MARAYASYFA, SHAFIYRANADA HASNA (2023) ASSISTED HISTORY MATCHING DENGAN PARTICLE SWARM OPTIMIZATION PADA LAPANGAN “SHM” MENGGUNAKAN T-NAVIGATOR. Other thesis, UPN "Veteran" Yogyajarta.
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Abstract
ABSTRACT
ASSISTED HISTORY MATCHING WITH PARTICLE SWARM
OPTIMIZATION IN THE “SHM” FIELD USING T-NAVIGATOR
By
Shafiyranada Hasna Marayasyfa
NIM: 113190114
(Petroleum Engineering Undergraduated Program)
"SHM" field is an oil field that has been developed since October 1957 to June
2017. The history matching process in the "SHM" Field simulation will be carried
out using assisted history matching. Assisted history matching is more efficient
and easier than manual history matching. Assisted history matching can help
control parameters and update parameters simultaneously. Assisted history
matching will be carried out using the Plackett Burman method (1946) and
particle swarm optimization (1995). The assisted history matching process
combines parameterization and realization in order to obtain a matching
cumulative field production.
The assisted history matching process begins with making control parameters
through a workflow, then making an experimental design with Plackett Burman
(1946), setting the objective function according to the permitted tolerance limits,
analyzing parameters and variant realization for optimization. The final stage is
to optimize the objective function using the parameters and realizations that have
been selected to obtain a feasible cumulative field production simulation model.
35 parameters will be sensitive for the experimental design with Plackett Burman.
The results of this experimental design provide information about parameter
values that produce smaller misfits. The 5 best variants were selected from the
experimental design and 33 parameters were selected which would proceed to the
optimization process. Optimization was carried out with particle swarm
optimization of 215 variants and obtained misfits that matched the tolerance
limits, as result cumulative misfit of oil production is 1%, misfit of cumulative
water production is 1.74%, misfit of cumulative liquid production is 1.16% and
gas misfit is 5.56% which this result is satisfying.
Keywords: Plackett Burman, Realization, Parameterization, Objective function,
Particle swarm optimization
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Plackett Burman, Realization, Parameterization, Objective function, Particle swarm optimization |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
| Depositing User: | Eko Yuli |
| Date Deposited: | 27 Jun 2023 02:07 |
| Last Modified: | 27 Jun 2023 02:07 |
| URI: | http://eprints.upnyk.ac.id/id/eprint/36210 |
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