hyperbolic-Exponential Decline models, Global Journal of Researches in Engineering, 2(12)
. Ahmed, T. (2006): Reservoir Engineering Handbook. 2nd edition. Gulf Publishing Company, Texas. 850 – 853.
. Khulud, M.R, Mohammed, H., Hissein, N. and Giuma,S. (2013): Prediction of Reservoir Performance Applying Decline Curve Analysis, International Journal of Chemical Engineering and Application, 4(2),74.
. Manolis, I.A.L. (2005) A Brief Description of the Levenberg- Marquardt Algorithm implemented by Lemver, Technical Report, Institute of Computer Science, Foundation for Research and Technology, Hellas.
. Henri, P.G. (2015): The Levenberg-Marquardt Method for Nonlinear Least Squares Curve Fitting Problems, Department of Civil and Environmental Engineering, Duke University.
. Madsen, K., Nielsen, H.B. and Tingleff, O. (2004): Methods for Nonlinear Square Problems, Technical Report, Informatics and Mathematical Modeling, Technical University of Denmark, Lecture Note, Available at http://www.imm.dtu.dk/courses/02611/n11sq.pdf
. Kewen, L and Roland, N.H. (2003): A Decline Curve Analysis Model based on Fluid Flow Mechanism, 83470-MS, SPE. A Paper Presented at the SPE Western Regional/AAPG Pacific Section Joint Meeting held at Long Beach, California, USA.
. Marks, K.T and James, P.S. (2012) Improvements to the Levenberg-Marquardt Algorithm for Nonlinear Least Squares Minimization, Preprint Submitted to Journal of Computational Physics.
. Chithra, C. N. C., Ki-Young, S., Deoki, N.S. and Madan, M.G. (2013): Production Forecasting of Petroleum ReservoirAapplying Higher-Order Neural Networks with limited Reservoir Data, International Journal of Computer Application,0975-8887,72(2).
Linear and Non-linear Regression, Levenberg-Marquardt algorithm, History Matching.