Skip to Content
You are currently on the new version of our website. Access the old version .
MDPIMDPI

Advanced

Advances and Application in Intelligent Oil and Gas Field Development Technology, 2nd Edition

Propose a Topic

Topic Information

Dear Colleagues,

Intelligent oil and gas field development refers to the application of advanced technologies (such as artificial intelligence, machine learning, big data analysis, digital twin, and large model technology) to optimize the exploration, production and maintenance of oil and gas fields. These technologies will enable real-time monitoring and management of actual operations. They will facilitate reservoir characterization, increase production rates, and reduce operational costs. Intelligent oil and gas field development involves the integration of multiple disciplines (such as geology, carbon utilization and sequestration, critical minerals, petroleum engineering, and data science) to form a comprehensive approach to oil and gas resource management.

This Topic aims to highlight the latest advances in intelligent oil and gas development and production, including cutting-edge technologies for real-time monitoring, production optimization, and predictive maintenance. The research topics covered in this Topic include, but are not limited to:

  1. Applications of artificial intelligence and machine learning in conventional and unconventional reservoirs.
  2. Big data analysis techniques for decision-making in oil and gas resource development and production.
  3. Digital twin techniques for real-time monitoring and control during oil and gas well production.
  4. Intelligent safety monitoring in oil and gas resource development.
  5. Case studies and field trials of intelligent oil and gas field development.
  6. Intelligent technology deployment for CO2 utilization and sequestration in formations.
  7. Applications of large model technology about knowledge base construction and the use of knowledge question-answering model-trained intelligent computing agent in the petroleum industry.
  8. Any other topics related to intelligent techniques during oil and gas resource development and production.

Prof. Dr. Liming Zhang
Prof. Dr. Yin Zhang
Topic Editors

Keywords

  • artificial intelligence
  • machine learning
  • big data analysis
  • digital twin
  • large model technology
  • geology
  • carbon utilization and sequestration
  • critical mineral
  • petroleum engineering
  • data science

Participating Journals

AI
Open Access
1,131 Articles
Launched in 2020
6.5Impact Factor
7.3CiteScore
20 DaysSubmission to First Decision
6 DaysAcceptance to Publication
Q1Highest JCR Category Ranking
Applied Sciences
Open Access
94,486 Articles
Launched in 2011
2.9Impact Factor
6.1CiteScore
15 DaysSubmission to First Decision
3 DaysAcceptance to Publication
Q2Highest JCR Category Ranking
Computers
Open Access
2,712 Articles
Launched in 2012
5.2Impact Factor
9.1CiteScore
15 DaysSubmission to First Decision
4 DaysAcceptance to Publication
Q2Highest JCR Category Ranking
Energies
Open Access
65,381 Articles
Launched in 2008
3.9Impact Factor
8.3CiteScore
17 DaysSubmission to First Decision
4 DaysAcceptance to Publication
Q3Highest JCR Category Ranking
Processes
Open Access
22,318 Articles
Launched in 2013
3.4Impact Factor
5.7CiteScore
15 DaysSubmission to First Decision
3 DaysAcceptance to Publication
Q3Highest JCR Category Ranking
Preprints

Preprints.org is a multidisciplinary platform offering a preprint service designed to facilitate the early sharing of your research. It supports and empowers your research journey from the very beginning.

MDPI Topics is collaborating with Preprints.org and has established a direct connection between MDPI journals and the platform. Authors are encouraged to take advantage of this opportunity by posting their preprints at Preprints.org prior to publication:

i. Share your research immediately: disseminate your ideas prior to publication and establish priority for your work.

ii. Safeguard your intellectual contribution: Protect your ideas with a time-stamped preprint that serves as proof of your research timeline.

iii. Boost visibility and impact: Increase the reach and influence of your research by making it accessible to a global audience.

iv. Gain early feedback: Receive valuable input and insights from peers before submitting to a journal.

v. Ensure broad indexing: Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers