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Compressor Drop temperature, Esquemas de Mecânica

Compressor Drop temperature predictive

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Prediction of temperature drop
accompanying a given pressure drop for
natural gas wellstreams
A. Bahadori and H. B. Vuthaluru
PROFESSIONAL PAPER
Accurate prediction of the temperature drop accompanying a given pressure drop for the natural gas
production systems is necessary in the effective design of natural gas production facilities. Current rigorous
compositional models depend on many variables and require information about fluid composition. In this
paper, a simple-to-use method which is easier than current available models, is presented to predict
accurately the appropriate temperature drop accompanying a given pressure drop in natural gas production
systems based on the black-oil model to get a quick approximate solution for the temperature drop of a
natural gas streams in gas production systems. Considering the results, the new developed correlation is
recommended for rapid estimation of temperature drops in gas production systems for pressures up to 45
MPa and pressure drops up to 25 MPa. The obtained results illustrate that good agreement is observed
between the reported data and the values calculated using the new developed method. The average absolute
deviation between reported data and the proposed correlation is around 4.6%. The proposed method
appears to be superior owing to its accuracy and clear numerical background, wherein the relevant
coefficients can be retuned quickly for various data.
Key words: natural gas, liquid content, temperature drop, Black-Oil model, simulation
1. Introduction
Predicting accurate temperature profiles in gas-produc-
tion systems can improve the design of production facili-
ties. As an example, temperature profiles in systems
have application in accurate two-phase flow pressure
drop prediction, gas-lift designs, and etc. If composition
of gas is available, engineers predict the temperature
drop by using a computer simulation program based on
a fully compositional equation of state (EOS) pVT formu-
lation and flash calculation. The program will perform a
flash calculation, internally balancing enthalpy. It will
calculate the temperature downstream of the choke,
which assures that the enthalpy of the mixture of gas and
liquid upstream of the choke equals the enthalpy of the
new mixture of more gas and less liquid downstream of
the choke. Otherwise, the gas production system can be
modeled with the use of a black–oil model, which is also
a tool for modeling the gas reservoir exploitation and for
calculating the resources.12 Black-oil simulators repre-
sent a high percentage of all simulation applications and
they can model immiscible flow under conditions such
that fluid properties can be treated as functions of pres-
sure.1Coats6presented radial well simulations of a gas
condensate that showed a modified black-oil pVT formu-
lation giving the same results as a fully compositional
equation of state (EOS) pVT formulation for natural de-
pletion above and below dew point. Under certain condi-
tions, he found that the modified black-oil model could
reproduce the results of compositional simulation for cy-
cling above the dew point.12,10
Fevang et al.10,11 obtained results which mostly support
the conclusions by Coats.6However, they found differ-
ences in oil recoveries predicted by compositional and
modified black oil (MBO) models when the reservoir is a
very rich gas condensate and has increasing permeability
downwards.12 According to their final conclusions, a
black oil simulator may be adequate where the effect of
gravity is negligible, and for gas injection studies black oil
model can only be used for lean to medium-rich gas con-
densate reservoirs undergoing cycling above dew point.12
El-banbi and McCain7,8 suggested that modified black oil
(MBO) approach could be used regardless of the com-
plexity of the fluid. Their paper presented the results of a
full field simulation study for a rich gas condensate res-
ervoir. The modified black oil (MBO) model performance
was compared with the performance of a compositional
model in the presence of water influx and also a field
wide history match study was conducted for above and
below the dew point.7,8 Their paper presents an accurate
match of average reservoir pressure and water produc-
tion rates. They also mentioned contrary to the common
belief, the modified black oil (MBO) approach proves to
be sufficient for modelling gas condensate behaviour be-
low the dew point and using the modified black oil (MBO)
approach, instead of a fully compositional approach,
may result in significant time saving especially in
full-field simulation studies.7
El-Banbi et al.9presented the set of correlations to gen-
erate modified black-oil pVT properties without the need
for fluid samples or elaborate procedure for equation of
states (EOS) calculations.
Choking, or expansion of gas from a high pressure to a
lower pressure, is generally required for control of gas
well flow rates. Choking is achieved by the use of a choke
or a control valve.1The pressure drop causes a decrease
NAFTA61 (7-8) 347-351 (2010) 347
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Prediction of temperature drop

