An Equation-of-State Compositional In-Situ Combustion Model: A Study of Phase Behavior Sensitivity

Kristensen, Martin; Gerritsen, Margot; Thomsen, Per Grove; Michelsen, Michael Locht; Stenby, Erling Halfdan

doi:10.1007/s11242-008-9244-6

Cited by 18 publications

(8 citation statements)

References 31 publications

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“…This dependence is not universal because there is a great number of oil fields where the temperature is too low for ignition, regardless of time or air injection rate. This fact is well reflected by the numerical results in ref .…”

Section: Modelingsupporting

confidence: 76%

“…With the numerical simulation progress more complicated oil compositional models appeared. The numerical modeling permits one to use two component models, or even multicomponent SARA fraction models for ignition calculations , and include phase behavior and kinetics investigation during the oil ignition process. In fact formula has a compositional form like: where E A i and A 0 i are the kinetic parameters for oil component oxidation and f is some function which determines the dependence between each other and which is evaluated and solved numerically.…”

Section: Modelingmentioning

confidence: 99%

“…With the numerical simulation progress more complicated oil compositional models appeared. The numerical modeling permits one to use two component models, or even multicomponent SARA fraction models for ignition calculations 40,41 and include phase behavior and kinetics investigation during the oil ignition process. In fact f o r m u l a 2 h a s a c o m p o s i t i o n a l f o r m l i k e :…”

Section: Modelingmentioning

confidence: 99%

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Chain Reactions Approach to the Initial Stages of Crude Oil Oxidation

Ushakova

Zatsepin

2018

Energy Fuels

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The paper focuses on the problem of the crude oil self-ignition in situ, which has not yet been solved in the general case and for a particular oilfield as well. To solve the problem of ignition, we approached from a theoretical point of viewapplied the theory of chain reactions to the description of the initial stages of oxidation. The obtained dependences of heat release on time should be of a general nature for experiments in which self-ignition occurred (we called them high rate experiments) and for experiments in which fuel formation was observed (low rate experiments). We first demonstrated this relationship in the experiments we conducted by high pressure rate calorimeter (PDSC). And then we analyzed the various experiments from literature sources. The novel results of the presented approach show the probabilistic nature of the ignition and the presence of a group of processes that do not lead to ignition, in which the free radicals are not sufficiently active and the heat sink exceeds the heat release. Instead of the heat balance, a new ignition criterionφ-factor for chain reaction, the difference in the rate of formation and death of free radicalsis derived. A positive value of φ-factor indicates the increase of energy in the system and the ignition by the chain mechanism, while a negative value indicates the attenuation of the reaction and the formation of oxidized compounds without ignition. The PDSC experiments with light crude oil oxidation were conducted under various heating rates in order to explore the ignition temperature–time dependence (the example of high rate experiments). The results show the same dependence of the process time on temperature predicted theoretically. The other types of high rate experiments (adiabatic experiments, combustion tube experiments) and low rate oxidation experiments from literature sources are also considered in terms of our approach. The comparison of different types of experiments with the obtained mathematical formulas gives a good agreement. The low rate oxidation dependences refer to the negative values of φ-factor, and high rate oxidation refers to positive φ-factor modes. Both types of experiments are in good consistency with the theoretically obtained dependence and show that the model of the chain reaction approach works well. Thus, the chain reaction approach to the ignition mechanism gives one a good consistency with experimental data and can be applied for the prediction of ignition time for air injection projects. The other result of our approach is the difference between heavy and light oil oxidation in low and high rate processes. In high rate processes, free radicals are active enough for igniting the oil, and light oils contain more free radicals of this type and are more reactive for ignition. Heavy oils have better affinity for fuel formation and oxygen addition reactions. So heavy oils can usually ignite at higher temperature than light oils.

