NOVIANTO PRATAMA, RIZKY (2016) PENENTUAN GEOMETRI ENDAPAN PASIR BESI DI PESISIR PANTAI DAERAH CILACAP SELATAN MENGGUNAKAN PEMODELAN 3-D METODE MAGNETIK. Other thesis, UPN "Veteran" Yogyakarta.
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Abstract
Seiring berkembangnya era pembangunan, kebutuhan akan mineral-mineral logam untuk keperluan industri semakin meningkat. Salah satu mineral logam yang banyak dibutuhkan adalah mineral besi, dimana keberadaan mineral tersebut di alam salah satunya berupa pasir besi. Metode magnetik adalah metode geofisika yang digunakan untuk mengetahui gambaran kondisi bawah permukaan dengan cara memanfaatkan distribusi nilai suseptibilitas yang terdapat di dalam batuan. Analisa data magnetik dilakukan pada pesisir pantai di daerah Cilacap Selatan untuk mengetahui pola persebaran dan geometri endapan pasir besi secara lateral maupun vertikal sebagai data acuan dalam mendesain kegiatan eksplorasi lanjutan dengan lebih efisien dan juga sebagai perkiraan awal volum cadangan pasir besi. Akuisisi data dilakukan dengan 25 buah lintasan berarah Selatan-Utara dengan jarak antar lintasan sebesar 50 meter. Pergerakan pasang-surut ombak memiliki azimuth sekitar ± 315 o , sehingga perkiraan awal persebaran pasir besi memiliki arah Tenggara-Barat Laut. Berdasarkan korelasi antara data intensitas magnetik dan suseptibilitas terhadap data sumur uji, pasir besi pada daerah penelitian dapat dibagi kedalam dua kategori, yaitu pasir besi prospek dengan nilai derajat kemagnetan 80 % (intensitas magnetik (20 – 22.5) nT, suseptibilitas (20 x 10 -5 – 40 x 10 -5 ) emu) dan pasir besi tidak prospek dengan nilai derajat kemagnetan ≤ 60 % (intensitas magnetik (10 – 19.5) nT, suseptibilitas 4 x 10 -5 – 19 x 10 -5 ) emu). Perkiraan awal pasir besi prospek (derajat kemagnetan 80 %) memiliki volum cadangan sebesar 2,445,972,162 m3 (model 3-D suseptibilitas) dan 1,414,874 m 3 (model 3-D anomali magnetik) dengan arah persebaran Tenggara-Barat Laut. Kata Kunci : Metode Magnetik, Pemodelan 3-D, Pasir Besi, Intensitas Magnetik, Suseptibilitas, Derajat Kemagnetan. As infrastructure and industry progress in this era of development, the needs of metal minerals for industrial purpose is rising as well. One of those metal mineral is iron mineral, in which its natural state is in the form of iron sand and iron ore. Magnetic method is a geophysics method used to map the geological condition in subsurface, by utilizing the distribution of susceptibility value in rocks. Magnetic method is appropriate for iron sand exploration because it is commonly a ferromagnetic material. Magnetic data analysist was done on coastal area of Southern Cilacap to understand the distribution pattern and the geometry of iron sand deposits both laterally and vertically as a reference data for advance iron sand exploration in the near future. This analysist also includes early reserve estimation of the iron sand deposits. Magnetic data was acquired using 25 magnetic lines with South-North trend (0 o azimuth) with 50 meters inline spacing. The early estimation of iron sand distribution has South East-North West trend, because the tidal wave propagated at ± 315 o azimuth. By correlating the magnetic intensity and susceptibility data with 6 wells data, the iron sand in researched area is divided into two type, feasible iron sand with magnetic degree value of 80 % (magnetic intensity (20 – 22.5) nT, suseptibility 20 x 10 -5 – 40 x 10 -5 ) emu) and not feasible iron sand with magnetic degree value ≤ 60 % (magnetic intensity (10 – 19.5) nT, susceptibility (4 x 10 -5 – 19 x 10 ) emu). Early reserve volume estimation is 2,445,972,162 m 3 (3-D susceptibility model) and 1,414,874 m 3 (3-D magnetic anomaly model) with South East-North West distribution trend. Keywords : Magnetic Method, 3-D Modeling, Magnetic Intensity, Susceptibility, Magnetic Degree. -5
| Item Type: | Thesis (Other) |
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| Subjects: | Q Science > QC Physics |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
| Depositing User: | Eny Suparny |
| Date Deposited: | 06 Dec 2016 04:51 |
| Last Modified: | 06 Dec 2016 04:51 |
| URI: | http://eprints.upnyk.ac.id/id/eprint/9844 |
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