"Improved prediction of shale gas productivity in the Marcellus shale using ..."

Sungil Kim et al. (2023)

> Home

Details and statistics

DOI: 10.1016/J.CAGEO.2023.105452

access: open

type: Journal Article

metadata version: 2024-06-08

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/gandc/KimHLK23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/gandc/KimHLK23
Sungil Kim, Yongjun Hong, Jung-Tek Lim, Kwang Hyun Kim:
Improved prediction of shale gas productivity in the Marcellus shale using geostatistically generated well-log data and ensemble machine learning. Comput. Geosci. 181: 105452 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.