Evidence map›Paper›PMID 31366121›Full record

ArticleSensors (Basel, Switzerland)2019

Structural Parameters Optimization of Elastic Cell in a Near-Bit Drilling Engineering Parameters Measurement Sub.

Long Zhao, Yifei Yan, Xiangzhen Yan, Lei Zhao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. 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
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.

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

4 authors.

Long ZhaoCollege of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao 266580, China.
Yifei YanCollege of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao 266580, China. 20180056@upc.edu.cn.
Xiangzhen YanQil & Gas CAE Technology Research Center, China University of Petroleum, Qingdao 266580, China.
Lei ZhaoCollege of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao 266580, China.ORCID 0000-0003-1889-5968

Funding

Major Project of the National Science and Technology of China 2016ZX05017-003National Natural Science Foundation of China 51804330the Fundamental Research Funds for the Central Universities 18CX02154Athe Key Laboratory Project of China National Petroleum Corporation 2016A-3905
6 · The paper itself

Abstract

The downhole engineering parameters measurement sub is a key component of the rotary steerable drilling system. To enable a measurement sub to serve reliably under downhole complex conditions, the structural parameters optimization of its key but weak elastic cell is systematically studied. First, the multiple relations among measurement sensitivities, structural stiffnesses, and strength during structural parameters design are summarized. Second, the selection of the structural parameters of the elastic cell is characterized as a multi-objective optimization model, which is solved using the non-dominated sorting genetic algorithm II (NSGA-II). Furthermore, the finite element method (FEM) is used to verify the measurement performance and static strength of the proposed structure. Finally, transient dynamics analysis is applied to investigate the dynamic strength of the designed structure. The results show that the proposed parameters optimization strategy can quickly obtain the database for the structural parameters design of an elastic cell. The static analysis results based on the FEM further verify the effectiveness of the proposed method. Transient dynamic analysis also reveals the relative rigor of the proposed methodology framework to some extent. This work has practical significance for improving the drilling efficiency and reducing drilling risks. In addition, this proposed methodology has good extensibility.

Indexed as

elastic cellnear-bit drilling engineering parameters measurement subNSGA-IIstructural parameters optimizationsystematic method frameworktransient dynamic analysis

Identifiers

PMID31366121
PMCPMC6695818

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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.