71 research outputs found

    The world's largest oil and gas hydrocarbon deposits: ROSA database and GIS project development

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    This article proposes the use of Big Data principles to support the future extraction of hydrocarbon resources. It starts out by assessing the possible energy-system transformations in order to shed some light on the future need for hydrocarbon resource extraction and corresponding drilling needs. The core contribution of this work is the development of a new database and the corresponding GIS (geographic information system) visualization project as basis for an analytical study of worldwide hydrocarbon occurrences and development of extraction methods. The historical period for the analytical study is from 1900 to 2000. A number of tasks had to be implemented to develop the database and include information about data collection, processing, and development of geospatial data on hydrocarbon deposits. Collecting relevant information made it possible to compile a list of hydrocarbon fields, which have served as the basis for the attribute database tables and its further filling. To develop an attribute table, the authors took into account that all accumulated data features on hydrocarbon deposits and divided them into two types: static and dynamic. Static data included the deposit parameters that do not change over time. On the other hand, dynamic data are constantly changing. Creation of a web service with advanced functionality based on the Esri Geoportal Server software platform included search by parameter presets, viewing and filtering of selected data layers using online mapping application, sorting of metadata, corresponding bibliographic information for each field and keywords accordingly. The collected and processed information by ROSA database and GIS visualization project includes more than 100 hydrocarbon fields across different countries

    ГСофизичСскиС процСссы Π² АрктикС ΠΈ систСмный Π°Π½Π°Π»ΠΈΠ· ΠΈΡ… воздСйствия Π½Π° Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ транспортной инфраструктуры

