The Business Justification of Data Centers in the Oil and Gas Industry
Abstract In general, data centers and cloud computing facilitate collaboration among teams by providing centralized and consistent access to data. This allows improved approaches to problem-solving and project development. The evolution and implementation of cloud architectures at a large scale are driving the growth of data centers, along with the exponential growth in data volumes and computing demand. The widespread use of clouds has become practical due to the vast increase in the speed and capacity of wireless communication. In the petroleum industry, the task is to efficiently store and process massive volumes of data generated during exploration, drilling, production, and transportation. Using advanced data analytics, the oil and gas industries can monitor operations in real-time, predict equipment failures, optimize drilling techniques, improve production efficiency, and lower operational costs. The data center approach can also provide robust security measures by safeguarding sensitive data from cyber threats. Data centers can also assist oil and gas companies in complying with industry regulations by providing secure data storage solutions and avoiding costly fines. By consolidating data management functions into dedicated centers, companies can reduce IT overhead costs, streamline operations, and achieve substantial economic advantages. The significant energy use of data centers is costly and must be addressed. The workforce needs are also different. The energy consumption of Data Centers has become an important concern, prompting a deeper examination of their environmental impact and the pursuit of more sustainable operational practices. As such, while there are benefits to using data centers that employ energy-efficient technologies, the additional need for energy use and workforce planning must also be taken into consideration.
Authors
- Iraj Ershaghi
- Donald L. Paul
Institutions
- University of Southern California (US)
- California Southern University (US)
Publication Details
- Journal
- SPE Annual Technical Conference and Exhibition
- Published
- 2025-10-13
- DOI
- https://doi.org/10.2118/228172-ms
- Primary Topic
- Big Data Technologies and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00