Experimental, modelling and optimisation of asphaltene deposition and adsorption in porous media

Kariznovi, Mohammad; Nourozieh, Hossein; Abedi, Jalal; Jamialahmadi, M.; Shahrabadi, Abbas

doi:10.1002/cjce.20577

Cited by 8 publications

(2 citation statements)

References 45 publications

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“…To study the parameters affecting asphaltene deposition it is essential to examine different models that have been developed for asphaltene aggregation by laboratory experimental measurements. [11] Polymer/solvent models have been used to study phase behaviour of asphaltene/oil mixtures. [12] Association equations of state have been applied to investigate asphaltene aggregation as a prior step of their precipitation.…”

Section: Introductionmentioning

confidence: 99%

Asphaltene solubility in common solvents: A molecular dynamics simulation study

et al. 2015

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Solubility of all proposed molecular models of asphaltene in various solvents is studied through molecular dynamics simulation to find the structural parameters which have a determining effect on asphaltene solubility. It is found that higher numbers of aromatic rings and heteroatoms such as oxygen, nitrogen, and sulphur in the molecular structure of asphaltenes raises their solubility in the solvents, whereas the length of aliphatic group, which increases the chain length, lowers their solubility. In addition, a cubic correlation equation for evaluating the asphaltene solubility parameter as a ratio of number of aromatic rings in the asphaltene molecular core to the number of carbon atoms in the asphaltene side chains is proposed. The results indicate that the relative energy difference (RED) of asphaltene models and isopropyl benzene, as a solvent, is the lowest compared with other solvents. To elucidate the mechanism of asphaltene dissolution in the common solvents the solubility of two asphaltene structural models in three solvents, including isopropyl benzene, toluene, and heptane, were studied by evaluating the radial distribution functions (RDFs) of the asphaltenes, and the results confirm that asphaltene has the highest solubility in isopropyl benzene.

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Section: Introductionmentioning

confidence: 99%

Asphaltene solubility in common solvents: A molecular dynamics simulation study

et al. 2015

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“…Different tools can be used for solving optimization problems and unknown estimations. The genetic algorithm (GA), which has been used in this study, is one of the heuristic methods and popular techniques with various applications in engineering problems. GA originated from natural evolution and can be used for problems using operators such as mutation, crossover, and selection .…”

Section: Introductionmentioning

confidence: 99%

On determination of interwell connectivity under immiscible gas injection process: Modified capacitance‐resistance model

et al. 2018

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Interwell connectivity is an important parameter in reservoir management and optimization during water/gas injection. As an analytical approach, the capacitance-resistance model (CRM) is a rapid tool that only needs some common and available data for field performance prediction. The nonlinear signal processing technique is used with the CRM to determine reservoir continuity between production and injection wells. Current CRMs are applicable in water flooding systems. In this study, a modified capacitance-resistance model (M-CRM) for interwell connectivity calculation in immiscible gas flooding projects is developed based on the mass balance equation. Slightly compressible flow is one of the main assumptions in CRM development while gas is compressible and the gas property variation with pressure should be scrutinized in the equations. Therefore, new equations need gas PVT properties to consider the effect of gas compressibility. Moreover, the productivity equation for oil and gas production should be revised. The constructed model that considers mass balance and the productivity equation is applied in two synthetic models and one real sector reservoir model. The genetic algorithm, as an optimization tool for solving the new model, is used and streamline simulation is selected as a validation tool for interwell connectivity parameter calculation. Based on the streamline results, it was observed that a M-CRM is able to predict the reservoir behaviour better than a common CRM for pre/post breakthrough conditions in gas injection scenarios. Also, an analysis is performed for different parameters that affect the new model in immiscible gas flooding. Results show that modification on the mass balance equation has a greater influence than the productivity equation.

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An experimental investigation of asphaltene stability in heavy crude oil during carbon dioxide injection

Fakher

Ahdaya

Elturki

et al. 2019

J Petrol Explor Prod Technol

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Carbon dioxide (CO 2) injection is one of the most applied enhanced oil recovery methods in the hydrocarbon industry, since it has the potential to increase oil recovery significantly and can help reduce greenhouse gases through carbon storage in hydrocarbon reservoirs. Carbon dioxide injection has a severe drawback, however, since it induces asphaltene precipitation by disrupting the asphaltene stability in crude oil that bears even the slightest asphaltene concentration. This can result in severe operational problems, such as reservoir pore plugging and wellbore plugging. This research investigates some of the main factors that impact asphaltene stability in crude oil during CO 2 injection. Initially, asphaltene precipitation, flocculation, and deposition were tested using visual tests without CO 2 in order to evaluate the effect of oil viscosity and temperature on asphaltene stability and content in the crude oil. The results obtained from the visualization experiments were correlated to the Yen-Mullins asphaltene model and were used to select the proper chemical to alter the oil's viscosity without strongly affecting asphaltene stability. After performing the visual asphaltene tests, a specially designed filtration vessel was used to perform the oil filtration experiments using filter membranes with a micron and nanometer pore size. The effect of varying CO 2 injection pressure, oil viscosity, filter membrane pore size, and filter membrane thickness on asphaltene stability in crude oil was investigated. The results were then correlated with the Yen-Mullins asphaltene model to characterize the asphaltene size within the oil as well. Results showed that as the oil viscosity increased, the asphaltene concentration in the oil also increased. Also, the asphaltene concentration and filter cake thickness increased with the decrease in filter membrane pore size, since the asphaltene particles either plugged up the smaller pores, or the asphaltene nanoaggregates were larger than the pore sizes, and thus the majority of them could not pass. This research studies asphaltene instability in crude oil during CO 2 injection in different pore sizes, and correlates the results to the principle of the Yen-Mullins model for asphaltenes. The results from this research can help emphasize the factors that will impact asphaltene stability during CO 2 injection in different pore sizes in order to help reduce asphaltene-related problems that arise during CO 2 injection in hydrocarbon reservoirs.

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Experimental, modelling and optimisation of asphaltene deposition and adsorption in porous media

Cited by 8 publications

References 45 publications

Asphaltene solubility in common solvents: A molecular dynamics simulation study

Asphaltene solubility in common solvents: A molecular dynamics simulation study

On determination of interwell connectivity under immiscible gas injection process: Modified capacitance‐resistance model

An experimental investigation of asphaltene stability in heavy crude oil during carbon dioxide injection

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