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    The scientific research that has become the subject of consideration in this article is related to assessment of the influence of geophysical factors on sustainable functioning of transport systems and the system analysis of their impact on the transport infrastructure at the Arctic latitudes. The research is a new direction in the field of study of operational reliability of transport systems and scientific support for development of transport infrastructure in the Russian Arctic.The paper touches upon the issues of reliability and possible failures of technical equipment under the influence of space weather, and also discusses multifaceted problems of safety and efficiency of development of transport systems considering new data on the structure and properties of the lithosphere referring to thawing of permafrost and mineral deposits. A separate section is devoted to new information on seismic activity and seismic hazard assessment in areas of operation and promising development of the transport infrastructure of the Arctic zone of the Russian Federation (AZRF).Intellectual accounting and generalisation of the obtained interdisciplinary results together with their visualisation are provided by geoinformatics methods. The paper presents also the results of adoption of modern geodatabase management systems, of the application of modern technologies of geoportals and interactive spherical visualisations for qualitative presentation of new geophysical knowledge obtained in the course of research.НаучныС исслСдования, ΡΡ‚Π°Π²ΡˆΠΈΠ΅ ΠΏΡ€Π΅Π΄ΠΌΠ΅Ρ‚ΠΎΠΌ рассмотрСния Π² этой ΡΡ‚Π°Ρ‚ΡŒΠ΅, связаны с ΠΎΡ†Π΅Π½ΠΊΠΎΠΉ влияния гСофизичСских Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² Π½Π° устойчивоС Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ транспортных систСм ΠΈ систСмным Π°Π½Π°Π»ΠΈΠ·ΠΎΠΌ ΠΈΡ… воздСйствия Π½Π° Ρ‚Ρ€Π°Π½ΡΠΏΠΎΡ€Ρ‚Π½ΡƒΡŽ инфраструктуру Π² арктичСских ΡˆΠΈΡ€ΠΎΡ‚Π°Ρ…. Они ΡΠ²Π»ΡΡŽΡ‚ΡΡ Π½ΠΎΠ²Ρ‹ΠΌ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ Π² области изучСния эксплуатационной надёТности транспортных систСм ΠΈ Π½Π°ΡƒΡ‡Π½ΠΎΠ³ΠΎ сопровоТдСния развития транспортной инфраструктуры Π² российской АрктикС.Π’ Ρ€Π°Π±ΠΎΡ‚Π΅ Π·Π°Ρ‚Ρ€ΠΎΠ½ΡƒΡ‚Ρ‹ вопросы надёТности ΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹Ρ… ΠΎΡ‚ΠΊΠ°Π·ΠΎΠ² тСхничСских срСдств ΠΏΠΎΠ΄ влияниСм космичСской ΠΏΠΎΠ³ΠΎΠ΄Ρ‹. Π’Π°ΠΊΠΆΠ΅ ΠΎΠ±ΡΡƒΠΆΠ΄Π°ΡŽΡ‚ΡΡ комплСксныС ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹ бСзопасности ΠΈ эффСктивности развития транспортных систСм с ΡƒΡ‡Ρ‘Ρ‚ΠΎΠΌ Π½ΠΎΠ²Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹Ρ… ΠΎ строСнии ΠΈ свойствах литосфСры, связанных с растСплСниСм ΠΌΠ½ΠΎΠ³ΠΎΠ»Π΅Ρ‚Π½Π΅ΠΌΡ‘Ρ€Π·Π»Ρ‹Ρ… ΠΏΠΎΡ€ΠΎΠ΄ ΠΈ мСстороТдСний ΠΏΠΎΠ»Π΅Π·Π½Ρ‹Ρ… ископаСмых. ΠžΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹ΠΉ Ρ€Π°Π·Π΄Π΅Π» посвящён Π½ΠΎΠ²Ρ‹ΠΌ свСдСниям ΠΎ сСйсмичСской активности ΠΈ ΠΎΡ†Π΅Π½ΠΊΠ΅ сСйсмичСской опасности Π² Ρ€Π°ΠΉΠΎΠ½Π°Ρ… эксплуатации ΠΈ пСрспСктивного развития транспортной инфраструктуры АрктичСской Π·ΠΎΠ½Ρ‹ Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ (АЗРЀ).Π˜Π½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹ΠΉ ΡƒΡ‡Ρ‘Ρ‚, ΠΎΠ±ΠΎΠ±Ρ‰Π΅Π½ΠΈΠ΅ ΠΏΠΎΠ»ΡƒΡ‡Π°Π΅ΠΌΡ‹Ρ… мСТдисциплинарных Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΈ ΠΈΡ… визуализация ΠΎΠ±Π΅ΡΠΏΠ΅Ρ‡ΠΈΠ²Π°ΡŽΡ‚ΡΡ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ Π³Π΅ΠΎΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠΊΠΈ. Π’ Ρ€Π°Π±ΠΎΡ‚Π΅ Ρ‚Π°ΠΊΠΆΠ΅ прСдставлСны Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ внСдрСния соврСмСнных систСм управлСния Π±Π°Π·Π°ΠΌΠΈ Π³Π΅ΠΎΠ΄Π°Π½Π½Ρ‹Ρ…, примСнСния соврСмСнных Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π³Π΅ΠΎΠΏΠΎΡ€Ρ‚Π°Π»ΠΎΠ² ΠΈ ΠΈΠ½Ρ‚Π΅Ρ€Π°ΠΊΡ‚ΠΈΠ²Π½Ρ‹Ρ… сфСричСских Π²ΠΈΠ·ΡƒΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΉ для качСствСнного прСдставлСния Π½ΠΎΠ²Ρ‹Ρ… гСофизичСских Π·Π½Π°Π½ΠΈΠΉ, ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… Π² Ρ…ΠΎΠ΄Π΅ исслСдований

    CODATA and global challenges in data-driven science

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    This synthesis report presents the scientific results of the international conference "Global Challenges and Data-Driven Science" which took place in St. Petersburg, Russian Federation from 8 October to 13 October 2017. This event facilitated multidisciplinary scientific dialogue between leading scientists, data managers and experts, as well as Big Data researchers of various fields of knowledge. The St. Petersburg conference covered a wide range of topics related to data science. It featured discussions covering the collection and processing of large amounts of data, the implementation of system analysis methods into data science, machine learning, data mining, pattern recognition, decision-making robotics and algorithms of artificial intelligence. The conference was an outstanding event in the field of scientific diplomacy and brought together more than 150 participants from 35 countries. It's success ensured the effective data science dialog between nations and continents and established a new platform for future collaboration

    Theorems and problems in functional analysis

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