Faktor Pengeboran Sumur Make Up
Faktor Pengeboran Sumur Make Up
Environmental Science
Abstract. After commissioning of a power plant, geothermal reservoir will encounter pressure
decline, which will affect wells productivity. Therefore, further drilling is carried out to enhance
steam production. Make-up wells are production wells drilled inside an already confirmed
reservoir to maintain steam production in a certain level. Based on Sanyal (2004), geothermal
power cost consists of three components, those are capital cost, O&M cost and make-up drilling
cost. The make-up drilling cost component is a major part of power cost which will give big
influence in a whole economical value of the project.
The objective of this paper it to analyse the make-up wells drilling cost component in financial
model of a geothermal power project. The research will calculate make-up wells requirements,
drilling costs as a function of time and how they influence the financial model and affect the
power cost. The best scenario in determining make-up wells strategy in relation with the project
financial model would be the result of this research.
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Published under licence by IOP Publishing Ltd 1
6th ITB International Geothermal Workshop (IIGW2017) IOP Publishing
IOP Conf. Series: Earth and Environmental Science1234567890
103 (2018) 012010 doi:10.1088/1755-1315/103/1/012010
Start
· Well Data,
· Surface Facility,
· Plant Capacity,
Calculate Required
Steam Supply
Assumptions:
· Inflation,
· Depreciation,
· Success Ratio
· Decline Rate
Lifetime Project,
Drilling Campaign
NO
Financial Model
NPV > 0
IRR > 16%
YES
Finish
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6th ITB International Geothermal Workshop (IIGW2017) IOP Publishing
IOP Conf. Series: Earth and Environmental Science1234567890
103 (2018) 012010 doi:10.1088/1755-1315/103/1/012010
Data collection is the first step done from this research. The required data is:
1. Well data retrieved from exploration and production wells
2. Surface facilities data, that include separator pressure, turbine characteristics and other surface
facilities components
Those data is required to determine required minimum steam supply to generate total capacity of 55
MW and accommodate 10% of excess steam supply and to calculate required number of production
wells. Then the data is used to calculate required number of make-up wells. The number of make-up
wells and its drilling cost then put into a geothermal financial model.
The financial model will calculate make-up well cost together with other parameters, including
exploration, well drilling, O&M and other costs, as well as revenue, tax, interest and all parameters that
built the model. The model then will used to evaluate value of the project using some financial
parameters as NPV (Net Present Value), IRR (Internal Rate of Return) and PBP (Payback Period).
This research will study make-up wells cost as one of component in a financial model. Evaluation
of the project with NPV, IRR and PI calculation would be done only to describe variation of those
financial indicators related with different strategy in make-up wells drilling. Calculation will be done
using basic financial model with expected result NPV > 0 and IRR > 16%. The IRR number is retrieved
from Abadi Purnomo (2007) stated that ideal IRR of a geothermal project is 16%.
Table 1. Parameters of the field and calculation of number of wells required as production
wells in the beginning of the project.
No. Parameter Value Simbol
1 Plant Capacity 55 MWe
2 Lifetime project 30 year
3 Turbin Input Pressure 6.5 bar
4 Turbin Efficiency 85% Ƞt
5 Steam flow rate 371 ton/h
6 Specific steam consumption 6.7 ton/h/MW
7 Average well production rate 20 kg/s
8 Steam fraction in well 90%
9 Steam flow rate from a well 18 kg/s
10 Total mass flow rate (required) 114.6 kg/s
11 Well drilling success ratio 80%
12 Average well capacity 9.6 MW
13 Required production wells 8 unit
Make-up wells calculation parameters
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6th ITB International Geothermal Workshop (IIGW2017) IOP Publishing
IOP Conf. Series: Earth and Environmental Science1234567890
103 (2018) 012010 doi:10.1088/1755-1315/103/1/012010
Some parameters in table 1 determined based on data on synthetic field in a steam dominated
geothermal field in Indonesia. Some others are calculated based on previous data. Calculation in this
paper use specific steam consumption 6.7 ton/hour/MW and plant capacity 55 MW. Based on the
calculation, the requirement of productions wells that have to be drilled in the beginning of the project
is 8 wells with each well have flow rate 20 kg/s or able to produce 9.6 MW in average. It means that the
geothermal plant need steam supply similar to 114.6 kg/s to be able to produce 55 MW in electricity.
