Relevant bibliographies by topics / Mathematical modelling of oil recovery

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Mathematical modelling of oil recovery'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Mathematical modelling of oil recovery"

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Perkins, Greg. "Mathematical modelling of in situ combustion and gasification." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 232, no. 1 (August 2, 2017): 56–73. http://dx.doi.org/10.1177/0957650917721595.

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The total worldwide resources of oil sands, heavy oil, oil shale and coal far exceed those of conventional light oil. In situ combustion and gasification are techniques that can potentially recover the energy from these unconventional hydrocarbon resources. In situ combustion can be used to produce oil, especially viscous and immobile crudes, by heating the oil and reducing the viscosity of the hydrocarbon liquids allowing them to flow to production wells. In situ gasification can be used to convert deep carbonaceous materials into synthesis gas which can be used at surface for power generation and petrochemical applications. While both in situ combustion for oil recovery and in situ gasification of coal have been developed and demonstrated over many decades, the commercial applications of these techniques have been limited to date. There are many physical processes occurring during in situ combustion, including multi-phase flow, heat and mass transfer, chemical reactions in porous media and geomechanics. A key tool in analysing and optimising the technologies involves using numerical models to simulate the processes. This paper presents a brief review of mathematical modelling of in situ combustion and gasification with an emphasis on developing a generalised framework and describing some of the key challenges and opportunities.
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MILOVANOVICH, Ekaterina V., and Svetlana N. MAKSIMOVA (KUZNETSOVA). "MODELLING OF MICROBIOLOGICAL METHOD OF OIL RECOVERY IMPROVEMENT." Periódico Tchê Química 14, no. 27 (January 20, 2017): 56–64. http://dx.doi.org/10.52571/ptq.v14.n27.2017.56_periodico27_pgs_56_64.pdf.

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The problem of energy supply has been one of the most pressing issues for the humanity at all times. Oil is one of the most desired sources of energy. However, oil reserves are being depleted, and substantial amounts of subterranean residual oil cannot be extracted with the use of traditional methods, therefore requiring implementation of new technologies. The current paper suggests two mathematical models aimed to describe and predict implications of microbiological method of oil recovery improvement based on the currently available data, as well as to assess the efficiency of this method. The first model consists of partial differential equations that describe the process of expansion of microbial population through oil formation. The second model includes ordinary differential equations, describing growth and metabolism of bacterial cultures within the bottom-hole zone of the production well. The models were studied with the use of numerical grid and Euler methods. The modeling parameters were evaluated using the least squares method. The current paper includes the results of calculations performed on basis of the proposed models. Distribution profiles of the bacterial population and the metabolic products along the reservoir were obtained and studied; provided recommendations for practical implementation of the microbiological method.
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Pathak, Shreekant, and Twinkle Singh. "A mathematical modelling of imbibition phenomenon in inclined homogenous porous media during oil recovery process." Perspectives in Science 8 (September 2016): 183–86. http://dx.doi.org/10.1016/j.pisc.2016.04.028.

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Islam, M. R., and A. Chakma. "Mathematical modelling of enhanced oil recovery by alkali solutions in the presence of cosurfactant and polymer." Journal of Petroleum Science and Engineering 5, no. 2 (February 1991): 105–26. http://dx.doi.org/10.1016/0920-4105(91)90061-q.

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Patel, Kinjal R., Manoj N. Mehta, and Twinkle R. Patel. "A mathematical model of imbibition phenomenon in heterogeneous porous media during secondary oil recovery process." Applied Mathematical Modelling 37, no. 5 (March 2013): 2933–42. http://dx.doi.org/10.1016/j.apm.2012.06.015.

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Susanti, Ari Diana, Wahyudi Budi Sediawan, Sang Kompiang Wirawan, and Budhijanto Budhijanto. "Mathematical Modelling of Micronutrient Recovery from Vegetable Oil by Silica-based Adsorption: Vitamin E from Palm Fatty Acid Distillate." Equilibrium Journal of Chemical Engineering 1, no. 1 (January 10, 2017): 15. http://dx.doi.org/10.20961/equilibrium.v1i1.40363.

