Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Dasar BERKALA SAINSTEK JURNAL FISIKA Saintifika UNEJ e-Proceeding Jurnal Pendidikan Fisika dan Keilmuan (JPFK) JOURNAL OF APPLIED INFORMATICS AND COMPUTING SAINTIFIKA
Puguh Hiskiawan
Department Of Physics, University Of Jember Jl. Kalimantan No. 37 Kampus Tegal Boto Jember 68121
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Education Health Professions Mathematics Medicine & Pharmacology Physics Social Sciences

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : UNEJ e-Proceeding

 1 
Deployment Porosity Estimation of Sandstone Reservoir in The Field of Hidrocarbon Exploration Penobscot Canada Himmah Khasanah; Puguh Hiskiawan; Supriyadi Supriyadi
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Porosity is defined as the percentage of empty spaces for storing fluid contained in rock.. Porosity becomes one of the requirements for determining reservoir which is good or bad. Porosity can be obtained from the seismic data has been acquired and processed previously; to obtain porosity from seismic data it is necessary determine an acoustic impedance value first. Acoustic impedance and porosity can be obtained by using deterministic inversion and neural network. Deterministic inversion operates in minimizing the difference between the acoustic impedance inversion results with the original. Deterministic inversion is part of the model-based inversion. The result of the inversion showed a correlation of 0.8 on a scale of 0-1. This result can be categorized a good inversion. Then acoustic impedance volume converted into volume porosity by using neural network. Neural network method showed a value of 0.2 for the difference between the acoustic impedance volume and volume porosity. The result of deterministic inversion and neural network method were the value of the distribution of porosity in the reservoir sandstone ranges from 13% to 23%.
Seismic Resolution Enhacement with Spectral Decomposition Attribute at Exploration Field in Canada Illavi Praseti Pebrian; Puguh Hiskiawan; Artoto Arkundato
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Seismic data that has a high resolution is very important used to describe hydrocarbon reservoirs in detail. Inconventional seismic data, the available bandwidth is limited and cannot map the thin layers that seen on well data, therefore, the way to improve the resolution of seismic data is needed. In this research, the method used to improve the resolution of seismic data is spectral decomposition. Spectral decomposition can characterize the seismic response at a particular frequency, and can also be used to filter the data, eliminating signals that are unwanted or increase the quality of data. Spectral decomposition method used is the Continuous Wavelet Transform (CWT). This study had been carried out by implementing CWT in certain wavelet and frequency to analyze the seismic resolution. The various wavelets had been used this study, are Morlet and Gaussian. The various frequencies of 2 Hz, 14 Hz, 20Hz, 25 Hz, 31 Hz, and 51 Hz in 1180 inline. The results obtained from this study show that the use of higher frequency shows better separation. In addition, the application of seismic data in the area of research Penobscot, the best separation of thin layer is in the tuning frequency 51 Hz using Morlet wavelet in 1180 inline.
Instantaneous Analysis Attribute for Reservoir Characterization at Basin Nova-Scotia, Canada Ruliyanti Ruliyanti; Puguh Hiskiawan; Artoto Arkundato
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Analysis of data seismic attributes used in the Basin of Nova-Scotia, Canada. This analysis aimed to determine the distribution of reservoir and reservoir characterization. Seismic attribute used the instantaneous attributes which included instantaneous amplitude, instantaneous frequency and instantaneous phase while for reservoir characterization used crossplot between instantaneous attributes with well log data. The attribute ran on specified target zone, the attribute analysis to determine the distribution of the reservoir. Crossplot conducted to determine the characteristics or physical properties of the reservoir in the target zone. Furthermore, lithologic and stratigraphic analysis to determine the geological conditions of the target zone. The study was conducted in inline and crossline of Logan Canyon formations. Research results obtained in the form of small fractures that are not visible and the two major faults with direction Northwest-Southeast and has the attributes of instantaneous output value is low. This fault is also the location of a distribution reservoir contained in the target zone. For the reservoir characteristics such as porosity and acoustic impedance range of values obtained respectively, so it can be said that the target zone is dominated by a sandstone reservoir form.
Co-Authors A.A. Ketut Agung Cahyawan W Artoto Arkundato Fitri Rizqi Azizah Himmah Khasanah Illavi Praseti Pebrian Nurul Piyantari Rano Rano, Rano Reni Agustiani, Reni Ruliyanti Ruliyanti Sri Hartanto Supriyadi Supriyadi Supriyadi Supriyadi Teguh Santoso Tio Jansel, Louis Feliepe William, Jovan Yudhistira Adi Nugraha