Application Prospect of Knowledge Graph Technology in Knowledge Management of Oil and Gas Exploration and Development

Guan, Qing; Zhang, Fuli; Zhang, Enli

doi:10.1109/icaibd.2019.8837003

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…Jasansky S et al [5] created an open database on the global production of coal and metal mines to understand production trends, ensuring the authenticity and transparency of the information. Qing Guan et al [6] extracted knowledge from multisource heterogeneous knowledge carriers to construct a graphical knowledge base, enhancing work efficiency in oil and gas exploration and development processes. To support the digital transformation of the oil and gas industry, Su J et al [7] analyzed and stored large amounts of information using big data analytics and artificial intelligence methods, breaking down data silos and business barriers, enhancing digital transformation data governance capabilities, and promoting the high-quality development of the oil and gas industry.…”

Section: Literature Reviewmentioning

confidence: 99%

Construction Method and Practical Application of Oil and Gas Field Surface Engineering Case Database Based on Knowledge Graph

Xia,

Dai,

Zhang

et al. 2024

Processes

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To address the challenge of quickly and efficiently accessing relevant management experience for a wide range of ground engineering construction projects, supporting project management with information technology is crucial. This includes the establishment of a case database and an application platform for intelligent search and recommendations. The article leverages Optical Character Recognition (OCR) technology, knowledge graph technology, and Natural Language Processing (NLP) technology. It explores the mechanisms for classifying construction cases, methods for constructing a case database, structuring case data, intelligently retrieving and matching cases, and intelligent recommendation methods. This research forms a complete, feasible, and scalable method for deconstructing, storing, intelligently retrieving, and recommending construction cases, providing a theoretical basis for the establishment of a construction case database. It aims to meet the needs of digital project management and intelligent decision-making support in the oil and gas sector, thereby enhancing the efficiency and accuracy of project construction. This work offers a theoretical foundation for the development of an intelligent management platform for ground engineering projects in the oil and gas industry, supporting the sector’s digital transformation and intelligent development.

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Section: Literature Reviewmentioning

confidence: 99%