M. Radosavljević, M. Naugolnov, Milos Bozic, R. Sukhanov
{"title":"Restoration of Seismic Data Using Inpainting and EdgeConnect","authors":"M. Radosavljević, M. Naugolnov, Milos Bozic, R. Sukhanov","doi":"10.2118/206523-ms","DOIUrl":"https://doi.org/10.2118/206523-ms","url":null,"abstract":"\u0000 Missing seismic data is largely present problem in the world. Lack of seismic data usually occurs due to some form of natural obstacle or legislative prohibitions of seismic exploration. Restoration of seismic data would allow locating of new oil traps and reduce the risk of unsuccessful drillings. The approach is based on deep learning (image inpainting) techniques, which will be applied on inline and crossline sections of a given 3-d seismic cube, in order to restore missing parts of sections. The study was provided for non-commercial purpose for the aims of scientific research. Data used in our experiments comes from open source typical Western Siberia field. Our approach uses Generative Adversarial Networks (GANs) for completing missing parts of images (sections), based on known parts. Method can be used for restoration of arbitrarily-shaped missing parts of seismic cube, but also for extrapolation purposes. Metrics used for model evaluation are correlation coefficient and mean absolute percentage error (MAPE) between original and inpainted parts of data.\u0000 This paper applies modern approach from growing image inpainting field to restore missing data, even if it's irregularly-shaped and very large. Using very powerful GANs is what gives this model ability to learn difficult inpainting scenarios, but also implicates challenging and time-consuming training process. Accurate estimation of model performances in different scenarios provides an exact instruction manual for a geologist, which helps him to identify cases where our model should be applied.","PeriodicalId":11052,"journal":{"name":"Day 3 Thu, October 14, 2021","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73796742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Dadakin, M. Nukhaev, K. Rymarenko, S. Grishenko, Galymzan Aitkaliev, V. Kabanov, Tatyana Gusachenko, A. Zaitsev
{"title":"Technology For Oil Production Wells Drawdown and Gor Control For Oil Rim Reservoir Development on the Yurubcheno-Tokhomskoye Field.","authors":"N. Dadakin, M. Nukhaev, K. Rymarenko, S. Grishenko, Galymzan Aitkaliev, V. Kabanov, Tatyana Gusachenko, A. Zaitsev","doi":"10.2118/206476-ms","DOIUrl":"https://doi.org/10.2118/206476-ms","url":null,"abstract":"\u0000 One of the critical tasks during the oil rim development is to control production wells to prevent water breakthroughs and gas outs. Key factors are control over drawdown and on-time choke restriction of the well in case of a gas out and an extreme gas factor increase.","PeriodicalId":11052,"journal":{"name":"Day 3 Thu, October 14, 2021","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74057864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Bezkhodarnov, T. Chichinina, M. Korovin, V. V. Trushkin
{"title":"Prediction of Reservoir Properties from Seismic Data by Multivariate Geostatistics Analysis","authors":"V. Bezkhodarnov, T. Chichinina, M. Korovin, V. V. Trushkin","doi":"10.2118/206595-ms","DOIUrl":"https://doi.org/10.2118/206595-ms","url":null,"abstract":"A new technique has been developed and is being improved, which allows, on the basis of probabilistic and statistical analysis of seismic data, to predict and evaluate the most important parameters of rock properties (including the reservoir properties such as porosity and permeability), that is, oil saturation, effective thicknesses of reservoirs, their sand content, clay content of seals, and others; it is designed to predict the reservoir properties with sufficient accuracy and detail, for subsequent consideration of these estimates when evaluating hydrocarbon reserves and justifying projects for the deposits development. Quantitative reservoir-property prediction is carried out in the following stages: –Optimization of the graph (\"scenario\") of seismic data processing to solve not only the traditional structural problem of seismic exploration, but also the parametric one that is, the quantitative estimation of rock properties.–Computation of seismic attributes, including exclusive ones, not provided for in existing interpretation software packages.–Estimation of reservoir properties from well logs as the base data.