Abstract
The KCl/PHPA waste drilling fluid is produced during drilling operations in Bohai Oilfield, China, which cannot be directly used or discharged, it needs to be flocculated. In order to know the aggregation mechanism of colloidal particles in KCl/PHPA drilling fluid, the calculation method of zeta potential and the relationship between the stability of waste fluid and zeta potential are discussed in detail in this article. The process of decreasing the zeta potential of waste fluid due to the addition of cationic polyacrylamide is called instability. The process in which unstable particles aggregate into larger particles is called coagulation, and the process in which unstable particles aggregate into large flocs is called flocculation. According to the types of treatment agents in KCl/PHPA waste drilling fluid, the structure and energy changes formed between low-viscosity polyanionic cellulose, partially hydrolyzed polyacrylamide, xanthan gum, starch, and water molecules are constructed. The energy of the four treatment agent systems decreased by 21.4–67.5% after the cationic polyacrylamide was added. The reduction of system energy reduced the repulsive force between colloidal particles in the waste fluid and promoted the agglomeration of colloidal particles. The agglomeration mechanism of waste liquid particles was obtained.
1 Introduction
In the twenty-first century, environmental protection is an increasingly important issue [1,2]. According to marine protection needs [3] and national laws [4] and regulations [5], offshore oilfield operations require full waste recovery [6]. The most common waste in offshore operations is drilling fluid, which is usually composed of liquid, solid, and chemical substances [7]. After being circulated in the wellbore, the composition becomes more complex, and the toxicity to the environment is also increased. Environmental protection has become increasingly important, among which the Bohai Oil Field and the West South China Sea Oil Field have the highest environmental protection production requirements [8]. The drilling fluids and oil-containing completion/workover fluids in the reservoir must be fully recovered [9]. In 2020, there were 511 wells drilled in Bohai Oilfield. A single well will produce about 600 m³ of completion/workover fluid and waste drilling fluid, and a total of about 300,000 m3 of waste fluid will be produced. CNOOC has packaged the full recovery of drilling/completion/workover/cementing slurry waste into the service contract [10]. However, there is no mature process plan for on-site reduction in waste drilling fluid [11]. If the completion/repair is not perfect [12] and the shortcomings of waste drilling fluid treatment technology will seriously affect subsequent business development [13], even face the risk of contract suspension [14]. Only by completing relevant technical research can the entire business line form a closed loop [15]. With the increasingly severe environmental protection situation [16], in order to implement a zero-emission policy in marine operations [17], it is urgently necessary to study technologies suitable for offshore drilling waste treatment [18]. However, the mechanism of waste flocculation is not yet clear [19], so this article carried out a molecular simulation of flocculation. The mechanism by which the cationic polyacrylamide flocculates the waste is obtained.
2 The relationship between the stability of waste liquid and zeta potential
For drilling fluid, completion fluid, and workover waste fluid, they are all a colloidal system. The colloidal system is composed of a colloidal core, an adsorption layer, and a diffusion layer. The colloidal core is a colloidal particle formed by the polymerization of colloidal particles. It adsorbs a certain ion on the surface of the colloidal core and is charged. It is a counter ion, a part of the counter ion is closely attached to the surface of the colloidal particles and moves with the particles, which is called bound counter ions, forming an adsorption layer; the other part of the counter ions does not move with the colloidal particles to form a diffusion layer, which is called free counter ions. When the colloidal particles move, most of the free counter ions in the diffusion layer will escape and diffuse into the main body of the solution. The result is to make the colloidal particles generate a residual charge, so that a potential difference is formed between the colloidal particles and the diffusion layer, which is often called the zeta potential.
The colloidal particles can remain dispersed in water for a long time without sinking. This characteristic is called the stability of the colloid. The higher the zeta potential, the higher the stability of the colloid. The stability of the colloidal particles is mainly caused by three reasons: the Brownian motion of the colloidal particles, the electrostatic repulsion between the colloidal particles, and the solvation of the surface of the colloidal particles. For hydrocolloids (such as protein, starch, and other organic substances), the main reason for their stability is the hydration of the colloid. The charged colloidal particles can attract polar water molecules to form a hydration film, thereby preventing the colloidal particles from contacting each other and maintaining their stability. The stability of hydrophobic colloids (such as inorganic substances such as clay and some inorganic cationic polyacrylamides in water) is mainly caused by the repulsion between colloidal particles. When they collide in Brownian motion, they are caused by zeta potential. The electrostatic repulsion will prevent them from approaching and colliding with each other, so they cannot form larger particles and sink. Although there is also a mutual attraction between the colloidal particles-van der Waals force, due to the larger thickness of the diffusion layer outside the colloidal particles, the distance between the colloidal particles is large, and the kinetic energy of the Brownian motion is not enough to push the two colloidal particles closer to each other. The distance at which van der Waals force acts, so the influence of gravity can be ignored. The magnitude of electrostatic repulsion is related to two factors: one is the magnitude of zeta potential; the other is the distance between colloidal particles. The higher the zeta potential or the closer the distance between the colloidal particles, the greater the electrostatic repulsion. It is precisely because of the existence of this electrostatic repulsion that the colloidal particles cannot coalesce and maintain a stable dispersion state for a long time.
