Search for collections on Repository Universitas Islam Riau

Aplikasi Metode Double Exponential Smoothing Untuk Memperkirakan Cadangan Minyak Sisa Di Lapangan M.

Firman, M.ihqal Zulaidi (2025) Aplikasi Metode Double Exponential Smoothing Untuk Memperkirakan Cadangan Minyak Sisa Di Lapangan M. Other thesis, Universitas Islam Riau.

[thumbnail of 183210383.pdf] Text
183210383.pdf - Submitted Version
Restricted to Registered users only

Download (1MB) | Request a copy

Abstract

This study focuses on forecasting oil production using the Double Exponential Smoothing (DES) method and the Decline Curve Analysis (DCA) method, with the objective of estimating the Remaining Reserves (RR) and the Estimated Ultimate Recovery (EUR) of the "Z" field. The comparison between DES and DCA methods highlights significant differences, with DES being more responsive to short-term trends and DCA providing stable projections for long-term production. Results showed that DES predicted EUR of 66,703.05 MSTB and RR of 26,444.25 MSTB by October 2026, while DCA estimated EUR of 101.734024 MSTB and RR of 100.75527 MSTB until January 2043. The OFM method, which was also used for analysis, yielded EUR of 101.56 MSTB and RR of 101.53 MSTB until December 2042. This comparison indicates the suitability of each method depending on the analysis period and data trends. Future research should explore combining both methods for more accurate projections and consider implementing optimization techniques for better resource management in oil fields.

Item Type: Thesis (Other)
Contributors:
Contribution
Contributors
NIDN/NIDK
Sponsor
Herawati, Ira
1012077902
Uncontrolled Keywords: Double Exponential Smoothing (DES), Decline Curve Analysis (DCA), Estimated Ultimate Recovery (EUR), Remaining Reserves (RR).
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: > Teknik Perminyakan
Depositing User: Putri Aulia Ferti
Date Deposited: 09 Sep 2025 03:34
Last Modified: 09 Sep 2025 03:34
URI: https://repository.uir.ac.id/id/eprint/28310

Actions (login required)

View Item View Item