Evidence map›Paper›PMID 38006165›Full record

ArticlePolymers2023

Corrosion Degree Evaluation of Polymer Anti-Corrosive Oil Well Cement under an Acidic Geological Environment Using an Artificial Neural Network.

Jun Zhao, Rongyao Chen, Shikang Liu, Shanshan Zhou, Mingbiao Xu, Feixu Dai

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 79% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Jun ZhaoChina Oilfield Services Limited, Langfang 065200, China.
Rongyao ChenSchool of Petroleum Engineering, Yangtze University, Wuhan 430100, China.
Shikang LiuChina Oilfield Services Limited, Langfang 065200, China.
Shanshan ZhouSchool of Petroleum Engineering, Yangtze University, Wuhan 430100, China.
Mingbiao XuSchool of Petroleum Engineering, Yangtze University, Wuhan 430100, China.ORCID 0000-0003-4049-7798
Feixu DaiTarim Oilfield Production Capacity Construction Division, Korla 841000, China.
Yangtze University · CNTarim University · CN

Funding

Cooperative Innovation Center of Unconventional Oil and Gas, Yangtze University (Ministry of Education & Hubei Province) UOG2022-24
6 · The paper itself

Abstract

Oil well cement is prone to corrosion and damage in carbon dioxide (CO

Indexed as

artificial neural networkcarbon dioxidecorrosionoil well cementparticle swarm optimizationresin

Identifiers

PMID38006165
PMCPMC10674542
OpenAlexW4388764287

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.