Global Component Lumping for EOS Calculations

Alavian, Sayyed Ahmad; Whitson, Curtis Hays; Martinsen, Sissel Ø.

doi:10.2118/170912-ms

Cited by 14 publications

(5 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In comparison with other methods for lumping, Whitson methods is more accuratly estimate lumping process. For instance, Lee et al (1982) suggest that C 7+ fractions can be grouped into two pseudo-components, which in turn limits the number of pseudo components [9]. What about other correlations, there is also some limitations for lumping, such as the Coats lumping methodology is allows "partial lumping" of original components into several pseudocomponents [9].…”

Section: нефтехимия Table 2 -Lumped Fluid Description By Analytical M...mentioning

confidence: 99%

Comprehensive Fluid Description Through Lumping Procedures: For Kazakhstani Oil

KAIYRBEKOV,

SARSENOVA,

ISMAILOVA

2023

NiG

View full text Add to dashboard Cite

Reservoir modeling requires a multitude of phase equilibrium calculations, particularly in the context of compositional reservoir simulations. To accelerate these calculations, the many components of the heptane plus fraction should be grouped into pseudocomponents. Moreover, accurate fluid compositions demand extensive laboratory analysis, a process both costly and time-consuming. The exercise of grouping and splitting are important for reservoir modeling. In our research, we introduce a lumping methodology for fluid characterization, focusing on the unique context of Kazakhstani oil. More specifically, we delve into the Whitson lumping and splitting techniques. For this study, a sample was taken from the X field, and detailed fluid composition data was acquired through laboratory analysis. We employed both numerical and analytical approaches to study the lumping process. Additionally, we compared our calculations with simulation results. As we navigate the intricacies of fluid characterization, we highlighted the advantages and limitations of lumping procedures and emphasized the effectiveness of Whitson method. Detailed fluid compositions obtained through laboratory PVT analysis were then compared with the results of simulation using PVTsim software and numerical delumping procedures The results of this work demonstrated the effectiveness of Whitson methods for lumping and splitting procedures for describing Kazakhstani fluids.

show abstract

Section: нефтехимия Table 2 -Lumped Fluid Description By Analytical M...mentioning

confidence: 99%

Comprehensive Fluid Description Through Lumping Procedures: For Kazakhstani Oil

KAIYRBEKOV,

SARSENOVA,

ISMAILOVA

2023

NiG

View full text Add to dashboard Cite

show abstract

“…In the test cases shown later, we will use a 9-component characterization developed by Alavian et al (2014) using a Peng-Robinson EOS. We will use the initial composition corresponding to a low-volatility oil and use a temperature of 200°F.…”

Section: Fluid Modelmentioning

confidence: 99%

“…Joergensen and Stenby (1995) compared 12 different lumping procedures and found that none of these methods were consistently better than the others. Because no approach seems to be better than the others, Alavian et al (2014) suggested using an extensive statistical approach to test for the best lumping among thousands of possible scenarios.…”

Section: Introductionmentioning

confidence: 99%

Efficient Compositional Simulation with Locally Lumped EOS Characterization

Fleming

Wong

2015

Day 3 Wed, September 16, 2015

View full text Add to dashboard Cite

Equation-of-state (EOS) fluid characterization is used to model the behavior of hydrocarbon reservoirs when variation in the fluid composition has a significant influence on the recovery of hydrocarbons. Examples are miscible gas-injection processes, where mass transfer between the injected gas and in-situ hydrocarbons can result in the injected fluid developing into a fluid that is miscible with the in-situ hydrocarbons, or gas-condensate fluids, where the liquid yield varies with pressure and composition as the reservoir depletes. For many reservoirs, more than one recovery mechanism is employed. For example, insufficient supply of miscible injectant might result in part of a reservoir employing miscible injection, while part is under waterflood. In such cases, accurate prediction of recovery for the miscible injection area might require an EOS characterization with a large number of components, while the phase behavior in the waterflood area could be modeled with sufficient accuracy with many fewer components. Phase-behavior calculations become much more computationally expensive as the number of components increases, but current commercial reservoir simulators must use the same number of components everywhere in the reservoir model. Thus, the requirement to use a large number of components to model the recovery process in part of the reservoir results in a large computational penalty in regions of the reservoir where a smaller number of components would suffice.In this paper, we describe a method whereby the fluid can be locally lumped for phase-behavior calculations so that regions that are able to maintain sufficient compositional accuracy with fewer components can use less-expensive EOS calculations. Different lumpings can be used at different times in the life of the reservoir, as compositional effects become more or less important in different regions in the reservoir. Example problems that demonstrate the flexibility, efficiency, and consistency of the method are explored.

show abstract

“…In order to minimize the CPU time in compositional reservoir modeling, the number of the components of the hydrocarbon mixtures in the equation of state (EOS) that provide the fluid phase behavior should be reduced to a reasonable number (Alavian, Whitson, & Martinsen, 2014).…”

Section: Components Lumpingmentioning

confidence: 99%

“…A typical EOS model mostly has 20 to 40 components in which the first 10 components representing pure components such as H2S, CO2, N2, C1, C2, C3, i-C4, n-C4, i-C5, and n-C5. The other components in the EOS model are a split of the heavy components such as single-carbon number (SCN) fractions, C6, C7, C8 and C9, or combinations of SCN fractions such as C10-C12, C13-C19, C20-C29 and C30+ (Alavian, Whitson, & Martinsen, 2014). According to the literature, there is no specific method to choose the optimum lumping scheme that provides precise results similar to the single carbon number results.…”

Section: Components Lumpingmentioning

confidence: 99%

Impact of Pore Size on Gas Condensate Critical Properties Confined in Marcellus Shale

Allawe¹

View full text Add to dashboard Cite

Impact of Pore Size on Gas Condensate Critical Properties Confined in Marcellus Shale Erfan Mustafa Allawe Gas condensate reservoirs have become an important topic of research for reservoir engineers due to the drop in gas prices in the past few years. Because of this drop, the majority of gas producers have become more interested in condensate and wet gas resources. However, gas condensate reservoirs have a unique phase behavior system and they are considered the most complicated reservoirs to develop due to the continuous composition changes. Therefore, the effects of nanopores on the critical properties of the confined gas condensate in the Marcellus Shale will be investigated in this research in order to achieve the optimum gas and condensate production and to improve reservoir management plans for this kind of reservoir. I would like to thank my committee members for their help who were more than generous with their time. A special and deep thanks to Dr. Kashy Aminian, my advisor and my committee chairman for his hours of reviewing, reading, and most of all, patience throughout the entire process. My gratitude and appreciation also goes to Dr. Samuel Ameri and Dr. Fatemeh Belyadi, who kindly accepted to be part of my advising committee. Finally, I would like to thank all my professors and my colleagues from the Petroleum and Natural Gas Engineering department, especially my officemates, for their help and support during my work. Lastly, I owe a big thank you to West Virginia University for everything. vi

show abstract

Global Component Lumping for EOS Calculations

Cited by 14 publications

References 17 publications

Comprehensive Fluid Description Through Lumping Procedures: For Kazakhstani Oil

Comprehensive Fluid Description Through Lumping Procedures: For Kazakhstani Oil

Efficient Compositional Simulation with Locally Lumped EOS Characterization

Impact of Pore Size on Gas Condensate Critical Properties Confined in Marcellus Shale

Contact Info

Product

Resources

About