Article Per Year (5 Year)
p-Index From 2020 - 2025
1.452
P-Index
This Author published in this journals
All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) JGE (Jurnal Geofisika Eksplorasi) Journal of Geoscience, Engineering, Environment, and Technology JLBG (Jurnal Lingkungan dan Bencana Geologi) (Journal of Environment and Geological Hazards) Journal of Science and Applicative Technology Buletin Sumber Daya Geologi Jurnal Geofisika Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal)
Handoyo Handoyo
Geophysical Engineering, Institut Teknologi Sumatera, South Lampung, Indonesia
Agriculture, Biological Sciences & Forestry Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Energy Engineering Environmental Science Materials Science & Nanotechnology Mechanical Engineering Physics

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Rock Physics Modeling and Seismic Interpretation to Estimate Shally Cemented Zone in Carbonate Reservoir Rock Handoyo Handoyo; M Rizki Sudarsana; Restu Almiati
Journal of Geoscience, Engineering, Environment, and Technology Vol. 1 No. 1 (2016): JGEET Vol 01 No 01 : December (2016)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (564.18 KB) | DOI: 10.24273/jgeet.2016.11.6

Abstract

Carbonate rock are important hydrocarbon reservoir rocks with complex texture and petrophysical properties (porosity and permeability). These complexities make the prediction reservoir characteristics (e.g. porosity and permeability) from their seismic properties more difficult. The goal of this paper are to understanding the relationship of physical properties and to see the signature carbonate initial rock and shally-carbonate rock from the reservoir. To understand the relationship between the seismic, petrophysical and geological properties, we used rock physics modeling from ultrasonic P- and S- wave velocity that measured from log data. The measurements obtained from carbonate reservoir field (gas production). X-ray diffraction and scanning electron microscope studies shown the reservoir rock are contain wackestone-packstone content. Effective medium theory to rock physics modeling are using Voigt, Reuss, and Hill. It is shown the elastic moduly proposionally decrease with increasing porosity. Elastic properties and wave velocity are decreasing proporsionally with increasing porosity and shally cemented on the carbonate rock give higher elastic properties than initial carbonate non-cemented. Rock physics modeling can separated zones which rich of shale and less of shale.
Estimation Microporosity Value of Fontanebleau Sandstone Using Digital Rock Physics Approach Reza Rizki; Handoyo Handoyo
Journal of Geoscience, Engineering, Environment, and Technology Vol. 3 No. 2 (2018): JGEET Vol 03 No 02 : June (2018)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (502.29 KB) | DOI: 10.24273/jgeet.2018.3.2.1544

Abstract

The technology of digital rock physics (DRP) allowed to predict the physical properties in core data sample, for example to predict value of porosity of data sample. This research applied the digital rock physics technique to predict the microporosity in sandstone sample: Fontanebleau Sandstone. The data are digital images from Fontanebleau Sandstone with high resolution scanned from micro tomography CT-Scan processing. The result of image processing shown in 2D and 3D image. From the data, the value of microporosity Fontanebleau Sandstone are beetwen 6% - 7%. This result confirmed by the quartz cemented sample of Fontanebleau Sandstone. The scale and sub-cube give the different value of microporosity which is indicated the scale influence to value of porosity value. So the simplest and best way is to average the all result from sub-cubes.
Rock Physics Formula and RMS Stacking Velocity Calculation to Assist Acoustic Impedance Inversion that Constrain Well Data Handoyo; Mochammad Puput Erlangga; Paul Young
Journal of Geoscience, Engineering, Environment, and Technology Vol. 5 No. 2 (2020): JGEET Vol 05 No 02 : June (2020)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (711.717 KB) | DOI: 10.25299/jgeet.2020.5.2.3089