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Mathematical modelling on kinetics of batch adsorption of vitamin E separation from palm fatty acid distillate (PFAD) has been set-up and then applied for literature experimental data. Since the sizes of adsorbent particles used are usually relatively small, the concentration in the particles is assumed to be uniform. Hence, the adsorption rate is controlled by the rate of solute mass transfer from the bulk fluid to the surface of particles. In this model, the rate of mass transfer is assumed to be proportional to the concentration deviation from the equilibrium state. Meanwhile, the equilibrium models applied were coefficient distribution, Freundlich, and Langmuir with the values of the parameters obtained from literature data. It turned out that the model set-up can quantitatively describe the experimental kinetics data from literature. The value of mass transfer coefficient per unit adsorbent mass (kca) is obtained by curve fitting. It is also observed that the model proposed quantitatively describes the batch adsorption process well. The three equilibrium models applied are suitable for the mathematical modelling. Adjustment of the values of equilibrium isotherm parameters from literature significantly improves the accuracy of the model.
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Gołąbek, Andrzej, Wiesław Szott, Piotr Łętkowski, and Jerzy Stopa. "Similitude Analysis of Experiment and Modelling of Immiscible Displacement Effects with Scaling and Dimensional Approach." Energies 13, no. 19 (October 7, 2020): 5224. http://dx.doi.org/10.3390/en13195224.

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This paper presents the use of scaling and dimensional analysis to assess the viability of conventional modelling of immiscible displacement occurring when water is injected into the oil-saturated, porous rock—a conventional secondary oil-recovery method. A brief description of the laboratory tests of oil displacement with water performed on long core sets taken from wells operating on a Polish oil reservoir was presented. A dimensionless product generator based on dimensional analysis and Buckingham Π theorem was used to generate all possible combinatorial sets of dimensionless products for physical variables describing the phenomenon. The mathematical model of the phenomenon was transformed to its dimensionless form, using a selected set of the products. The results of the laboratory tests were analyzed as functions of the products. Statistically verified quantities describing both dependent and independent experiment variables were subject to a regression analysis to study dependencies of the experimental results upon selected dimensionless products. The degrees of the dependencies were determined and compared with the model coefficients. The conclusions are drawn for the purposes of model application to correctly describe the laboratory and, consequently, field scale processes of immiscible oil displacement by water.
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Lambert, Wanderson, and Maurício C. P. Loures. "A mathematical study on the viability of the geochemical flow for an enhanced oil recovery: A simplified model." Applied Mathematical Modelling 75 (November 2019): 678–91. http://dx.doi.org/10.1016/j.apm.2019.04.061.

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Lu, Yun-guang, Changfeng Xue, and Christian Klingenberg. "Global entropy solutions for systems modelling polymer flooding in enhanced oil recovery." Applied Mathematics Letters 122 (December 2021): 107495. http://dx.doi.org/10.1016/j.aml.2021.107495.

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Semanov, G. N., A. N. Gutnik, S. N. Zatsepa, A. A. Ivchenko, V. V. Solbakov, V. V. Stanovoy, and A. A. Shivaev. "Net environmental benefit analysis — a tool of decision-making at oil spill response." Arctic: Ecology and Economy, no. 1(25) (March 2017): 47–58. http://dx.doi.org/10.25283/2223-4594-2017-1-47-58.

