Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Deriving the Speed of Sound in a Liquid01:09

Deriving the Speed of Sound in a Liquid

471
As with waves on a string, the speed of sound or a mechanical wave in a fluid depends on the fluid's elastic modulus and inertia. The two relevant physical quantities are the bulk modulus and the density of the material. Indeed, it turns out that the relationship between speed and the bulk modulus and density in fluids is the same as that between the speed and the Young's modulus and density in solids.
The speed of sound in fluids can be derived by considering a mechanical wave...
471
Instrument Calibration01:12

Instrument Calibration

149
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
149
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

1.2K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
1.2K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

5.8K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
5.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Titanium dioxide nanoparticles relieve biochemical dysfunctions of fifth-instar larvae of silkworms following exposure to phoxim insecticide.

Chemosphere·2012
Same author

Mechanisms of prostate atrophy after LHRH antagonist cetrorelix injection: an experimental study in a rat model of benign prostatic hyperplasia.

Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban·2012
Same author

Simulation and experimental investigation of structural dynamic frequency characteristics control.

Sensors (Basel, Switzerland)·2012
Same author

Chronic clomipramine treatment restores hippocampal expression of glial cell line-derived neurotrophic factor in a rat model of depression.

Journal of affective disorders·2012
Same author

Application of nanoLC-MS/MS to the shotgun proteomic analysis of the nematocyst proteins from jellyfish Stomolophus meleagris.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences·2012
Same author

Identification of Sare0718 as an alanine-activating adenylation domain in marine actinomycete Salinispora arenicola CNS-205.

PloS one·2012
Same journal

A tri-axis optomechanical accelerometer with plasmonic MIM waveguide and structural direction-dependent optical signatures.

Scientific reports·2026
Same journal

Holographic leaky-wave antennas with independently controlled multiple counter-rotating vortex beams.

Scientific reports·2026
Same journal

Differential associations of longitudinal hearing and vision trajectories with dementia and mild cognitive impairment in older adults.

Scientific reports·2026
Same journal

Abdominal obesity and leisure-time sedentary behavior in relation to gastroesophageal reflux disease risk: a prospective cohort study from the UK Biobank.

Scientific reports·2026
Same journal

Effect of nitrogen-rich COF incorporation on the structure and separation performance of polyamide nanofiltration membranes.

Scientific reports·2026
Same journal

Withanolide A inhibits hIAPP aggregation: An In silico, biophysical, and drosophila-based In vivo validation.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: May 30, 2025

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging
04:54

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

Published on: June 16, 2023

2.7K

Research on attenuation rate correlation calibration method based on acoustic variable density logging.

Dongming Liu1, Ronghui Yan2, Chao Zhou3

  • 1Changqing Branch, China National Logging Corporation, Xi'an, 710201, Shaanxi, China. liudongming.cnlc@cnpc.com.cn.

Scientific Reports
|January 25, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an attenuation rate calibration method for acoustic variable density logging, overcoming limitations of traditional free pipe calibration. The new method offers improved accuracy for evaluating cementing quality in oil wells.

More Related Videos

Studying Cavitation Enhanced Therapy
07:36

Studying Cavitation Enhanced Therapy

Published on: April 9, 2021

5.1K
The Measurement of Unsteady Surface Pressure Using a Remote Microphone Probe
08:53

The Measurement of Unsteady Surface Pressure Using a Remote Microphone Probe

Published on: December 3, 2016

6.9K

Related Experiment Videos

Last Updated: May 30, 2025

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging
04:54

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

Published on: June 16, 2023

2.7K
Studying Cavitation Enhanced Therapy
07:36

Studying Cavitation Enhanced Therapy

Published on: April 9, 2021

5.1K
The Measurement of Unsteady Surface Pressure Using a Remote Microphone Probe
08:53

The Measurement of Unsteady Surface Pressure Using a Remote Microphone Probe

Published on: December 3, 2016

6.9K

Area of Science:

  • Petroleum Engineering
  • Geophysical Well Logging

Background:

  • Traditional acoustic variable density logging faces challenges with free pipe calibration, including logistical issues and subjectivity.
  • Existing methods struggle when a free pipe is unavailable for calibration, limiting accurate cementing quality assessment.

Purpose of the Study:

  • To develop and validate an innovative attenuation rate calibration method for acoustic variable density logging.
  • To address the limitations of free pipe calibration in cementing quality evaluation.
  • To enhance the accuracy and applicability of acoustic variable density logging.

Main Methods:

  • Laboratory calibration of acoustic wave probe response consistency and transmitting probe frequency using specialized devices.
  • Derivation of acoustic wave attenuation rate using a calibration coefficient.
  • Conversion of attenuation rate to relative sound amplitude for well scale calibration.
  • Field testing in 18 oil wells to evaluate cementing quality.

Main Results:

  • The attenuation rate correlation calibration method demonstrated results consistent with theoretical values, with a maximum deviation of 6.9%.
  • Identified sources of deviation include annulus fluid, trace bubbles, and instrument centering.
  • The method successfully replaced in-well free pipe calibration with indoor acoustic instrument calibration.

Conclusions:

  • The attenuation rate correlation calibration method provides a viable and accurate alternative for acoustic variable density logging, especially when free pipe calibration is not feasible.
  • This approach enhances the quantitative interpretation of acoustic variable density data for improved cementing quality assessment.
  • The method offers greater accuracy and a wider application range compared to traditional techniques.