Maximize condensate recovery in gas reservoirs by injection of variable flue gas composition

Abstract

A method to improve production of condensate is disclosed. The method includes obtaining a condensate fluids sample from a gas condensate reservoir, generating, from a laboratory pressure, volume and temperature (PVT) experiment of the condensate fluids sample, a liquid dropout curve, performing simulation of the laboratory PVT experiment based on Equations of State (EoS) of the condensate to generate a simulated liquid dropout curve, where the EoS is adjusted to match the simulated liquid dropout curve and the liquid dropout curve generated by the laboratory PVT experiment, performing, based on the adjusted EoS, a reservoir simulation of the gas condensate reservoir under injection of flue gas, where the reservoir simulation models a condensate banking phenomenon to generate an optimal flue gas ratio that maximizes a measure of condensate production, and facilitating, based on the optimal flue gas ratio, the production of the condensate in the gas condensate reservoir.

What is claimed: 
     
         1 . A method to improve production of condensate in a gas condensate reservoir, comprising:
 obtaining a condensate fluids sample from the gas condensate reservoir;   generating, from a laboratory pressure, volume and temperature (PVT) experiment of the condensate fluids sample, a liquid dropout curve of the condensate fluids sample;   performing simulation of the laboratory PVT experiment based on Equations of State (EoS) of the condensate to generate a simulated liquid dropout curve, wherein the EoS is adjusted to match the simulated liquid dropout curve and the liquid dropout curve generated by the laboratory PVT experiment;   performing, based on the adjusted EoS, a reservoir simulation of the gas condensate reservoir under injection of flue gas, wherein the reservoir simulation models a condensate banking phenomenon to generate an optimal flue gas ratio that maximizes a measure of condensate production; and   facilitating, based on the optimal flue gas ratio, the production of the condensate in the gas condensate reservoir.   
     
     
         2 . The method of  claim 1 , further comprising:
 further generating, from the laboratory PVT experiment of the condensate fluids sample, a composition measure of the condensate fluids sample; and   configuring, based on the composition measure, the EoS for simulating the PVT experiment.   
     
     
         3 . The method of  claim 2 ,
 wherein the composition measure identifies the condensate fluids sample as one of a lean composition type, a medium composition type, and a rich composition type.   
     
     
         4 . The method of  claim 1 , further comprising:
 generating, based on simulated pressure-temperature (P-T) data from the reservoir simulation of the gas condensate reservoir under injection of flue gas, a plurality of P-T diagrams corresponding to a plurality of flue gas ratios; and   analyzing the plurality of the P-T diagrams to select an optimal P-T diagram where a critical point is optimally adjusted to delay early precipitation of condensate in the condensate banking phenomenon,   wherein the optimal P-T diagram corresponds to the optimal flue gas ratio.   
     
     
         5 . The method of  claim 1 , further comprising:
 injecting, into the gas condensate reservoir during production of the condensate, the flue gas based on the optimal flue gas ratio.   
     
     
         6 . The method of  claim 5 ,
 wherein the flue gas is injected via a production wellbore of the gas condensate reservoir during the production of the condensate.   
     
     
         7 . The method of  claim 5 ,
 wherein the flue gas is injected via an injection well in a vicinity of the production wellbore.   
     
     
         8 . The method of  claim 5 ,
 wherein the flue gas is produced from combustion in a furnace at a wellsite of the gas condensate reservoir.   
     
     
         9 . A reservoir simulator to improve production of condensate in a gas condensate reservoir, comprising:
 a computer processor; and   memory storing instructions, when executed, causing the computer processor to:
 perform, based on Equations of State (EoS) of the condensate, simulation of a laboratory pressure, volume and temperature (PVT) experiment of a condensate fluids sample obtained from the gas condensate reservoir to generate a simulated liquid dropout curve, wherein the EoS is adjusted to match the simulated liquid dropout curve and a liquid dropout curve generated by performing the laboratory PVT experiment; 
 perform, based on the adjusted EoS, a reservoir simulation of the gas condensate reservoir under injection of flue gas, wherein the reservoir simulation models a condensate banking phenomenon to generate an optimal flue gas ratio that maximizes a measure of condensate production; and 
 facilitate, based on the optimal flue gas ratio, the production of the condensate in the gas condensate reservoir. 
   