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Development of oilfields started in Arctic requires adequate response preparedness to potential oil spills. Mechanical recovery due to specific conditions of Arctic has a lot of limitation in application and cannot prevent pollution of Special protected areas (SPA). It is necessary to consider application of dispersants and in situ burning (ISB). Oil spill dispersants are mixtures of nontoxic surface active agents in organic solvent, specifically formulated to enhance the natural dispersion of oil into the sea water column thus enhancing the biodegradation processes. Dispersed oil is practically non adhesive to feather of birds and hair of mammals. The treatment of oil with dispersants requires a cautious strategy in making decisions. It can be achieved by usage of special tool –Net Environmental Benefit Analysis (NEBA) procedures. The decision of dispersants application should be based on the following comparison: “What would be the impact of the pollution when treated with dispersant and when non treated with dispersant?” The NEBA should consider the behaviour of the treated non-treated oil, assess consequently the different resources which will be concerned either by the treated oil or by the surface film oil, assess the sensitivity of the different resources at concern towards the dispersed oil and toward the floating oil film. These analyses assist decision makers when considering whether or not the use of dispersants is appropriate to minimize the environmental/economic damage. This article describes the experience of NEBA application to substantiate decisions how to respond to potential oil spills at the sites on Aniva bay of Sakhalin-2 project at different oil spills scenarios. It was used incremental approach to choose them. Based on sensitivity maps, information about level of impact dispersed and floating oil on bioresources and results of mathematical modelling efficacy of different response methods application: monitoring (no actions to recover spilt oil), mechanical recovery and mechanical recovery together with dispersants application it was shown that SPA can be protected from pollution in most scenarios only in case of dispersants application. Amount of oil stranded on shore in case of application of response method was used as criteria of efficacy of method application level of damage.
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Dissertations / Theses on the topic "Mathematical modelling of oil recovery"

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Davies, R. "Mathematical modelling of in-situ combustion for enhanced oil recovery." Thesis, University of Bath, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383201.

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In-situ combustion is an oil recovery technique in which air, or oxygen enriched air is injected into a reservoir in order to displace the oil. Under suitable conditions the oxygen will burn with part of the oil, raising the temperature of the reservoir and reducing the viscosity of the oil, hence allowing it to flow more easily. A serious problem with mathematical modelling of in-situ combustion is that of flame extinction due to grid block size effects. When modelling a field scale process using finite difference techniques the grid block size will be far larger than the flame length. Since parameters such as temperature and saturations are averaged over a grid block they will be misrepresented in the Arrhenius reaction rate equation, and the flame may die out. The approach taken to overcome the problem is to decouple the flame from a conventional finite difference simulator and solve separately for the reaction rate and flame velocity. This is achieved using a steady state analysis that applies a reduced set of the conservation equations in a moving frame over the flame region, and solves the resulting eigenvalue problem using a shooting method. The reaction rate and flame velocity determined by the steady state analysis are then used to apply the 'thin flame' technique to the conventional simulator. This treats the flame as a moving heat source and displacing pump, travelling through the domain with the velocity obtained by the steady state analysis. The steady - state analysis is compared with experimental results glvmg good agreement for the flame parameters. The thin flame method produces excellent agreement with the conventional simulator on laboratory scale simulations, and on field scale simulations it greatly reduces the problems associated with grid block size effects.
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Brown, Rebecca L. "The optimisation of heavy oil recovery." Thesis, University of Reading, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277115.

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Foroozesh, Jalah. "Mathematical modelling and numerical simulation of carbonated water injection for enhanced oil recovery and CO2 storage." Thesis, Heriot-Watt University, 2015. http://hdl.handle.net/10399/3236.

