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ABSTRAKMinyak mentah yang memiliki kandungan wax tinggi dapat menyebabkan
timbulnya permasalahan selama proses transportasi berlangsung. Jika titik awal
pembentukan deposisi dapat diprediksi dengan baik dan laju pengendapan dapat
dihitung secara akurat maka strategi penanganannya akan tepat sasaran.
Dalam penelitian ini, pembentukan deposisi wax diprediksi dengan menggunakan
simulasi OLGA. Uji laboratorium atas sampel dari sumur Bravo dilakukan
terlebih dahulu untuk mengetahui komposisi fluida, nilai WAT, jumlah fraksi wax
dan viskositas. Karakterisasi dan tuning dilakukan dengan bantuan perangkat
lunak PVTsim menggunakan hasil pengujian laboratorium. Hasil karakterisasi ini
selanjutnya digunakan sebagai input bagi OLGA untuk memprediksi titik awal
deposisi serta menghitung laju pengendapannya. Simulasi dilakukan pada laju
alir 80000 bpd pada beberapa periode waktu. Kemudian dilakukan juga beberapa
variasi laju alir untuk melihat pengaruhnya terhadap titik awal deposisi wax serta
tingkat ketebalannya.
Untuk kasus lapangan Charlie-Bravo dengan laju alir 80000 bpd, titik awal
deposisi wax terbentuk pada jarak 4 km pada temperatur 31,1 oC. Laju
pengendapan akan terus meningkat seiring berjalannya waktu dan akan mencapai
ketebalan 1 mm pada jarak 6,87 km setelah 82 hari. Rekomendasi untuk
melakukan pigging dikeluarkan apabila ketebalan wax pada dinding pipa
mencapai 1 mm agar peningkatan laju pengendapan dapat dikurangi.
ABSTRACTThe presence of wax in crude oil can lead to the formation of wax deposit on the
wall of pipelines. If we can predict the starting point for the formation of wax
deposition and calculate the rate accurately then the appropriate mitigation can be
well developed.
In this study, the wax deposition was predicted using OLGA simulation.
Laboratory test from Bravo wells to determine the fluid composition, WAT,
amount of wax fraction and viscosity shall be done first. This laboratory test result
was then characterized and tuned using the PVTsim. The result was used as an
input for OLGA to calculate the rate of wax deposition in pipelines. Simulation
was conducted at a flow rate of 80000 bpd with the time of 1-60 days. The same
thing was also done at several flow rates to see the effect of wax formation and its
level of thickness.
In the case of Charlie-Bravo field that produce 80000 bpd of liquid, wax began to
precipitate at a distance of 4 km and temperature 31.1 oC. The deposition rate will
continue to increase over the time and will get a thickness of 1 mm at the distance
of 6.87 km after flowing for about 82 days Pigging is recommended if the wax
thickness in the pipe achieves 1 mm. This is as a preventive maintenance to
reduce an escalation of rate deposition.;The presence of wax in crude oil can lead to the formation of wax deposit on the
wall of pipelines. If we can predict the starting point for the formation of wax
deposition and calculate the rate accurately then the appropriate mitigation can be
well developed.
In this study, the wax deposition was predicted using OLGA simulation.
Laboratory test from Bravo wells to determine the fluid composition, WAT,
amount of wax fraction and viscosity shall be done first. This laboratory test result
was then characterized and tuned using the PVTsim. The result was used as an
input for OLGA to calculate the rate of wax deposition in pipelines. Simulation
was conducted at a flow rate of 80000 bpd with the time of 1-60 days. The same
thing was also done at several flow rates to see the effect of wax formation and its
level of thickness.
In the case of Charlie-Bravo field that produce 80000 bpd of liquid, wax began to
precipitate at a distance of 4 km and temperature 31.1 oC. The deposition rate will
continue to increase over the time and will get a thickness of 1 mm at the distance
of 6.87 km after flowing for about 82 days Pigging is recommended if the wax
thickness in the pipe achieves 1 mm. This is as a preventive maintenance to
reduce an escalation of rate deposition., The presence of wax in crude oil can lead to the formation of wax deposit on the
wall of pipelines. If we can predict the starting point for the formation of wax
deposition and calculate the rate accurately then the appropriate mitigation can be
well developed.
In this study, the wax deposition was predicted using OLGA simulation.
Laboratory test from Bravo wells to determine the fluid composition, WAT,
amount of wax fraction and viscosity shall be done first. This laboratory test result
was then characterized and tuned using the PVTsim. The result was used as an
input for OLGA to calculate the rate of wax deposition in pipelines. Simulation
was conducted at a flow rate of 80000 bpd with the time of 1-60 days. The same
thing was also done at several flow rates to see the effect of wax formation and its
level of thickness.
In the case of Charlie-Bravo field that produce 80000 bpd of liquid, wax began to
precipitate at a distance of 4 km and temperature 31.1 oC. The deposition rate will
continue to increase over the time and will get a thickness of 1 mm at the distance
of 6.87 km after flowing for about 82 days Pigging is recommended if the wax
thickness in the pipe achieves 1 mm. This is as a preventive maintenance to
reduce an escalation of rate deposition.]