Publication Details
Issue: Vol 3, No 1 (2025)
ISSN: 3047-4892

Abstract

Objective:  This study predicted natural gas production in Iraq for the period (1984–2022) using ARIMA (Auto Regressive Integrated Moving Average) time series models. Method: The research relied on historical data of gas production to build a model capable of forecasting future trends, while analysing seasonal fluctuations and patterns. Result: The results demonstrated the efficiency of the ARIMA model in estimating future production based on past data patterns. Novelty: This study contributes to optimal planning for the exploitation of natural resources in Iraq.

Keywords
Natural gas Iraq Forecasting ARIMA models Time series