A Study on Prediction of Output in Oilfield Using Multiple Linear Regression

Izni binti Mustafar, IM and Dr. Radzuan Razali, RR (2011) A Study on Prediction of Output in Oilfield Using Multiple Linear Regression. [Citation Index Journal]

[img] PDF - Published Version
Restricted to Registered users only



An oilfield is an area with reserves of recoverable petroleum, especially one with several oil-producing wells [1]. The challenge in this project is to find the variable for the output of oilfield because here are numerous factors affecting output in an oilfield. The relationship between field output and one of the affecting factors is unscientific and are not precise, which it is needed to come out with a simple and more accurate. 8 parameters have been identified to predict the oilfield of output. After several screening test using Multiple Linear Regression, 4 parameters have been identified as a most significant parameter. The ordinary least squares method also used to minimize the sum of variables by eliminating the least important variables. And to validate the data, new set of different data used with only the most significant parameters. It validates the method as all the parameters obey the rules of P-value.

Item Type:Citation Index Journal
Subjects:Q Science > QA Mathematics > QA76 Computer software
Academic Subject Three:petroleum engineering
Departments / MOR / COE:Departments > Fundamental & Applied Sciences
ID Code:7126
Deposited By: Associate Prof. Dr. Radzuan Razali
Deposited On:12 Dec 2011 07:25
Last Modified:20 Mar 2017 01:59

Repository Staff Only: item control page

Document Downloads

More statistics for this item...