–Multivariate correlation and regression analysis (MCRA) includes the following two stages: Establishing correlations of seismic attributes with estimates of rock properties obtained from well logs.Construction of multidimensional (multiple) regression equations with an assessment of the \"information value\" of seismic attributes and the reliability of the resulting predictive equations. (By the \"informative value\" we mean the informativeness quality of the attribute.)–Computation and construction of the forecast map variants, their analysis and producing the resultant map (as the most optimal map version) for each predicted parameter.–Obtaining the resultant forecast maps with their zoning according to the degree of the forecast reliability. The MCRA technique is tested by production and prospecting trusts during exploration and reserves’ estimation of several dozen fields in Western Siberia: Kulginskoye, Shirotnoye, Yuzhno-Tambaevskoye, etc. (Tomsk Geophysical Trust, 1997-2002); Dvurechenskoe, Zapadno-Moiseevskoe, Talovoe, Krapivinskoe, Ontonigayskoe, etc. (TomskNIPIneft, 2002–2013).","PeriodicalId":11052,"journal":{"name":"Day 3 Thu, October 14, 2021","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80358530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Samoilov, V. N. Astafyev, Evgeny Faritovich Musin
{"title":"Multistage Hydraulic Fracturing of the Tyumen Suite Reservoirs of Em-Yogovskoye Field: Frac-Design, Practice, Results","authors":"M. Samoilov, V. N. Astafyev, Evgeny Faritovich Musin","doi":"10.2118/206651-ms","DOIUrl":"https://doi.org/10.2118/206651-ms","url":null,"abstract":"\u0000 The paper describes a system of approaches to the design and engineering support of multistage hydraulic fracturing: A method of developing multiple-option modular design of multistage hydraulic fracturing which is a tool for operational decision-making in the process of hydraulic fracturing.Building a Hydraulic Fracturing Designs Matrix when optimizing field development plans. The result was used to build decision maps for finding well completion methods and selecting a baseline hydraulic fracturing design.\u0000 The paper also describes how the systematization of approaches, methodological developments, and decision templates can help in optimizing field development by drilling directional and horizontal wells followed by multi-stage hydraulic fracturing. The sequence of events and tasks that led to the development of the methodology, as well as its potential, is briefly described.\u0000 The methodologies were developed during the execution of a hydraulic fracturing project at JK 29 reservoirs of the Tyumen Suite of Em-Yogovskoye field, after which they were applied in a number of other projects for the development of hard-to-recover hydrocarbon reserves in West Siberia.","PeriodicalId":11052,"journal":{"name":"Day 3 Thu, October 14, 2021","volume":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87669819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Yakimchuk, D. Korobkov, V. Pletneva, O. Ridzel, I. Varfolomeev, I. Reimers, Ilia Safonov, N. Evseev, O. Dinariev, A. Denisenko, A. Samokhvalov, V. Khan, A. Kusov, E. Tyurin, Aleksandr Korolev, R. Sitdikov, Evgeny Maksimov, O. Loznyuk
{"title":"Study of Reservoir Properties of Turonian Formation Using Digital Core Analysis","authors":"I. Yakimchuk, D. Korobkov, V. Pletneva, O. Ridzel, I. Varfolomeev, I. Reimers, Ilia Safonov, N. Evseev, O. Dinariev, A. Denisenko, A. Samokhvalov, V. Khan, A. Kusov, E. Tyurin, Aleksandr Korolev, R. Sitdikov, Evgeny Maksimov, O. Loznyuk","doi":"10.2118/206584-ms","DOIUrl":"https://doi.org/10.2118/206584-ms","url":null,"abstract":"\u0000 The work demonstrates results of reservoir properties evaluation using a complex of laboratory and multiscale digital core or digital rock analysis. Rock properties (including relative phase permeabilities) were studied at different scales: from nanometers to meter (whole core).\u0000 For the first time, cores from Turonian formation were characterized with digital rock analysis, which provided stationary relative permeabilities for gas-water under reservoir conditions. Lab determination of relative permeabilities was rather challenging for some low-permeability samples (<0.02 md), while digital analysis was successful even for them. Gas recovery in a depletion mode from different rock types was studied on a whole core model for different capillary pressures. Such studies are not conducted in the lab.","PeriodicalId":11052,"journal":{"name":"Day 3 Thu, October 14, 2021","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84609360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nikolay Mikhaylovich Migunov, A. Alekseev, D. Bukharov, V. Kuznetsov, Aleksandr Yuryevich Milkov, A. Prodan, T. Shevchuk, Georgy Aleksandrovich Shipilin
