The project targets a geospatial database on hydrocarbon extraction methods in the 20th century for large and super large oil and gas deposits in Russia and other countries. The work was executed in sequential steps. At first domestic and international relevant sources of information were collected, merged and analyzed. The list of the attribute data base tables and their values have been elaborated from this analysis. The project's main objective is a comparative analytical study of the hydrocarbon extraction methods to assess the role of the RF on the global scale. To increase effectiveness of the results a multifunctional web-service is being developed based on the Esri Geoportal Server platform. The later is characterized by the following features: multi-level access to data; search by parameter presets; viewing and filtering of selected data layers using online mapping applications; sorting of metadata, including bibliographic information for each field. Such a complex approach as well as a multidisciplinary database will play an important role for solving various tasks in the area of oil and gas exploration and extraction. This article will present the results of this systems analysis study concerning the positions of different oil and gas countries in the list of leaders. KEYWORDS: Deposits; oil; gas; database; large and super large oil and gas deposits; methods; exploration; technology.

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.

The introduction of modern methods for the mathematical processing of geological data is one of the promising areas of study and development in the field of geosciences. For example, today mathematical geology makes it possible to reliably identify astronomical cycles by measuring the scalar magnetic parameters of rocks (magnetic susceptibility). The main aim of this study is to develop a mathematical tool for identifying stable oscillation cycles (periods) in the dataset of the magnetic susceptibility of rocks in a geological section. The author’s method (algorithm) is based on the concept of discrete mathematical analysis—an innovative mathematical approach to the analysis of discrete geological and geophysical data. Its reliability is also demonstrated, by comparison with the results obtained by classical methods: Fourier analysis, Lomb periodogram, and REDFIT. The proposed algorithm was applied by the authors to analyze the material of field geological studies of the Zhelezny Rog section (Taman Peninsula). As a result, stable cycles were determined for the Pontian and Lower Maeotian sedimentary strata of the Black Sea Basin (Paratethys).

Nowadays, it is very important to produce safe products. The global problem is a quality of food products and it is significant item for modern producer and consumer. The quality guarantees that technology is highly monitored, with all technological steps and conditions. The technology process of toppling bread has a number of steps and production operations. Raw materials are – flour, water and yeast starter. In this article the HACCP procedure for toppling bread production is shown. The most important aspects of quality management in food industrial process are: developing a block-schema of the process, critical control points identification and, as a result, a HACCP list creation. These aspects are established in this paper according to the technological process of toppling bread. With the use of these data it is possible to implement a HACCP system in technological process of toppling bread in order to trace all processes, production conditions and to produce a safe product with good quality.

A system based on the HACCP principles represents an effective tool for poultry processing. This system provides risk identification and corrective actions for it reducing. A low level of metrological assurance of CCP effects on risk identity because it depends on accuracy of measurement information. MSA method for measurement assessment of CCP in poultry production is recommended. The metrological analysis of CCP for technology process is developed. The researches of temperature of cooled poultry meat is traced in real-time production. At the first step with the use of control diagrams the stable measurement process was established. Second step showed the absolute and relative meanings for deviation in measurement process. At the third stage the assessment of measurement deviation was leaded. At the final stage over result grading the top ways of reducing measurement deviation were estimated. The analysis showed that measurement process should be improved. Changes the properties of meat samples is the major du ring temperature measurement. The second place is for measurement repeatability. The measurement method is important, that’s why for reducing the measurement deviation it is recommended to change the method or choose another measuring instrument. The role of mechanic was not recognized. Proposed assessment approach for measurement process of CCP based on HACCP principles in order to identify risks within the food safety control and to minimize technique regulation procedure.