Abstract

This research ilustrate the generation of acoustic impedance inversion in the absence of well log using stacking velocity input in Salawati Basin, Papua, Indonesia using data obtained from seismic lines and stacking velocity section. Initial acoustic impedance modelswere first before the inversion process and were created by spreading the value of well log data to the all seismic CDP. The calculated acoustic impedance logs from standard sonic and density logs were used to build the initial model of acoustic impedance.First, the stacking velocities was first interpolated on a grid that has the same size as the seismic data using by means of Polynomial algorithm. This was closely followed by the conversion of the stacking velocities to interval velocities using Dix’s equation. The matrix densities were estimated by simple rock physics approach i.e. Gardner’s equation as a velocity function. The initial model of acoustic impedance was calculated by multiplying the densities section and interval velocities section. The resulting initial model of acoustic impedance was inverted to obtain the best of acoustic impedance section based on reflectivity.
ESTIMASI SEBARAN HIDROKARBON DENGAN MENGGUNAKAN INDIKATOR P-WAVE DIFFERENCE DISPERSION FACTOR PADA LAPANGAN BONAPARTE Mokhammad Puput Erlangga; Handoyo Handoyo; Egie Wijaksono
Jurnal Geofisika Eksplorasi Vol 5, No 3 (2019)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v5i3.35

Abstract

In the hydrocarbon  exploration, we need the method that result the direct hydrocarbon indicator to estimate the reservoir location and dimension accurately. It is a difficult and long standing problem. The method that used before was inverting the linearized of Zoepprit’s equation. But this method would not result the physical property depend on frequency. We know that the seismic wave propagate in the porous and fluid saturated media will attenuate and wave dispersion. This phenomenon is caused by the dissipation of seismic energy that depend on frequency. So by this idea, we will use the frequency-dependent of physical property to improve the accuracy of direct hydrocarbon indicator. The physical property will be used here is the P-Wave velocity. The method is call the P-Wave Difference Dispersion Factor (PPDF).
ESTIMASI NILAI POROSITAS DAN PERMEABILITAS DENGAN PENDEKATAN DIGITAL ROCK PHYSICS (DRP) PADA SAMPEL BATUPASIR FORMASI NGRAYONG, CEKUNGAN JAWA TIMUR BAGIAN UTARA Benyamin Elilaski Nababan; Eliza Veronica Zanetta; Nahdah Novia; Handoyo Handoyo
Jurnal Geofisika Eksplorasi Vol 5, No 3 (2019)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v5i3.34

Abstract

Reservoir rock permeability and porosity are physical properties of rocks that control reservoir quality. Conventionally, rock porosity and permeability values are obtained from measurements in the laboratory or through well logs. At present, calculation of porosity and permeability can be calculated using digital image processing / Digital Rock Physics (DRP). Core data samples are processed by X-ray diffraction using CT-micro-tomography scan. The result is an image model of the core sample, 2D and 3D images. The combination of theoretical processing and digital images can be obtained from the value of porosity and permeability of rock samples. In this study, we calculated porosity and permeability values using the Digital Rock Physics (DRP) approach in sandstone samples from the Ngrayong Formation, North East Java Basin. The results of the digital image simulation and processing on the Ngrayong Formation sandstone samples ranged in value from 33.50% and permeability around 1267.02 mDarcy.
Analisis Parameter Elastisitas Untuk Interpretasi Litologi Dan Fluida Pori Reservoir Batupasir Formasi Intra Gumai Cekungan Sumatera Selatan Eliza Veronica Zanetta; Handoyo Handoyo; Fatkhan Fatkhan; Agus Laesanpura, M.S; Harnanti Yogaputri Hutami
Jurnal Geofisika Vol 19 No 2 (2021): Special Issues | Seismic Quantitative Interpretation |Jurnal Geofisika
Publisher : Himpunan Ahli Geofisika Indonesia (HAGI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36435/jgf.v20i2.508

