Well Placement and Rate Optimization for Gas Cycling in Gas Condensate Reservoirs

2015 ◽  
Author(s):  
Mohammed Abdul Qadeer Siddiqui ◽  
Sami Alnuaim ◽  
Rizwan Ahmed Khan
Keyword(s):  
Gas Condensate ◽  
Well Placement ◽  
Gas Condensate Reservoirs ◽  
Rate Optimization ◽  
Gas Cycling

Well Placement Optimisation in Gas-Condensate Reservoirs Using Genetic Algorithms

2017 ◽  
Author(s):  
Benson Lamidi Abdul-Latif ◽  
Tsikplornu Daniel Edem ◽  
Syouma Hikmahtiar
Keyword(s):  
Genetic Algorithms ◽  
Gas Condensate ◽  
Well Placement ◽  
Gas Condensate Reservoirs

scholarly journals Sensitivity analysis and economic optimization studies of inverted five-spot gas cycling in gas condensate reservoir

Open Physics ◽  
2017 ◽  
Vol 15 (1) ◽  
pp. 525-535 ◽  
Author(s):  
Bilal Shams ◽  
Jun Yao ◽  
Kai Zhang ◽  
Lei Zhang
Keyword(s):  
Sensitivity Analysis ◽  
Gas Injection ◽  
Gas Condensate ◽  
Dew Point ◽  
Injection Timing ◽  
Complex Flow ◽  
Gas Condensate Reservoirs ◽  
Injection Duration ◽  
Well Pattern ◽  
Gas Cycling

AbstractGas condensate reservoirs usually exhibit complex flow behaviors because of propagation response of pressure drop from the wellbore into the reservoir. When reservoir pressure drops below the dew point in two phase flow of gas and condensate, the accumulation of large condensate amount occurs in the gas condensate reservoirs. Usually, the saturation of condensate accumulation in volumetric gas condensate reservoirs is lower than the critical condensate saturation that causes trapping of large amount of condensate in reservoir pores. Trapped condensate often is lost due to condensate accumulation-condensate blockage courtesy of high molecular weight, heavy condensate residue. Recovering lost condensate most economically and optimally has always been a challenging goal. Thus, gas cycling is applied to alleviate such a drastic loss in resources.In gas injection, the flooding pattern, injection timing and injection duration are key parameters to study an efficient EOR scenario in order to recover lost condensate. This work contains sensitivity analysis on different parameters to generate an accurate investigation about the effects on performance of different injection scenarios in homogeneous gas condensate system. In this paper, starting time of gas cycling and injection period are the parameters used to influence condensate recovery of a five-spot well pattern which has an injection pressure constraint of 3000 psi and production wells are constraint at 500 psi min. BHP. Starting injection times of 1 month, 4 months and 9 months after natural depletion areapplied in the first study. The second study is conducted by varying injection duration. Three durations are selected: 100 days, 400 days and 900 days.In miscible gas injection, miscibility and vaporization of condensate by injected gas is more efficient mechanism for condensate recovery. From this study, it is proven that the application of gas cycling on five-spot well pattern greatly enhances condensate recovery preventing financial, economic and resource loss that previously occurred.

Using Genetic Algorithm to Optimize Well Placement in Gas Condensate Reservoirs

2010 ◽  
Author(s):  
Adrian Nicolas Morales ◽  
Trevor H. Gibbs ◽  
Hadi Nasrabadi ◽  
Ding Zhu
Keyword(s):  
Genetic Algorithm ◽  
Gas Condensate ◽  
Well Placement ◽  
Gas Condensate Reservoirs

Stochastic Optimization of Gas Cycling in Gas Condensate Reservoirs

2014 ◽  
Author(s):  
Mohammed Abdul Qadeer Siddiqui ◽  
Sami Alnuaim ◽  
Rizwan Ahmed Khan
Keyword(s):  
Stochastic Optimization ◽  
Gas Condensate ◽  
Gas Condensate Reservoirs ◽  
Gas Cycling
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