accompanying a given pressure drop for

natural gas wellstreams

A. Bahadori and H. B. Vuthaluru

PROFESSIONAL PAPER Accurate prediction of the temperature drop accompanying a given pressure drop for the natural gas production systems is necessary in the effective design of natural gas production facilities. Current rigorous compositional models depend on many variables and require information about fluid composition. In this paper, a simple-to-use method which is easier than current available models, is presented to predict accurately the appropriate temperature drop accompanying a given pressure drop in natural gas production systems based on the black-oil model to get a quick approximate solution for the temperature drop of a natural gas streams in gas production systems. Considering the results, the new developed correlation is recommended for rapid estimation of temperature drops in gas production systems for pressures up to 45 MPa and pressure drops up to 25 MPa. The obtained results illustrate that good agreement is observed between the reported data and the values calculated using the new developed method. The average absolute deviation between reported data and the proposed correlation is around 4.6%. The proposed method appears to be superior owing to its accuracy and clear numerical background, wherein the relevant coefficients can be retuned quickly for various data.

Key words: natural gas, liquid content, temperature drop, Black-Oil model, simulation

1. Introduction

Predicting accurate temperature profiles in gas-produc- tion systems can improve the design of production facili- ties. As an example, temperature profiles in systems have application in accurate two-phase flow pressure drop prediction, gas-lift designs, and etc. If composition of gas is available, engineers predict the temperature drop by using a computer simulation program based on a fully compositional equation of state (EOS) pVT formu- lation and flash calculation. The program will perform a flash calculation, internally balancing enthalpy. It will calculate the temperature downstream of the choke, which assures that the enthalpy of the mixture of gas and liquid upstream of the choke equals the enthalpy of the new mixture of more gas and less liquid downstream of the choke. Otherwise, the gas production system can be modeled with the use of a black–oil model, which is also a tool for modeling the gas reservoir exploitation and for calculating the resources. 12 Black-oil simulators repre- sent a high percentage of all simulation applications and they can model immiscible flow under conditions such that fluid properties can be treated as functions of pres- sure. 1 Coats^6 presented radial well simulations of a gas condensate that showed a modified black-oil pVT formu- lation giving the same results as a fully compositional equation of state (EOS) pVT formulation for natural de- pletion above and below dew point. Under certain condi- tions, he found that the modified black-oil model could reproduce the results of compositional simulation for cy- cling above the dew point. 12,

Fevang et al.10,11^ obtained results which mostly support the conclusions by Coats.^6 However, they found differ-

ences in oil recoveries predicted by compositional and modified black oil (MBO) models when the reservoir is a very rich gas condensate and has increasing permeability downwards.^12 According to their final conclusions, a black oil simulator may be adequate where the effect of gravity is negligible, and for gas injection studies black oil model can only be used for lean to medium-rich gas con- densate reservoirs undergoing cycling above dew point.^12 El-banbi and McCain7,8^ suggested that modified black oil (MBO) approach could be used regardless of the com- plexity of the fluid. Their paper presented the results of a full field simulation study for a rich gas condensate res- ervoir. The modified black oil (MBO) model performance was compared with the performance of a compositional model in the presence of water influx and also a field wide history match study was conducted for above and below the dew point.7,8^ Their paper presents an accurate match of average reservoir pressure and water produc- tion rates. They also mentioned contrary to the common belief, the modified black oil (MBO) approach proves to be sufficient for modelling gas condensate behaviour be- low the dew point and using the modified black oil (MBO) approach, instead of a fully compositional approach, may result in significant time saving especially in full-field simulation studies.^7 El-Banbi et al.^9 presented the set of correlations to gen- erate modified black-oil pVT properties without the need for fluid samples or elaborate procedure for equation of states (EOS) calculations. Choking, or expansion of gas from a high pressure to a lower pressure, is generally required for control of gas well flow rates. Choking is achieved by the use of a choke or a control valve. 1 The pressure drop causes a decrease

in the gas temperature, thus hydrates can form at the choke or control valve. For a single component fluid, such as methane, a Mollier diagram can be used to calcu- late temperature drop directly. However, natural gas is not a single component and a Mollier diagram will proba- bly not be available.^1

For black oil models and when composition of natural gas is not available, It is an essential to develop a simple correlation to predict accurately the appropriate temper- ature drop in natural gas production systems based on the black-oil model to get a quick approximate solution for the temperature drop of a natural gas streams. Ac- cording to our knowledge, there is no correlation in the petroleum literature for the black-oil model to estimate temperature drop accompanying a given pressure drop for natural gas production streams. This paper de- scribes a simple-to-use method for accurate prediction of temperature drop in the natural gas production systems for black-oil models.

