Decision-Making on Restriction of Water Inflows into Oil Wells in Dependence on the Type of Initial Information

Koilybayev, B.N.; Strekov, A. S.; Bissembayeva, K.; Mammadov, P.Z.; Akhmetov, D. A.; Kirisenko, O. G.

doi:10.1007/978-3-030-04164-9_113

Cited by 2 publications

(7 citation statements)

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“…Наиболее важными факторами, оказывающими влияние на эффективность разработки нефтяных месторождении, являются отношение подвижностей нефти и воды в пластовых условиях и неоднородность пласта по проницаемости [2]. С увеличением вязкости нефти коэффициент нефтеотдачи резко снижается.…”

Section: мұнайды әртүрлі маркалы полимерлермен ығыстыру процесінің ти...unclassified

“…Неоднородность пористой среды усугубляет неравномерность продвижения фронта вытеснения. В сильно неоднородных по проницаемости пластах, вытеснение даже маловязкой нефти приводит к преждевременному прорыву вытесняющего агента по наиболее проницаемым зонам пласта [2]. Вытеснение высоковязкой нефти сопровождается вязкостной неустойчивостью, которая устанавливается и в однородных пластах.…”

Section: мұнайды әртүрлі маркалы полимерлермен ығыстыру процесінің ти...unclassified

“…Повышению эффективности системы заводнения может способствовать применение методов физико-химического воздействия на продуктивные пласты [2].…”

Section: мұнайды әртүрлі маркалы полимерлермен ығыстыру процесінің ти...unclassified

“…Вытеснение нефти высоковязкими вытесняющими агентами приводит к гашению вязкостной неустойчивости и выравниванию фронта вытеснения в неоднородных НЕФТЕХИМИЯ пластах. Это позволяет повысить охват пласта заводнением и в конечном счете нефтеотдачу месторождении [2].…”

Section: мұнайды әртүрлі маркалы полимерлермен ығыстыру процесінің ти...unclassified

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Study of the Efficiency of Oil Displacement Process by Polymers of Different Grades

MOLDABAYEVA¹,

SYZDYKOV²,

BISSEMBAYEVA³

et al. 2022

NiG

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Currently, a large number of fields with high-viscosity oil are being developed. Increasing the degree of oil recovery from the subsoil of developed fields using effective methods of active influence is an important scientific and technical task for employees of oil producing enterprises. One of the most effective and promising methods for stabilizing oil production is physical and chemical technologies based on the injection of polymer compositions. Therefore, the authors of the article pursue the goal - to investigate the effectiveness of the use of polymer compositions for further recommendation for use in fields with high-viscosity oils and formations containing hard-to-recover reserves. The article provides an analysis of the results of the study of polymers, namely GL-50 and R-1 on rock samples of various well depths. In this regard, an experiment was carried out to displace oil with various displacing reagents. During the oil displacement experiment with various displacement reagents, the water saturation of the sample and the displacement efficiency were determined. Particular attention is paid to the rate of advancement of the flow of polymers and the propagation of molecules through pores of different diameters. The main goal of this experiment was to determine a more effective polymer for enhanced oil recovery. Comparison of oil displacement efficiency at the stages of polymer injection is given. In the course of the study, the results of determining the displacement coefficients of GL-50 and R-1 polymers were obtained. From the results obtained, it can be assumed that polymer grades have a significant impact on the degree of efficiency of the oil displacement process.

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Section: мұнайды әртүрлі маркалы полимерлермен ығыстыру процесінің ти...unclassified

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Study of the Efficiency of Oil Displacement Process by Polymers of Different Grades

MOLDABAYEVA¹,

SYZDYKOV²,

BISSEMBAYEVA³

et al. 2022

NiG

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“…Over the recent years, the issues of cluster analysis (sometimes also known as the issues of automated classification) have been used extensively in such spheres as economics, sociology, medicine, geology, oilfield development and other industries, where we deal with sets of objects of arbitrary nature described as x = {x1, x2, …, xN} vectors that have to be automatically divided into groups of homogeneous objects according to the criteria of similarities (within a homogeneous object or a cluster) and differences between these objects. Much has been published on psychological, sociological, economic, G&G, well drilling, oil and gas field development studies (Akhmetov et al, 2018;Koilybayev et al, 2018;Зайченко и Гончар, 2007).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Degree of Complexity of Tight Oil Recovery Based on the Classification of Oils

et al. 2020

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The article discusses the results of the use of cluster analysis in assessing the degree of oil recovery complexity and its impact on the performance indicator. For this purpose, clustering was performed using a fuzzy cluster analysis algorithm. It should be noted that along with the deposits of heavy and highly viscous oils, a large share of hard-to-recover reserves is also confined to conditions with very low reservoir permeability values. Data on viscosity, oil density and oil permeability of in-situ conditions from various fields of Kazakhstan are collected. Using the results of this classification, a statistical analysis of indicators of various types of hard-torecover oils was performed. In the process of analysis, a generalized characteristic was determined for each class of oil, including viscosity, oil density and reservoir permeability. The generic characteristic is a linear transformation of the three characteristics. The results were subjected to statistical processing. At the same time, an attempt was made to establish and analyze the relationship between the degree of recovery complexity of hard-to-recover oils and oil recovery coefficient. In the course of the analysis, the average values of the oil recovery coefficient and the index of the degree of recovery complexity of hard-to-recover oil within each cluster were calculated and the relationship between them was plotted. The observed dependence, built on averaged points, is close to a power law, and, as one would expect, with an increase in the degree of oil recovery complexity, the oil recovery coefficient falls. The obtained estimates of the degree of oil recovery complexity allow us to rank different types of oils by their viscosity, density and reservoir permeability, which can be used to compare types of hard-to-recover oils by the value of the quality indicator. Methods to solve the problem of hard-to-remove high-viscosity and heavy oils should be aimed at reducing the viscosity of oil in the reservoir: injection of hot water / steam into the reservoir, the use of electric heaters, etc. Purpose. Assessment of the degree of oil recovery complexity and its impact on the efficiency of field development. The technique. The solution of the tasks set in the work was carried out on the method of mathematical statistics and the theory of fuzzy sets. In this case, the methods of processing the results, the correlation analysis, and the algorithm of fuzzy cluster analysis were used. Results. As a result of studies, 4 classes were obtained, each of which characterizes the degree of oil recovery complexity, a parameter was proposed for quantifying the degree of complexity, including oil density and viscosity, reservoir permeability, a relationship between this parameter and oil recovery coefficient was obtained. Scientific novelty. A classification of hard-to-recover reserves based on a fuzzy cluster analysis has been performed, and a parameter has been proposed for quantifying the degree of oil recovery complexity, a relationship has been obtained that allows judging the oil recovery by the degree of oil recovery complexity. Practical significance. The results obtained make it possible to classify hard-to-recover reserves and make decisions on the choice of methods for influencing the reservoir in various geological conditions.

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Decision-Making on Restriction of Water Inflows into Oil Wells in Dependence on the Type of Initial Information

Cited by 2 publications

References 3 publications

Study of the Efficiency of Oil Displacement Process by Polymers of Different Grades

Study of the Efficiency of Oil Displacement Process by Polymers of Different Grades

Evaluating the Degree of Complexity of Tight Oil Recovery Based on the Classification of Oils

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