Val_006 Well Geothermal - U-Shaped Closed-Loop Well System

Overview

 

In this heat transfer example, wellbore heat transmission in injection and production wells and the surrounding rock will be simulated in ParaGeo using a closed-loop well system and benchmarked against the Stanford geothermal closed-loop calculator pangea.stanford.edu/ERE/db/Roland/ClosedLoop/index.php [ref 1] which is based on the Ramey equation [ref 2]. A direct comparison of results will also be made with the ParaGeo-Ramey [ref 2] and Hasan models [ref 3].

 

Note that in ParaGeo the Ramey and Hasan models are applicable only to "casing" or "shut" well status, i.e. no leak-off.

 

 

Val_006_001

 

 

 

Schematic of Geothermal Closed-Loop Well System [ref 1]

 

 

 

Problem Description

 

The simulation example comprises a U-shaped injector and producer well system (L1600m x D2500m) in a rock model domain with dimensions L2500m X W500m x D3500m as shown below. To optimize modelling of heat transfer between the rock domain and well, similar sized elements are used for the rock and well.  The rock is discretised using 128,000 hexahedral elements with element size c.a. 33m and the well elements using 133 points with element size of 50m.  The rock formation is prescribed temperatures of 25°C at the top and 156.25°C at the base of the model, i.e. geothermal gradient of 0.0375°C/m.  Fluid at 15°C is injected into the well of radius 0.15m at a rate of 0.03m3/s (equivalent to 30kg/s).

 

 

Val_006_002

 

 

Simulation model

 

 

 

Other key model parameters are shown in the table below:

 

U-shaped Well

Reservoir Properties

Rock/Fluid Properties

Well radius (m)

0.15

Surface temperature (°C)

 25  

Grain conductivity (W/m/K)

 2.5  

Injection fluid flow rate (m3/s)

 

0.03

 

Base temperature (°C)

156.25  

Fluid heat capacity (J/kg/K)

 4180  

i.e. Injection flow rate (kg/s)

30

Geothermal gradient (°C/m)

 0.0375  

Fluid density (kg/m3)

 1000  

Injection fluid temperature  (°C)

15

i.e. Well downhole temperature at depth of 2500m (°C)

118.75  

(Grain) Thermal diffusivity (m2/s)

 1.3587E-06  

 

Simulation

 

The data files for the example are in folder: ParaGeo Examples\Validation\Val_006\Data:

Val_006a.dat - Ramey model

Val_006b.dat - Hasan model (only change in data file is "Model_1" setting for Radial_heat_model keyword in Well_definition data structure set to "Model_2".

 

Note that the model time unit in this example is defined in "seconds", thus the thermal units and thermal input data can be defined as W/m/K for the conductivity and J/kg/K for the specific heat capacity.  If other model time units are used, the thermal input data must be manually scaled to the model time units defined for the example (refer Ex_007 Case01). Parageo does not automatically scale the thermal units to the model time units.

 

The simulation is performed in two stages:

Stage 1: Initialize temperature in the rock with surface temperature of 25 °C and base temperature of 156.25 °C, i.e. thermal gradient of 0.0375 °C/m.

oThe initial rock temperature must be established prior to activation of the well elements since the well elements will adopt the surrounding rock temperature as its initial temperature.

 

Stage 2: Define well element data and perform heat transfer between rock and injected well fluid over 3000 days (i.e. 2.59E8 seconds) of injection and production.

 

 

Well Data

The well data is defined by the Well_definition and Well_completion data structures.

Data File

 

 

* Well_definition           NUM=1

! ---------------------------------

 Name                    "U-Well"

 Well_path         IDM=3 JDM=133                

   250        450        3500

   250        450        3450

   250        450        3400

   ....

   250        2050        3500          

 Completion                    1

 Well_type             "U_shaped"

 Surface_temperature          15

 Injection_rate             0.03   ! m^3/s i.e. 30kg/s

 Singlephase_fluid_name   "Water"

 Status                  "casing"

 Heat_model            "Constant"

 Radial_heat_model      "Model_1" ! Ramey model

 History_summ_frequency        1

 

 

 

 

 

 

 

* Well_completion           NUM=1

! ---------------------------------

 Radius                     0.15

 Overall_heat_coefficient    1E8

 

 

1Well_definition data structure defines the modelling parameters for the well:

a.Well_path defines the coordinates for the 133 points representing the well geometry from injection entry to production exit.

b.Well_type keyword defines the well type as "U_shaped".

c.Completion defines the well completion ID number as 1.

d.Surface_temperature defines the temperature at the top of the injector as 15 °C.

e.Injection_rate defines the volume rate of the injected fluid as 0.03 m3/s.

f.Singlephase_fluid_name specified as "Water" is the name of the fluid defined in the Fluid_properties data structure.

g.Status defines the well status for every segment of the well as "casing".

h.Heat_model defines the thermal properties on the well as "Constant", i.e. with constant heat transfer coefficient which is specified in the Well_completion data.

i.Radial_heat_model defined as "Model_1" utilizes the Ramey equation and the far-field temperature as the background rock temperature distribution. In this example, the far-field temperature is the initial temperature of the rock formation.

j.History_summ_frequency set to 1 outputs well summary history data at every analysis step.

 

2Well_completion data structure defines the data relevant to the well completion itself:

a.Radius keyword defines the well radius as 0.15m.  For Heat_model set to "Constant", this radius is the outer radius of the well.

b.Overall_heat_coefficient defines the heat transfer coefficient on the outer surface of the well which is set artificially high at 1E8 W/m2K to reduce the thermal resistance for heat transfer between the rock and well fluid.  Note that this keyword is applicable only for Heat_model set to "Constant" otherwise the heat transfer coefficient will be automatically calculated by ParaGeo depending on the parameters defined for the well completion.  

 

Notes: The Stanford geothermal closed-loop calculator [ref 1] assumes no thermal resistance for heat transfer.

 

 

Results

 

The results files for the example are in folder: ParaGeo Examples\Validation\Val_006\Results.

 

The initial temperature distribution in the rock domain with surface temperature of 25 °C and base temperature of 156.25 °C, as shown in the plot below, serves as the background initial temperature in the well.

 

Val_006_003

Initial temperature distribution in rock domain (mid-slice plot in X-X)

 

 

The graphical production temperature vs time plot below shows the results of ParaGeo using both the Ramey model and Hasan model compared (benchmarked) against the Stanford calculator (which utilizes the Ramey equation).  The ParaGeo-Ramey and Hasan models are almost identical and these show very good correlation with the Stanford calculator results.

 

Val_006_004

Comparison plot between ParaGeo and Stanford Calculator

 

 

As the ParaGeo-Ramey and Hasan results are almost identical, only the ParaGeo-Ramey contour plot results are shown. The mid-slice X-X plots below, overlaid with the isosurface temperature contours, show the evolution of temperature distribution in the rock and well over the 3000 days of injection/production. Observed around the well, the isothermal contours curve downwards, indicating that the well functions as a heat sink. These downward curvatures are more pronounced at greater depths due to the increased temperature gradient between the well fluid and the rock formation.

 

Val_006_005

Evolution of temperature distribution (overlaid with isosurface contours) in the rock and well over 3000 days of injection/production (mid-slice plot in X-X)

 

References

 

[1] pangea.stanford.edu/ERE/db/Roland/ClosedLoop/index.php.

[2] Ramey, H.J. Jr., 1962. Wellbore Heat Transmission. SPE, 96.

[3] Hasan, A.R. and Kabir, S., 2012. Wellbore heat-transfer modeling and applications. Journal of Petroleum Science and Engineering.