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Section: Modelingsupporting

confidence: 76%

Section: Modelingmentioning

confidence: 99%

“…With the numerical simulation progress more complicated oil compositional models appeared. The numerical modeling permits one to use two component models, or even multicomponent SARA fraction models for ignition calculations 40,41 and include phase behavior and kinetics investigation during the oil ignition process. In fact f o r m u l a 2 h a s a c o m p o s i t i o n a l f o r m l i k e :…”

Section: Modelingmentioning

confidence: 99%

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Chain Reactions Approach to the Initial Stages of Crude Oil Oxidation

Ushakova

Zatsepin

2018

Energy Fuels

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“…The absence of displacement allows us to design lumped reactions, which make the schemes more compact (around 3-6 reactions) but largely ignore phase behavior effects. SARA (Saturates, Aromatics, Resins and Asphaltenes) fractions are rooted in the chemical composition of the oil (Speight, 2004;Freitag and Exelby, 2006;Kristensen et al, 2009) and are typically used to characterize heavy oil. Assigning carbon number and chemical compositions to SARA fractions is an open research question (Powers et al, 2016;Yarranton et al, 2018;Rudyk, 2018), especially for asphaltenes.…”

Section: Compositional Formulations For the Reaction Schemementioning

confidence: 99%

Compositional Effects in Thermal, Compositional and Reactive Simulation

Cremon,

Gerritsen

2020

Preprint

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In this work, we study the influence of several compositional effects on thermal and reactive processes.First, we consider the influence of using different lumped pseudo-components. Advanced thermodynamic equilibrium computations are typically required to model the phase behavior in the numerical simulation of thermal recovery processes. Such phase behavior models rely on compositional descriptions of the oil using up to tens of components to obtain accurate solutions. Lumping a large number of components into a smaller number of pseudo-components in order to reduce the computational cost is standard practice for thermal simulations. However, the impact the lumping process has on the displacement processes can be hard to estimate a priori. Thermal, compositional and reactive simulations (such as In-Situ Combustion -ISC) exhibit a tight coupling between mass and energy conservation, through phase behavior, heat transport and reactions. We observe that depending on the number and type of lumped pseudo-components retained in the simulation, the results can exhibit modeling artefacts and/or fail to capture the relevant displacement processes. We illustrate that for several thermal hot gas injection processes, with and without chemical reactions, the displacement results using a small number of pseudo-components do not capture the physical phenomena. Lumping heavy components together overestimates the size of the oil banks and gives inaccurate speeds for multiple fronts.Then, we consider the effects of different compositional interpretations of the lumped pseudo-species appearing in typical reaction schemes. Due to compositional effects, they strongly impact the behavior of the solutions through the intricate interplay between reactions, phase behavior and

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“…This system has applications to a variety of thermal oil recovery processes such as steam flooding and in situ combustion. Relevant work in this area can be found in Liu et al (2007), Huang et al (2007), Pasarai et al (2005), Nilsson et al (2005), Christensen et al (2004) and Kristensen et al (2009). Soil remediation is another important field in which thermal compositional solvers play a role (Class & Helmig 2002).…”

Section: Introductionmentioning

confidence: 99%

An efficient shock capturing scheme for multicomponent multiphase thermal flow in porous media

et al. 2012

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This paper is concerned with multicomponent, two-phase, thermal fluid flow in porous media. The fluid model consists of component conservation equations, Darcy's law for volumetric flow rates and an enthalpy conservation equation. The model is closed with an equation of state and phase equilibrium conditions that determine the distribution of the chemical components into phases. The sequential formulation described in a previous article is used to build a second-order shock capturing scheme for the conservation equations using a primitive-variable-based linear reconstruction. The fluxes at the cell faces are calculated using an approximate Riemann solver. The method is validated and evaluated by means of one-and two-dimensional problems, including a gravity inversion test.

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An Equation-of-State Compositional In-Situ Combustion Model: A Study of Phase Behavior Sensitivity

Cited by 18 publications

References 31 publications

Chain Reactions Approach to the Initial Stages of Crude Oil Oxidation

Chain Reactions Approach to the Initial Stages of Crude Oil Oxidation

Compositional Effects in Thermal, Compositional and Reactive Simulation

An efficient shock capturing scheme for multicomponent multiphase thermal flow in porous media

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