Zeta potential is an important indicator of the stability of the colloidal system. Because the surface of the colloidal particles is charged and attracts the surrounding counter ions, these counter ions are distributed in a diffusion state at the two-phase interface to form a diffuse electric double layer.
Zeta potential is usually calculated from the data of electrophoresis or electroosmotic velocity. The calculation methods of the two zeta potentials are as follows.
2.1 Calculate the zeta potential from the electrophoresis speed
Suppose that the electric particle charged is q, in an electric field with an electric field strength of E (suppose the distance between two levels is L, and the potential difference is ΔV; then, that is, E = ΔV/L, the potential difference per unit distance), the electrostatic force acting on the colloid is:
If the radius of the spherical colloidal particles is r, the electrophoresis speed is v, and according to Stokes’ law, its frictional resistance is:
When the colloidal particles move at a constant speed,
Generally, the charged properties of colloidal particles are not often expressed by the number of charges they carried, but by the magnitude of the zeta potential. According to the law of electrostatics:
In the formula, D is the dielectric constant of the liquid between the electric double layers. Put Eq. (4) into Eq. (5) to get:
It can be seen that when the electrophoresis speed of the colloidal particles is measured under certain conditions, the zeta potential of the colloidal particles can be calculated according to formula (6). But formula (6) only applies to spherical colloidal particles. For rod-shaped colloidal particles, a correction factor of 2/3 is usually multiplied:
2.2 Calculate zeta potential from electroosmotic velocity data
The zeta potential can also be calculated from the electroosmotic velocity data. This method is similar to the method of deriving the electrophoresis formula, but the more convenient method is to directly apply formula (7) to electro-osmosis, where the formula refers to the linear velocity of liquid flow. In the experiment, the volume of fluid flowing through the capillary per unit time is
where
It can be seen from Eqs. (6) and (8) that the speed of electrophoresis or electro-osmosis is directly proportional to the applied electric field strength, zeta potential, and the dielectric constant of the liquid, inversely proportional to the viscosity of the liquid, and irrelevant to the particle size and the capillary length. The zeta potential is the potential difference between the continuous phase and the fluid stabilization layer attached to the dispersed particles. The important significance of zeta potential is that its value is related to the stability of colloidal dispersion. Zeta potential is a measure of the strength of mutual repulsion or attraction between particles. The smaller the molecule or dispersed particles, the higher the absolute value (positive or negative) of the zeta potential, and the more stable the system. On the contrary, the lower the zeta potential, the more likely it is to condense or agglomerate; that is, the attractive force exceeds the repulsive force, and the dispersion is destroyed, condensation or agglomeration occurs. The approximate relationship between zeta potential and system stability is shown in Table 1.
The relationship between the zeta potential and the stability of the colloidal system
Zeta potential (mV) | 0 to ±5 | ±10 to ±30 | ±30 to ±40 | ±40 to ±60 | More than ±61 |
---|---|---|---|---|---|
Colloidal stability | Fast setting or cohesion | Start to become unstable | General stability | Good stability | Excellent stability |
In the research of this project, the zeta potential before and after cationic polyacrylamide ion of water-based drilling fluid was measured to analyze the relationship between zeta potential and the stability of the drilling fluid system.
The changes in zeta potential before and after drilling fluid system treatment are shown in the following Table 2.
Changes of zeta potential before and after drilling fluid system treatment
Before processing | After treatment |
---|---|
Sample name: Drilling waste fluid | Sample name: Drilling waste fluid supernatant |
Temperature: 25°C | Temperature: 25.2°C |
Zeta potential (mV): −49.1 | Zeta potential (mV): −17.7 |
It can be seen that the zeta potential of the waste drilling fluid before treatment is −49.1 mV, the drilling fluid system has good stability, and after the treatment agent is added, the solid phase in the waste drilling fluid is basically separated. After going out, the zeta potential of the separated supernatant is −17.7 mV, which is in an unstable state, which also explains that the zeta potential is related to the stability of the colloidal system.
To test the change in zeta potential before and after treatment, the following experiments are required: take 1,800 mL KCl/PHPA waste drilling fluid, with an average of three 600 mL each, and add 10 mL of cationic polyacrylamide solution with a concentration of 5% (the cationic polyacrylamide is a laboratory-made cationic polymer with a molecular weight of 200 × 104, and a cationic degree is 25%). The rotation speed of the agitator is 300 rpm, and the mixing time is 10 min. It can be clearly observed that the drilling fluid starts to flocculate. After stopping the mixing for 30 min, the solid–liquid separation of waste drilling fluid can be observed, as shown in Figure 1.

