Claim Missing Document
Check
Articles

Found 5 Documents
Search

KORELASI LOG DAN DATA LABORATORIUM UNTUK MENENTUKAN KUALITAS BATUBARA DI DAERAH BANGKO BARAT, TANJUNG ENIM, SUMATERA SELATAN Yudanto Setyo Budi; Y Yatini
Jurnal Geosaintek Vol 7, No 1 (2021)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25023659.v7i1.8011

Abstract

Aplikasi metode well logging untuk mengetahui kualitas lapisan batubara dilakukan di daerah Banko Barat, Tanjung Enim, Sumatera Selatan. Kompilasi analisis log density, log gamma ray dan korelasi data laboratorium dilakukan di tiga sumur yaitu Alkana 1, Alkuna 2 dan Alkena 3. Hasil analisa data well logging menunjukkan batubara memiliki nilai rata-rata log gamma ray sebesar 0-10  CPS, sedangkan  log densitas sebesar 300-600 CPS. Korelasi densitas dengan volatile matter diperoleh nilai koefisien 0.0281 negatif, sedangkan densitas dengan ash content sebesar 0,0408 negatif. Korelasi densitas dengan nilai kalori sebesar 0.3316 positif dan dengan fixed carbon bernilai 0.077 positif. Korelasi densitas dengan total moisture bernilai 0.0436 negatif dan terhadap kandungan sulfur bernilai 0.0008 negatif. Hasil analisa data well loging dan korelasi  data laboratorium menunjukkan  batubara di daerah Bangko Barat memiliki kualitas yang baik dan memiliki peringkat batubara subbituminous.
Effectiveness of Laboratory Physical Modeling in Acquiring the Response of Time Domain Induced Polarization (TDIP) Y Yatini; Djoko Santoso; Agus Laesanpura; Budi Sulistijo
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 12 No. 1 (2022)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v12n1.p34-46

Abstract

Induced Polarization (IP) is one of the Geophysical methods that utilize the polarization properties of the rocks for metallic mineral exploration. The problems are how to distinguish the metallic minerals deposit based on the chargeability. The physical modeling of IP is used to study the behavior of TDIP response. The study of a simple mathematical model is carried out to obtain the theoretical curves which are presented as the subsurface parameter. These curves are used as a reference to assess the result of physical modeling. The laboratory physical modeling uses a tank model with a size of (200x100x70) cm3, with a block as a target and water as a host medium. The results show laboratory physical modeling which has been made is quietly good. The approximate position and geometry of the target can be identified. The resistivity inversion modeling is sensitive to recognizing the geometry and position, while the chargeability inversion is on the distribution of metallic minerals. The quantitative correlation between chargeability and iron-ore content is obtained by Dipole-dipole and Wenner configuration. Both are connected exponentially, with a different exponential constant for different block targets.
The Effect of Geochemical Elements on Resistivity Values in Nickel Laterite Profiles (Case Study: Area "YL", Pomalaa District, Kolakaa Regency, Southeast Sulawesi Baiq Yola Wahyu Febryanty; Y Yatini; Muhammad Arief Wicaksono
Journal of Geology Sriwijaya Vol 2 No 2 (2023): The Journal of Geology Sriwijaya
Publisher : Teknik Geologi, Fakultas Teknik, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62932/jgs.v2i2.1974

Abstract

Indonesia is located in the meeting zone of the world's three major plates, causing Indonesia to be an area with high tectonic activity. One of the products of this activity is the large number of economic mineral resources in several regions in Indonesia, one of which is nickel. Indonesia is one of the highest nickel producers in the world, with production reaching 11,887 tons of ore resources. The level of demand for nickel has increased quite rapidly in recent years, thus encouraging exploration activities to continue. The nickel laterite zone produces several deposits, such as top soil, limonite, saprolite, and bedrock. In exploration activities, the saprolite zone is the main target due to its high nickel content. The exploration stage was carried out by applying one of the geophysical methods, namely the Electrical Resistivity Tomography (ERT) method. This research uses 4 (four) 300 meter ERT lines and Wenner configuration, as well as drill and geochemical data to assist in the analysis process. The aim of this research is to determine the characteristics of each zone of nickel laterite deposits which are controlled by the levels of elements or compounds they contain. Based on the research results, the range of resistivity values obtained is quite low, namely low (< 35 Ωm) is the saprolite zone, medium (35 – 65) Ωm is the saprock zone which contains boulders in it, and high (> 65 Ωm) is the bedrock zone in the form of Peridotite rocks, most of which have undergone quite intensive serpentinization and weathering processes and are influenced by tectonic activity in the form of faults. Resistivity values are largely influenced by the levels of metal elements and water (H2O), especially in the saprolite and saprock zones. This is controlled by the morphology and movement of water below the surface, thus influencing the weathering process that occurs, causing unevenness in the thickness and distribution of elements and compounds in each zone in the research area.
Application of K-means clustering and B-value algorithms for analysis of earthquake-dangerous zones in Java Island Bentang Anggarajati; Y Yatini; Wiji Raharjo
International Journal of Advances in Applied Sciences Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i4.pp911-919

Abstract

Java Island is an island with a high earthquake vulnerability. Therefore, earthquake mitigation measures are needed to reduce the impact of earthquakes. Earthquake mitigation is done by knowing the zones with a high risk of earthquakes and high levels of rock stress. The methods used to map earthquake-prone zones are K-means clustering and B-value. The K-means clustering method can provide earthquake clusters based on their characteristics and the B-value can produce rock stress conditions in the area. The results of this study are that the K-means clustering method produces 7 earthquake clusters with 5 classifications of very low, low, medium, high, and very high. In contrast, the B-value process has a high B-value with a value of 1.2-1.5 in West Java and a low B-value with a value of 0.9-1.2 in the central to the eastern part of Java.
MANGANESE (Mn) MINERAL DELINIATION AT THE “NAMASTE” FIELD BASED ON INDUCED POLARIATION (IP) METHOD Virnanda Eka Cahyaningtyas; Y Yatini
Jurnal Geosaintek Vol. 12 No. 2 (2026)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25023659.v12i2.1879

Abstract

Indonesia is one of the world's leading producers of manganese (Mn). Manganese is one of the essential elements required by humans and industry, making the exploration of manganese minerals crucial. This exploration often utilises geophysical methods. Research has been conducted on the “Namaste” field area located in Tulungagung Regency, East Java. The study aims to determine the presence and distribution of manganese minerals using the Induced Polarisation (IP) method, thereby enabling the identification of the lithology and the presence of manganese minerals in the study area. Measurements were made on 10 trajectories using a dipole-dipole configuration with a = 10 and a = 20 meters and n = 1-8. The measurement trajectory spans an area of 400 m x 400 m, with a length ranging from 100 to 260 meters. Data were processed using Res2DInv and other software such as Surfer, Oasis Montaj, CorelDraw, Rockwork, and Leapfrog. The results show the distribution of resistivity values in the range of (5-4500) Ohm-m and chargeability values of (1-295) msec. Low resistivity values, below 100 Ohm-m, are interpreted as indicating carbonate mudstone, while medium resistivity values (100-2000 Ohm-m) are interpreted as indicating limestone. High resistivity values >2500 Ohm-m are interpreted as intrusive igneous rocks. The presence of manganese minerals is spread at a depth of <27 meters with a high chargeability value of >100 msec. The distribution of manganese minerals is dominated in the central and northern areas of the study area.