Predicting ESP Lifespans With Machine Learning
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Many examples exist where an entirely data-driven or hybrid model helps optimize pump regimes, prevent unexpected failures, and save on maintenance-on-schedule.
“There are many examples when an entirely data-driven or a hybrid model containing physics-driven and data-driven math helps optimize the regimes, prevent unexpected failures, and save on maintenance-on-schedule [ 36 , 37 ].”
From Artificial intelligence in oil and gas upstream: Trends, challenges, and scenarios for the future (2021) · cites this paper as [36]
Cited by
Sorted by citations
Artificial intelligence in oil and gas upstream: Trends, challenges, and scenarios for the future
Koroteev, D., & Tekic, Z. (2021) · Energy and AI · doi:10.1016/j.egyai.2020.100041 · Cited by 285 · see citing works
- Authors
- Sneed, J.
- Affiliations
- Devon Energy (United States) (US)
- Corresponding author
- Sneed, Jessamyn
- Venue
- Proceedings of the 5th Unconventional Resources Technology Conference
- Published
- 2017
- OpenAlex
- W2745818870
- Cited by
- 29
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 4 · 2022: 6 · 2021: 9 · 2020: 4 · 2018: 3
- FWCI
- 2.10
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Unconventional Resources Technology Conference (URTeC) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
- Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
- Keywords
- electronic speckle pattern interferometry, machine learning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