Flocculation Test of KCl/PHPA Drilling Waste Fluid. (a) Add cationic polyacrylamide solution to start flocculation. (b) After adding cationic polyacrylamide and standing for 30 min, the KCl/PHPA waste drilling fluid system is solid–liquid separated.
3 Research on destabilization mechanism of KCl/PHPA drilling waste fluid
From the above-mentioned analysis, it can be seen that the stability of the colloidal particles is mainly related to the zeta potential, and the zeta potential represents the mutual repulsion between the two colloidal particles. Therefore, it can be calculated by calculating the difference between the different colloidal particles in the KCl/PHPA waste drilling fluid system. Energy changes to determine the mutual repulsion between two colloidal particles.
3.1 KCl/PHPA drilling fluid
KCl/PHPA drilling fluid is widely used in drilling operations in Bohai Oilfield, China, and the basic components are shown in Table 3.
Basic proportions of KCl/PHPA drilling fluid
Material name | Material composition | Content (kg/m3) |
---|---|---|
Seawater | ||
Bentonite | Sodium bentonite | 30 |
Sodium hydroxide | NaOH | 3 |
Sodium carbonate | Na2CO3 | 3 |
PF-PAC LV | Low viscosity polyanionic cellulose (PAC) | 5 |
PLH-HPAM | Partially hydrolyzed polyacrylamide | 5 |
PF-XC-H | Xanthan gum | 0.5 |
PF-FLOTROL | Starch | 10 |
Sodium chloride | NaCl | 120 |
Potassium chloride | KCl | 50 |
Barite | BaSO4 | Adjust the dosage according to the drilling fluid density |
It can be seen that the main components in the KCl/PHPA drilling fluid are low-viscosity polyanion cellulose, partially hydrolyzed polyacrylamide (PHPA), Xanthan gum, and starch, which are generally anionic polymers (low-viscosity polyanion cellulose, PHPA) or non-ionic polymers (xanthan gum (XC) and starch). The cationic polyacrylamides used are cationic polymers, which generate electrostatic adsorption with anionic polymers, reducing the zeta potential of the system.
Therefore, when simulating the energy between two colloidal particles, it mainly simulates the energy change between low-viscosity PAC, PHPA, XC, starch, and cationic polyacrylamide (cationic polyacrylamide).
3.2 Component analysis of KCl/PHPA drilling waste fluid
The oil content, suspended solids content, median particle size, and zeta potential in the KCl/PHPA drilling waste fluid are analyzed, as shown in Table 4.
Component analysis of KCl/PHPA drilling waste fluid
Number | Test items | Test results |
---|---|---|
1 | Oil content, mg/L | 753.01 |
2 | Suspended matter content, mg/L | 75,000 |
3 | Median particle size, μm | 1.016 |
4 | Viscosity, mPa·s | 71 |
5 | Zeta potential, mV | −47.4 |
It can be seen that the KCl/PHAP waste drilling fluid has certain oil content, high viscosity, and a large amount of suspended solids. Among them, there are large-diameter particles exceeding 5 μm, and the zeta potential is high and stable.
Through the earlier analysis, there are bentonite particles and anionic treatment agents in the KCl/PHPA waste drilling fluid. The treatment agent is adsorbed on the bentonite particles to increase the zeta potential of the colloidal particles. At the same time, the oil content in the waste fluid is relatively high. Therefore, destabilization mechanism includes three aspects: the sedimentation mechanism of bentonite particles, the viscosity reduction mechanism of anionic treatment agents, and the demulsification mechanism of crude oil.
3.3 Energy simulation of KCl/PHPA drilling waste fluid
Molecular simulation can well display the energy image of various additives, and the calculation module is relatively reasonable, which can not only provide good guidance for this study, but also be used for the drilling fluid with nano-particles, such as conduct simulation.
Materials Studio 2017R2 software is used to simulate the structure of low-viscosity PAC, XC, PHPA, starch, and cationic polyacrylamide using the Visualizer module, and use the Geometry Optimization tool in the forcite module to perform the single-molecule model structure optimization and select Compass (Version2.8) force field, electrostatic interaction, and van der Waals interaction using Ewald and Atom-based summation methods, respectively, using Smart Minimization algorithm to make the molecules reach the energy minimization model.
Construction (Legacy) in the Amorphous Cell module is selected, and optimized low-viscosity PAC, cationic polyacrylamide, and water molecule models are introduced in Constant Molecules, and the molecules number of low-viscosity anionic cellulose, cationic polyacrylamide, and water is 2, 1, and 100, respectively.
The Dynamics tool is used in the Forcite module to calculate the optimized layer. Ensemble is selected as NVT (Regular Ensemble), the temperature is 278 K, the time step is 1 fs, total simulation time is 500 ps, the number of steps is 5,000, and molecular dynamics simulation is conducted in Compass force field. Calculations for each model are repeated many times, so that the deviation of each data is within 5%.
3.3.1 Energy changes of low viscosity PAC and coagulant
The molecular structure model of low viscosity PAC and cationic polyacrylamide monomer is shown in Figure 2.

