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All Journal Jurnal Migasian Akamigas Balongan Indramayu Journal of Petroleum and Geothermal Technology
Wardana, Raka Sudira
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Earth & Planetary Sciences Energy Engineering Health Professions Public Health

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Pore Pressure Prediction Using Artificial Neural Network Based On Logging Data WARDANA, RAKA SUDIRA; Susanty, Meredita; B.W, Hapsoro
Jurnal Migasian Vol. 4 No. 1 (2020): Jurnal Migasian
Publisher : LPPM Akademi Minyak dan Gas Balongan Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36601/jurnal-migasian.v4i1.97

Abstract

Pore pressure is a critical parameter in designing drilling operations. Inaccurate pore pressure data can cause problems, even incidents in drilling operations. Pore pressure data can be obtained from direct measurement methods or estimated using indirect measurement methods such as empirical models. In the oil and gas industry, most of the time, direct measurement is only taken in certain depth due to relatively high costs. Hence, empirical models are commonly used to fill in the gap. However, most of the empirical models highly depend on specific basins or types of formation. Furthermore, to predict pore pressure using empirical models accurately requires a good understanding in determining Normal Compaction Trendline. This proposed approach aims to find a more straightforward yet accurate method to predict pore pressure. Using Artificial Neural Network Model as an alternative method for pore pressure prediction based on logging data such as gamma-ray, density, and sonic log, the result shows a promising accuracy.
Designing Liquid-Gas Rate Window of Aerated Drilling Using Guo-Ghalambor Method Anwar, Fauzia Fadhila; Wardana, Raka Sudira
Jurnal Migasian Vol. 4 No. 2 (2020): Jurnal Migasian
Publisher : LPPM Akademi Minyak dan Gas Balongan Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36601/jurnal-migasian.v4i2.135

Abstract

Loss circulation is a common problem in geothermal drilling due to naturally fractured formation and depleted reservoir pressure. This problem might lead to another problem such as a stuck pipe. In some cases, LCM is not effective in curing loss in a naturally fractured formation and cannot be used to cure loss circulation in the production zone. One of the methods that can be used to prevent loss circulation and also preventing reservoir damage in geothermal drilling is underbalanced drilling or aerated drilling. In an underbalanced or aerated drilling operation, the ratio of air injection rate ad liquid rate is critical to ensure the cutting carrying capacity while preventing hole problems. Usually, computer simulations are used to determine the safe gas-liquid rate limit due to the complexity of the multiphase flow in an underbalanced drilling system. Since the simulation software is not always available, a simpler and reliable method is needed to determine the gas-liquid rate limit in aerated drilling. the purpose of this paper is to design the operating window of the gas-liquid rate ratio in aerated drilling. the purpose of this paper is to design the operating window of gas-liquid rate ratio in aerated drilling using a simple yet reliable method such as the Guo-Ghalambor Liquid-Gas Rate Window method. The result of this research is a gas-liquid rate envelope that can be used to promote good cutting transport, preventing formation and borehole damaged while preventing loss circulation in geothermal well.
Probabilistic Estimation of Geothermal Reserves in Dieng Field with JIWA Power Density and JIWA Volumetric Sholikhuddin, Mukhammad; Fahri, Dzakhi; Sihotang, Novanto; Wardana, Raka Sudira
Journal of Petroleum and Geothermal Technology Vol. 6 No. 1 (2025): May
Publisher : Universitas Pembangunan Nasional "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jpgt.v6i1.14387

Abstract

Geothermal energy is a renewable energy source that is environmentally friendly and can be utilized for power generation. This study aims to estimate geothermal reserves in Dieng Field using Monte Carlo simulation to overcome uncertainty in the calculation of geothermal resources. The methods used include the Power Density and Volumetric Stored Heat approaches by considering geophysical, geological, and well logging data. Monte Carlo simulation produces probabilistic estimates categorized into P10, P50, and P90 scenarios. The results show that the potential geothermal reserves in Dieng Field range from 56.91 MW (P10) to 113.41 MW (P90) based on the Volumetric method and between 64.22 MW (P10) to 111.22 MW (P90) based on the Power Density method. These results provide a comprehensive picture of the geothermal potential that can be utilized, and support decision-making in the sustainable development of geothermal energy.
Co-Authors Anwar, Fauzia Fadhila B.W, Hapsoro Fahri, Dzakhi Sholikhuddin, Mukhammad Sihotang, Novanto Susanty, Meredita