Abstract

Modulus elastisitas merupakan salah satu parameter yang digunakan untuk identifikasi perbedaan litologi dan fluida pori dalam analisis reservoir batupasir tipis Formasi Intra Gumai di Cekungan Sumatera Selatan. Adapun parameter yang digunakan pada penelitian ini adalah Parameter lame (LMR), Poisson’s ratio dan . Parameter lame adalah parameter elastisitas yang menggunakan Vp dan Vs untuk diturunkan menjadi parameter LambdaRho dan MuRho. LambdaRho sensitif terhadap fluida sedangkan MuRho sensitif terhadap litologi. Poisson’s ratio merupakan pengukuran yang merepresentasikan sifat fisis batuan atau rasio dari strain transversal terhadap strain longitudinal. Teknik analisis ini akan dilakukan pada sumur EL-01. Hasil interpretasi log gamma ray, dan crossplot parameter lame pada kedalaman 1090-1120 m merepresentasikan litologi zona target sandstone. Crossplot antara Poisson’s ratio dan menunjukkan keterdapatan oil sand pada kedalaman 1100-1120 m dengan gas-sand memiliki nilai Poisson’s ratio paling rendah yaitu 0-0,21, oil sand memiliki Poisson’s ratio 0,21-0,34, Poisson’s ratio brine sand 0,34-0,39, Poisson’s ratio shale 0,39-0,45 dan Poisson’s ratio tertinggi yaitu unconsolidated shallow sediment. Sifat petrofisika yang digunakan pada penelitian ini yaitu porositas, densitas, dan . Kombinasi antara sifat petrofisika batuan dan parameter lame dapat menjadi metode optimal untuk memisahkan litologi dan kandungan fluida di dalam batuan reservoir.
Estimation of Rock Physical Parameters Based on Digital Rock Physics Image, Case Study: Blok Cepu Oil Field, Central Java, Indonesia Handoyo Handoyo; Fatkhan Fatkhan; Fourier D. E. Latief; Harnanti Y. Putri
Jurnal Geofisika Vol 16 No 1 (2018): Jurnal Geofisika
Publisher : Himpunan Ahli Geofisika Indonesia (HAGI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2131.092 KB) | DOI: 10.36435/jgf.v16i1.53

Abstract

Modern technique to estimate of the physical properties of rocks can be done by means of digital imagingand numerical simulation, an approach known as digital rock physics (DRP: Digital Rock Physics). Digital rockphysics modeling is useful to understand microstructural parameters of rocks (pores and rock matrks), quite quickly and in detail. In this paper a study was conducted on sandstone reservoir samples in a rock formation. The core of sandstone samples were calculated porosity, permeability, and elasticity parameters in the laboratory. Then performed digital image processing using CT-Scan that utilizes X-ray tomography. The result of digital image is processed and done by calculation of digital simulation to calculate porosity, permeability, and elastic parameter of sandstones. In addition, there are also predictions of p-wave velocity and wave -S using the empirical equations given by Han (1986), Raymer (1990), and Nur (1998). The results of digital simulation (DRP) in this study provide a higher than the calculations in the laboratory. The digital rock physicsmethod (DRP) combined with rock physics modeling can be a practical and rapid method for determining the rock properties of tiny (microscopic) rock fragments
Analisis Hubungan antara Nilai Critical Porosity dan Pore Space Stiffness Terhadap Kualitas Reservoir Batupasir Lapangan ”N” Cekungan Sumatera Selatan Nahdah Novia; Handoyo Handoyo; Fatkhan Fatkhan; Agus Laesanpura; Harnanti Yoga Putri
Jurnal Geofisika Vol 19 No 2 (2021): Special Issues | Seismic Quantitative Interpretation |Jurnal Geofisika
Publisher : Himpunan Ahli Geofisika Indonesia (HAGI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36435/jgf.v20i2.509

Abstract

Kualitas batuan reservoir yang baik adalah reservoir yang memiliki nilai porositas dan permeabilitas tinggi. Parameter utama dalam menentukan kualitas batuan reservoir adalah permeabilitas. Permeabilitas dipengaruhi oleh grain size, tortuosity, dan surface area yang pada praktiknya sulit untuk dihitung. Sebagai penghubung, parameter critical porosity dan pore space stiffness digunakan untuk mengetahui kualitas reservoir yang juga berkaitan dengan elastisitas batuan. Karakterisasi parameter-parameter tersebut dilakukan dengan menggunakan data logging, data XRD, dan permeabilitas. Dengan menggunakan persamaan Zimmerman dan model Nur untuk mendapatkan nilai pore space stiffness dan critical porosity. Penelitian ini menganalisis hubungan parameter petrofisika dengan parameter elastik untuk menentukan kualitas reservoir batuan. Hasil penelitian menunjukkan bahwa hubungan permeabilitas terhadap critical porosity dan pore space stiffness mampu merepresentasikan grain size dan tortuosity suatu batuan. Kualitas reservoir yang baik menunjukkan hubungan permeabilitas berbanding terbalik dengan tortuosity dan sebanding dengan grain size berdasarkan hasil nilai dari pore space stiffness dan nilai critical porosity besar berdasarkan hasil nilai pore space stiffness dan critical porosity sumur “N1” yaitu 0.1-0.3 dan 0.28-0.45, dan nilai permeabilitas berada pada range 2-46 mD.
Digital Rock Physics Investigation in Outcrop Sandstone Reservoir . Handoyo; . Fatkhan; F. D.E. Latief; R. Rizki; H. Y. Hutami
Journal of Science and Applicative Technology Vol 2 No 1 (2019): ICoSITeR Special Edition
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (555.983 KB) | DOI: 10.35472/281484

