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Rosie Andi Saputro
Abstrak :
[ABSTRAK
Reservoir modeling dan estamasi produksi dari proyek waterflooding di lapangan Lengo telah dilakukan. Reservoir modeling merupakan langkah pertama dimana di tahapan ini dihasilkan model reservoir geologi dari lapangan Lengo yang kemudian akan dilakukan pembagiaan kelas-kelas reservoirnya berdasarkan data porositas. Langkah kedua adalah aplikasi teori Buckley ? Leverett yang digunakan untuk mengestimasi nilai gain produksi dan waktu yang dibutuhkan dari breakthrough hingga sumur monitor memproduksi 100% air. Berdasarkan reservoir modeling yang dikontrol oleh data core, lapisan L3/4 di lapangan Lengo dapat dibagi menjadi 5 kelas (0-9.5% kelas 1; 9.5-17.04% kelas 2; 17.04-23.91% kelas 3; 23.91-28.53% kelas 4 dan 28.53-33.91 kelas 5). Pada skema waterflooding telah dipilih 9 sumur kandidat injeksi dan 11 sumur produksi dimana kerakteristik reservoir sumur-sumur injeksi tersebut masuk dalam kelas 3 dan 4. Aplikasi teori Buckley ? Levertt menunjukkan bahwa kecepatan waktu breakthrough sangat dipengaruhi oleh sifat permeabilitas relative minyak-air dan Pore volume batuan (Porositas * Ketebalan). Dari perhitungan yang telah dilakukan konfigurasi sumur injector ? produksi 3-3, 7-8 dan 9-9 diprediksi akan menghasilkan penambahan produksi yang bagus.
ABSTRACT
Reservoir modelling and production estimastion of waterflooding project has been conducted on Lengo filed. In this project reservoir modeling are the first steps to creat the reservoir geology model of the Lengo field and then used to make reservoir class depent on porosity data. The second steps are the Buckley ? Levrett theory that used to estimate the gain production and time from Breakthough until 100% water produce in monitoring well. Based on the reservoir model wich control by core data, the L3/4 reservoir in Lengo field can be devided into 5 class (0-9.5% as class 1; 9.5-17.04% as class 2; 17.04-23.91% as class 3; 23.91-28.53% as class 4 dan 28.53-33.91 as class 5). For the waterflooding project we use 9 wells for injection well and 11 wells for prodctuion/monitoring well where the reservoir charcteristic for all candidate wells included in class 3 and 4. Aplication of Buckley ? Leverett show that Breakthrourgh time very effected by oil /water relative permeability and pore volume (Porosity * H) of the reservoir. Based on the calculation configuration of injector-production wells of 3-3, 7-8 and 9-9 will be produce good gain i.e., 218.3MSTB, 196.8 MSTB and 437.1 MSTB, Reservoir modelling and production estimastion of waterflooding project has been conducted on Lengo filed. In this project reservoir modeling are the first steps to creat the reservoir geology model of the Lengo field and then used to make reservoir class depent on porosity data. The second steps are the Buckley – Levrett theory that used to estimate the gain production and time from Breakthough until 100% water produce in monitoring well. Based on the reservoir model wich control by core data, the L3/4 reservoir in Lengo field can be devided into 5 class (0-9.5% as class 1; 9.5-17.04% as class 2; 17.04-23.91% as class 3; 23.91-28.53% as class 4 dan 28.53-33.91 as class 5). For the waterflooding project we use 9 wells for injection well and 11 wells for prodctuion/monitoring well where the reservoir charcteristic for all candidate wells included in class 3 and 4. Aplication of Buckley – Leverett show that Breakthrourgh time very effected by oil /water relative permeability and pore volume (Porosity * H) of the reservoir. Based on the calculation configuration of injector-production wells of 3-3, 7-8 and 9-9 will be produce good gain i.e., 218.3MSTB, 196.8 MSTB and 437.1 MSTB]
