Fitting a hyperbolic curve to a set of data using Qi, Di, and b
20 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Hi,
First, I do not have the optimizaiton toolbox, the only toolbox I have is that stats box.
I have a vector with 1000 numbers in it which are on a general decline. The actual position of the number in the vector is a date and all the dates are evenly spaced. For example with vector [10 9 7 5 3], 10 is oil production in month 1, 9 is oil production in month 2, 7 is oil production in month 3... The three variables I need to adjust are qi (initial oil production and it will be >= the qi in the data), b (ranging from .001 to 1.5) and Di (nominal decline which can range from 1 to 200%). I know I could do this using a tripple for loop and vary Qi, b, and Di and use whatever combination yields the smallest r-squared total but I'm sure that's not the best way of doing it. Any help is appreciated.
Thanks, -Andrew
0 commentaires
Réponses (1)
Alan Weiss
le 4 Mar 2014
You might want to try fitnlm to fit a nonlinear model. You could also try the base MATLAB method of curve fittting via optimization. I am not sure if either of these allow you to include bounds on your variables, but at least it is a place to start.
Alan Weiss
MATLAB mathematical toolbox documentation
1 commentaire
SUBHRAJYOTI SUBHRAJYOTI
le 8 Août 2020
How to determine Estimate Ultimate Recovery(EUR) for a given set of oil wells data ???
Voir également
Catégories
En savoir plus sur Get Started with Curve Fitting Toolbox dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!