Қазақстанның мұнай-газ саласының хабаршысы

2707-42262957-806X

KMG Engineering

108887

10.54859/kjogi108887

Using Big Data and Analytics for Forecasting and Enhancing Productivity in the Oil and Gas Industry

Seitimbetova

Aigerim

sab.buketov.2022@gmail.comhttps://orcid.org/0009-0000-8755-7992Shulgina-Tarachshuk

Alevtina

alevtinash79@mail.ruhttps://orcid.org/0009-0000-4759-9389Smailova

Aizhan

smailova.buketov@gmail.comhttps://orcid.org/0000-0003-2936-0336

30062025

07042026

Amid the digital transformation of the global economy, Big Data analytics and intelligent data analysis technologies are becoming key tools for enhancing business efficiency and sustainability. Their application is particularly relevant in the capital-intensive and high-risk oil and gas industry, where data-driven decision-making can provide significant competitive advantages. This article explores the opportunities and benefits of implementing Big Data and analytical solutions across various stages of the oil and gas production cycle - from geological exploration and drilling to processing and transportation. It outlines the main data sources and types specific to the industry, as well as modern analytical methods, including descriptive, predictive, prescriptive, and real-time analytics. Special attention is given to machine learning and artificial intelligence algorithms used for equipment failure prediction, drilling parameter optimization, and reservoir behavior modeling. Through the analysis of case studies from leading international companies such as BP, Equinor, Gazprom Neft, and others, the article demonstrates how digital tools can improve decision-making accuracy, reduce operational costs, and minimize technological risks. It also discusses the key challenges hindering the widespread adoption of Big Data in the sector: the shortage of qualified personnel, integration difficulties between legacy and modern systems, cybersecurity concerns, and the high cost of digital transformation. The article concludes that data and analytics are becoming strategic assets for the future development of the oil and gas industry. Digital technologies open up new horizons in forecasting, management, and sustainable production, paving the way for next-generation intelligent oil and gas enterprises.

Big Data, analytics, oil and gas industry, forecasting, productivity, digitalization.

Big Data, талдау, мұнай-газ өнеркәсібі, болжау, өнімділік, цифрландыру.

Big Data, аналитика, нефтегазовая промышленность, прогнозирование, производительность, цифровизация

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