Abstract

Porosity and permeability of the reservoir rocks can be calculated using digital rock physics. This technique is one of the fastest and effective ways to calculate the value of porosity and permeability based on rock sample images. The samples observed in this paper were gathered from the outcrop of oil-filled sandstone formation. The technology of digital rock physics allowed us to predict the physical properties, mainly porosity and permeability, in the outcrop sandstone samples. The digital image model displayed in the 2D and 3D images and the complexity of pore geometry as well. From the image, we develop the digital simulation to predict the value of porosity and permeability in the 3D samples. By applying this method, we have confirmed that the target area of this research is potential to be a reservoir, which is porous and clean.
Interpretasi Sesar Geologi Menggunakan Deep Learning: Convolutional Neural Network (CNN) dengan Model Arsitektur U-Net di Laut Utara, Belanda Nungga Saputra; Handoyo Handoyo; Intan Andriani Putri
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 9, No 3 (2023): Volume 9 No 3
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v9i3.64017

Abstract

Tujuan mendasar dalam mempelajari struktur geologi dibawah permukaan adalah bagaimana fitur-fitur geologi dapat tercitrakan dengan baik dengan resolusi tinggi dengan menggunakan metode geofisika dan metode lain di bidang ilmu geosains. Salah satu fitur geologi yang penting dalam bidang eksplorasi dan mitigasi bencana geologi adalah sesar atau patahan. Sesar atau patahan adalah bidang yang memisahkan lapisan batuan secara vertikal atau sub-vertikal yang mengakibatkan diskontinuitas pada lapisan batuan. Dalam pengamatan citra bawah permukaan menggunakan seismik refleksi, diberikan citra gambaran batas antar lapisan dua buah lapisan batuan dan patahan sebagai bidang ketidakmenerusan. Pada penelitian ini, penulis telah mengaplikasikan metode kecerdasan buatan dengan menggunakan Convolutional Neural Network (CNN) dalam membantu interpretasi bidang sesar yang biasanya dilakukan secara konvensional. Penelitian ini bertujuan untuk menerapkan metode CNN pada data seismik di sekitar Laut Utara, Belanda, untuk membantu mempercepat tahapan interpretasi dengan akurasi yang baik. Pada penelitian ini, tahapan-tahapan penelitian dilakukan dengan tahapan Extract, Transform, Load (ETL) proses, train data dan model arsitektur deep learning U-Net. Hasil dari penelitian ini menunjukkan bahwa prediksi menggunakan machine learning memberikan hasil yang bersesuaian dengan pendekatan secara konvensional, dimana akurasi sekitar 90% data yang bersesuaian terutama pada bidang-bedang sesar yang dominan, baik secara dimensi yang panjang maupun zona rekahan yang kompleks.  Dengan menerapkan metode CNN pada data seismik, diharapkan perkembangan kecerdasan buatan dalam bidang geosains dapat semakin positif bagian kemajuan IPTEK di Indonesia.
Co-Authors . Fatkhan Agus Laesanpura Agus Laesanpura, M.S Airlangga, Feby Benyamin Elilaski Nababan Egie Wijaksono Eliza Veronica Zanetta Erlangga, Mokhammad Puput F. D.E. Latief Fatkhan Fatkhan Fatkhan Fatkhan Fatkhan Fatkhan Fourier D. E. Latief H. Y. Hutami Harnanti Yogaputri Hutami Irawati, Selvi Misnia M Rizki Sudarsana Nahdah Novia Nahdah Novia Nungga Saputra Paul Young Putri, Intan Andriani R. Rizki Restu Almiati Reza Rizki Wibowo, Andy Setyo