The requirement is fulfilled by drilling 8 production wells with flow rate 18 kg/s and turbine efficiency
85%, or capacity 9.6 MW/well.
At initial production, there are 8 production wells that produce steam to fulfil plant
requirements. Concomitant with time, the field will have production decline due to lowering pressure,
scaling or other factor and the production will decline. Then the make-up wells need to be drilled to
fulfil steam production requirement.
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6th ITB International Geothermal Workshop (IIGW2017) IOP Publishing
IOP Conf. Series: Earth and Environmental Science1234567890
103 (2018) 012010 doi:10.1088/1755-1315/103/1/012010
Figure 2 contains make-up wells strategy for the whole 30 years of project. The field needs 8
make-up wells to maintain production level. Those wells need to be drilled in two drilling campaigns,
four wells each, considering the 80% success ratio. The drilling time would be in year 8 (2029) and year
25 (2046) with assumption that the project start in 2017 (for exploration and feasibility stage) and
electricity production start in 2021.
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6th ITB International Geothermal Workshop (IIGW2017) IOP Publishing
IOP Conf. Series: Earth and Environmental Science1234567890
103 (2018) 012010 doi:10.1088/1755-1315/103/1/012010
A financial model is anything that is used to calculate, forecast or estimate financial numbers.
A valuable financial model integrates accurately all the costs throughout all phases of development and
presents the resulting information in a manner to help various users make the appropriate decision
(Ngugi, 2014). One of the objectives of this paper is to provide analysis on technical aspect of a
geothermal project, focusing on make-up wells cost to apply in a proper financial model of the project.
The research will not focus on detailed data on specific process and determined cost in a
financial model, yet it will explain about how to put the make-up well cost properly in the structure of
general geothermal financial model.
The make-well costs are included in a geothermal financial model in some statements as:
· Operating expenses in Cash Flow Statements, that encompass all cost directly and indirectly
associated with the generation of the sold energy
· Depreciation expenses, because the make-up well cost is applied depreciation with a straight
line or fixed percentage deduction or other depreciation method applied
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6th ITB International Geothermal Workshop (IIGW2017) IOP Publishing
IOP Conf. Series: Earth and Environmental Science1234567890
103 (2018) 012010 doi:10.1088/1755-1315/103/1/012010
With r is internal rate of return (IRR), C0 is initial investment, Ct is cash flow in Year t and n is
period of investment in year. Positive NPV indicate that the present value of cash flow is more than
initial investment. Investor would need positive NPV that represent they have benefit from their
investment.
With CFt is cash flow at year t. The IRR is expected rate of return of the project that can be used to
forecast margin. When the IRR is larger than the cost of capital, the project will generate a positive
margin for the shareholder. Therefore a project with IRR greater than the cost of capital will increase
the project worth.
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6th ITB International Geothermal Workshop (IIGW2017) IOP Publishing
IOP Conf. Series: Earth and Environmental Science1234567890
103 (2018) 012010 doi:10.1088/1755-1315/103/1/012010
8.1. Scenario 1
Based on figure 2, total make-up wells = 8 wells (4 wells in 2029 and 4 wells in 2046), total make-up
well cost = USD 98.3 Million (APPENDIX A).
8.2. Scenario 2
Based on scenario 2 in figure 3, total make-up wells = 8 wells, all drilled in 2029, total make-up well
cost = USD 77.97 Million (APPENDIX B).
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6th ITB International Geothermal Workshop (IIGW2017) IOP Publishing
IOP Conf. Series: Earth and Environmental Science1234567890
103 (2018) 012010 doi:10.1088/1755-1315/103/1/012010
8.3. Strategy 3
Based on scenario 3 in figure 4, total make-up wells = 8 wells (4 wells in 2029 and 4 wells in 2038),
total make-up well cost = USD 87.68 Million (APPENDIX C).
8.4. Strategy 4
Based on scenario 4 in figure 5, total make-up wells = 6 wells (3 wells in 2029 and 4 wells in 2042),
total make-up well cost = USD 69.55 Million (APPENDIX D).
Using scenario 1, 2, 3 and 4, financial indicators of the project are description in table 2.