Molecular structure model of low viscosity PAC and cationic polyacrylamide monomer.
For the KCl/PHPA drilling fluid waste, the low-viscosity PAC adsorbs water molecules to form a colloidal particle. In the numerical simulation, two low-viscosity polyanionic celluloses are generally combined with 100 water molecules, and the conformation model is shown in Figure 3.

Conformation model of low viscosity PAC and 100 water molecules.
Materials Studio2017R2 software is used to simulate the energy in the above-mentioned molecular conformation, and the data is shown in Table 5.
Conformational model energy of low viscosity PAC + water molecule
Simulation projects | Simulation results |
---|---|
Low viscosity PAC + water molecules | 2:100 |
Intermolecular force, kcal/mol | 288.641 |
Electrostatic force, kcal/mol | −1672.362 |
Correction value, kcal/mol | −9.201 |
Total energy, kcal/mol | −1392.923 |
After adding cationic polyacrylamide to the KCl/PHPA waste drilling fluid, the low-viscosity PAC and the cationic polyacrylamide are electrostatically adsorbed to form a macromolecule, which combines with 100 water molecules. The concentration of low-viscosity PAC is generally greater than the concentration of the added cationic polyacrylamide. The low-viscosity PAC, cationic polyacrylamide, and water molecules are combined in a ratio of 2:1:100. The conformation model is shown in Figure 4.

The conformational model of low viscosity PAC, cationic polyacrylamide, and water molecules in 2:1:100.
Materials Studio2017R2 software is used to simulate the energy in the above-mentioned molecular conformation, and the data are shown in Table 6.
Conformational model energy of low viscosity PAC + cationic polyacrylamide + water molecule
Simulation projects | Simulation results |
---|---|
Low viscosity PAC + coagulant + water molecule | 2:1:100 |
Intermolecular force (kcal/mol) | 283.424 |
Electrostatic force (kcal/mol) | −736.698 |
Correction value (kcal/mol) | 0 |
Total energy (kcal/mol) | −453.274 |
Comparing the energy changes in the Tables 5 and 6, before adding the cationic polyacrylamide, the total energy of the low viscosity PAC and water molecule system is −1392.923 kcal/mol, when the cationic polyacrylamide is added, the total energy of the mixed system is −453.274 kcal/mol, the absolute value of energy in the system dropped by 939.649 kcal/mol, and the rate of decrease was 67.5%. The decrease in the energy of the colloidal system is mainly due to the decrease of the electrostatic attraction in the system, which is mainly manifested by the decrease of the negative charge. It can also be seen that when the low viscosity PAC is adsorbed with the cationic polyacrylamide, because the low viscosity PAC is negatively charged, and the cationic polyacrylamide is positively charged, when the two are adsorbed, part of the positive and negative charges occurs. Electricity neutralization reduces the negative charge of the low viscosity PAC, reduces the zeta potential, and reduces the repulsive force between the colloidal particles.
The changes in energy and zeta potential between the two colloidal particles show a decreasing trend. Therefore, the two colloidal particles are close to each other and tend to aggregate.
3.3.2 Energy changes of PHPA and coagulant
a PHPA model is established, as shown in Figure 5.