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Numerical simulation of carbonated water injection (CWI) as an EOR and CO2 storage technique is studied in this thesis. When carbonated water (CO2 saturated water) contacts oil during injection into oil reservoirs, because of higher solubility of CO2 in hydrocarbons compared to water, CO2 will migrate from water into oil phase. Therefore, oil mobility, and in turn oil recovery, will increase. In addition, CO2 can also be stored securely in reservoir during CWI. The compositional simulation approach should be used for simulation of CWI in order to capture the mechanisms and the changes of composition happening during CWI process. However, the conventional compositional approach is based on the assumption of instantaneous thermodynamic equilibrium. That is, it assumes that the CO2 is transferred and distributed between oil and water phases very fast such that the thermodynamic equilibrium state is reached instantaneously. However, the CWI coreflood experiments presented in the literature show that during CWI, the CO2 transfer between water and oil phases happens slowly and therefore, the assumption of instantaneous equilibrium is not valid during the simulation of CWI coreflood experiments. As a result, the available compositional simulators cannot simulate CWI coreflood experiments correctly. Hence, in this thesis, a new compositional simulator is developed, in which the assumption of instantaneous equilibrium is relaxed by including the kinetics of mass transfer. To evaluate the performance of the developed simulator and to explore its generic capability, two different sets of CWI coreflood experiments performed in a water-wet and a mixed-wet (aged) sandstone core are selected from the literature. These coreflood experiments are simulated and studied in detail including the role of oil swelling and wettability alteration during CWI process. The simulator can predict the production profiles of oil, water and CO2; the CO2 storage profile; the differential pressure across the core and the CO2 concentration in oil and water phases. The impacts of dispersion, injection rate and carbonation level on the performance of CWI process are investigated using the developed simulator. The simulator shows that the dispersion effect on oil production is minimal here during the coreflood experiments. It is also shown that at low injection rates and high carbonation levels, higher oil recovery will be obtained by CWI. In addition, at low injection rates, more CO2 can be stored in core during the coreflood experiments with a lower and delayed CO2 production at the core outlet. Moreover, the compositional simulator of ECLIPSE300 (E300) is used to simulate the CWI coreflood experiments and its capability is compared to the capability of the developed simulator. E300 over predicts the oil recovery of CWI coreflood experiments due to the assumption of instantaneous equilibrium made by ECLIPSE 300. A dimensionless number so-called equilibrium number (Ne) is introduced and it is shown that at a specific range of Ne values, the assumption of instantaneous equilibrium made by E300 is acceptable. Accordingly, it is shown that at reservoir-scale, the system will reach the equilibrium state and therefore E300 can be used to simulate the CWI process at reservoir-scale. Based on this, finally, the reservoir-scale simulation of CWI is studied employing the ECLIPSE300 simulator. The impacts of some influential parameters on CWI performance are investigated using the results of reservoir-scale simulation.
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Dainton, M. P. "Numerical methods for the solution of uncertain differential equations with application in numerical modelling of oil recovery from underground reservoirs." Thesis, University of Reading, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262009.

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Begum, Najida. "Mathematical modelling of dermatological disease and recovery." Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/34312.

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The National Health Service in the UK spends over £1bn every year treating dermatological conditions such as chronic wounds. These wounds exhibit poor vascularisation prone to polymicrobial infections where slow- or non-healing are typical, and spend prolonged periods in the inflammatory stage. Chronic wounds such as leg and foot ulcers develop in patients with illnesses such as diabetes, where circulation is compromised and regular treatment and monitoring are essential. Many management strategies and new therapies have been introduced to combat chronic wounds and include growth factor therapy and skin substitutes. Although one of the greatest concerns is preventing an acute wound becoming chronic, and retrieving the normal healing before amputations are needed. Other dermatological conditions such as psoriasis affects 2–3% of the UK's population and shares some common traits with the wound healing phenomena, however mathematical models in this area are scarce. The thesis proposes a number of new mathematical models, to describe dermatological skin growth and recovery in both the epidermal and dermal membranes.
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Al-Abbasi, Adel. "Steam-flood modelling." Thesis, University of Bath, 1988. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383305.

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Mohammadi, Shahrokh. "Stochastic modelling of capillary dominated gas condensate flow in porousmedia." Thesis, Heriot-Watt University, 1993. http://hdl.handle.net/10399/1451.

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Morton, Alison. "Higher order Godunov IMPES compositional modelling of oil reservoirs." Thesis, University of Reading, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320187.

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Onwuasoanya, Daniel I. "Development and mathematical modelling of affinity system based on novel matrix." Thesis, University of Bath, 1987. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377998.

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Yang, Canghu. "Mathematical modelling of the flow of water and oil through polymer gels." Thesis, Imperial College London, 2001. http://hdl.handle.net/10044/1/11297.

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Books on the topic "Mathematical modelling of oil recovery"

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Reservoir simulation: Mathematical techniques in oil recovery. Philadelphia, PA: SIAM/Society for Industrial and Applied Mathematics, 2007.

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Bedrikovetsky, Pavel. Mathematical Theory of Oil and Gas Recovery. Edited by Gren Rowan. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2205-6.

