Skip Nav Destination
Close Modal
Update search
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
NARROW
Format
Subjects
Article Type
Date
Availability
1-3 of 3
Keywords: well 1
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208309-MS
... performance indicator strategic planning and management completion installation and operations lateral length color palette rock quality complex reservoir location contribution well 1 3-year boe eagle ford well 2 operator hydraulic fracturing refrac type well completion contribution acreage...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 18–19, 2019
Paper Number: URTEC-198288-MS
... identification rates. This indicates that machine learning methods (either XGBoost or ANN/RF with NROS/SMOTE) can be an effective way to identify coal pay zones and reduce coring or logging costs in CSG developments. Upstream Oil & Gas machine learning Artificial Intelligence well 1 experiment...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 18–19, 2019
Paper Number: URTEC-198322-MS
... were included in this study. The application of this new solution provides significant potential for improvements in operational efficiency in Queensland CSG. Modeling & Simulation well logging well 1 log analysis average count rate completion openhole caliper measurement coal seam...