{"title":"Increasing the Productivity of Horizontal Wells Through Multistage Hydraulic Fracturing Using a Working Fluid Based on a New Biopolymer System","authors":"Nikolay Mikhaylovich Migunov, A. Alekseev, D. Bukharov, V. Kuznetsov, Aleksandr Yuryevich Milkov, A. Prodan, T. Shevchuk, Georgy Aleksandrovich Shipilin","doi":"10.2118/206655-ms","DOIUrl":"https://doi.org/10.2118/206655-ms","url":null,"abstract":"\u0000 According to the US Energy Agency (EIA), Russia is the world leader in terms of the volume of technically recoverable \"tight oil\" resources (U.S. Department of Energy, 2013). To convert them into commercial production, it is necessary to create cost-effective development technologies. For this purpose, a strategy has been adopted, which is implemented at the state level and one of the key elements of which is the development of the high-tech service market. In 2017, the Minister of Energy of the Russian Federation, in accordance with a government executive order (Government Executive Order of the Russian Federation, 2014), awarded the Gazprom Neft project on the creation of a complex of domestic technologies and high-tech equipment for developing the Bazhenov formation with the national status. It is implemented in several directions and covers a wide range of technologies required for the horizontal wells drilling and stimulating flows from them using multi-stage hydraulic fracturing (MS HF) methods.\u0000 Within the framework of the technological experiment implemented at the Palyanovskaya area at the Krasnoleninskoye field by the Industrial Integration Center \"Gazpromneft - Technological Partnerships\" (a subsidiary of Gazprom Neft), from 2015 to 2020, 29 high-tech wells with different lengths of horizontal wellbore were constructed, and multistage hydraulic fracturing operations were performed with various designs. Upon results of 2020, it became possible to increase annual oil production from the Bazhenov formation by 78 % in comparison with up to 100,000 tons in 2019. The advancing of development technologies allowed the enterprise to decrease for more than twice the cost of the Bazhenov oil production from 30 thousand rubles per ton (69$/bbl) at the start of the project in 2015 to 13 thousand rubles (24$/bbl) in 2020.\u0000 A significant contribution to the increase in production in 2020 was made by horizontal wells, where MS HF operations were carried out using an experimental process fluid, which is based on the modified Si Bioxan biopolymer. This article is devoted to the background of this experiment and the analysis of its results.","PeriodicalId":11052,"journal":{"name":"Day 3 Thu, October 14, 2021","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84311736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ekaterina Yurievna Ivanova, D. I. Khokhlov, Andrey Viktorovich Shangin, P. Nesterov, Evgeniy Vitalevich Britov, G. G. Arzamastsev
{"title":"Problem of Gas Breakthrough Solved through Installation of Recompletion Assembly with Autonomous Gas Inflow Control Devices AGICD in Oil Producing Wells","authors":"Ekaterina Yurievna Ivanova, D. I. Khokhlov, Andrey Viktorovich Shangin, P. Nesterov, Evgeniy Vitalevich Britov, G. G. Arzamastsev","doi":"10.2118/206512-ms","DOIUrl":"https://doi.org/10.2118/206512-ms","url":null,"abstract":"\u0000 During the field tests in oil producing wells at the Verkhnechonskoye field there were autonomous gas inflow control devices (hereinafter referred to as AGICD) applied for the first time as part of a recompletion assembly.\u0000 The recompletion technology is based on a well completion design solution with AGICD which consists in dividing the liner into intervals, equalizing the total inflow and restriction of the inflow of adverse fluids in producing wells with increasing flowrates of adverse fluids as well as wells shut in due to water/gas breakthroughs.\u0000 The recompletion assembly is run into the previously lowered liner equipped with sand screens and divided into several zones by swellable packers.\u0000 The new assembly essentially features the classical completion assembly but comprising original 73-mm-tubing-based equipment such as a shoe, cup packers, a packer hanger, and centralizers. The equipment design allows for its complete retrieval if necessary. Since oil contains a lot of solids and deposits of asphalts, resins, and paraffins, the recompletion assembly has a flush valve enabling acid cleanout of the pay zone of the formation during the operation.