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) |
|---|---|
| Subjek: | Q Science > QC Physics |
| Divisions: | x. 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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