2. Developing Simple Correlation

The required data to develop this correlation includes the reported from reference 8 (which are based on Gas Processors and Suppliers Association, Engineering Data Book, 9th^ edition, Tulsa, OK, 1972) for the temperature drop accompanying a given pressure drop at various ini- tial (up stream ) pressures and for wide range of gas well streams liquid content. 1 In this work a simple correlation is developed to estimate the appropriate temperature drop in natural gas production wells based on the black-oil model as a function of gas initial pressure, gas pressure drop and gas liquid contents. The following methodology has been applied to develop this correla- tion: Firstly, the appropriate temperature drop in natural gas production systems are correlated as a function of

initial ( upstream) pressure of gas stream for different pressure drops. Then, the calculated coefficients for these polynomials are correlated as a function of pres- sure drop. The derived polynomials are applied to calcu- late new coefficients for equation (1) to predict the appropriate temperature drop in natural gas production systems. Table 1 shows the tuned coefficients for equations (2) to (5).

In brief, the following steps are repeated to tune the cor- relation's coefficients.

  1. Correlate the appropriate temperature drop in natural gas production systems as a function of initial pressure ( p (^) i ) for a given pressure drop (D p ).
  2. Repeat step 1 for other pressure drops (D p ).
  3. Correlate corresponding polynomial coefficients, which are obtained in previous steps versus pressure drop, a = f(D p ), b = f(D p ), c = f(D p ), d = f(D p ) [see equations (2)-(5)]. Equations (1) to (5) represent the new developed corre- lation in which four coefficients are used to correlate the temperature drop as a function of initial (upstream) pressure in MPa and the given pressure drop in MPa, where the relevant tuned coefficients have been reported in table 1, these tuned coefficients help to predict the temperature drop accompanying a given pressure drop for the natural gas well-stream for pressures up to 45 MPa and pressure drops up to 25 MPa. Those tuned coef- ficients can be retuned quickly if more data are available in the future according to the above-mentioned procedure.

ln(D T (^) i ) = a+bp +c (^) p^2 +dp^3 (1)

where:

a=A 1 +B 1 (D p ) +C 1 (D p )+ D 1 (D p ) 3 (2)

b=A 2 +B 2 (D p ) + C 2 (D p )+ D 2 (D p ) 3 (3)

c=A 3 +B 3 (D p ) + C 3 (D p )+ D 3 (D p ) 3 (4)

d=A 4 +B 4 (D p ) + C 4 (D p )+ D 4 (D p ) 3 (5)

This method is based on a liquid content of 112.3 m 3 /million m 3. For each increment of 56 m 3 /million m 3 , there is a correction of 2.77 °C in temperature drop. For example, if there is no liquid, the final temperature is 5.54 °C cooler (the temperature drop is 5.54 °C more) than indicated by equation (1). Equation (6) is applied to correct temperature drop based on the liquid content of the gas ( L , m 3 / million m 3 ), where the final gas tempera-

