Irina O. Bayuk

ORCID: 0000-0003-1148-9609
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Research Areas
  • Seismic Imaging and Inversion Techniques
  • Hydraulic Fracturing and Reservoir Analysis
  • Drilling and Well Engineering
  • Rock Mechanics and Modeling
  • Hydrocarbon exploration and reservoir analysis
  • Composite Material Mechanics
  • Seismic Waves and Analysis
  • Geotechnical and Geomechanical Engineering
  • Geological Studies and Exploration
  • Advanced Mathematical Modeling in Engineering
  • Numerical methods in engineering
  • Planetary Science and Exploration
  • Enhanced Oil Recovery Techniques
  • Industrial Engineering and Technologies
  • Elasticity and Wave Propagation
  • Ultrasonics and Acoustic Wave Propagation
  • High-pressure geophysics and materials
  • Geophysical Methods and Applications
  • Mining and Gasification Technologies
  • Reservoir Engineering and Simulation Methods
  • Geothermal Energy Systems and Applications
  • CO2 Sequestration and Geologic Interactions
  • Space Exploration and Technology
  • Tunneling and Rock Mechanics
  • Geological Modeling and Analysis

Schmidt Institute of Physics of the Earth
2013-2023

Moscow Institute of Physics and Technology
2023

Moscow State University
2022

Lomonosov Moscow State University
2022

Russian Academy of Sciences
2001-2020

Institute of Physics
2020

Czech Academy of Sciences, Institute of Physics
1997-2014

Schlumberger (British Virgin Islands)
2013

Russian State Geological Prospecting University
2004-2010

University of Oklahoma
2007-2009

Clay minerals are important components in shales, controlling their elastic properties and anisotropy. The elasticity of crystalline clay differs significantly from that situ because the ability particles to bind water. In ma-jority published works, only isotropic moduli for clays reported. However, anisotropy is inherent elas-ticity. We develop an inversion technique determination stiffness tensor shale’s tensor. As example, we obtain a “water-clay” composite data on water-saturated...

10.1190/1.2757624 article EN Geophysics 2007-09-01

In this paper, the term 'upscaling' means theoretical prediction of rock's elastic properties at lower frequency (seismic or cross-well data) using higher logging data on sonic velocities (VP, VS1 and VS2), porosity density. The mineral composition water saturation derived from other logs are used. Due to special treatment provided by dipole probe, all obtained in principal coordinate system stiffness tensor. upscaling procedure includes two steps. first step involves solution an inverse...

10.1111/j.1365-246x.2007.03645.x article EN Geophysical Journal International 2007-11-21

The term “upscaling” used here means a prediction of elastic-wave velocities at lower frequencies from the higher frequencies. Three different methods upscaling are considered, including simple averaging, Backus and pair correlation function methods. These applied to upscale measured sonic ([Formula: see text], logging data) available for well penetrating layers gas-bearing shales carbonates. As result, velocity distribution over depth [Formula: text] is found in frequency range text]....

10.1190/1.3054144 article EN Geophysics 2009-03-01

The borehole Yaxcopoil‐1, drilled within the Chicxulub meteoritic impact structure (Mexico), was completely cored from 404 to 1511 m through postimpact Tertiary limestones underlain by impactites. impactites comprise melt‐rich, suevitic breccia followed megablocks of Cretaceous limestones, calcarenites, dolomites, and anhydrites. Measurements porosity, density, thermal parameters on 450 samples (equidistant sampling, complete depth range) ultrasonic velocities electric resistivity 80...

10.1029/2007jb005420 article EN Journal of Geophysical Research Atmospheres 2008-07-01

The results of thermal property measurements on cores from the scientific well Yaxcopoil-1 (1511 m in depth) drilled Chicxulub impact structure (Mexico) are described. conductivity, diffusivity, volumetric heat capacity, anisotropy coefficient, heterogeneity factor, and, addition, porosity and density were measured 451 dry water-saturated depth interval 404–1511 m. acoustic velocities determined a subgroup representative samples. Significant vertical short- long-scale variations physical...

