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1
CBM RESERVOIR SIMULATION
BY JAMEEL AKBAR
H.T.No.:12H11A27BHDepartment of Petroleum Engineering
Al-Habeeb College of Engineering & Technology
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CONTENT• Coal Bed Methane (CBM)
– Introduction– Conventional v/s Unconventional Reservoir– Mechanism of gas flow– Langmuir Isotherm
• Reservoir simulation– Introduction– Comet3– Uses of Reservoir Simulation– My work
• Results• Conclusion
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Coal bed methane Introduction
• Coal Bed Methane (CBM) is the gas which is created during the formation of coal and is trapped within a coal seam by formation water.
• CBM is a form of natural gas that is trapped inside coal seams.• CBM is generated either from a biological process as a result of microbial
action or from a thermal process as a result increasing heat with depth of coal.
• The gas is stored in two ways within coal- The majority of gas is adsorbed on coal matrix. - Methane also occurs as free and dissolved gas in cleats (natural
fractures) and pores within the coal.
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• CBM is generally more than 95% methane and is often marketed as green fuel, as it contains no sulphur compounds such as hydrogen sulphide.
• Ground water is associated with the gas- The hydrostatic pressure often serves to contain most of the sorbed
gas in the coal.
• CBM is chemically identical to other sources of gas, but is produced by Unconventional methods.
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Conventional v/s Unconventional Reservoir
• Reservoir requires source rock, seal, trapping mechanism, and favorable timing of migration.
• Reservoir usually has adequate porosity and permeability.
• Reservoir acts as its own source
• Reservoir has extremely low matrix permeability
SealReservoirSeal
Source
Wet Reservoir
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Mechanism of gas flow
1. Desorption of the gas from the coal surface inside the micropores
2. Diffusion of the gas through the micropores
3. Darcy flow through the fracture network to the wellbore
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Langmuir Isotherm
• To describe the adsorption of gases on a solid
Gs= Gas storage capacity, SCF/tonP = Pressure, psiaVL = Langmuir volume constant, SCF/tonPL = Langmuir pressure constant, psiaFa = Ash content, fractionfm = Moisture content, fraction
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Diffusion of gas through micro pores
• Diffusion of gas through the micro pores of coal is described by Fick’s law
Wherec = gas concentrationt =timeD = effective diffusion coefficientr = radial distance from centre of particle
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Darcy’s flow through fractures
• Flow of gas and water in the cleat or fracture system is described by Darcy’s law.
q= -kA * (dP/dx)
WhereK= PermeabilityA= AreaP= Pressurex= Thickness of the formation
Reservoir simulation• It is an area of reservoir engineering in which computer
models are used to predict the flow of fluids (typically Oil, Gas & Water) through a porous media in order to more effectively develop and produce petroleum resources.
• The tool used in this process, a reservoir simulator, is a set of simplified equations that describes flow in reservoirs.
• The simplified equations in the simulator (material balance and Darcy’s Law) are applied to each of the many small elements of the reservoir model called grid blocks.
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Reservoir simulation
• Simulations using only one block to represent the reservoir are called tank models. Injection or production wells may be placed in these blocks corresponding to their location in the real reservoir.
• Here we are using Comet3 reservoir simulator.
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Comet -3
• COMET3 is a three-dimensional, three-component, two-phase, single, dual or triple porosity simulator for modeling gas and water production from desorption controlled reservoirs (coal and shale).
• For modeling gas and water production from coal beds, COMET3 is used as a dual porosity.
• COMET3 utilizes both Cartesian (x-y-z) and radial (r-θ-z) coordinate systems for multi-well problems.
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• The reservoir or coal bed is at a constant uniform temperature.
• A pseudo steady-state flow condition exists at all times between matrix and fractures
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• The reservoir is divided into number of grid blocks.
• Each gridblock in the simulator is assigned a set of reservoir properties, including thickness, permeability, porosity, etc.
