Evaluation carrying capacity of the upstream oil and gas industry in Indonesia using the artificial neural network method
Widhilaga Gia Perdana (a*), Isti Surdjandari (b), Setyo Sarwanto (b), Asri Nugrahanti (c)
a) Environmental science, University of Indonesia, Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424
*widhilaga.gia[at]ui.ac.id
b) Faculty of Engineering, University of Indonesia, Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424
c) Faculty of earth and energy technology, Trisakti university, Univ. Trisakti Kampus A, Gedung D Lantai 5, Jalan Kyai Tapa, Grogol, RT.6/RW.16, Tomang, Grogol petamburan, Kota Jakarta Barat, Daerah Khusus Ibukota Jakarta 11440
Abstract
The population growth rate and economic growth that increase every year results in increased energy needs that are used to support human activities in daily life. Energy consumption in Indonesia comes from petroleum, coal, natural gas, renewable energy (EBT), and hydropower. Petroleum has the largest portion of energy consumption in Indonesia where upstream oil and gas activities, namely exploration and exploitation carried out to meet energy needs, have not been able to meet domestic energy needs. On the other hand, the decline in the economic level of the upstream oil and gas industry due to changes in world crude oil prices has resulted in reduced investment in this industry. By looking at the condition of non-renewable petroleum natural resources, the tendency for oil and gas needs to continue to increase, while the availability and oil and gas reserves are always decreasing, this has an impact on the upstream oil and gas industry in Indonesia. Looking at it from the standpoint of Sustainability Theory, where meeting current needs without sacrificing the needs of future generations can be applied to the upstream oil and gas industry. Using the Artificial Neural Network method to create a model that can see the behavior of the carrying capacity of oil and gas exploration and exploitation activities in Indonesia which consists of petroleum reserves, the rate of petroleum production, and investments that can be used as a policy-making instrument to support sustainable development goals in the upstream oil and gas industry in Indonesia.
Keywords: Oil and gas, Upstream industry, Carrying capacity, Artificial neural network
Topic: Petroleum and Geothermal Engineering