     
     
         10 . The reservoir simulator of  claim 9 , the instructions, when executed, further causing the computer processor to:
 further generate, from the laboratory PVT experiment of the condensate fluids sample, a composition measure of the condensate fluids sample; and   configure, based on the composition measure, the EoS for simulating the PVT experiment.   
     
     
         11 . The reservoir simulator of  claim 10 ,
 wherein the composition measure identifies the condensate fluids sample as one of a lean composition type, a medium composition type, and a rich composition type.   
     
     
         12 . The reservoir simulator of  claim 9 , the instructions, when executed, further causing the computer processor to:
 generate, based on simulated pressure-temperature (P-T) data from the reservoir simulation of the gas condensate reservoir under injection of flue gas, a plurality of P-T diagrams corresponding to a plurality of flue gas ratios; and   analyze the plurality of the P-T diagrams to select an optimal P-T diagram where a critical point is optimally adjusted to delay early precipitation of condensate in the condensate banking phenomenon,   wherein the optimal P-T diagram corresponds to the optimal flue gas ratio.   
     
     
         13 . The reservoir simulator of  claim 9 ,
 wherein the flue gas is injected into the gas condensate reservoir during the production of the condensate based on the optimal flue gas ratio.   
     
     
         14 . The reservoir simulator of  claim 13 ,
 wherein the flue gas is injected via a production wellbore of the gas condensate reservoir or an injection well in a vicinity of the production wellbore, and   wherein the flue gas is produced from combustion in a furnace at a wellsite of the gas condensate reservoir.   
     
     
         15 . A system comprising:
 a wellsite for production of condensate in a gas condensate reservoir; and   a reservoir simulator comprising a computer processor and memory storing instructions, when executed, causing the computer processor to:
 perform, based on Equations of State (EoS) of the condensate, simulation of a laboratory pressure, volume and temperature (PVT) experiment of a condensate fluids sample obtained from the gas condensate reservoir to generate a simulated liquid dropout curve, wherein the EoS is adjusted to match the simulated liquid dropout curve and a liquid dropout curve generated by performing the laboratory PVT experiment; 
 perform, based on the adjusted EoS, a reservoir simulation of the gas condensate reservoir under injection of flue gas, wherein the reservoir simulation models a condensate banking phenomenon to generate an optimal flue gas ratio that maximizes a measure of condensate production; and 
 facilitate, based on the optimal flue gas ratio, the production of the condensate in the gas condensate reservoir. 
   
     
     
         16 . The system of  claim 15 , the instructions, when executed, further causing the computer processor to:
 further generate, from the laboratory PVT experiment of the condensate fluids sample, a composition measure of the condensate fluids sample; and   configure, based on the composition measure, the EoS for simulating the PVT experiment.   
     
     
         17 . The system of  claim 16 ,
 wherein the composition measure identifies the condensate fluids sample as one of a lean composition type, a medium composition type, and a rich composition type.   
     
     
         18 . The system of  claim 15 , the instructions, when executed, further causing the computer processor to:
 generate, based on simulated pressure-temperature (P-T) data from the reservoir simulation of the gas condensate reservoir under injection of flue gas, a plurality of P-T diagrams corresponding to a plurality of flue gas ratios; and   analyze the plurality of the P-T diagrams to select an optimal P-T diagram where a critical point is optimally adjusted to delay early precipitation of condensate in the condensate banking phenomenon,   wherein the optimal P-T diagram corresponds to the optimal flue gas ratio.   
     
     
         19 . The system of  claim 15 ,
 wherein the flue gas is injected into the gas condensate reservoir during the production of the condensate based on the optimal flue gas ratio.   
     
     
         20 . The system of  claim 15 ,
 wherein the flue gas is injected via a production wellbore of the gas condensate reservoir or an injection well in a vicinity of the production wellbore, and   wherein the flue gas is produced from combustion in a furnace at the wellsite of the gas condensate reservoir.