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Carbonation Shrinkage01:24

Carbonation Shrinkage

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Atmospheric CO2 penetrates the concrete's pores and, in the presence of moisture, forms carbonic acid, which then reacts with calcium hydroxide in the hydrated cement, forming calcium carbonate. This process reduces the concrete's volume and is termed carbonation shrinkage.
The concrete's permeability is slightly reduced as calcium carbonate produced during the reaction fills its pores. Furthermore, its strength is slightly enhanced as the water released during the reaction...
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Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

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Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures...
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Titration of Polyprotic Base with a Strong Acid01:18

Titration of Polyprotic Base with a Strong Acid

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The titration of a polyprotic base such as sodium carbonate with a strong acid such as hydrochloric acid results in two equivalence points on the titration curve. At the first equivalence point, the carbonate ions in the base are completely converted to bicarbonate ions. The second equivalence point corresponds to the complete conversion of bicarbonate ions to carbonic acid, which dissociates into carbon dioxide and water. The region before the first equivalence point corresponds to the...
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Factors Affecting Activity Coefficient01:17

Factors Affecting Activity Coefficient

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The extended Debye-Hückel equation indicates that the activity coefficient of an ion in an aqueous solution at 25°C depends on three partially interdependent properties: the ionic strength of the solution, the charge of the ion, and the ion size. 
The activity coefficient value for an ion is close to one when the solution has almost zero ionic strength, i.e., when the solution shows close to ideal behavior. As the ionic strength of the solution increases from 0 to 0.1 mol/L, a...
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Uncertainty: Confidence Intervals00:54

Uncertainty: Confidence Intervals

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The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor...
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Titration of a Weak Acid with a Strong Base01:30

Titration of a Weak Acid with a Strong Base

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In titrating a weak acid with a strong base, different calculation methods are applied at various stages. Initially, the pH of a weak acid like acetic acid is calculated using its dissociation constant (Ka) and an ICE table. Upon addition of a strong base such as sodium hydroxide, a buffer forms, and its pH is determined using the Henderson-Hasselbalch equation. As more base is added and the titration reaches the halfway point, the pH becomes equal to the pKa of the acid, indicating equal...
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Related Experiment Video

Updated: Aug 14, 2025

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography
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Optimization and Uncertainty Quantification Method for Reservoir Stimulation through Carbonate Acidizing.

Qasim Sahu1, Marwan Fahs2, Hussein Hoteit1

  • 1Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal23955, Saudi Arabia.

ACS Omega
|January 16, 2023
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Summary
This summary is machine-generated.

This study optimizes matrix acidizing for oil and gas reservoirs by developing a workflow that accounts for uncertainty. The acid capacity number is identified as the key parameter influencing stimulation efficiency.

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Area of Science:

  • Petroleum Engineering
  • Geochemistry
  • Computational Science

Background:

  • Reservoir stimulation, particularly matrix acidizing, is crucial for enhancing oil and gas production from carbonate formations.
  • Understanding parameter uncertainty is vital for optimizing stimulation effectiveness and predicting reservoir performance.

Purpose of the Study:

  • To develop an uncertainty quantification and optimization workflow for matrix acidizing in carbonate reservoirs.
  • To identify key parameters influencing stimulation efficiency and understand their impact on reservoir productivity.

Main Methods:

  • A finite-element reactive transport model was developed and verified for simulating dissolution channel propagation.
  • Surrogate modeling using polynomial chaos expansion (PCE) and Sobol indices were employed for sensitivity analysis.
  • Dimensionless groups (Damköhler, Peclet, acid capacity numbers) were used to assess parameter effects.

Main Results:

  • The surrogate model accurately reproduced physics-based simulation results, including dissolution channels and effective permeability.
  • Global sensitivity analysis revealed the acid capacity number as the most significant parameter for pore volume to breakthrough.
  • Uncertainty propagation was systematically assessed, providing physical insights into the matrix acidizing process.

Conclusions:

  • The developed workflow offers a systematic approach for uncertainty analysis and optimization in rock stimulation processes.
  • Accurate characterization of uncertainty enhances the understanding and predictability of matrix acidizing in hydrocarbon reservoirs.