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RETRACTED: Machine learning assisted reservoir characterization for CO2 sequestration: A case study from the Penobscot field, Canada offshore
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
About CanadaIts subject is Canada, wherever its authors sit.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Post-publication record
OpenAlex flags this work as retracted, but it carries no matching Retraction Watch record in this frame.
Abstract
No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
The record
- Venue
- Marine and Petroleum Geology
- Topic
- Reservoir Engineering and Simulation Methods
- Field
- Engineering
- Canadian institutions
- —
- Funders
- Science and Engineering Research BoardWadia Institute of Himalayan Geology
- Keywords
- Submarine pipelineGeologyReservoir modelingCarbon sequestrationField (mathematics)Petroleum engineeringOceanographyCarbon dioxide
- Has abstract in OpenAlex
- no