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Ehrhardt, Matthias, ed. Mathematical Modelling and Numerical Simulation of Oil Pollution Problems. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16459-5.

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Sinvhal, Amita. Seismic modelling and pattern recognition in oil exploration. Dordrecht, The Netherlands: Kluwer Academic Publishers, 1992.

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Munka, Margit. 4D numerical modeling of petroleum reservoir recovery. Budapest: Akadémiai Kiadó, 2001.

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Bedrikovetsky, Pavel. Mathematical Theory of Oil and Gas Recovery: With Applications to ex-USSR Oil and Gas Fields. Dordrecht: Springer Netherlands, 1993.

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Bedrikovetsky, Pavel. Mathematical theory of oil and gas recovery: With applications to ex-USSR oil and gas fields. Dordrecht: Kluwer Academic, 1993.

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Regional Workshop on Oil Spill Modelling (1996 Pusan, Korea). Oil spill modelling in the East Asian region with special reference to the Malacca Straits: Proceedings of the Regional Workshop on Oil Spill Modelling, 31 May to 3 June 1996, Pusan, Republic of Korea. Quezon City, Philippines: GEF/UNDP/IMO Regional Programme for the Prevention and Management of Marine Pollution in the East Asian Seas, 1997.

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European Conference on the Mathematics of Oil Recovery (5th 1996 Mining University Leoben). 5th European Conference on the Mathematics of Oil Recovery: ECMOR V : September 3-6, 1996, Mining University Leoben, Austria. Leoben: The Department, 1996.

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European Conference on the Mathematics of Oil Recovery (2nd 1990 Arles, France). 2nd European Conference on the Mathematics of Oil Recovery: Proceedings of presentations, held at Arles, France, September 11-14, 1990. Paris: Editions Technip, 1990.

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Book chapters on the topic "Mathematical modelling of oil recovery"

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Bedrikovetsky, Pavel, and Gren Rowan. "Analytical Water-Alternate-Gas Modelling." In Mathematical Theory of Oil and Gas Recovery, 327–47. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2205-6_18.

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Danaev, Nargozy, Darkhan Akhmed-Zaki, Saltanbek Mukhambetzhanov, and Timur Imankulov. "Mathematical Modelling of Oil Recovery by Polymer/Surfactant Flooding." In Communications in Computer and Information Science, 1–12. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25058-8_1.

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Yasuda, Masaya. "Simple Analysis of Key Recovery Attack Against LWE." In Mathematical Modelling for Next-Generation Cryptography, 221–38. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5065-7_12.

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Bedrikovetsky, Pavel, and Gren Rowan. "One-Dimensional Displacement of Oil by Chemical Solutions." In Mathematical Theory of Oil and Gas Recovery, 88–126. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2205-6_5.

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Bedrikovetsky, Pavel, and Gren Rowan. "One-Dimensional Motion of a Two-Phase System of Immiscible Liquids in a Porous Medium." In Mathematical Theory of Oil and Gas Recovery, 3–26. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2205-6_1.

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Bedrikovetsky, Pavel, and Gren Rowan. "The Inverse Problem of Determining the Degree of Sorption of a Chemical from Laboratory Data." In Mathematical Theory of Oil and Gas Recovery, 210–13. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2205-6_10.

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Bedrikovetsky, Pavel, and Gren Rowan. "An Analytical Model of Two-Dimensional Displacement of Oil from Reservoirs in a System of Wells." In Mathematical Theory of Oil and Gas Recovery, 214–22. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2205-6_11.

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Bedrikovetsky, Pavel, and Gren Rowan. "Chemical Flooding in Stratified Reservoirs." In Mathematical Theory of Oil and Gas Recovery, 223–32. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2205-6_12.

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Bedrikovetsky, Pavel, and Gren Rowan. "Methodology of the Application of 3D Analytical Models to Feasibility Studies and Design of Chemical Flooding Schemes." In Mathematical Theory of Oil and Gas Recovery, 233–38. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2205-6_13.

