[
ABSTRAKTantangan terbesar bagi Pertamina dalam memutakhirkan bisnisnya dan masuk
dalam era globalisasi adalah meningkatkan margin kilang. Salah satu upaya untuk
meningkatkan margin kilang adalah mengoperasikan kilang dengan business
philosophy yaitu operations excellence “handal, efisien dan optimal”. Advanced
Process Control (APC) adalah teknologi yang dapat meningkatkan margin kilang
melalui efisiensi energi dan optimasi produk lebih berharga dengan cara stabilisasi
kontrol proses kemudian menggeser target operasi (set point) mendekati titik
operasi optimal. Metode statistika adalah salah satu metode yang dapat digunakan
untuk memperkirakan benefit implementasi APC. Dalam penelitian ini, metode
statistika digunakan untuk menganalisis dan mengidetifikasi historical data dari
beberapa process variable selama setahun untuk membangun suatu model
implementasi teknologi APC pada kilang minyak (refinery) khususnya Crude
Disttillation Unit (CDU). Model yang berhasil dibangun adalah model
deterministik berdasarkan analisis probabilistik dan teori yang mendasarinya yang
kemudian dikembangkan menjadi model stokastik untuk analisis resiko dan
ketidak pastian menggunakan simulasi monte carlo. Penelitian ini berhasil
membuktikan bahwa implementasi teknologi APC layak dilakukan dan dapat
meningkatkan margin kilang Pertamina RU VI Balongan.
ABSTRACTThe biggest challenge for Pertamina in updating its business and entered the
globalization era is increasing refinery margin. One effort to increase the refinery
margin is operating with a business philosophy so called operations excellence
"reliable, efficient and optimal". Advanced Process Control (APC) is a kind of
technology that can improve refinery margins through the energy efficiency and
valuable product optimization by way of process control stabilization then shifts
operation target (set point) approaching the optimal operating point. Statistical
method is one method that can be applied to estimate the benefits of APC
implementation. In this research, statistical methods used to analyze and identify
the historical data from several process variables during one year to build a
model of APC technology utilization at refineries in particular Crude Distillation
Unit (CDU). The model that has been successfully built is a deterministic model
based on probabilistic analysis and underlying theories which later developed
into a stochastic model for risk analysis and uncertainty using Monte Carlo
simulation. This research has successfully proving that implementation of APC
technology feasible to conduced and can improve refinery margin of Pertamina
RU VI Balongan., The biggest challenge for Pertamina in updating its business and entered the
globalization era is increasing refinery margin. One effort to increase the refinery
margin is operating with a business philosophy so called operations excellence
"reliable, efficient and optimal". Advanced Process Control (APC) is a kind of
technology that can improve refinery margins through the energy efficiency and
valuable product optimization by way of process control stabilization then shifts
operation target (set point) approaching the optimal operating point. Statistical
method is one method that can be applied to estimate the benefits of APC
implementation. In this research, statistical methods used to analyze and identify
the historical data from several process variables during one year to build a
model of APC technology utilization at refineries in particular Crude Distillation
Unit (CDU). The model that has been successfully built is a deterministic model
based on probabilistic analysis and underlying theories which later developed
into a stochastic model for risk analysis and uncertainty using Monte Carlo
simulation. This research has successfully proving that implementation of APC
technology feasible to conduced and can improve refinery margin of Pertamina
RU VI Balongan.]
T41477-Samuel Lepong Bulan Parura.pdf :: Unduh