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Data Needed for Simulation
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Uses of reservoir simulation• Better understanding and management of reservoir
• Optimization of well spacing
• Field economics
• Implementation in field development
• History matching and Production forecasting with more degree of accuracy
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My Work
A single well data of 5 coal seams was taken and studied for the CBM parameters and was simulated as per the requirements
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Input parametersDepth Seam 1: 2924.35
Seam 2: 3215.12Seam 3: 3643.69Seam 4: 4172.03Seam 5 : 4485.20
Ft
Thickness Seam 1. 20.506Seam 2. 18.213Seam 3. 59.65Seam 4. 28.992Seam 5. 22.077
Ft
Model dimensions 13x13x5
Permeability 12.7511.058.9256.8005.100
Md
Casing ID 4.9 Inch
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Porosity 0.02240.01980.01530.01250.0107
Langmuir volume 17.4728.5220.8324.0618.05
Scf/ft3
Langmuir pressure 567.7567.7567.7567.7567.7
psi
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Gas content 9.6410.2013.0816.4512.62
Scf/ft3
Reservoir temp. 120 F
Reservoir pres. 1266.0921392.1471577.7171806.4881942.091
psi
Simulation time 10950 days
skin -2.5
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Results of the Simulation
After running of simulation file we got desired parameters like Gas production rate, Water production rate. We illustrated one simulation file of 40, 80 & 120 acre of drainage area for production forecast and
following graphs are plotted accordingly
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Gas production rate
1 12 23 34 45 56 67 78 89 1001111221331441551661771881992102212322432542652762872983093203313423530
2000
4000
6000
8000
10000
12000
14000
16000
18000Gas Production Rate, M**3D Gas Production Rate, M**3D Gas Production Rate, M**3D
Time
Gas Production Rate(scf/ton)
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Water production rates at 40m3/day at drainage area 40, 80 and 120 acre
water production rate
Time in months
1 12 23 34 45 56 67 78 89 1001111221331441551661771881992102212322432542652762872983093203313423530
5
10
15
20
25
30
35
40
45
H2O Production Rate, M**3D
H2O Production Rate, M**3D
H2O Production Rate, M**3D
for 40 acre
for 80 acre
for 120 acre
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Cumulative gas production
1 11 21 31 41 51 61 71 81 91 1011111211311411511611711811912012112212312412512612712812913013113213313413510
10000000
20000000
30000000
40000000
50000000
60000000
70000000
80000000
90000000
100000000
Cum Gas Production, M**3
Cum Gas Production, M**3
Cum Gas Production, M**3 Gas production rate
(scf/ton)
Time in months
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Conclusions • The Gas peak rate of 40 acre reaches early as compared to 80 acre
followed by 120 acre. The reason behind this is that the reduction in the pressure causes the 40 acre well to achieve the early peak rate of gas production
• 120 acre well spacing the peak rate of gas will come at later stage than the other two but the cumulative gas production of that well will be greater than the other two well spacing’s.
• If the water production rate was increased , we will achieved an early peak rate of gas production but however there is a limiting factor of pumping capacity of pump which could slow down our water production rate and hence the gas production rate.
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References
1. Coal bed methane-fundamental concept- K. Aminian, Petroleum &Natural Gas Engineering department West Verginia University.
2. A Guide to Coalbed Methane Reservoir Engineering3. Smith, James T., Pressure Transient Testing: Design and Analysis, Lubbock, Texas (1987) .4. Horne, Roland N., Modern Well Test Analysis, Petroway, Inc., Palo Alto, California (1990) .5. Barrenblatt, G.E., I.P. Zheltov, and I.N. Kochina, “Basic Concepts in the Theory of Seepage
of Homogeneous Fluids in Fissured Rocks,” J. Appl. Math. Mech, 24 (5), USSR (1960).6. Warren, J.E. and P.J. Root, “Behaviour of Naturally Fractured Reservoirs,” Society of
Petroleum Engineers Journal (September, 1963).7. Mavor, M.J. and H. Cinco-Ley, “Transient Pressure behaviour of Naturally Fractured
Reservoirs,” SPE Paper 7977, presented at the 1979 California Regional Meeting of the Society of Petroleum Engineers, Ventura, California (April 18-20, 1979).
8. Perrine, R.L., “Analysis of Pressure Build-up Curves,” Drilling and Production Practices, American Petroleum Institute (1956).
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Questions?
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Thank You