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Bedrikovetsky, Pavel, and Gren Rowan. "Displacement of Non-Newtonian Oil by Hot Water with Heat Losses to Adjacent Layers." In Mathematical Theory of Oil and Gas Recovery, 244–56. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2205-6_14.

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Conference papers on the topic "Mathematical modelling of oil recovery"

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H. Tehrani, D., G. Wang, A. Danesh, and J. M. Peden. "Mathematical Modelling of Condensate Film Flow by Gravity Drainage." In ECMOR IV - 4th European Conference on the Mathematics of Oil Recovery. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201411174.

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K. Pergament, A., A. V. Koldoba, Y. A. Poveschenko, and N. A. Simous. "The mathematical modelling of multi-phase flow in inhomogenous media." In ECMOR VII - 7th European Conference on the Mathematics of Oil Recovery. European Association of Geoscientists & Engineers, 2000. http://dx.doi.org/10.3997/2214-4609.201406101.

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Maliska, C. R., M. P. Tada, A. F. C. Silva, and A. B. Soprano. "Mathematical Modelling and Numerical Simulation of the Well-reservoir Coupling Flow." In ECMOR XIV - 14th European Conference on the Mathematics of Oil Recovery. Netherlands: EAGE Publications BV, 2014. http://dx.doi.org/10.3997/2214-4609.20141815.

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Le-Hussain, Furqan, Abbas Zeinijahromi, Pavel Bedrikovetski, Alexander Badalyan, Themis Carageorgos, and Yildiray Cinar. "Enhanced Oil Recovery Through Low Salinity Fines-Assisted Waterflooding: Laboratory and Mathematical Modelling." In SPE Asia Pacific Oil & Gas Conference and Exhibition. Society of Petroleum Engineers, 2014. http://dx.doi.org/10.2118/171525-ms.

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Tukhvatullina, R. R., and V. S. Posvyanskii. "Mathematical Modelling of Acid Treatment of the Bottom Hole Zone for Carbonate Reservoirs." In ECMOR XIII - 13th European Conference on the Mathematics of Oil Recovery. Netherlands: EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20143267.

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Shpilrain, E. E., L. B. Director, V. V. Kachalov, and V. M. Zaichenko. "Physical and Mathematical Modelling of Processes of Technological Action on the Oil Carrying Strata to Enhance the Oil Recovery." In IOR 2003 - 12th European Symposium on Improved Oil Recovery. European Association of Geoscientists & Engineers, 2003. http://dx.doi.org/10.3997/2214-4609-pdb.7.b035.

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N. Nikolaevskiy, V. "Mathematical modelling of sand production by plastic dilatant flow of fragmented matrix under filter forces." In ECMOR VII - 7th European Conference on the Mathematics of Oil Recovery. European Association of Geoscientists & Engineers, 2000. http://dx.doi.org/10.3997/2214-4609.201406127.

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M. Khasanov, M., and G. T. Bulgakova. "Mathematical Modelling of Non-Equilibrium and Non-Linear Effects in Two Phase Fluid Filtration Flow." In ECMOR VI - 6th European Conference on the Mathematics of Oil Recovery. European Association of Geoscientists & Engineers, 1998. http://dx.doi.org/10.3997/2214-4609.201406625.

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Demyanov, V., L. Foresti, M. Kanevski, and M. Christie. "Multiple Kernel Learning Approach for Reservoir Modelling." In 12th European Conference on the Mathematics of Oil Recovery. Netherlands: EAGE Publications BV, 2010. http://dx.doi.org/10.3997/2214-4609.20144962.

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Røe, P., F. Georgsen, A. R. Syversveen, and O. Lia. "Fault Displacement Modelling Using 3D Vector Fields." In 12th European Conference on the Mathematics of Oil Recovery. Netherlands: EAGE Publications BV, 2010. http://dx.doi.org/10.3997/2214-4609.20144968.

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Reports on the topic "Mathematical modelling of oil recovery"

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Morgan, David, Donald Remson, and Thomas McGuire. Conceptual and Mathematical Foundation for the FE/NETL CO2 Prophet Model for Simulating CO2 Enhanced Oil Recovery, Version 2. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1572936.

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