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6th ITB International Geothermal Workshop (IIGW2017) IOP Publishing
IOP Conf. Series: Earth and Environmental Science1234567890
103 (2018) 012010 doi:10.1088/1755-1315/103/1/012010
Based on calculation that had been done using financial model for 4 different make-up wells drilling
strategies, there are some conclusions as:
· Different strategies in drilling make-up wells will require different cost
· Different time of drilling and number of make-up wells drilled will affect NPV and IRR of the
project, but not significant
· Degree of IRR difference is between 0.1 to 6% or 0.16 to 1.2 point for average IRR Project
17.3%
· Amount of NPV difference is between 2.7 to 6% or USD 2 to 5 Million for average NPV project
USD 73.75 Million
· The Payback Period is similar for all strategies
10. Conclusion
From this study, there are some points that need to be considered in calculating make-up wells
requirement in a geothermal project and development. Calculations make-up well was not only based
on required power plant and decline rate, but also financial factors of the developer and drilling vendor
into the calculations that the optimum strategy. All calculation in those scenarios using electricity price
USD 12 ¢/kWh
• The best IRR (17.76%) is obtained with make-up wells strategy that used fewest make-up wells
• The best NPV USD 98.32 Million is obtained with make-up wells strategy that used 8 wells in
2 drilling
Based on technical requirement, the make-up wells strategy could vary as long as the steam
production not below the minimal production level. Then applying a make-up wells strategy should
consider not only technical requirement, but also the financial consideration.
Suggestion for further work is to develop more accurate model to find the most optimum strategy
of make-up wells scenario in a geothermal field.
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6th ITB International Geothermal Workshop (IIGW2017) IOP Publishing
IOP Conf. Series: Earth and Environmental Science1234567890
103 (2018) 012010 doi:10.1088/1755-1315/103/1/012010
11. References
[1] Randle, James B. (2005), "Financial Modelling of Geothermal Project,” Proceeding World
Geothermal Congress, Antalya, Turki
[2] Lovekin, James W. (1998), "Sustainable Geothermal Power: The Life Cycle of a Geothermal
Field,” Geothermal Resource Council Transaction, Vol. 22
[3] Miller, Richard J. (1982), "The Influence of Declines Rates and Pressure Interference Effects of
the Economic Viability of Vapor-Phase Geothermal Reservoir Development,” New Zealand
Geothermal Workshop
[4] Sanyal, Subir K. (2004), "Cost of Geothermal Power and Factors that Affect it,” Proceeding
Twenty-Ninth Workshop on Geothermal Reservoir Engineering, Stanford University,
California
[5] Sanyal, Subir K. and Morrow, James W. (2004), "An Investigation of Drilling Success in
Geothermal Exploration, Development and Operation,” GRC Transaction, Vol. 35
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6th ITB International Geothermal Workshop (IIGW2017) IOP Publishing
IOP Conf. Series: Earth and Environmental Science1234567890
103 (2018) 012010 doi:10.1088/1755-1315/103/1/012010
APPENDIX A. Calculation of required time, which is anticipated that additional make-up wells
drilling is required and make-up well (Scenario 1)
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6th ITB International Geothermal Workshop (IIGW2017) IOP Publishing
IOP Conf. Series: Earth and Environmental Science1234567890
103 (2018) 012010 doi:10.1088/1755-1315/103/1/012010
APPENDIX B. Calculation of required time, which is anticipated that additional make-up wells
drilling is required and make-up well (Scenario 2)
Well Available Additional Available
Production Required Make Up Well
Capacity before make Make-up After Make-
Year (MW) Cost (USD)
(MW) up (MW) Wells up (MW)
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6th ITB International Geothermal Workshop (IIGW2017) IOP Publishing
IOP Conf. Series: Earth and Environmental Science1234567890
103 (2018) 012010 doi:10.1088/1755-1315/103/1/012010
APPENDIX C. Calculation of required time, which is anticipated that additional make-up wells
drilling is required and make-up well (Scenario 3)
Available
Well Additional Available After
Production Required before Make Up Well
Capacity Make-up Make-up
Year (MW) make up Cost (USD)
(MW) Wells (MW)
(MW)
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6th ITB International Geothermal Workshop (IIGW2017) IOP Publishing
IOP Conf. Series: Earth and Environmental Science1234567890
103 (2018) 012010 doi:10.1088/1755-1315/103/1/012010
APPENDIX D. Calculation of required time, which is anticipated that additional make-up wells
drilling is required and make-up well (Scenario 4)
Available
Well Additional Available After
Production Required before Make Up Well
Capacity Make-up Make-up
Year (MW) make up Cost (USD)
(MW) Wells (MW)
(MW)
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