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has been cited by the following article:

• TITLE: Predictive Modeling of Gas Production, Utilization and Flaring in Nigeria using TSRM and TSNN: A Comparative Approach

  AUTHORS: Olugbenga Falode, Christopher Udomboso

  KEYWORDS: Natural Gas, Production, Utilization, Flaring, TSRM, TSNN, Model Selection

  JOURNAL NAME: Open Journal of Statistics, Vol.6 No.1, February 29, 2016

  ABSTRACT: 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 (TSRM) and Time Series Neural Network (TSNN) 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 TSNN has better predictive and forecasting capabilities compared to TSRN. It is also observed that the higher the hidden neurons, the lower the error generated by the TSNN.