10.1111/j.1365-246x.2010.04839.x article EN Geophysical Journal International 2010-12-10

The estimation of illite-rich shale anisotropy to account for the alignment clays and gas- or brine-filled cracks is presented via mathematical modelling. Such requires analysis interpret dominance one effect over another. This knowledge can help evaluate permeability in unconventional reservoir, stress orientation, seal capacity conventional reservoir. Effective media modelling used predict elastic properties identify dominant contributions anisotropy. We consider two principal reasons...

10.1111/j.1365-246x.2009.04244.x article EN Geophysical Journal International 2009-07-24

Abstract More than 8,500 measurements of the rock thermal properties – conductivity, diffusivity and volumetric heat capacity performed on samples different types from 6 terrigenous carbonaceous heavy oil reservoirs provided vast experimental data base for 4D reservoir modeling EOR recovery methods. The results describe essential spatial variations (more 100%) in properties, including anisotropy heterogeneity, within reservoirs, significant temporal (up to 100% most cases) that are caused by...

10.2118/165474-ms article EN SPE Heavy Oil Conference-Canada 2013-06-11

Abstract— Physical properties were determined in a first step on post‐impact tertiary limestones from the depth interval of 404–666 m Yaxcopoil‐1 (Yax‐1) scientific well, drilled Chicxulub impact crater (Mexico). Thermal conductivity, thermal diffusivity, density, and porosity measured 120 dry water‐saturated rocks with core sampling 2–2.5 m. Nondestructive, non‐contact optical scanning technology was used for property measurements including anisotropy inhomogeneity. Supplementary...

10.1111/j.1945-5100.2004.tb00930.x article EN Meteoritics and Planetary Science 2004-06-01

Carbonate rocks have a wide variety of pore shapes and different types grains, which greatly affect the elastic properties characteristics reservoir. This causes certain difficulties in petroelastic modeling. One problems is scale input data, then used to build rock physics model. The paper presents results studying three core samples carbonate Upper Devonian Lower Carboniferous age, are located South Tatar arch (Volga-Ural oil gas basin (Russia)). To evaluate structural space, effective...

10.3390/app13042696 article EN cc-by Applied Sciences 2023-02-20

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2001Frequency dependent anisotropyAuthors: Evgeni M. ChesnokovJohn H. QueenAlexander A. VichorevHeloise B. LynnJohn HooperIrina O. BayukJohn CastagnaBaishali RoyEvgeni ChesnokovUniversity of Oklahoma, Norman, OK 73019, John QueenConoco Inc., Ponca City, 74602, Alexander VichorevInstitute Physics the Earth, Moscow, 123810, Russia, Heloise LynnLynn Inc. 14732 F Perthshire, Houston, TX 77079, HooperConoco Irina BayukInstitute...

10.1190/1.1816569 article EN 2001-01-01

Abstract The study is devoted to preparing data for three- and four-dimensional geomechanical modeling. main focus remains on the problem of predicting physical mechanical properties medium at scale reservoir based logging laboratory studies. predicted are further used prepare a three-dimensional model reservoir. complemented by boundary conditions solving poroelastisity formulated in terms stresses. question obtaining these distinctive point investigation. approaches estimating in-situ...

10.2118/187823-ms article EN SPE Russian Petroleum Technology Conference 2017-10-13

10.1134/s1069351320020032 article EN Izvestiya Physics of the Solid Earth 2020-03-01

The elastic properties of rocks are influenced by several microstructural variables, including the lattice preferred orientation and grain shape fabric mineral phases, variations in spatial distribution boundaries, presence porosity/fractures. Consequently, principle, directional these variables can be inferred from seismic velocity anisotropy observations. Experimental measurements made on well‐characterized microstructure may used to improve quality such interferences. However, since most...

