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Rahmiati
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Geosains Kutai Basin
Published by Universitas Mulawarman
ISSN : -     EISSN : 26155176     DOI : https://doi.org/10.30872/geofisunmul.v5i2
Core Subject : Science,
Earth & Planetary Sciences
Coastal and Ocean Dynamics Environmental of Geophysics Geodesy and Geography Geographic Information System Geology Geophysics Exploration Geotechnical/ geo-engineering Hazard Mitigation Hydrology Meteorology and Climatology Mining Engineering Seismology and Volcanology Oceanography
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Geofisika
Articles 5 Documents
 1 
Search results for , issue "Vol. 7 No. 1 (2024)" : 5 Documents clear
Analisis Interpolasi Inverse Distance Weighted (IDW) Dan Ordinary Kriging (OK) untuk Estimasi Volume Batubara di Area Sebuku Kalimantan Selatan Sarita, Rahma; Lepong, Piter; Asmaidi, Asmaidi
GEOSAINS KUTAI BASIN Vol. 7 No. 1 (2024)
Publisher : Geophysics Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/geofisunmul.v7i1.1233

Abstract

ABSTRACT The coal thickness value can be determined through estimation using the inverse distance weighted and ordinary kriging interpolation method. The aim of this research is to determine coal volume estimates using inverse distance weighted (IDW) and ordinary kriging (OK) interpolation in the Sebuku area of ​​South Kalimantan. The estimation process begins with determining the power parameters using the inverse distance weighted method. In this study, a power value of 2 was used and the spherical semivariogram model was used in the ordinary kriging method because it has the smallest Root Mean Square Error (RMSE) value compared to other models. The estimated coal volume using the inverse distance weighted method is 106,436,537.5 m3 and the estimated tonnage is 144,753,691 tons with an average thickness of 5.74 m. Meanwhile, the coal volume estimated using the ordinary kriging method was 101,421,737.5 m3 and the estimated tonnage was 137,933,563 tons with an average thickness of 5.33 m. Keywords: Estimation the coal thickness value, Inverse distance weighted, Ordinary Kriging
Penentuan Status Mutu Air Laut Menggunakan Metode Indeks Pencemaran di Perairan Bontang Kalimantan Timur Khairunnisa, Nia; Mandang, Idris; Munir, Rahmiati
GEOSAINS KUTAI BASIN Vol. 7 No. 1 (2024)
Publisher : Geophysics Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/geofisunmul.v7i1.955

Abstract

Bontang City is a coastal city in East Kalimantan, directly bordering the Makassar Strait, with numerous residential, industrial, and trade areas along its coastline. These activities can impact the decline in seawater quality in Bontang City's coastal waters. The decrease in seawater quality will diminish the usability, productivity, and capacity of aquatic resources, ultimately reducing the wealth of natural resources. The high human activity along Bontang's coast is feared to cause seawater pollution, affecting the management of seawater quality now and in the future. This research aims to determine the quality status of seawater in Bontang waters using the Pollution Index (IP) method. Water quality sampling took place in September 2021 at 8 research stations and was analyzed at Mulawarman University's Water Quality Laboratory. The results were then compared with seawater quality standards based on Government Regulation No. 22 of 2021. The research findings categorize the seawater quality status in Bontang waters using the Pollution Index (IP) method as lightly polluted at all observation stations, with a range of values 1 > IP > 5. Parameters contributing to this condition are PO4-P and DO that do not meet quality standards. Parameters in accordance with quality standards for marine and port tourism include temperature, salinity, pH, BOD5, NO3N, and NH3-N. The increase in parameters exceeding the maximum quality standards comes from natural sources and industrial waste from high community activities
Studi Prospek Reservoar Hidrokarbon Berdasarkan Karakteristik Petrofisika di Lapangan ‘X’ Cekungan Sebuku Jayadi, Harsano; Imran, Syahdan Ali; Atmoko, Widi; Uno, Irianto; Meidji, Icha Untari
GEOSAINS KUTAI BASIN Vol. 7 No. 1 (2024)
Publisher : Geophysics Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/geofisunmul.v7i1.1275

