Ayu Yuliani, 1515051006 (2019) PREDIKSI PERMEABILITAS MENGGUNAKAN METODE LOG DAN PORE GEOMETRY STRUCTURE (PGS) PADA SUMUR AY-7 DAERAH CEKUNGAN JAWA BARAT UTARA. FAKULTAS TEKNIK, UNIVERSITAS LAMPUNG.
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Abstrak (Berisi Bastraknya saja, Judul dan Nama Tidak Boleh di Masukan)
Permeabilitas merupakan kemampuan suatu batuan agar dapat melewatkan fluida. Pada penelitian ini, perhitungan permeabilitas dilakukan dengan menggunakan metode log dan PGS (Pore Geometry Structure) berdasarkan data core, log, dan CT Scan. Kemudian membandingkan hasil prediksi permeabilitas terhadap data permeabilitas dari batuan inti (core) pada Sumur AY-7. Pada metode log, perhitungan permeabilitas dilakukan dengan analisis petrofisika yang bertujuan untuk mengevaluasi formasi zona target penelitian berupa perhitungan sebaran kandungan serpih (volume shale), porositas efektif, saturasi air, dan permeabilitas. Selanjutnya, determinasi nilai porositas dari CT Scan. Dilakukan pada 2 data core sebanyak 20 tube, setiap tube diplot sebanyak 15 titik. Output dari tahap ini adalah nilai Porositas CT yang akan digunakan untuk sebaran prediksi nilai permeabilitas PGS. Pada metode PGS, dilakukan rock typing berdasarkan deskripsi geologi, kemudian perhitungan prediksi permeabilitas. Menggunakan dua metode tersebut, dapat dilakukan perhitungan permeabilitas pada Sumur AY-7. Hasil perhitungan permeabilitas log dan PGS yang menunjukkan korelasi yang baik adalah hasil perhitungan Permeabilitas PGS. Terlihat dari data hasil perhitungan permeabilitas PGS mendekati gradien bernilai satu dengan R 2 sebesar 0.906, maka akan semakin mendekati nilai permeabilitas batuan inti. Sedangkan hasil perhitungan permeabilitas log terhadap permeabilitas batuan inti adalah sebesar 0.845. Kata Kunci: Prediksi Permeabilitas, Log, Pore Geometry Structure (PGS), CT Scan One of the most important reservoir rock properties is permeability. Permeability is the nature of a reservoir rock to be able to pass fluid. In this study, permeability calculations were carried out using log and PGS ( Pore Geometry Structure ) methods based on core data, logs, and CT-Scans. Then compare the results of the predicted permeability to the permeability data from the core rock (core) on the AY-7 well. In the log method, permeability is calculated by conducting a petrophysical analysis which aims to evaluate the formation in the form of calculation of the distribution of shale content in the research target zone, effective porosity, water saturation, and perm eability of logs. Next, the determination of porosity values from CT Scan. Performed on 2 data cores of 20 tubes, each tube was plotted as many as 15 points. The output of this stage is the Porosity_CT value that will be used for the distribution of predictions for PGS permitted values. In the PGS method, there are two stages that are carried out, namely rock typing based on geological descriptions, then predicting permeability. Using these two methods, permeability can be calculated on the AY- 7 Well. The results of log and PGS permeability calculations that show good correlation are the results of calculation of PGS permeability. It can be seen from the data from the calculation of PGS permeability approaching the gradient one value with R 2 of 0.906, it will get closer to the core rock permeability value. While the results of the calculation of the permeability of the log to the core rock permeability is 0.845. Keywords: Permeability Prediction, Log , CT-Scan, Pore Geometry Structure (PGS),
| Jenis Karya Akhir: | Skripsi |
|---|---|
| Subyek: | 600 Teknologi (ilmu terapan) > 620 Ilmu teknik dan ilmu yang berkaitan |
| Program Studi: | Fakultas Teknik > Prodi S1-Teknik Geofisika |
| Pengguna Deposit: | UPT . Neti Yuliawati |
| Date Deposited: | 18 Apr 2022 07:49 |
| Terakhir diubah: | 18 Apr 2022 07:49 |
| URI: | http://digilib.unila.ac.id/id/eprint/58385 |
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