\u0000 In order to prepare for the recompletion assembly to be run in, intense analytical work was done to study the candidate wells and geological conditions and peculiarities of the Verkhnechonskoye field, to analyze the open hole logging data and the oilfield geophysics vs. its hydro-dynamic model data.\u0000 During the field trials, recompletion assemblies were run in two wells of the Verkhnechonskoye field and monitored to assess their operation with AGICD within a set period of time. Then the equipment was pulled out and the wells were monitored again without AGICD. The findings provided the basis for the assessment of the equipment operation.\u0000 The analysis of the trials results showed that the equipment is prepared, run in the hole and retrieved in normal mode. The qualitative AGICD performance indicators are based on the stable well operation within the total nonfailure operating time after the recompletion assembly is run in the hole. The quantitative AGICD performance indicators are defined by the achieved gas ratio decrease and oil flowrate rise.\u0000 The trials also confirmed the convergence of the AGICD expected and field-proven performance indicators which makes it possible to plan precisely well operation modes when using recompletion equipment.\u0000 The trials findings prove that the recompletion technology is reasonable for wells with high rates of non-targeted fluids as well as idling wells (due to water/gas breakthrough) to make them active again.","PeriodicalId":11052,"journal":{"name":"Day 3 Thu, October 14, 2021","volume":"417 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78804395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Penigin, E. Sergeev, A. Varavva, A. F. Yamaletdinov
{"title":"Efficiency Survey of a Drainage Wellbore and Well Placement in Gas Fields","authors":"A. Penigin, E. Sergeev, A. Varavva, A. F. Yamaletdinov","doi":"10.2118/206582-ms","DOIUrl":"https://doi.org/10.2118/206582-ms","url":null,"abstract":"\u0000 The paper describes the assessment process of methods for the construction and operation of gas wells with a large water-gas ratio. One of the ways to tackle the issue of poor performance of high WGR wells is to drill a drainage wellbore with an ESP to lift accumulating water. In addition, various configurations of well placement through gas-bearing and water-bearing reservoirs have been considered.\u0000 To evaluate the efficiency of a drainage wellbore with an ESP installed for lifting water that comes from the main, productive, wellbore, industry-recognized non-stationary dynamic multiphase flow simulator was used, as well as a more refined tool, such as the physical simulator based on the finite volume method (computational fluid dynamics, CFD). A non-stationary dynamic simulator was also used to assess the impact of well placement through gas- and water-bearings reservoirs. Well data, fluid data, physical parameters were entered into the models and, by varying the input parameters, dependencies and results were obtained, allowing to draw a conclusion about the efficiency of each method, as well as about the software capabilities and limitations.\u0000 The applicability and technical efficiency of an additional drainage borehole with an ESP tto ensure stable operation / high productivity of the well strongly depend on the value of the water-gas ratio, the higher it is, the lower the efficiency of the method. In addition, efficiency also decreases with increasing gas rate. To assess the correctness of the calculation made with dynamic multiphase flow simulator, which is the industry standard, a verification calculation was also carried out on a physical simulator using the finite volume method, which shows the same trends, but with different absolute values. It also made it possible to assess the influence of the geometry factor on the distribution of flows, which could not be done by the non-stationary multiphase flow simulator. Apart from this, it was concluded that the location of a water-bearing reservoir in the last lower part of the wellbore is preferable, since then the impact on production is less than when it is located above the gas-bearing interval. Changing the well layout to a U-shaped one affects the dynamics of its operation insignificantly.\u0000 The study helps to answer the question about the efficiency of using a borehole with an ESP and about the degree of influence of drilling through gas- and water-bearing reservoirs using the example of a real field, as well as it presents the method of conducting such an assessment for other fields.","PeriodicalId":11052,"journal":{"name":"Day 3 Thu, October 14, 2021","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85888219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roman Gorbachev, A. Gubaev, A. Lubnin, A. Chorny, V. Kurbanov
