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

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

249
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
249
The Mantel-Cox Log-Rank Test01:19

The Mantel-Cox Log-Rank Test

1.1K
The Mantel-Cox log-rank test is a widely used statistical method for comparing the survival distributions of two groups. It tests whether a statistically significant difference exists in survival times between the groups without assuming a specific distribution for the survival data, making it a non-parametric test. This flexibility makes the log-rank test particularly valuable in medical research and other fields where the timing of an event, such as death or disease recurrence, is of...
1.1K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

319
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
319
Elasticity01:12

Elasticity

4.9K
Elasticity is the ability of an object to withstand the effects of distortion and to return to its original size and shape once the forces causing deformation are removed. When an elastic material deforms under the action of an external force, it experiences internal resistance to the deformation. However, if no external force is applied, it returns to its original state.
The elasticity of an object can be described by a stress-strain curve, which represents the relationship between stress...
4.9K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

424
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
424
Physical and Chemical Properties of Matter02:57

Physical and Chemical Properties of Matter

166.6K
The characteristics that enable us to distinguish one substance from another are called properties.
166.6K

You might also read

Related Articles

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

Sort by
Same author

[Platelet parameters and platelet Toll-like receptor 4 (TLR4) expression in patients with sepsis, and the effect of a joint treatment-plan integrating traditional Chinese and western medicine: a clinical study].

Zhongguo wei zhong bing ji jiu yi xue = Chinese critical care medicine = Zhongguo weizhongbing jijiuyixue·2011
Same author

A novel kernel Fisher discriminant analysis: constructing informative kernel by decision tree ensemble for metabolomics data analysis.

Analytica chimica acta·2011
Same author

Anterior debridement and reconstruction via thoracoscopy-assisted mini-open approach for the treatment of thoracic spinal tuberculosis: minimum 5-year follow-up.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society·2011
Same author

[A family-based association study of FXYD6 gene polymorphisms and schizophrenia].

Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics·2011
Same author

Prenatal diagnosis of penoscrotal transposition with 2- and 3-dimensional ultrasonography.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine·2011
Same author

Differentiation of α- or β-aspartic isomers in the heptapeptides by the fragments of [M + Na]+ using ion trap tandem mass spectrometry.

Journal of the American Society for Mass Spectrometry·2011
Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026
Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026
Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026
Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026
Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026
Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Feb 6, 2026

Experimental Study of the Relationship Between Particle Size and Methane Sorption Capacity in Shale
07:23

Experimental Study of the Relationship Between Particle Size and Methane Sorption Capacity in Shale

Published on: August 2, 2018

8.1K

A rock physics modelling algorithm for simulating the elastic parameters of shale using well logging data.

Bing Wang1,2, Yurong Chen3,4, Jing Lu5

  • 1State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, 102249, China. wangbing@cup.edu.cn.

Scientific Reports
|August 16, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient shale rock physics model for analyzing shale gas reservoirs using well logging data. The model accurately predicts elastic parameters, crucial for reservoir exploration and characterization.

More Related Videos

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.5K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K

Related Experiment Videos

Last Updated: Feb 6, 2026

Experimental Study of the Relationship Between Particle Size and Methane Sorption Capacity in Shale
07:23

Experimental Study of the Relationship Between Particle Size and Methane Sorption Capacity in Shale

Published on: August 2, 2018

8.1K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.5K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K

Area of Science:

  • Geophysics
  • Petroleum Engineering
  • Materials Science

Background:

  • Well logging is a high-resolution geophysical method vital for reservoir investigation in the oil and gas industry.
  • Shale gas reservoir exploration faces challenges, necessitating accurate elastic parameters and velocity measurements at the logging scale.
  • An efficient shale rock physics model is fundamental for the successful application of well logging in these environments.

Purpose of the Study:

  • To propose a novel procedure for modeling shale rock physics tailored to diverse shale rock compositions.
  • To enhance the accuracy of elastic parameter estimation for shale gas reservoirs.
  • To validate the proposed model's efficiency using real-world well logging data.

Main Methods:

  • The Kuster-Toksöz model was employed to determine the stiffness of kerogen and fluid mixtures, assuming fluid inclusion within the kerogen matrix.
  • A self-consistent approximation method was utilized to model clay components, with clay pores assumed to be saturated with formation water.
  • The Backus averaging model was applied to simulate the effects of laminated clay and kerogen structures.

Main Results:

  • Elastic parameter simulations highlighted the critical importance of precise volume fraction estimations for laminated clay and kerogen.
  • A direct comparison between measured and modeled compressional slowness demonstrated the effectiveness of the developed modeling procedure.
  • The study confirms the capability of the proposed model to accurately represent shale rock properties.

Conclusions:

  • The proposed shale rock physics modeling procedure offers an efficient and accurate approach for analyzing shale gas reservoirs.
  • Accurate consideration of laminated clay and kerogen volume fractions is essential for reliable elastic parameter prediction.
  • This methodology improves the application of well logging data in complex geological formations.