Non-linear filtration models and the effect of nonlinearity parameters on flow rates in low-permeability reservoirs

Зайцев, М. В.; Михайлов, Н. Н.; Tumanova, E.S.

doi:10.18599/grs.2021.4.5

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…With an increase in the pressure gradient, the filtration rate of the polymer solution increases by a smaller amount than that when filtering pure water (Figure 4 [35]).…”

Section: Displacement Of Oil From the Reservoir By Polymer Solutionsmentioning

confidence: 99%

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Overview of Methods for Enhanced Oil Recovery from Conventional and Unconventional Reservoirs

Malozyomov,

Martyushev,

Kukartsev

et al. 2023

Energies

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In world practice, the role of reproduction of raw material base of oil production by implementing modern methods of oil recovery enhancement (thermal, gas, chemical, microbiological) on the basis of innovative techniques and technologies is rapidly growing and is becoming more important. It is concluded that at present, the priority of increasing oil reserves in world oil production is the development and industrial introduction of modern integrated methods of enhanced oil recovery, which can provide a synergistic effect in the development of new and developed oil fields. This article presents a review and comparative analysis of theoretical and practical methods of improving oil recovery of conventional and unconventional reservoirs. The paper examines in detail methods of improving oil recovery, taking into account the factors of enhanced oil recovery of oil reservoirs. Considered the main methods and technologies currently used to develop oil fields and recommendations for their effective use, taking into account the variety of external factors of oil production: the geological structure of the reservoir, its volume, and properties of oils. It is shown that there is no universal method of oil reservoir development, and it must be chosen after a thorough feasibility study among several proposed models. When describing the methods of enhanced oil recovery, special attention is also paid to the physical processes that occur as a result of applying the technology. In conclusion, the positive and negative characteristics of the presented methods included in EOR are presented, and recommendations that may influence the choice of practical solutions for engineers and oil producers are given. Conclusions are made that development systems, placement and choice of operating mode of wells essentially depend on the geological structure of the reservoir, its volume and properties of oils. An important role in this is the construction of a geological model of the production facility. The used hydrodynamic models of development are based on physical laws, about which oil producers sometimes don’t even suspect, and the authors of the models are not always able to convey it to the real producers. The authors consider it reasonable to make a logical generalizing conclusion that understanding processes occurring in the reservoir and taking appropriate measures for optimization and intensification of oil production will allow making oil production as effective as possible.

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“…With an increase in the pressure gradient, the filtration rate of the polymer solution increases by a smaller amount than that when filtering pure water (Figure 4 [35]).…”

Section: Displacement Of Oil From the Reservoir By Polymer Solutionsmentioning

confidence: 99%

“…With an increase in the pressure gradient, the filtration rate of the polymer solution increases by a smaller amount than that when filtering pure water (Figure 4 [35]). Along with surfactants, adsorption is observed during filtration of an aqueous solution of PAA.…”

Section: Displacement Of Oil From the Reservoir By Polymer Solutionsmentioning

confidence: 99%

Overview of Methods for Enhanced Oil Recovery from Conventional and Unconventional Reservoirs

Malozyomov,

Martyushev,

Kukartsev

et al. 2023

Energies

View full text Add to dashboard Cite

show abstract

Localization and development of residual oil reserves using geochemical studies based on neural network algorithms

et al. 2022

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At the late stage of field development, residual oil reserves undergo a significant change from mobile to sedentary and stationary. These reserves are mainly located in technogenically and production altered, watered layers and areas of deposits. Localization and development of such sources of hydrocarbons is an effective method of increasing the final oil recovery factor in mature fields, due to the presence of a ready-made developed infrastructure for production, transportation and refining, as well as the availability of highly qualified personnel. This article considers an approach that allows, based on neural network algorithms, the estimation the volumes and localization of residual oil reserves in multi-layer deposits in combination with the analysis of geochemical studies of reservoir fluids. The use of machine learning algorithms allows a targeted approach to the development of residual reserves by automated selection of wellwork. This approach significantly reduces the manual labor of specialists for data processing and decision-making time.

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Non-linear filtration models and the effect of nonlinearity parameters on flow rates in low-permeability reservoirs

Cited by 2 publications

References 6 publications

Overview of Methods for Enhanced Oil Recovery from Conventional and Unconventional Reservoirs

Overview of Methods for Enhanced Oil Recovery from Conventional and Unconventional Reservoirs

Localization and development of residual oil reserves using geochemical studies based on neural network algorithms

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