Evidence map›Paper›PMID 29048391›Full record

ReviewSensors (Basel, Switzerland)2017

Downhole Applications of Magnetic Sensors.

Chinthaka P Gooneratne, Bodong Li, Timothy E Moellendick

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. A digital alkali spin maser.Scientific reports · 2022
    Article
  4. Design of a Low-Cost Small-Size Fluxgate Sensor.Sensors (Basel, Switzerland) · 2021
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
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

3 authors.

Chinthaka P GooneratneDrilling Technology Team, Exploration and Petroleum Engineering Center-Advanced Research Center (EXPEC-ARC), Dhahran 31311, Saudi Arabia. chinthaka.gooneratne@aramco.com.
Bodong LiDrilling Technology Team, Exploration and Petroleum Engineering Center-Advanced Research Center (EXPEC-ARC), Dhahran 31311, Saudi Arabia. bodong.li.1@aramco.com.
Timothy E MoellendickDrilling Technology Team, Exploration and Petroleum Engineering Center-Advanced Research Center (EXPEC-ARC), Dhahran 31311, Saudi Arabia. timothy.moellendick@aramco.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper we present a review of the application of two types of magnetic sensors-fluxgate magnetometers and nuclear magnetic resonance (NMR) sensors-in the oil/gas industry. These magnetic sensors play a critical role in drilling wells safely, accurately and efficiently into a target reservoir zone by providing directional data of the well and acquiring information about the surrounding geological formations. Research into magnetic sensors for oil/gas drilling has not been explored by researchers to the same extent as other applications, such as biomedical, magnetic storage and automotive/aerospace applications. Therefore, this paper aims to serve as an opportunity for researchers to truly understand how magnetic sensors can be used in a downhole environment and to provide fertile ground for research and development in this area. A look ahead, discussing other magnetic sensor technologies that can potentially be used in the oil/gas industry is presented, and what is still needed in order deploy them in the field is also addressed.

Indexed as

downholedrilling technologyfluxgate magnetometerharsh environmenthigh pressure high temperature (HPHT)magnetic sensorsnuclear magnetic resonanceoil and gaspetroleum

Identifiers

PMID29048391
PMCPMC5676656

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.