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Multiscale Multiphysics Well-logging: Numerical Modeling, Physics and Field Experiments, Practical...
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Multiscale Multiphysics Well-logging: Numerical Modeling, Physics and Field Experiments, Practical Application

A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Geophysics".

Deadline for manuscript submissions: closed (10 June 2022) | Viewed by 3925

Special Issue Editors

Prof. Dr. Vladimir A. Cheverda

E-Mail Website
Guest Editor
Department of Computational Methods in Geophysics, Trofimuk Institute of Petroleum Geology and Geophysics of Siberian Branch of Russian Academy of Sciences, 3, prosp. Koptyuga, 630090 Novosibirsk, Russia
Interests: numerical linear algebra; mathematical modelling; finite difference simulation; optimization techniques; nonlinear least squares
Special Issues, Collections and Topics in MDPI journals
Dr. Vyacheslav Glinskikh

E-Mail Website
Guest Editor
Trofimuk Institute of Petroleum Geology and Geophysics of Siberian Branch of Russian Academy of Sciencesdisabled, Novosibirsk, Russia
Interests: finite difference simulation; well-logging

Special Issue Information

Dear Colleagues,

Contemporary oilfield geophysics is faced with the ubiquitous exploration and production of complex hydrocarbon accumulations. The efficiency of applying conventional well logging techniques to such objects has been decreasing. Its further development is primarily conditioned by the need to study geological objects at different scales: macro-, meso- and micro. In this context, the most expedient seems to be an integrated research approach that includes numerical simulation, physical experiments and practical applications of borehole geophysical technologies. At the same time, such aspects appear to be relevant as the elaboration of classical logging techniques through an advanced mathematical apparatus, extending the capabilities of petrophysical laboratory studies of cores and saturating those fluids, the creation of technologies for mapping laterally inhomogeneous petroleum reservoirs during their cross-hole exploration from a spatially distributed system of vertical and highly-deviated boreholes, as well as the employment of artificial neural networks for well logging problems.

This Special Issue comprises the above-indicated points to one degree or another. I am quite confident that the articles will be of interest to a wide range of readers: geophysicists, mathematicians, petroleum engineers, petrophysicists and geologists.

Prof. Dr. Vladimir Cheverda
Dr. Vyacheslav Glinskikh
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Geosciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

13 pages, 1506 KiB  
Article
Estimating Water Content in Water–Oil Mixtures and Porous MEDIA They Saturate: Joint Interpretation of NMR Relaxometry and Dielectric Spectroscopy
by Mariya Shumskayte, Andrey Mezin, Elena Chernova, Aleksandra Burukhina, Nikita Golikov and Svetlana Melkozerova
Geosciences 2022, 12(4), 179; https://doi.org/10.3390/geosciences12040179 - 17 Apr 2022
Cited by 1 | Viewed by 1995
Abstract
This article deals with the topical problem of estimating water content in water–oil mixtures within porous media they saturate, according to low-field NMR relaxometry and dielectric spectroscopy. The aim of the research is experimental validation of the capability of complex data interpretation to [...] Read more.
This article deals with the topical problem of estimating water content in water–oil mixtures within porous media they saturate, according to low-field NMR relaxometry and dielectric spectroscopy. The aim of the research is experimental validation of the capability of complex data interpretation to acquire information on the filtration-volumetric properties of drill cuttings, relaxation characteristics of oil-containing fluids, the water/oil ratio in water–oil mixtures, and their saturation of drill cuttings to control the composition of liquids produced from boreholes. The studies are carried out on samples of cuttings and oils taken from fields in the Northern regions of the West Siberian oil-and-gas province, where NMR studies have not been performed before. Based on the experimental data obtained, the possibility of water content assessment in water-in-oil mixtures and porous media they saturate were proved through NMR relaxometry. With the use of the proposed methodology, the amount of water in oil–water mixtures was established, and their main NMR characteristics were determined. The relative error in evaluating the proportion of water in mixtures based on high-viscosity oils is less than 10%, and about 20% for those based on light oils. When determining the oil–water ratio in the pore space of the drill cuttings, the error is about 15%. It was proven that joint use of these two techniques makes it possible to increase the reliability of the oil–water ratio assessment of all the samples studied. Furthermore, it was revealed that the NMR spectrum shifts to the right, and the spectrum of the complex permittivity shifts downwards during the transition from high-viscosity oils to light ones. Full article
(This article belongs to the Special Issue Multiscale Multiphysics Well-logging: Numerical Modeling, Physics and Field Experiments, Practical Application)
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16 pages, 6566 KiB  
Article
Finite-Element Modeling of Spontaneous Potential in an Axisymmetric Reservoir Model with Account of Its Shale Content
by Mikhail Epov, Anastasia Glinskikh and Oleg Nechaev
Geosciences 2022, 12(1), 30; https://doi.org/10.3390/geosciences12010030 - 07 Jan 2022
Cited by 2 | Viewed by 1487
Abstract
(1) This article is devoted to the development of a theoretical and algorithmic basis for numerical modeling of the spontaneous potential method (SP) as applied to the study of sandy-argillaceous reservoirs. (2) In terms of coupled flows, we consider a physical–mathematical model of [...] Read more.
(1) This article is devoted to the development of a theoretical and algorithmic basis for numerical modeling of the spontaneous potential method (SP) as applied to the study of sandy-argillaceous reservoirs. (2) In terms of coupled flows, we consider a physical–mathematical model of SP signals from an electrochemical source, with regards to the case of fluid-saturated shaly sandstone. (3) An algorithm for 2D finite-element modeling of SP signals was developed and implemented in software, along with its internal and external testing with analytical solutions. The numerical SP modeling was carried out, determining the dependences on the reservoir thickness and porosity, the amount of argillaceous material and the type of minerals. We performed a comparative analysis of the simulated and field SP data, using the results of laboratory core examinations taken from wells in a number of fields in the Latitudinal Ob Region of Western Siberia. (4) The results of the study may be used either for the development of the existing SP techniques, by providing them with a consistent computational model, or for the design of new experimental approaches. Full article
(This article belongs to the Special Issue Multiscale Multiphysics Well-logging: Numerical Modeling, Physics and Field Experiments, Practical Application)
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