Forecasting and Modelling the Oil and Gas Reserves in Indonesia Using the Creaming Curve and Linear Regression Analysis

A. Azizurrofi, Rikky Rahmat Firdaus
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引用次数: 1

Abstract

In early 2016, oil price has fallen to its lowest level (30.32 US$/bbl) over the last 12 years. Since then, petroleum exploration and exploitation activities are decreasing worldwide due to high production cost and low oil prices. As of December 2017, there were 435 projects approved by the government of Indonesia, which is expected to maintain the national energy supply and to increase national income from oil and gas industry. This paper will evaluate and analyze the oil and gas reserves per project to help Contractors to find the area in Indonesia that has the highest trend of oil and gas reserves per project so that they can produce big revenue. The purpose of this paper is, to divide the geographical areas of Indonesia into 5 different areas (Sumatera, Java, Kalimantan, Sulawesi and Papua). Then, to collect the data that related to projects and oil and gas discoveries and the trend of oil and gas discoveries per project are calculated and analyzed by using the creaming curve method, the result will be distributed to those aforementioned areas and finally define the area that has the highest and the lowest number (trend) of oil and gas discoveries per project. Based on the analysis of 435 Projects in Indonesia, Sulawesi is estimated to have the highest amount of oil and gas reserves by 111.24 MMBOE per project which means that these areas become the most interesting area for Contractors to produce profitable projects, meanwhile Sumatera is estimated to have the lowest amount of oil and gas reserves by 7.19 MMBOE per project which means that these areas are becoming the most mature area in Indonesia. Finally, this paper is expected to provide contractors a quick look at oil and gas industry in Indonesia especially the contractors who are looking for the giant oil and gas reserves and also help them create their petroleum exploration and exploitation strategy in Indonesia by considering on this information which will provide benefits for both government and contractor.
利用拟合曲线和线性回归分析对印尼油气储量进行预测和建模
2016年初,油价跌至12年来的最低水平(30.32美元/桶)。从那时起,由于高生产成本和低油价,世界范围内的石油勘探和开发活动正在减少。截至2017年12月,印尼政府批准了435个项目,预计将维持国家能源供应,并增加石油和天然气行业的国民收入。本文将对每个项目的油气储量进行评估和分析,以帮助承包商在印度尼西亚找到每个项目油气储量趋势最高的区域,从而产生较大的收益。本文的目的是,将印度尼西亚的地理区域划分为5个不同的区域(苏门答腊,爪哇,加里曼丹,苏拉威西和巴布亚)。然后,收集与项目和油气发现相关的数据,并利用膏化曲线法对每个项目的油气发现趋势进行计算和分析,将结果分配到上述区域,最终确定每个项目油气发现数量(趋势)最高和最低的区域。根据对印度尼西亚435个项目的分析,估计苏拉威西岛的油气储量最高,每个项目111.24百万桶油当量,这意味着这些地区成为承包商最有兴趣开发有利可图项目的地区,同时苏门答腊的油气储量最低,每个项目7.19百万桶油当量,这意味着这些地区正在成为印度尼西亚最成熟的地区。最后,本文旨在为承包商提供印度尼西亚石油和天然气行业的快速了解,特别是那些正在寻找巨大石油和天然气储量的承包商,并帮助他们通过考虑这些信息来制定他们在印度尼西亚的石油勘探和开发战略,这将为政府和承包商提供利益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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