%0 Journal Article
%T Predictive Modeling of Gas Production, Utilization and Flaring in Nigeria using <i>TSRM</i> and <i>TSNN</i>: A Comparative Approach
%A Olugbenga Falode
%A Christopher Udomboso
%J Open Journal of Statistics
%P 194-207
%@ 2161-7198
%D 2016
%I Scientific Research Publishing
%R 10.4236/ojs.2016.61017
%X Since the discovery of oil and gas in
Nigeria in 1956, much gas has been flared because the operators pay little or
no concern to its utilization, and as such, trillions of dollars have been
lost. In this paper, a model is proposed using Time Series Regression Model
(<i>TSRM</i>) and Time Series Neural Network (<i>TSNN</i>) to model the production,
utilization and flaring of natural gas in Nigeria with the ultimate aim of
observing the trend of each activity. The results show that <i>TSNN</i> has better
predictive and forecasting capabilities compared to <i>TSRN</i>. It is also observed
that the higher the hidden neurons, the lower the error generated by the <i>TSNN</i>.
%K Natural Gas
%K Production
%K Utilization
%K Flaring
%K &lt
%K i&gt
%K TSRM&lt
%K /i&gt
%K &lt
%K i&gt
%K TSNN&lt
%K /i&gt
%K Model Selection
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=63994