New Methods for the Nonequilibrium Initialisation of Reservoir Models With Lateral and Vertical Variations in the Initial Fluid Composition

Gibson, Adrian P.; Sörensen, Henrik; Abdou, Medhat; Sener, Ilhan

doi:10.2118/101247-ms

Cited by 13 publications

(3 citation statements)

References 1 publication

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“…The results of mole fractions further indicate that the light species flow to the top parts the domain while the dense components sediment to the bottom of the domain due to the effect of gravity. Figures 8,11,14,17,20,and 23 show the convergence process of total energy with time for the six groups of different orders. We still compute the total energy in species-wise at each time step in blue while the total energy in each full time step is shown in red.…”

Section: Figure 2 Mole Fractions At Different Timementioning

confidence: 99%

Unconditionally stable, efficient and robust numerical simulation of isothermal compositional grading by gravity

Fan

Qiao

Sun

2020

Journal of Computational Science

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Section: Figure 2 Mole Fractions At Different Timementioning

confidence: 99%

Unconditionally stable, efficient and robust numerical simulation of isothermal compositional grading by gravity

Fan

Qiao

Sun

2020

Journal of Computational Science

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“…Incomplete hydrocarbon migration can cause dynamic changes in the reservoir fluid composition with time and location in deposits. It has been observed that inflows of secondary fluid streams to the corners of a reservoir can cause changes in the fluid composition throughout the reservoir body.…”

Section: Introductionmentioning

confidence: 99%

Chemical–Gravity–Thermal Diffusion Equilibrium in Two-Phase Non-isothermal Petroleum Reservoirs

et al. 2016

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The initial state of hydrocarbon mixtures in petroleum reservoirs is the result of equilibrium among several forces, the most important of which are the chemical forces arising from chemical potential gradients of the molecular species in the petroleum accumulation, the gravitational force arising from the gravitational acceleration, and the thermal diffusion forces arising from temperature gradients. The equilibrium among these forces determines the state of pressure and a compositional gradient and the creation of a gas–oil contact (GOC) in a stationary reservoir along with the changes in other physical properties. Accurate modeling of these changes in the development of a proper stationary model for the reservoir simulation initialization leads to more realistic predictions of the future behavior of petroleum reservoirs. This is important especially when phase behavior is important in designing, modeling, and predicting the performance of the processes used to maximize the oil recovery, such as in dealing with a gas condensate reservoir or when miscible displacement is to be done in the enhanced oil recovery (EOR) stage of the reservoir life. In this study, we consider the equilibrium among chemical, gravitational and thermal diffusion forces to predict the changes in reservoir fluid composition and pressure and also to predict the location of a possible GOC in a reservoir. Additionally, we develop a simple model to predict the change of the plus-fraction molecular weight (MW) in a non-isothermal reservoir using continuous thermodynamics and the theory of irreversible processes. We propose a method not only to tune the equation of state (EOS) versus the measured PVT lab data for one fluid sample but also to accurately model the depths of the GOC and other fluid samples and their PVT lab data in order to determine which sample is representative of the reservoir fluid and also to develop an EOS model that can work for every fluid in the reservoir, not just a single point. In two case studies, we validate our calculation procedure for the general compositional gradient, GOC detection, and the plus-fraction MW change in the reservoir against two data sets from the literature. The computational results show that the model developed works satisfactorily to predict the fluid changes in these two reservoirs. Subsequently, we also report the results of a series of sensitivity analysis tests to show the factors affecting the compositional gradient calculations and present examples of abnormal fluid distributions in a hydrocarbon fluid column where the fluid becomes denser toward the top of the column or the changes in fluid properties are highly nonlinear with respect to depth in the reservoir.

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“…Quando a densidade inicial do óleo varia horizontalmente, existe um pequeno desequilíbrio entre colunas adjacentes. Admite-se que as propriedades do óleo foram alteradas por alguma razão após a sua migração, não estando na realidade em perfeito equilíbrio no reservatório (Gibson, 2006; Dindoruk e Al Kindi, 2007). Pode-se, porém, observar por simulações, que o tempo necessário para que esse equilíbrio ocorra é infinitamente superior aos períodos de produção de um campo de petróleo.…”

Section: Inicializaçãounclassified

Simulação por linhas de corrente com compressibilidade e variação espacial e dinamica de composição de oleo

Beraldo¹,

Schiozer²

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Agradeço, em primeiro lugar, à minha querida esposa, Rita, por me apoiar em todos os momentos; mesmo sendo obrigada a me "dividir com a tese" durante três anos e meio. Da mesma forma, agradeço, pela minha determinação, aos exemplos de meu pai, com quem tive a oportunidade de compartilhar momentos inesquecíveis nos últimos meses. Agradeço à minha irmã, Sílvia, e ao Léo, assim como ao Marquinho, pelo imenso apoio.

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New Methods for the Nonequilibrium Initialisation of Reservoir Models With Lateral and Vertical Variations in the Initial Fluid Composition

Cited by 13 publications

References 1 publication

Unconditionally stable, efficient and robust numerical simulation of isothermal compositional grading by gravity

Unconditionally stable, efficient and robust numerical simulation of isothermal compositional grading by gravity

Chemical–Gravity–Thermal Diffusion Equilibrium in Two-Phase Non-isothermal Petroleum Reservoirs

Simulação por linhas de corrente com compressibilidade e variação espacial e dinamica de composição de oleo

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