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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.

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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]

Abstrak :
Reservoar gas batu pasir pada formasi Arang telah berhasil di karakterisasi dengan mengintegrasikan ketiga metode dari inversi simultan, analisis LMR dan analisis AVO. Karakterisasi difokuskan dalam dua hal yaitu identifikasi litologi dan kandungan fluidanya. Pada studi ini masing-masing metode akan menghasilkan parameter fisis yang sensitif terhadap karakter dari reservoar.Inversi simultan menghasilkan tiga parameter fisis berupa impedansi P (Zp), impednasi S (Zs), dan rasio Vp/Vs. Sementara transformasi LMR akan menghasilkan dua parameter fisis yaitu Mu-rho dan Lamda-rho. Identifikasi litologi dilakukan melalui analisis parameter fisis Mu-rho dan impedansi S sedangkan identifikasi kandungan fluida melalui analisis parameter Lamda-rho, impedansi P, dan rasio Vp/Vs. Analisis AVO dilakukan untuk mengetahui tipe kelas anomali dari gas yang mengisi reservoar melalui analisis gradien. Hasil studi menunjukan parameter Mu-rho dan lamda rho berhasil menggambarkan persebaran reservoar gas batu pasir secara 3D. Hasil impedansi S, impedansi P, dan Vp/Vs juga menujukan indikasi dari reservoar batu pasir di daerah yang sama. Terakhir berdasarkan analisis AVO tipe gas dalam reservoar adalah kelas IIp. ...... Gas sand resrvoir at Arang formation has been characterized by integrating three method from simultaneous inversion, LMR analysis, and AVO analysis.Characterization is focused on two things, litologi identification and fluid content. Each method in this study will produce parameter which sensitive to reservoar character. Simultaneous inversion results three physical parameters P-impedance, S-impedance, and ratio Vp/Vs. Whereas LMR transformation results two parameters, Lamda-rho and Mu-rho. Litology identification is done with Mu-rho and S-impedance analysis while fluid content identification is done with Lamda-rho, P-impedance, and ratio Vp/Vs. AVO analysis has purpose to know anomaly type from gas in reservoar through gradient analysis. This study shows that Mu-rho and Lamda-rho analysis can deliniate Gas Sand Reservoar in 3D form. While S-impdance, P-impedance, and Vp/Vs also indicate gas sand reservoar in the same spot. Finally based on AVO analysis, gas type in reservoar is class IIp.