DEVELOPMENT OF SURFACE FACILITIES DESIGN PRINCIPAL IN GAS CONDENSATE RESERVOIR AS A FUNCTION OF RESERVOIR PROPERTIES VARIATION DISTRIBUTION
This study was conducted in order to know the effect of changing reservoir properties distribution, in term of porosity and permeability to surface facilities <br /> <br /> <br /> design. Statistic method was used to distribute reservoir properties by changing standard devi...
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id-itb.:242112017-09-27T15:07:46ZDEVELOPMENT OF SURFACE FACILITIES DESIGN PRINCIPAL IN GAS CONDENSATE RESERVOIR AS A FUNCTION OF RESERVOIR PROPERTIES VARIATION DISTRIBUTION ASTELINA (NIM : 22208029), SARAH Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/24211 This study was conducted in order to know the effect of changing reservoir properties distribution, in term of porosity and permeability to surface facilities <br /> <br /> <br /> design. Statistic method was used to distribute reservoir properties by changing standard deviation σ value of porosity normal distribution and p value of <br /> <br /> <br /> permeability p-normal distribution. PVT analysis and History Matching for the model was done first to get <br /> <br /> <br /> valid model, then followed by reservoir performance forecast with sensitivities of varying σ porosity distribution and p permeability distribution for each layer. Surface facilities design was adjusted with reservoir simulation result for each sensitivities. <br /> <br /> <br /> The result showed that change in porosity distribution which was affected by standard deviation σ value variation and p value variation in permeability <br /> <br /> <br /> distribution contribute to compressor, chiller, cooler, and pump in designing surface facilities for gas and condensate processing. Every σ (standard deviation <br /> <br /> <br /> of porosity distribution) set at 0.02 in every p value permeability distribution set at 0.5 affect surface facilities design, such as : compressor 1 power in gas processing unit at 2097 – 11,819 hp, compressor 2 power in gas processing unit at 1994 – 11,242 hp, chiller duty in gas processing unit at 5,769,964 – 32,539,029 Btu/hr, <br /> <br /> <br /> cooler 2 duty in gas processing unit at 4,843,421 – 27,300,865 Btu/hr, power pump in condensate processing unit at 0.901 – 5.82 hp, and cooler 1 duty in <br /> <br /> <br /> condensate processing unit at 25,770 – 120,412 Btu/hr. Decreasing standard deviation σ at 0.02 in every p value permeability distribution set at 0.5 have small effect in surface facilities design, such as : compressor 1 power in gas processing unit at 2097 hp, compressor 2 power in gas processing unit at 1994 hp, chiller <br /> <br /> <br /> duty in gas processing unit at 5,769,964 Btu/hr, cooler 2 duty in gas processing unit at 4,843,421 Btu/hr, power pump in condensate processing unit at 0.901 hp and cooler 1 duty in condensate processing unit at 25,770 Btu/hr. Increasing of standard deviation σ at 0.1 in every p value permeability distribution set at 0.5 <br /> <br /> <br /> have big effect in surface facilities design, such as : compressor 1 power in gas processing unit at 11,819 hp, compressor 2 power in gas processing unit at 11,242 hp, chiller duty in gas processing unit at 32,539,029 Btu/hr, cooler 2 duty in gas processing unit at 27,300,865 Btu/hr, power pump in condensate processing unit at 5.82 hp and cooler 1 duty in condensate processing unit at 120,412 Btu/hr. Sharp increase to line formed from σ = 0.02 to σ = 0.04 for every p permeability distribution, this is caused by the smaller of standard deviation σ value of porosity distribution, the higher porosity distribution uniform, and vice versa. text |
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This study was conducted in order to know the effect of changing reservoir properties distribution, in term of porosity and permeability to surface facilities <br />
<br />
<br />
design. Statistic method was used to distribute reservoir properties by changing standard deviation σ value of porosity normal distribution and p value of <br />