Abstract

The research was conducted to determine the hydrocarbon reservoir zone in the LIM-1 well, which was analyzed using quantitative and qualitative methods to assess the reservoir type involving several log data, including gamma ray (GR), neutron (NPHI), and density (RHOB). The quantitative analysis stage is the determination of hydrocarbon content by the crossover of NPHI log data, and RHOB log data with six target zones. The quantitative analysis stage in this study uses Interactive Petrophysics (IP) software version 3.5 on well LIM-1, also with target zone 1 only. The results obtained from qualitative and quantitative analysis at well LIM-1 show that there are three types of reservoirs in the study area from several target zones according to depth, which are dominated by oil, water, and gas.
Identifikasi Keberadaan Hidrokarbon Menggunakan Inversi Impedansi Akustik dengan Algoritma Artificial Neural Network (ANN) Maulana, Ansar; Lepong, Piter; Sutaji Putri, Devina Rayzy Perwitasari; Munir, Rahmiati
GEOSAINS KUTAI BASIN Vol. 7 No. 1 (2024)
Publisher : Geophysics Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/geofisunmul.v7i1.1127

Abstract

Hydrocarbons are the main energy source in the world, especially in Indonesia, this is what makes hydrocarbons a natural resource that has been extensively explored to determine the presence of hydrocarbons. The exploration used is the Geophysics method, namely the seismic method and the well logging method, both methods are processed to provide an overview of the subsurface. The data processing technique used is acoustic impedance inversion modeling which aims to determine the characteristics of the reservoir based on changes in the acoustic impedance value in each layer. In this study using model-based acoustic impedance inversion using an artificial neural network (ANN) algorithm and the results obtained in the inversion analysis obtained an error of 0.002, so that the model can be used on seismic trace data to produce an acoustic impedance model. modeling section with a value of less than 5000 which may mean that there are hydrocarbons in the research location. Keywords: Artificial Neural Network, Hydrocarbons, Acoustic Impedance, Inversion.
Laju Infiltrasi Air di Lubang Biopori pada Berbagai Jenis Tanah di Kelurahan Loa Bakung Arrosyidah, Mosy R; Djayus, Djayus; Mislan, Mislan; Munir, Rahmiati
GEOSAINS KUTAI BASIN Vol. 7 No. 1 (2024)
Publisher : Geophysics Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/geofisunmul.v7i1.1237

Abstract

The reduction of green open space results in a lack of infiltration of rainwater into the soil and an increase in the amount of surface flow, one solution to overcome these problems is to implement a biopore infiltration hole system. This study aims to determine the rate and capacity of water infiltration in biopore holes based on various soil types in Loa Bakung Village. The infiltration rate was determined through direct measurement at 9 points in 3 locations with gleisol, podzolic, and podzolic haplik soil types, then measured by putting water into a hole with a diameter of 10 cm with a depth of 80 cm - 100 cm. The parameters measured are the difference in distance or height and time. The results of parameter measurements were made into a graph to obtain the highest infiltration rate at the research location, and determine the infiltration capacity using the Horton equation. Then, soil samples were analyzed by measuring soil physical properties that affect infiltration rates such as texture, porosity, permeability, and moisture content. The results showed that the infiltration rate and infiltration capacity varied in each location. Location 2 with podzolic soil type shows the highest infiltration rate and capacity value of 2820 cm/hour with an infiltration capacity of 2782.84 cm/hour. Followed by location 1 which is a gleisol soil type of 1224 cm/hour with an infiltration capacity of 1217.72 cm/hour, and the lowest value is shown in location 3 with a haplik podzolic soil type of 1050 cm/hour with an infiltration capacity of 1041.46 cm/hour.

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