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Updating the Conceptual Model of Lumut Balai geothermal Field, South Sumatera, Indonesia Using Numerical Simulation

IOP Conference Series: Earth and Environmental Science 2020年第1期417卷

作者： Muhamad Ridwan Hamdani Heru Berian Pratama Sutopo Geothermal Engineering Study Program Institut Teknologi Bandung Indonesia Jl. Ganesha No.10 Bandung West Java Indonesia.

The Lumut Balai geothermal field is classified as a volcanic hydrothermal system characterized by the presence of fumaroles and hot springs. Downhole measurements indicate that this geothermal system has a liquid-dominated reservoir with temperatures of 240-260°C. This study presents a natural state model and updated the conceptual model of Lumut Balai based on published geological, geophysical, geochemical, and well data. The model was validated using available temperature data from three drilled wells. Furthermore, the mass and heat flow through the model were also validated with geoscience and well data. A match to the natural state condition was achieved by adjusting the horizontal and vertical permeability. The updated conceptual model of Lumut Balai geothermal field has been shown to be physically realistic by a numerical model. The model temperatures, mass flow, and heat flow are well-matched with the actual data, although there is still some room for further improvements.

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Preliminary Financial Modelling with Probabilistic Approach for geothermal Development Project in Indonesia

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IOP Conference Series. Earth and Environmental Science 2020年第1期417卷

作者： Lesmana, Ade Nevi Cahya Winofa Heru Berian Pratama Saptadji, Nenny Miryani Ashat, Ali Geothermal Master Program Institut Teknologi Bandung Indonesia Petroleum Engineering Study Program Institut Teknologi Bandung Indonesia Jl. Ganesha No.10 Bandung West Java Indonesia Geothermal Master Program Institut Teknologi Bandung Indonesia Petroleum Engineering Study Program Institut Teknologi Bandung Indonesia Jl. Ganesha No.10 Bandung West Java Indonesia Geothermal Master Program Institut Teknologi Bandung Indonesia Department of Earth Resources Engineering Faculty of Engineering Kyushu University. Fukuoka 819-0395 Japan

The right of geothermal field concession in Indonesia is obtained by tender as per Law No. 21/2014 Article 18. In the submitted proposal, the developer candidates shall mention the plan of field development strategy, while available data is limited due to a preliminary survey or preliminary survey and exploration were just performed. Then the developer candidates must be able to formulate the financial condition of the project so that the field utilization not only sustains but also produces appropriate profits. This paper discussed some regulations which are related to the economics of geothermal development project in Indonesia and a simple example of financial modelling with a probabilistic approach using Microsoft Excel Monte Carlo simulation and analysis tool. The input data were some technical assumptions such as installed capacity, steam fraction, steam specific consumption (SSC), well’s capacity, well’s success ratio, and financial assumptions such as well’s price, power plant construction’s cost, operation and maintenance cost, and others. The output of modelling were NPV (Net Present Value), IRR (Internal Rate of Return) and parameters that were sensitive to both values, whether financially or technically. The result of simulation showed from the financial aspect, wells and power plant cost were the most sensitive parameters in IRR calculation, while well’s capacity and steam fraction were the most sensitive parameters from the technical aspect.

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A New Mechanism in Determining the Number of geothermal Wells for Power Plant Development Using Stochastic Method

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IOP Conference Series: Earth and Environmental Science 2020年第1期417卷

作者： Feri Vernando Salim Heru Berian Pratama Nenny Miryani Saptadji Petroleum Engineering Study Program Institut Teknologi Bandung Indonesia Jl. Ganesha No.10 Bandung West Java 40132 Indonesia Geothermal Engineering Study Program Institut Teknologi Bandung Indonesia Jl. Ganesha No.10 Bandung West Java 40132 Indonesia

The number of geothermal wells (production, injection, make-up) should be calculated carefully to get the optimum values for the technical aspect of power plant development. However, the method for calculating the number of wells has been used is a deterministic approach that involves only a single value for every parameter. Since the result of this method is a single value, it cannot capture the uncertainties of the field parameters. Therefore, this paper proposed the newest method that applied 2-level full factorial design of experiment approach with the help from Minitab software to cover the uncertainties of the field parameters and to produce the probabilistic number of wells in combination with Monte Carlo Simulation. The proposed method has been successfully used to calculate the number of wells in the case study of Karaha-Talaga Bodas field. Based on the study, the most significant factors for determining the number of production and injection wells are the fluid enthalpy and total mass flow rate, whereas for the make-up wells number are the decline rate and make-up well capacity. 5 production wells, 1 injection well, and 4 make-up wells are the minimum requirement number of wells that should be drilled for generating 30 MW power plant capacity in 30 years.