Partially hydrolyzed polyacrylamide model.
Two PHPA molecules are combined with 100 water molecules, and the conformation model is shown in Figure 6.

Two PHPA models and 100 water molecules.
Materials Studio2017R2 software is used to simulate the energy in the above-mentioned molecular conformation, and the data are shown in Table 7.
Conformational model energy of PHPA + water molecule
Simulation projects | Simulation results |
---|---|
Partially hydrolyzed polyacrylamide molecule + water molecule | 2:100 |
Intermolecular force (kcal/mol) | 251.077 |
Electrostatic force (kcal/mol) | −1179.954 |
Correction value (kcal/mol) | −8.856 |
Total energy (kcal/mol) | −937.733 |
Partially hydrolyzed polyacrylamide molecules, cationic polyacrylamide molecule and water molecules are combined in a ratio of 2:1:100. The conformation model is shown in Figure 7.

2:1:100 Model of PHPA, cationic polyacrylamide, and water molecules.
Materials Studio2017R2 software is used to simulate the energy in the above-mentioned molecular conformation, and the data are shown in Table 8.
Conformational model energy of PHPA + cationic polyacrylamide + water molecule
Simulation projects | Simulation results |
---|---|
Partially hydrolyzed polyacrylamide + coagulant + water molecule | 2:1:100 |
Intermolecular force (kcal/mol) | 249.936 |
Electrostatic force (kcal/mol) | −640.454 |
Correction value (kcal/mol) | 0 |
Total energy (kcal/mol) | −390.518 |
Comparing the energy changes in Tables 7 and 8, before adding the cationic polyacrylamide, the total energy of the PHPA and water molecule system is −937.733 kcal/mol; after adding the cationic polyacrylamide, the total energy of the mixed system is −390.518 kcal/mol, the absolute value of energy in the system dropped by 547.215 kcal/mol, and the rate of decrease was 58.4%. The decrease in the energy of the colloidal system is mainly due to the decrease in the electrostatic attraction in the system, which is mainly manifested by the decrease in the negative charge. It can also be seen that when PHPA adsorbs the cationic polyacrylamide, because the PHPA is negatively charged, and the cationic polyacrylamide is positively charged, when the two are adsorbed, part of the positive and negative charges are electrically neutralized. So that the negative charge of PHPA is reduced, the zeta potential is reduced, and the repulsion between the colloidal particles is reduced.
The changes in energy and zeta potential between the two colloidal particles show a decreasing trend. Therefore, the two colloidal particles are close to each other and tend to aggregate.
3.3.3 Energy changes of XC and coagulant
The establishment of the XC model is shown in Figure 8.

XC model.
Two XC molecules are combined with 100 water molecules, and the conformational model is shown in Figure 9.

XC molecule and 100 water molecule model.
Materials Studio2017R2 software is used to simulate the energy in the above mentioned molecular conformation, and the data are shown in Table 9.
The conformational model energy of XC + water molecule
Simulation projects | Simulation results |
---|---|
XC + water molecules | 2:100 |
Intermolecular force (kcal/mol) | 432.509 |
Electrostatic force (kcal/mol) | −844.298 |
Correction value (kcal/mol) | 0 |
Total energy (kcal/mol) | −411.789 |
Two XC molecules, one cationic polyacrylamide molecule, and 100 water molecules construct a model of 2:1:100, as shown in Figure 10.

XC, cationic polyacrylamide and water molecules in a 2:1:100 model.
Materials Studio2017R2 software is used to simulate the energy in the above-mentioned molecular conformation, and the data are shown in Table 10.
The conformational model energy of XC + cationic polyacrylamide + water molecule
Simulation projects | Simulation results |
---|---|
XC + coagulant + water molecules | 2:1:100 |
Intermolecular force (kcal/mol) | 397.703 |
Electrostatic force (kcal/mol) | −673.335 |
Correction value (kcal/mol) | −12.053 |
Total energy (kcal/mol) | −287.686 |
Comparing the energy changes in Tables 9 and 10, before adding the cationic polyacrylamide, the total energy of the XC and water molecule system is −411.789 kcal/mol, when the cationic polyacrylamide is added, the total energy of the mixed system is −287.686 kcal/mol, the absolute value of energy in the system decreased by 124.103 kcal/mol, and the rate of decrease was 30.1%. XC is generally a non-ionic polymer with no negative charge. When XC is adsorbed with clay particles in the drilling fluid, it has a partial negative charge. Therefore, the colloidal particles formed by XC are also negatively charged and exhibit electrostatic repulsion. When the cationic polyacrylamide with cations is added, the positive and negative charges will be neutralized and the electrostatic repulsion will decrease. It can also be seen that when the negatively charged xanthan colloidal particles adsorb the cationic polyacrylamide, part of the positive charge and the negative charge are electrically neutralized, so that the negative charge of the xanthan colloidal particles is reduced, and the zeta potential is reduced, the repulsive force between decreases.
The changes in energy and zeta potential between the two colloidal particles show a decreasing trend. Therefore, the two colloidal particles are close to each other and tend to aggregate.
3.3.4 Energy changes of starch and coagulant
The starch model is shown in Figure 11.