10.1029/2002jb001915 article EN Journal of Geophysical Research Atmospheres 2003-08-01

ABSTRACT A technique allowing inversion of the shale stiffness tensor from standard logging data: sonic velocities, density, porosity and clay content is developed. The based on effective medium theory. testing laboratory measurements elastic wave velocities in samples shows that makes it possible to predict V P , S 1 2 any direction within an error a few per cent. has been applied for along well penetrating formation Mississippian age altered by thin layers limestone. It demonstrated...

10.1111/j.1365-2478.2010.00864.x article EN Geophysical Prospecting 2010-02-03

We analyze the error in location of a microseismic event (source) homogeneous shale, caused by replacing anisotropic velocity model equivalent isotropic model. The source is located string 12 stations placed vertical borehole, and string‐event distance around 1500 ft. Different elevation relative to considered. It shown that can attain 1000 ft depending on elevation. theoretical modeling with help effective medium theory allows one conclude that, generally, increases amount oriented clay....

10.1190/1.3255163 article EN 2009-01-01

A method is elaborated for calculating the effective viscoelastic properties of anisotropic fractured rocks. The based on rock physics modelling allowing one to consider components having moduli. incorporates effect low-velocity and highly dispersive Krauklis waves arising in thin fractures. We introduce so-called 'Krauklis substance' determine its moduli from known velocity wave. substance pure elastic compression shear with zero real part modulus non-zero imaginary modulus. Then, we model...

10.1093/gji/ggy382 article EN Geophysical Journal International 2018-09-13

The paper discusses the problem of localizing zones high pore pressure in sub-bottom sediments (first tens meters under seafloor). Prediction overpressure near-surface is required for mitigation risks at early stages offshore hydrocarbon field exploration and development. results seismic data interpretation generally serve as main source information this kind problems, yet there are other methods to predict subsurface. presents zone prediction using a set including empirical ones, approach...

10.3390/jmse10081127 article EN cc-by Journal of Marine Science and Engineering 2022-08-17

Summary In the paper an approach to develop a fracture network model is proposed. The key feature of this ability distinguish hydraulically conductive and non-hydraulically fractures. This granted by modeling with use rock physics methods using data based on both seismic survey geomechanical results. Following concept critically stressed fractures we carried out analysis present in reservoir determine which them are actual stress state. Then was developed for these applying methods....

10.3997/2214-4609.201800722 article EN Proceedings 2018-06-11

A unified model of physical properties clastic rocks the Middle Jurassic age has been developed based on Rock Physics modeling. The gives a possibility to predict hydraulic permeability and thermal conductivity from elastic wave velocities electrical resistivity. This work presents results such prediction anisotropic along wellbore combined logging data Presentation Date: Monday, October 17, 2016 Start Time: 4:10:00 PM Location: 167 Type: ORAL

10.1190/segam2016-13762472.1 article EN 2016-09-01

We derive double inequalities providing the bounds for components of effective stiffness tensor a two-phase, porous-cracked medium with aligned ellipsoidal inclusions. The are derived on basis Hashin-Shtrikman variational principle, and conditions positive semi-definiteness quadratic forms. Inequalities presented isotropic, cubic, hexagonal orthorhombic overall symmetries. results obtained symmetry valid general determination transport properties (effective permeability, thermal electrical...

10.1111/j.1365-246x.2008.03925.x article EN Geophysical Journal International 2008-10-16

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2010Inversion of shale microstructure parameters from permeability measurementsAuthors: Evgeny M. ChesnokovIrina O. BayukYasser MetwallyEvgeny ChesnokovUniversity HoustionSearch for more papers by this author, Irina BayukInstitute Physics the Earth, Russian Academy SciencesSearch and Yasser MetwallyUniversity HoustonSearch authorhttps://doi.org/10.1190/1.3513387 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to...

10.1190/1.3513387 article EN 2010-01-01
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