A. BAHADORI AND H. B. VUTHALURU PREDICTION OF TEMPERATURE DROP ACCOMPANYING...

Coefficient Pressure drop less than 13800kPa Pressure drop more than13 800 kPa

A 1 1.040 719 991 7 9.362 950 815 33 B 1 5.863 426 642 58 x 10-1^ -6.939 607 862 509 x 10- C 1 -6.342 086 209 79 x 10-2^ -2.382 350 807 x 10- D 1 2.814 825 604 12 x 10-3^ 1.707 747 521 64 x 10- A 2 2.430 764 529 804 x 10-3^ -1.0182 981 741 4 B 2 3.069 694 101 171 x 10-2^ 1.677 279 709 66 x 10- C 2 -2.701 623 402 13 x 10-3^ -6.403 523 610 97 x 10- D 2 2.322 543 561 003 x 10-5^ -1.349 784 156 13 x 10- A 3 -4.474 832 714 94 x 10-3^ 3.407 062 549 01 x 10- B 3 -1.218 162 552 3 x 10-3^ -6.307 680 717 04 x 10- C 3 1.731 754 226 62 x 10-4^ 2.974 089 458 302 x 10- D 3 -4.277 312 720 08 x 10-6^ -2.195 720 171 01 x 10- A 4 1.155 971 384 07 x 10-4^ -3.50 210 682 437 8 x 10- B 4 -8.871 530 681 92 x 10-6^ 5.983 899 386 423 x 10- C 4 -1.032 600 663 99 x 10-7^ -2.950 536 870 498 x 10- D 4 -7.938 290 866 22 x 10-9^ 2.757 769 149 12 x 10-

Table 1. Tuned coefficients used in Equations (2) to (5)

Coefficient Value a -5.555 968 253 968 b 4.943 879 595 915 x 10- g 8.171 231 318 052 x 10- q -2.610 407 344 111 x 10-

Table 2. Tuned coefficients for equation (6)

c =-0.006 9 [from equation (4)]

d =0.0000 765 36 [from equation (5)]

D T (^) i =13.22 °C [from equation (1)]

Now, we correct temperature drop by equations (6) and (7) for liquid content of 240 cubic meters per million standard cubic meters: From equation (6):

D T (^) correction =6.31 °C

From equation (7):

D T = D Ti + D Tcorrection =13.22+6.31=19.53 °C

This is classic example showing how the information evolving out of this correla- tion can be used to predict the tempera- ture drop accompanying a given pressure drop for the natural gas production sys- tems.

4. Conclusions

In the present work, a simple-to-use cor- relation is developed to predict natural gas temperature drops at a given pres- sure drop in gas production systems. The new proposed correlation is based on the black-oil model, which is simpler than current available models that involve a large number of parameters and require more complicated and longer computa- tions. Considering the results, the new developed correlation is recommended for rapid estimation of wellbore tempera- ture drops in gas production systems for pressures up to 45 MPa and pressure drops up to 25 MPa. This Simple-to-use approach can be of immense practical value for the gas reservoir and production engineers to have a quick check on wellbore temperature drops in gas pro- duction systems at various conditions. In particular, personnel dealing with regula- tory bodies of natural gas production would find the proposed approach to be user friendly involving no complex ex- pressions with transparent calculations. The correlation proposed in the present work is simple and unique expression which is non-existent in the literature. This is expected to benefit and making de- sign decisions which could lead to in- formed decisions on the temperature drop in black-oil model.

Acknowledgements

The author acknowledges the Austra- lian Department of Education, Science and Training for Endeavour International Postgraduate Research Scholarship (EIPRS), the Office of Research & Devel- opment at Curtin University of Technology, Perth, West- ern Australia for providing Curtin University Postgraduate Research Scholarship and the State Gov- ernment of Western Australia for providing top up schol-

A. BAHADORI AND H. B. VUTHALURU PREDICTION OF TEMPERATURE DROP ACCOMPANYING...

Fig. 3. Temperature drop correction factor as a function of liquid content of natural gases Sl. 3. Faktor korekcije pada temperature kao funkcija sadraja kapljevine prirodnog plina

Fig. 4. Correlation performance for prediction of temperature drop as a function of initial pressure and pressure drop at liquid content of 112. cubic meters per million standard cubic meters (low pressure drop range). Color bar shows the temperature drop. Sl. 4. Rezultat korelacije u predviðanju pada temperature kao funkcije poèetnog tlaka i pada tlaka kod sadraja kapljevine od 112,3 m^3 na milijun m 3 prirodnog plina (opseg pada niskog tlaka). Crta u boji pokazuje pad temperature.

arship through the Western Australian Energy Research Alliance ( WA:ERA).