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The Application of Numerical Simulation Result for geothermal Financial Model with Probabilistic Approach: A Comprehensive study

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IOP Conference Series: Earth and Environmental Science 2020年第1期417卷

作者： Nevi Cahya Winofa Ade Lesmana Heru Berian Pratama Nenny Miryani Saptadji Ali Ashat Petroleum Engineering Study Program Institut Teknologi Bandung Indonesia Geothermal Master Program Institut Teknologi Bandung Indonesia Jl. Ganesha No.10 Bandung West Java Indonesia Department of Earth Resources Engineering Faculty of Engineering Kyushu University. Fukuoka 819-0395 Japan

Feasibility of developing a geothermal project depends on the financial return generated from the investment. One of the strategies to achieve optimum return is formulating a financial model with a high level of confidence. Technical input parameters in the financial model are determined by the amount of available geothermal reserve in the form of a field development scenario. The best method for predicting geothermal reserve is a numerical simulation. The objective of this study is to determine the electricity tariff to generate 30 MW, 60 MW, and 110 MW which meet the 50% of the Rate of Return value will be equal or not exceed 16% (P50) for a specific geothermal field with a probabilistic approach. This study started with determining the technical input parameters: the number of production wells; makeup wells; and injection wells from each development scenarios based on numerical simulation result that has been studied by another researcher. The electricity tariff that meets the P50 of Rate of Return at 16% was calculated for those scenarios. Then, the tariffs were evaluated based on the Average Cost of Electricity Generation (BPP) on the relevant local grid. The result shows that the tariff or/and generation cost need to be negotiated. Moreover, total investment and economic indicators forecasting indicated that the investment was attractive. Lastly, sensitivity analysis shows that Rate of Return strongly affected by well drilling cost and power plant cost (EPCC).

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Experimental design and response surface method application in resources assessment: case study Karaha-Talaga bodas, West Java, Indonesia

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IOP Conference Series. Earth and Environmental Science 2019年第1期254卷 012026-012026页

作者： Prabata, Welly Sutopo Heru Berian Pratama Geothermal Engineering Study Program Institut Teknologi Bandung Indonesia Jl. Ganesha No.10 Bandung West Java 40132 Indonesia

The objective of this study is to build a numerical model which combine with experimental design method as a probabilistic approach to overcome the uncertainty parameters of reservoir so that can be obtained more valid assessment result. A Plackett-Burmann design method was used to minimize experimental simulation run into 12 experiments by investigating six uncertainty parameters with two degrees level. This process assesses the impact of evaluated parameters affecting resources and interacting between these parameters. This methodology have been successfully estimated the maximum resources with polynomial function covering the entire range of possible values of important reservoir parameters.

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Thermal design of 5 kg capacity coffee bean dryer simulator using geothermal energy

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IOP Conference Series: Earth and Environmental Science 2019年第1期254卷

作者： J Hendrarsakti M R Firmansyah Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Geothermal Study Program Institut Teknologi Bandung Jl. Ganesha 10 Bandung Indonesia

A coffee bean dryer simulator that would be able to fully simulate the whole process of coffee bean drying using heat recovered from geothermal energy source has been thermally designed. This simulator is planned to educate people living near the geothermal resources or power plants about the direct use of geothermal energy, especially in coffe drying. The maximum capacity of this simulator is 5 kilogram of fresh coffee bean that is dried using hot air at 45°C and mass flow rate of 0,23 kg/s. The duration of drying is about 3000 seconds which should be adequate to represent the drying process. The heat exchanger proposed for this thesis is a compact heat exchanger with staggered pipe arangement. The total number of pipes is 10 pipes at 36 cm in length and 65 flat plate alluminium fins measured at 0,6m x 0,16m x 0,005m. The fin efficiency value and the overall surface efficiency value are 72% and 73% respectively.

