Decision-Support System to Manage Oil Sector Efficiently

March 1, 2007

To balance the situation, some technologies designed for the leading industries may be used to boost up those sectors that develop slower. An example of such technology is the decision-support system (DSS) designed for the oil sector. The DSS was designed by Leonid Rathkeen, the holder of a PhD in Technical Sciences and an acting member of the International Informatization Academy (IIA). The reports on the system were presented at the IIA sessions, as well as at the sessions of the European Academy of Natural Sciences.

The diagram below shows how the system operates. Methods of access to and processing of oil reserves at different stages of operational cycle are integrated in the uniform information archive (UIA) and classified by territorial, generic, sub-sectoral identity, and other characteristics. The methods library is provided with a detailed thematic rubricator, which significantly simplifies their analysis. A query designer enables the user to carry out polyvalent search (PS) with preset accuracy rating, thus making it possible to select an answer from specific groups of answers according to the stated criteria (e.g., optimization by time, by a number of the "most proximate" solutions, etc.). In addition to data bases, the uniform information archive includes so-called knowledge bases. The information archive includes also a repository, which ensures processing and storage of data, as well as metadata (e.g., information on variation frequency and values of variable parameters). CASE-technolgies used in the repository allow to represent information in different forms and to simulate the evolution of data and metadata in the information archive, thus ensuring effective modification of business-processes employed in the oil industry.
According to diagram, the regulatory and technical documentation (RTD) is stored within a special information system (IS). The IS RTD is accessed from the uniform information archive. Data on the methods of access to and processing of oil reserves at different stages of operational cycle may be accessed from the IS RTD as well. The system architecture makes it possible for investors, equipment manufacturers, suppliers of products and services to the oil sector, and their customers to form queries to both the archive and to the information system at any stage of operations, and to analyze the legislation base and by-laws. It also enables them to track operations at any stage using the archivated data on contractors and sub-contractors.

The Conclusions:

1. With regard to Russian oil industry, the problem of efficient management may be resolved with the help of DSS designed specifically for the industry. The system will coordinate the activities of state authorities, investment companies, as well as manufacturers, suppliers, and their customers in the Russian oil market. 

2. Integration of technologies for information storage, processing, simulation, and forecasting of production processes in the oil sector will facilitate both sound strategic decision making and information support required to implement these decisions at all stages of operational cycle.

3. The DSS may be used in other industries (e.g., gas industry, power industry). For this purpose, the necessary methodological tools should be added to