A Review of AI Applications in Unconventional Oil and Gas Exploration and Development
The development of unconventional oil and gas resources is becoming increasingly challenging, with artificial intelligence (AI) emerging as a key technology driving technological advancement and industrial upgrading in this field. This paper systematically reviews the current applications and develo...
Saved in:
| Main Authors: | Feiyu Chen, Linghui Sun, Boyu Jiang, Xu Huo, Xiuxiu Pan, Chun Feng, Zhirong Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/2/391 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Data-driven assessment of well stimulation in unconventional gas reservoirs
by: Jian Yang, et al.
Published: (2024-12-01) -
Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects
by: Nandito Davy, et al.
Published: (2024-12-01) -
Numerical study on the prediction of oil recovery rates in unconventional reservoirs at high temperatures using ecologically friendly hybrid nanofluids
by: Mudasar Zafar, et al.
Published: (2025-01-01) -
Unconventional Fracture Networks Simulation and Shale Gas Production Prediction by Integration of Petrophysics, Geomechanics and Fracture Characterization
by: Wensong Huang, et al.
Published: (2024-10-01) -
Analysis of the current status of global oil, gas, and associated resources exploration in 2023
by: Zhixin WEN, et al.
Published: (2024-12-01)