2015
T43722
UI - Tesis Membership  Universitas Indonesia Library
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Mochamad Baihaki
Abstrak :
Enhanced Oil Recovery (EOR) merupakan metode tersier yang digunakan untuk meningkatkan produksi minyak bumi. Salah satu teknik yang digunakan dalam EOR yaitu chemical flooding dengan menginjeksikan bahan kimia ke dalam reservoir. Seleksi dilakukan terhadap surfaktan jenis SA (Sodium Lauril Sulfat), surfaktan jenis SB (Polioksietilen alkil eter fosfat) , dan surfaktan jenis SC (Etilen oksida propilen oksida blok kopolimer). Seleksi ini dilakukan berdasarkan 5 paramater uji yaitu Kompatibilitas, Stabilitas Termal, Kelakuan Fasa, Interfacial Tension, dan Imbibisi. Pada konsentrasi 1%, uji kompatibilitas untuk ketiga jenis surfaktan baik. Uji stabilitas termal terhadap surfaktan jenis SA cenderung stabil terhadap pemanasan, surfaktan jenis SB terdegradasi pada hari ke-30, surfaktan jenis SC mencapai cloud point pada hari ke-1 dan terdegradasi pada hari ke-60. Uji kelakuan fasa menghasilkan emulsi fasa bawah untuk ketiga jenis surfaktan. Pengukuran Interfacial Tension untuk surfaktan jenis SA, SB, dan SC berturut-turut yaitu 0,1723 mN/m, 0,0353 mN/m, dan 0,2001 mN/m. Uji Imbibisi menggunakan batuan sintetik (Pasir 70% : semen 30%), menghasilkan recovery oil untuk surfaktan jenis SA, SB, dan SC sebesar 2,09%, 0%, dan 4,16%. Uji Imbibisi menggunakan batuan sintetik (Pasir 90% : semen 10%), menghasilkan recovery oil untuk surfaktan jenis SA, SB, dan SC sebesar 2,42%, 0%, dan 4,69%. Formulasi surfaktan SC dan SA (0,9gr : 0,1gr) pada konsentrasi 1% menghasilkan nilai IFT yang optimal sebesar 0,13 mN/m dan uji Imbibisi menghasilkan recovery oil sebesar 4,84%. ...... Enhanced Oil Recovery (EOR) is a tertiary method used to improve oil production. One of technique is used in chemical EOR is flooding by injecting chemicals into the reservoir. The selection of the surfactant types are SA (Sodium lauryl sulfate), SB (polyoxyethylene alkyl ether phosphate), and SC (Ethylene oxide propylene oxide block copolymers). Selection is done by 5 parameter tests, namely compatibility, thermal stability, phase behavior, Interfacial Tension, and imbibition. At the concentration of 1%, the third compatibility test for both three types of surfactants is are relative good. Thermal stability test of the surfactant types SA tend to be stable against heating, surfactant types SB degraded on 30th day, the surfactant types SC reached the cloud point at day 1 and degraded on the 60th day. Phase behavior test of emulsions give under phase for the three types of surfactants. Measurement of Interfacial Tension for surfactant types SA, SB, and SC are 0.1723 mN/m, 0.0353 mN/m, and 0.2001 mN/m respectively. Imbibition test using synthetic rock (sand 70% : cement 30%), resulting in recovery of oil to surfactant types SA, SB and SC up to 2.09%, 0% and 4.16%. Imbibition test using synthetic rock (sand 90% : cement 10%), resulting in recovery of oil to surfactant types SA, SB, and SC up to 2.42%, 0% and 4.69%. Surfactant formulations of SC and SA (0,9 gr : 0,1 gr) at a concentration of 1% produces optimal IFT value of 0.13 mN / m and test imbibition oil recovery of 4.84%.
Depok: Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Indonesia, 2016
S61753
UI - Skripsi Membership  Universitas Indonesia Library
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Moscow: Peace publisher, 1965
665.73 DEV (1)
Buku Teks  Universitas Indonesia Library