Intelligent Oilfield - Cloud Based Big Data Service in Upstream Oil and Gas

Yang, Xudong; Bello, O. O.; Lei, Yaping; Bale, Derek S.; Failla, Roberto

doi:10.2523/19418-ms

Cited by 8 publications

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They can help to reduce the data size and extract useful data of events, and even to make the decisions on behalf of the experts [132]. In addition, take into consideration the present and future employments of many different sensing and measuring systems in the oil and gas industry, the adoption of a cloudbased platform would be a promising solution to solve the problems of secure and reliable data transport, management, storage, analysis, visualization, and download [123], [133], [134].…”

Section: Future Directionsmentioning

confidence: 99%

A Review of Distributed Fiber–Optic Sensing in the Oil and Gas Industry

Ashry

Mao

Wang

et al. 2022

J. Lightwave Technol.

View full text Add to dashboard Cite

Fiber-optic sensors have been widely deployed in various applications, and their use has gradually increased since the 1980s. Distributed fiber-optic sensors, which enable continuous and real-time measurements along the entire length of an optical fiber cable, have undergone significant improvements in underlying industries. In the oil and gas industry, distributed fiberoptic sensors can provide significantly valuable information throughout the life cycle of a well and can monitor pipelines transporting hydrocarbons over great distances. Here, we review the deployment of fiber-optic Rayleighbased distributed acoustic sensing (DAS), Raman-based distributed temperature sensing (DTS), and Brillouin-based distributed temperature and strain sensing (DTSS) in the oil and gas industry. In particular, we describe the operation principle and basic experimental setups of the DAS, DTS, and DTSS, highlighting their applications in the upstream, midstream, and downstream sectors of the oil and gas industry. We further developed a prototype of a fiber-optic hybrid DAS-DTS system that simultaneously measures vibration and temperature along a multimode fiber (MMF). The reported hybrid sensing system was tested in an operational oil well. This work also discusses the challenges that might hinder the growth of the distributed fiber-optic sensing market in the petroleum industry, and we further point out the future directions of related research.

show abstract

Section: Future Directionsmentioning

confidence: 99%

A Review of Distributed Fiber–Optic Sensing in the Oil and Gas Industry

Ashry

Mao

Wang

et al. 2022

J. Lightwave Technol.

View full text Add to dashboard Cite

show abstract

A Literature Review

Li¹,

Karrenbach²,

Ajo‐Franklin³

2021

Geophysical Monograph Series

View full text Add to dashboard Cite

Data and the new oil: Cloud computing’s lubrication of the petrotechnical

Munn

2021

Journal of Environmental Media

View full text Add to dashboard Cite

Sophisticated modelling and machine learning technologies, underpinned by cloud computing, are increasingly being deployed within the oil and gas industry. As the easy energy pockets of the past dry up, such technologies promise to locate deposits, increase extraction and optimize production. These high-performance computing technologies require vast infrastructures, a requirement that, in the midst of a climate crisis, has seen a new alliance between Big Tech and Big Oil. Drawing on grey literature from press releases to whitepapers and tech demonstrations, this article investigates these alliances between oil companies and tech companies, along with the rise of cloud-driven processes in energy discovery and production – in short, the new intersection between the computational and the petrotechnical. How might the extractive violence of the ‘petro’ be intensified and diversified by the ‘technical’ of cloud computing? It argues that cloud computing does indeed contribute to more efficient processes of energy extraction, but that this effectively means an optimization of ecological destruction, assisting the industry in more rapidly and comprehensively damaging diverse forms of life. Understanding the logics of these technologies and the political economy that underpins them is crucial for intervening effectively against these environmentally devastating operations.

show abstract

Intelligent Oilfield - Cloud Based Big Data Service in Upstream Oil and Gas

Cited by 8 publications

References 4 publications

A Review of Distributed Fiber–Optic Sensing in the Oil and Gas Industry

A Review of Distributed Fiber–Optic Sensing in the Oil and Gas Industry

A Literature Review

Data and the new oil: Cloud computing’s lubrication of the petrotechnical

Contact Info

Product

Resources

About