{"title":"Selecting and Modifying Multiphase Correlations for Gas-Lift Wells Using Machine Learning Algorithms","authors":"Roman Gorbachev, A. Gubaev, A. Lubnin, A. Chorny, V. Kurbanov","doi":"10.2118/206531-ms","DOIUrl":"https://doi.org/10.2118/206531-ms","url":null,"abstract":"\u0000 In the conditions of the development of the oil fields of the Cuu Long Basin in the continental shelf of the Republic of Vietnam, in the absence of downhole gauge systems, the urgent task is improving the accuracy of the calculation of bottomhole pressure in the producing wells based on the operation modes and construction.\u0000 The aim of the paper is to create tools for selecting and modifying the correlation of multiphase flow most suitable for the development of a particular group of fields, as well as to develop a tool to implement effective management of the modes of operation of gas-lift wells by choosing the optimal gaslift injection rate.\u0000 Based on data from 814 instrumental measurements in wells with different construction, liquid flow rate, watercut, GOR and gaslift injection, the calculation of bottom hole pressures was made.\u0000 The calculated and actual bottomhole pressures were compared with five correlations of multiphase flow, the most suitable correlations were determined and modified, including using machine learning methods, which helped to significantly improve the convergence of calculated and actual bottomhole pressures.\u0000 On the basis of the newly modified correlation, a calculation of bottom hole pressure (BHP) in each production well was made, the calculation of the change in bottomhole pressure when changing the operating modes of wells has been implemented.\u0000 For the field group of the Cuu Long Basin, it was revealed that with the increase in watercut in the producing wells significantly reduces the efficiency of the gas-lift method of operation. This effect is not reflected in the widespread correlations of multiphase flow, which does not allow to use the results of calculations without making additional edits.\u0000 A way to adapt the calculation values to instrumental measurements has been implemented, one of the known correlations has been modified and used in the forecast of changes in bottomhole pressure after changes in operating modes of wells throughout the well stock.","PeriodicalId":11052,"journal":{"name":"Day 3 Thu, October 14, 2021","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83532094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of Digital Rock Analysis for Evaluation of Gas-Condensate Transport","authors":"O. Dinariev, N. Evseev","doi":"10.2118/206587-ms","DOIUrl":"https://doi.org/10.2118/206587-ms","url":null,"abstract":"\u0000 The computational method for gas-condensate phase permeabilities is presented using digital rock analysis. The proposed method combines: a) construction of high-resolution tomographic images of the pore space; b) development of compositional model of a gas-condensate mixture at pore-scale including rheology, fluid-fluid and fluid-rock interfacial tension coefficients, and thermodynamic and kinetic properties of fluid phases; c) 3D pore-scale modeling of multiphase transport and interfacial chemical component exchange using the density functional hydrodynamics numerical simulator.\u0000 This digital rock analysis workflow is applied to the gas-condensate transport at pore-scale. The numerical simulations are carried out using the 3D digital rock model constructed by X-ray microCT imaging of the rock pore structure. By specifying different gas and condensate fractions and injection rates it has been possible to obtain computationally 3D saturation distribution fields and the phase permeabilities. The results of 3D density functional hydrodynamic simulations provide the comprehensive description of gas-condensate mixture at pore-scale including hydrodynamic desaturation effects and phase transition kinetic phenomena. It is demonstrated that condensate distribution in pores, phase mobility thresholds and phase permeabilities are dependent on wettability properties and flow rates. It is shown that condensate composition in individual pores is also dynamically dependent on flow regimes. These results can be used in field development planning for the improved evaluation of condensate banking in the vicinity of production wells and condensate losses in the reservoir.","PeriodicalId":11052,"journal":{"name":"Day 3 Thu, October 14, 2021","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90680302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}