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Analysis of Focal Mechanism for Determine Fault Plane Orientation Using The Moment Tensor Inversion Case study : West Java geothermal Field

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IOP Conference Series: Earth and Environmental Science 2019年第1期318卷

作者： Rhamadhana Sultan Mohammad Rachmat Sule Andri Hendriyana Pepen Supendi Geothermal Engineering Study Program Institut Teknologi Bandung Indonesia Jl. Ganesha No.10 Bandung West Java Indonesia. 40132 Geophysical Engineering Study Program Institut Teknologi Bandung Indonesia Jl. Ganesha No.10 Bandung West Java Indonesia. 40132

Micro earthquakes in geothermal field is used to monitor subsurface conditions especially in the reservoir. Micro earthquakes data can be used to determine focal mechanism or fault plane solution with moment tensor inversion method using ISOLA program in MATLAB-GUI. Focal mechanism or fault plane solution describes the orientation of the fault and slip on the fault relative to a geographical coordinate system. The arrival time of the P wave from the 3-component seismometer recording is used in moment tensor inversion and the frequency band that used is 0.02 to 0.08 Hz. The result of inversion with minor error indicated by the value of variance reduction approaching 1 calculated is from modelling waveform synthetic with green function and waveform observation. Fault plane solution in the field that represented by beach ball describes the dominant fault in the North is oblique fault with dip 30–90 degree and in the South is reverse fault with dip 20-85 degree.

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Updating conceptual model of Ciwidey-Patuha geothermal using dynamic numerical model

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IOP Conference Series: Earth and Environmental Science 2019年第1期254卷

作者： Ali Ashat Heru Berian Pratama Ryuichi Itoi Department of Earth Resources Engineering Faculty of Engineering Kyushu Univ. Fukuoka 819-0395 Japan. Geothermal Engineering Study Program Institut Teknologi Bandung Indonesia Jl. Ganesha No.10 Bandung West Java Indonesia.

A study of Ciwidey-Patuha geothermal field using TOUGH2 reservoir simulation has been conducted. The purpose of this study is to verify and update previous Ciwidey-Patuha conceptual models. The numerical model of vapour-dominated reservoir with steam zone underlying liquid reservoir is constructed based on detail reservoir characterization from geoscience and well data. The reservoir boundary is defined based on TCH (temperature core hole) wells. The distribution of porosity, pressure, temperature and steam saturation are assessed. The model is validated by matching downhole data on pressure and temperature during exploration stage. Then for exploitation stage, the model is validated using reservoir pressure.

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Comparison of resource assessment methods with numerical reservoir model between heat stored and experimental design: case study Ciwidey-Patuha geothermal field

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IOP Conference Series: Earth and Environmental Science 2019年第1期254卷

A successful geothermal field size assessment requires integrative data analysis of all aspects to determine the optimum capacity to be installed. Nowadays, numerical simulation becomes a powerful tool in a geothermal resource assessment process. However, this method involves significant uncertainty of subsurface information as an input. Then a study of resource assessment methods, such as heat stored and experimental design, needs inputs coming from the result/output of reservoir numerical. The calculation of both methods based on a range of reservoir parameter values can be carried out using stochastic methods (Monte Carlo Simulation). It applies a probabilistic method of resource assessment to capture uncertainties. A sophisticated numerical reservoir model of Ciwidey-Patuha geothermal Field, West Java-Indonesia in the natural state condition was used as a case study to determine the generating potential of the reservoir.

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Probabilistic approach of resource assessment in Kerinci geothermal field using numerical simulation coupling with monte carlo simulation

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IOP Conference Series: Earth and Environmental Science 2017年第1期103卷

作者： Iki Hidayat Sutopo Heru Berian Pratama Study Program of Petroleum Engineering Faculty of Mining and Petroleum Engineering Bandung Institute of Technology Study Program of Geothermal Engineering Faculty of Mining and Petroleum Engineering Bandung Institute of Technology Jl. Ganeca No. 10 Bandung West java Indonesia. 40132

The Kerinci geothermal field is one phase liquid reservoir system in the Kerinci District, western part of Jambi Province. In this field, there are geothermal prospects that identified by the heat source up flow inside a National Park area. Kerinci field was planned to develop 1×55 MWe by Pertamina geothermal Energy. To define reservoir characterization, the numerical simulation of Kerinci field is developed by using TOUGH2 software with information from conceptual model. The pressure and temperature profile well data of KRC-B1 are validated with simulation data to reach natural state condition. The result of the validation is suitable matching. Based on natural state simulation, the resource assessment of Kerinci geothermal field is estimated by using Monte Carlo simulation with the result P10-P50-P90 are 49.4 MW, 64.3 MW and 82.4 MW respectively. This paper is the first study of resource assessment that has been estimated successfully in Kerinci geothermal Field using numerical simulation coupling with Monte carlo simulation.

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