Investigation into the effect of capillary number on productivity of a lean gas condensate reservoir

Nasriani, Hamid Reza; Borazjani, Ashkan Akbari; Iraji, Babak; MoradiDowlatabad, Mojtaba

doi:10.1016/j.petrol.2015.09.030

Cited by 12 publications

(5 citation statements)

References 14 publications

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“…For this purpose, Schlumberger ECLIPSE E300 compositional reservoir simulator (version 2016.2) was utilized. This simulator was successfully applied for the compositional problems by Maleki et al (2012) and Nasriani et al (2015). Fully implicit solution is selected for solving the mathematical models and governing equations for objective problem.…”

Section: Numerical Model Of Gas Condensate Reservoirmentioning

confidence: 99%

Utilization of nature-inspired algorithms for gas condensate reservoir optimization

et al. 2018

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Hydrocarbon production from a gas condensate reservoir has a major concern to the petroleum industry around the world. Due to pressure decline in a reservoir, liquid drops out of solution and cause a significant reduction of well productivity. As a result, huge amount of valuable oil stays underground. The proper production management for a gas condensate reservoir minimizes or eliminates the blocking problems. Optimization of condensate recovery can be achieved through appropriate selection of production and injection rates. However, determination of the optimal rates is a complex problem, involving many factors including geological uncertainty, rock petrophysical characteristics, fluid properties, economic costs, and technical ability. In this research, nature-inspired optimization algorithms are employed to evaluate the potential of production boost. Numerical testing and comparative study revealed that investigated natural-inspired algorithms outperform widely reported in the literature optimization methods and provide a higher quality solutions. The primary concern of this research is to develop an optimal gas condensate production strategy in terms of economic efficiency by utilization of nature-inspired optimization algorithm and providing their ability to generate better quality solution than engineering approach as well as gradient optimization.

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Section: Numerical Model Of Gas Condensate Reservoirmentioning

confidence: 99%

Utilization of nature-inspired algorithms for gas condensate reservoir optimization

et al. 2018

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“…The injection of dry gas (N 2 , CO 2 , or CH 4 ) into a retrograde gas-condensate reservoir evaporates condensate and increases the dew-point pressure of the reservoir fluid. The results of experiments showed that injection of dry gas could vaporize both intermediate and some heavy hydrocarbons (Luo et al, 2001;Nasriani et al, 2014;Nasiri Ghiri et al, 2015;Nasriani, Borazjani, et al, 2015). It was also shown that dry gas injection into gas condensate reservoirs results in enrichment of the dry gas due to mass transfer.…”

Section: Introductionmentioning

confidence: 99%

“…It was also shown that dry gas injection into gas condensate reservoirs results in enrichment of the dry gas due to mass transfer. It was found that full pressure maintenance yielded a higher condensate recovery than partial pressure maintenance (Li et al, 2001;Nasriani, Asadi, et al, 2015Nasriani, Borazjani, et al, 2015;Zareenejad et al, 2015;Nasriani et al, 2016;MoradiDowlatAbad et al, 2017;Nasriani, MoradiDowlatAbad, et al, 2017). Boersma & Hagoort (1994) compared displacement characteristics of nitrogen and methane injection into volatile oil reservoirs based on phase behaviour analysis, compositional reservoir simulation, and slim-tube experiments.…”

Section: Introductionmentioning

confidence: 99%

An Investigation into the Enhancement of Condensate Recovery from Retrograde Gas Condensate Reservoirs

Nasriani¹,

Khan²,

Haghighi³

et al. 2019

81st EAGE Conference and Exhibition 2019

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The loss in condensate recovery from gas condensate reservoirs due to condensate dropout when the flowing bottom hole pressure drops below the dew point pressure of the in-situ reservoir fluid is significant. Pressure maintenance and gas cycling are the standard practices used to alleviate this problem and enhance the condensate and gas recoveries. In this study, swelling and constant volume depletion tests are conducted on the original fluid sample from a gas condensate reservoir. Various scenarios regarding gas injection recycling are examined to determine the most appropriate gas for injection which enhances gas and condensate recovery. In this study, injection of three gases (CO2, N2 and separator gas) with different injection volumes on the current field fluid were tested using simulation. Based on the results of this study, CO2 was the most efficient gas followed by separator gas and N2 respectively to inject into the gas condensate reservoirs for decreasing the condensate dropout and enhancing its recovery. This result is significant as CO2 injection in gas condensate reservoirs could be used to sequestrate the produced CO2 from power plants and other sources while enhancing the production from gas condensate reservoirs.

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“…The streamline methods use concepts from particle tracking to define pathlines in 3D space (Gupta et al, 2007). Production from hydrocarbon reservoirs requires precise determination of reservoir fluid properties along with their positive impact on real reservoir performance evaluation and fluid in place volume calculation (Nasriani et al, 2015a;Nasriani et al, 2015b). Pressure maintenance and different fluid phase injection are the common practices used in the oil and gas fields to alleviate the negative impact of reservoir depletion on hydrocarbon recovery (Zareenejad et al, 2015;Nassiri et al, 2015;Nasriani et al, 2014;Kalantariasi et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Statement of Removal

2017

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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Although nowadays finite difference simulators have many advantages for reservoir engineers to predict reservoirs in 3 dimensions, they have some disadvantages; such as spending much run time for complex fields with several thousand grids which by using Streamline simulation, the run time was decreased a lot. In this paper, first a brief summary of streamline simulation and its uniqueness applications were discussed and then an Iranian oil reservoir as a case study was simulated by using FrontSim streamline simulator, then besides testing the results of Sayyafzadeh et al (2010) to find the location of infill wells, the most suitable locations for infill drilling were selected, after that, vertical and horizontal infill wells were investigated and overally 34 scenarios were tested by using Streamline simulation method and FrontSim software, finally the results of simulation and testing infill drilling scenario shows significant increasing in field oil production and field oil recovery factor, approximately 13%, and also reduction field water cut. In addition, distinguishing fractures or faults, well's drainage area and understanding that how much injectors affect the field oil production are other benefits of Streamline simulation method. The Novelty of this paper was to study the effects of horizontal infill wells and comparing the results between horizontal and vertival infill drilling using streamline simulation.

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Investigation into the effect of capillary number on productivity of a lean gas condensate reservoir

Cited by 12 publications

References 14 publications

Utilization of nature-inspired algorithms for gas condensate reservoir optimization

Utilization of nature-inspired algorithms for gas condensate reservoir optimization

An Investigation into the Enhancement of Condensate Recovery from Retrograde Gas Condensate Reservoirs

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