The Identification of a Promising Research Topic in Applying Generative Artificial Intelligence to Petroleum Engineering Problems

Boris Chigarev

Open source

DOI: 10.20944/preprints202501.1294.v1
Published: 2025-01-17
Container: Not recorded
Publisher: MDPI AG
Open access: unknown

Credibility signals

uncertain Score 60/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
cautionPublication version: Identified as a preprint; peer review and later versions may change the record. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.20944/preprints202501.1294.v1,
  title = {The Identification of a Promising Research Topic in Applying Generative Artificial Intelligence to Petroleum Engineering Problems},
  author = {Boris Chigarev},
  year = {2025},
  doi = {10.20944/preprints202501.1294.v1},
  url = {https://doi.org/10.20944/preprints202501.1294.v1}
}

RIS

TY  - JOUR
TI  - The Identification of a Promising Research Topic in Applying Generative Artificial Intelligence to Petroleum Engineering Problems
AU  - Boris Chigarev
PY  - 2025
DO  - 10.20944/preprints202501.1294.v1
UR  - https://doi.org/10.20944/preprints202501.1294.v1
ER  -

APA

Chigarev, B. (2025). The Identification of a Promising Research Topic in Applying Generative Artificial Intelligence to Petroleum Engineering Problems. https://doi.org/10.20944/preprints202501.1294.v1

Source records

crossref · retrieved 2026-09-25T23:48:42.792Z