Nomenclature:

Dpi initial pressure in MPa Dp pressure drop in MPa DT temperature drop, °C at various liquid contents DT temperature drop for liquid content of 112.3 m^3 / million m^3 , °C DT (^) correction Correction for temperature drop in other liquid contents of gas, °C L Liquid content of gas, m^3 /million m 3

i Index for initial pressure ( upstream pressure)

References

  1. Arnold, K. and Stewart, M. Surface Production Opera- tions (2 nd^ Edition) Volume 2 - Design of Gas-Handling Systems and Facilities.Chapter 4. Elsevier, 1999.
  2. Bahadori, A.and Vuthaluru H. B. (2009) International Journal of Pressure Vessels and Piping, 86 (2009) 550-554.
  3. Bahadori, A. and al., Chemical Engineering & Technol- ogy 31 (12)(2008) 1743-1747.
  4. Bahadori, A. et al., International Journal of Greenhouse Gas Control 3 (4) (2009) 474–
  5. Civan, F., , Chemical Engineering Progress 104 (7) (2008) 46-52.
  6. Coats, K. H. , Journal of Petroleum Technology, 5, 1870.,
  7. El-Banbi, A. H. and McCain, W.D” Producing Rich- Gas-Condensate Reservoirs—Case History and Com- parison Between Compositional and Modified Black-Oil Approaches” Paper SPE 58988 presented at the 2000 SPE International Petroleum Conference and Exhibi- tion in Mexico, , Villahermosa, Mexico, 1-3 February
  8. El-Banbi, A. H. and McCain, W.D., “Investigation of Well Productivity in Gas-Condensate Reservoirs” Paper SPE 59773 presented at the 2000 SPE/CERI Gas Tech- nology Symposium, Calgary, Alberta, Canada, 3-5 April,
  9. A.H. El-Banbi, K.A. Fattah and M.H. Sayyouh,”New Modified Black-Oil Correlations for Gas Condensate and Volatile Oil Fluids” SPE Annual Technical Confer- ence and Exhibition, San Antonio, Texas, USA. 24- September 2006.
  10. Fevang, O. and Whitson C. H.: “Modeling Gas Conden- sate Deliverability” Paper SPE 30714 presented at the SPE Annual Technical Conference and Exhibition, Dal- las, Texas, 22-25 October, 1995.
  11. Fevang, O., Singh, K., and Whitson C. H.: “Guidelines for Choosing Compositional and Balck-oil Models for Volatile Oil and Gas Condensate Reservoirs” Paper SPE 63087, presented at the 2000 International Conference and Exhibition Dallas, Texas, USA, 1-4-October, 2000.
  12. Izgec, B., and Barrufet, M.A., “Performance Analysis of Compositional and Modified Black-Oil Models for a Rich Gas Condensate Reservoir”, Society of Petroleum Engineers, SPE 93374, Offshore Europe, 6-9 Septem- ber, Aberdeen, Scotland, 2005.

v Authors: Alireza Bahadori , Department of Chemical Engineering, Curtin University of Technology, GPO Box U1987 Perth, Western Australia, 6845. Phone: +61 8 9266 1782, Fax: +61 8 9266 2681, email: alireza.bahadori@postgrad.curtin.edu.au Hari B. Vuthaluru , Deprtment of Chemical Engineering, Curtin University of Technology, Perth, Australia

PREDICTION OF TEMPERATURE DROP ACCOMPANYING... A. BAHADORI AND H. B. VUTHALURU

Fig. 5. Correlation performance for prediction of temperature drop as a function of initial pressure and pressure drop at liquid content of 112. cubic meters per million standard cubic meters (high pressure drop range). Color bar shows the temperature drop Sl. 5. Rezultat korelacije u predviðanju pada temperature kao funkcije poèetnog tlaka i pada tlaka kod sadraja kapljevine od 112,3 m^3 na milijun m 3 prirodnog plina (opseg pada visokog tlaka). Crta u boji pokazuje pad temperature

Upstream pressure, MPa

Pressure drop, MPa

Reported temperature drop, °C 1

Calculated temperature drop, °C

Ansolute deviation percent

3.448 3 1.379 3 5.555 6 6.097 8. 27.586 2.758 6 2.777 8 2.583 7. 20.69 4.137 9 8.333 3 8.005 3. 10.345 5.517 2 21.666 7 23.165 5 6. 24.138 13.793 28.888 8 29.586 2. 27.586 2 17.241 38 32.222 2 31.508 2. 41.379 20.689 12.222 2 12.082 4 1. 41.379 27.586 27.777 7 26.817 2 3. Average absolute deviation percent 4.

Table 3. Accuracy of proposed method