Integration of data center monitoring systems into business process management of oil and gas companies

This article discusses the important task of improving the efficiency of business process management in the oil and gas industry through the use of modern technologies. Particular attention is paid to the integration of monitoring systems for data centers, virtual machines, and network equipment. The relevance of the topic is explained by the growing need to ensure high availability and fault tolerance of critical IT infrastructure, which is becoming especially important against the background of the intensive digital transformation of the industry, increasing data volumes and increasing requirements for the smooth operation of production processes. The study proposes a conceptual model consisting of four levels of integration, which helps to combine various components of IT systems and business operations. The concept of interrelated infrastructure and business indicators was proposed to better assess the state and effectiveness of processes. To test the proposed ideas, simulation modeling was carried out, which allowed us to see how such approaches affect the operation of systems. The results show that the implementation of the described model can seriously reduce the risks of downtime, as well as improve the speed and quality of management decisions. This approach can become a significant tool for companies in the oil and gas sector seeking to adapt more effectively to modern challenges and market requirements, minimizing possible disruptions and improving the overall stability of IT structures.

Authors

Institutions

Publication Details

Journal
Journal of Monetary Economics and Management
Published
2026-08-17
DOI
https://doi.org/10.26118/2782-4586-2026-168-177
Primary Topic
Economic and Technological Systems Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integration of data center monitoring systems into business process management of oil and gas companies

Matvey Zemlyanyh
Journal of Monetary Economics and Management
Economic and Technological Systems Analysis
article

Integration of data center monitoring systems into business process management of oil and gas companies

Matvey Zemlyanyh
article en

Abstract

This article discusses the important task of improving the efficiency of business process management in the oil and gas industry through the use of modern technologies. Particular attention is paid to the integration of monitoring systems for data centers, virtual machines, and network equipment. The relevance of the topic is explained by the growing need to ensure high availability and fault tolerance of critical IT infrastructure, which is becoming especially important against the background of the intensive digital transformation of the industry, increasing data volumes and increasing requirements for the smooth operation of production processes. The study proposes a conceptual model consisting of four levels of integration, which helps to combine various components of IT systems and business operations. The concept of interrelated infrastructure and business indicators was proposed to better assess the state and effectiveness of processes. To test the proposed ideas, simulation modeling was carried out, which allowed us to see how such approaches affect the operation of systems. The results show that the implementation of the described model can seriously reduce the risks of downtime, as well as improve the speed and quality of management decisions. This approach can become a significant tool for companies in the oil and gas sector seeking to adapt more effectively to modern challenges and market requirements, minimizing possible disruptions and improving the overall stability of IT structures.

Journal of Monetary Economics and Management
Russian University of Transport (RU)
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
Economic and Technological Systems Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.