Study of reservoir properties and operational parameters influencing in the steam assisted gravity drainage process in heavy oil reservoirs by numerical simulation

Dianatnasab, Farshad; Nikookar, Mohammad; Hosseini, Seyednooroldin; Sabeti, Morteza

doi:10.1016/j.petlm.2016.06.002

Cited by 17 publications

(11 citation statements)

References 10 publications

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“…These crude oils have very high viscosity values, which prevents them from flowing easily through the porous media and the production and transport lines. In addition, they have low values of American Petroleum Institute (API) gravity (EHO < 20 • and HO < 10 • ), which implies higher specific gravity values compared to light oils [44,[56][57][58]. The main cause of the problems presented by heavy crude oils and bitumen is the high content of heavy fractions such as asphaltenes and resins in their molecular structure.…”

Section: Physical-chemical Properties Of Heavy (Ho) Extra-heavy Crudmentioning

confidence: 99%

Nanotechnology Applied to Thermal Enhanced Oil Recovery Processes: A Review

et al. 2019

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The increasing demand for fossil fuels and the depleting of light crude oil in the next years generates the need to exploit heavy and unconventional crude oils. To face this challenge, the oil and gas industry has chosen the implementation of new technologies capable of improving the efficiency in the enhanced recovery oil (EOR) processes. In this context, the incorporation of nanotechnology through the development of nanoparticles and nanofluids to increase the productivity of heavy and extra-heavy crude oils has taken significant importance, mainly through thermal enhanced oil recovery (TEOR) processes. The main objective of this paper is to provide an overview of nanotechnology applied to oil recovery technologies with a focus on thermal methods, elaborating on the upgrading of the heavy and extra-heavy crude oils using nanomaterials from laboratory studies to field trial proposals. In detail, the introduction section contains general information about EOR processes, their weaknesses, and strengths, as well as an overview that promotes the application of nanotechnology. Besides, this review addresses the physicochemical properties of heavy and extra-heavy crude oils in Section 2. The interaction of nanoparticles with heavy fractions such as asphaltenes and resins, as well as the variables that can influence the adsorptive phenomenon are presented in detail in Section 3. This section also includes the effects of nanoparticles on the other relevant mechanisms in TEOR methods, such as viscosity changes, wettability alteration, and interfacial tension reduction. The catalytic effect influenced by the nanoparticles in the different thermal recovery processes is described in Sections 4, 5, 6, and 7. Finally, Sections 8 and 9 involve the description of an implementation plan of nanotechnology for the steam injection process, environmental impacts, and recent trends. Additionally, the review proposes critical stages in order to obtain a successful application of nanoparticles in thermal oil recovery processes.

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Section: Physical-chemical Properties Of Heavy (Ho) Extra-heavy Crudmentioning

confidence: 99%

Nanotechnology Applied to Thermal Enhanced Oil Recovery Processes: A Review

et al. 2019

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“…However, at the beginning of the process, the mathematical model predicts a lower production rate, which can be understandably attributed to the first estimation of the heat penetration depth in step 3 of the proposed solution algorithm. Equation (9) includes the three important parameters of heat penetration depth, the angle of interface with respect to horizontal, and the formation height, each of which automatically affects the production rate. Using Equation (10) in the solving procedure, the amount of heat penetration in each segment can be expected to gradually increase.…”

Section: Resultsmentioning

confidence: 99%

“…Researchers have usually made many simplifying assumptions to obtain an equation capable of rapidly predicting the oil production rate in SAGD. In addition to accurate outputs, attempts were made for the developed equation(s) to require fewer reservoir input data to yield the desired outputs [9].…”

Section: Introductionmentioning

confidence: 99%

An Improved Mathematical Model for Accurate Prediction of the Heavy Oil Production Rate during the SAGD Process

2020

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Steam-assisted gravity drainage (SAGD) is one of the most successful thermal enhanced oil recovery (EOR) methods for cold viscose oils. Several analytical and semi-analytical models have been theorized, yet the process needs more studies to be conducted to improve quick production rate predictions. Following the exponential geometry theory developed for finding the oil production rate, an upgraded predictive model is presented in this study. Unlike the exponential model, the current model divides the steam-oil interface into several segments, and then the heat and mass balances are applied to each of the segments. By manipulating the basic equations, the required formulas for estimating the oil drainage rate, location of interface, heat penetration depth of steam ahead of the interface, and the steam required for the operation are obtained theoretically. The output of the proposed theory, afterwards, is validated with experimental data, and then finalized with data from the real SAGD process in phase B of the underground test facility (UTF) project. According to the results, the model with a suitable heat penetration depth correlation can produce fairly accurate outputs, so the idea of using this model in field operations is convincing.

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“…ζ, which is the coordinate perpendicular to the interface, varies with time. It is possible to define new coordinate with the help of Equation ( 4), and then the problem will turn into a fixed boundary conditions problem [6] :…”

Section: Modellingmentioning

confidence: 99%

A new analytical model to predict heavy oil production rate in the SAGD process

et al. 2022

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An analytical model for predicting the oil production rate in the steam-assisted gravity drainage (SAGD) process is presented in this article. The suggested correlation is found based on Butler's original work. It considers the most effective parameters of the process that emphasize the influence of gravity drainage and that are grouped together in the form of the Rayleigh's number. The present model introduces three coefficients (i, j, and k) into the equation, which are determined by minimizing an objective function based on the difference between the six experimental SAGD datasets and the calculated results. The tool chosen for the minimization is the genetic algorithm (GA). After the initial evaluation, the same approach is used for other reservoir characteristics to ensure the robustness of the new equation. Having considered various simulation outcomes with an average error of 8.9% makes this model a credible one for predicting the SAGD production rates. The novelty of the new predictive model lies within its unique approach, making it quite fast and applicable to a wide range of reservoirs with low associated estimation inaccuracies.

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Study of reservoir properties and operational parameters influencing in the steam assisted gravity drainage process in heavy oil reservoirs by numerical simulation

Cited by 17 publications

References 10 publications

Nanotechnology Applied to Thermal Enhanced Oil Recovery Processes: A Review

Nanotechnology Applied to Thermal Enhanced Oil Recovery Processes: A Review

An Improved Mathematical Model for Accurate Prediction of the Heavy Oil Production Rate during the SAGD Process

A new analytical model to predict heavy oil production rate in the SAGD process

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