<br />
<br />
permeability p-normal distribution. PVT analysis and History Matching for the model was done first to get <br />
<br />
<br />
valid model, then followed by reservoir performance forecast with sensitivities of varying σ porosity distribution and p permeability distribution for each layer. Surface facilities design was adjusted with reservoir simulation result for each sensitivities. <br />
<br />
<br />
The result showed that change in porosity distribution which was affected by standard deviation σ value variation and p value variation in permeability <br />
<br />
<br />
distribution contribute to compressor, chiller, cooler, and pump in designing surface facilities for gas and condensate processing. Every σ (standard deviation <br />
<br />
<br />
of porosity distribution) set at 0.02 in every p value permeability distribution set at 0.5 affect surface facilities design, such as : compressor 1 power in gas processing unit at 2097 – 11,819 hp, compressor 2 power in gas processing unit at 1994 – 11,242 hp, chiller duty in gas processing unit at 5,769,964 – 32,539,029 Btu/hr, <br />
<br />
<br />
cooler 2 duty in gas processing unit at 4,843,421 – 27,300,865 Btu/hr, power pump in condensate processing unit at 0.901 – 5.82 hp, and cooler 1 duty in <br />
<br />
<br />
condensate processing unit at 25,770 – 120,412 Btu/hr. Decreasing standard deviation σ at 0.02 in every p value permeability distribution set at 0.5 have small effect in surface facilities design, such as : compressor 1 power in gas processing unit at 2097 hp, compressor 2 power in gas processing unit at 1994 hp, chiller <br />
<br />
<br />
duty in gas processing unit at 5,769,964 Btu/hr, cooler 2 duty in gas processing unit at 4,843,421 Btu/hr, power pump in condensate processing unit at 0.901 hp and cooler 1 duty in condensate processing unit at 25,770 Btu/hr. Increasing of standard deviation σ at 0.1 in every p value permeability distribution set at 0.5 <br />
<br />
<br />
have big effect in surface facilities design, such as : compressor 1 power in gas processing unit at 11,819 hp, compressor 2 power in gas processing unit at 11,242 hp, chiller duty in gas processing unit at 32,539,029 Btu/hr, cooler 2 duty in gas processing unit at 27,300,865 Btu/hr, power pump in condensate processing unit at 5.82 hp and cooler 1 duty in condensate processing unit at 120,412 Btu/hr. Sharp increase to line formed from σ = 0.02 to σ = 0.04 for every p permeability distribution, this is caused by the smaller of standard deviation σ value of porosity distribution, the higher porosity distribution uniform, and vice versa. |
format |
Theses |
author |
ASTELINA (NIM : 22208029), SARAH |
spellingShingle |
ASTELINA (NIM : 22208029), SARAH DEVELOPMENT OF SURFACE FACILITIES DESIGN PRINCIPAL IN GAS CONDENSATE RESERVOIR AS A FUNCTION OF RESERVOIR PROPERTIES VARIATION DISTRIBUTION |
author_facet |
ASTELINA (NIM : 22208029), SARAH |
author_sort |
ASTELINA (NIM : 22208029), SARAH |
title |
DEVELOPMENT OF SURFACE FACILITIES DESIGN PRINCIPAL IN GAS CONDENSATE RESERVOIR AS A FUNCTION OF RESERVOIR PROPERTIES VARIATION DISTRIBUTION |
title_short |
DEVELOPMENT OF SURFACE FACILITIES DESIGN PRINCIPAL IN GAS CONDENSATE RESERVOIR AS A FUNCTION OF RESERVOIR PROPERTIES VARIATION DISTRIBUTION |
title_full |
DEVELOPMENT OF SURFACE FACILITIES DESIGN PRINCIPAL IN GAS CONDENSATE RESERVOIR AS A FUNCTION OF RESERVOIR PROPERTIES VARIATION DISTRIBUTION |
title_fullStr |
DEVELOPMENT OF SURFACE FACILITIES DESIGN PRINCIPAL IN GAS CONDENSATE RESERVOIR AS A FUNCTION OF RESERVOIR PROPERTIES VARIATION DISTRIBUTION |
title_full_unstemmed |
DEVELOPMENT OF SURFACE FACILITIES DESIGN PRINCIPAL IN GAS CONDENSATE RESERVOIR AS A FUNCTION OF RESERVOIR PROPERTIES VARIATION DISTRIBUTION |
title_sort |
development of surface facilities design principal in gas condensate reservoir as a function of reservoir properties variation distribution |
url |
https://digilib.itb.ac.id/gdl/view/24211 |
_version_ |
1822921152902725632 |