Starch model.
Two starch molecules are combined with 100 water molecules, and the conformational model is shown in Figure 12.

Model of 2 starch molecules and 100 water molecules.
Materials Studio2017R2 software is used to simulate the energy in the above-mentioned molecular conformation, and the data are shown in Table 11.
Conformational model energy of starch + water molecule
Simulation project | Simulation result |
---|---|
Starch + water molecule | 2:100 |
Intermolecular force (kcal/mol) | 291.654 |
Electrostatic force (kcal/mol) | −581.872 |
Correction value (kcal/mol) | −12.425 |
Total energy (kcal/mol) | −302.643 |
The 2:1:100 model of starch, cationic polyacrylamide, and water molecules is shown in Figure 13.

The 2:1:100 model of starch and cationic polyacrylamide and water molecules.
Materials Studio2017R2 software is used to simulate the energy in the above-mentioned molecular conformation, and the data are shown in Table 12.
Energy of conformational model of starch + cationic polyacrylamide + water molecule
Simulation projects | Simulation results |
---|---|
Starch + coagulant + water molecules | 2:1:100 |
Intermolecular force (kcal/mol) | 298.978 |
Electrostatic force (kcal/mol) | −524.764 |
Correction value (kcal/mol) | −12.012 |
Total energy (kcal/mol) | −237.799 |
Comparing the energy changes in Tables 11 and 12, before adding the cationic polyacrylamide, the total energy of the starch and water molecule system is −302.643 kcal/mol; after adding the cationic polyacrylamide, the total energy of the mixed system is −237.799 kcal/mol. The absolute value of energy in the system dropped by 64.844 kcal/mol, and the rate of decrease was 21.4%. Starch is generally a non-ionic polymer with no negative charge. When starch is adsorbed with clay particles in the drilling fluid, it is partially negatively charged. Therefore, the colloidal particles formed by starch also exhibit negative electrostatic repulsion. When the cationic polyacrylamide with cations is added, the positive and negative charges will be neutralized and the electrostatic repulsion will decrease. It can also be seen that when the starch colloidal particles with negative charges adsorb the cationic polyacrylamide, part of the positive and negative charges are electrically neutralized, so that the negative charge of the starch colloidal particles is reduced, the zeta potential is reduced, and the repulsion between the colloidal particles is reduced. small. The changes in energy and zeta potential between the two colloidal particles show a decreasing trend. Therefore, the two colloidal particles are close to each other and tend to aggregate.
4 Conclusion
The energy reduction rate of the low-viscosity PAC and water molecule system is 67.5%. The total energy reduction rate of the PHPA and water molecule system is 58.4%. The total energy reduction rate of the system of XC and water molecules is 30.1%. The total energy reduction rate of the starch and water molecule system is 21.4%. The decrease of energy in the four systems is mainly due to the decrease of the electrostatic attraction in the system, which is mainly manifested in the decrease of the negative charge of the whole system due to the positive charge of the coagulant. When the coagulant is adsorbed with the substances in the system, part of the positive and negative charges are electrically neutralized, the zeta potential is reduced, and the repulsion between the colloidal particles is reduced. For anionic drilling fluid treatment agents, after adding a coagulant, the system energy is greatly reduced, while for ionic treatment agents, after adding a coagulant, the system energy is reduced. For the KCl/PHPA drilling fluid contained anionic and ionic treatment agents, after adding the coagulant, the energy of the system is reduced by 44.4%, which reduces the repulsive force between colloidal particles and promotes the aggregation of colloidal particles.
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Funding information: The authors state no funding involved.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Conflict of interest: The authors state no conflict of interest.
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This work is licensed under the Creative Commons Attribution 4.0 International License.
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Articles in the same Issue
- Regular Articles
- Dynamic properties of the attachment oscillator arising in the nanophysics
- Parametric simulation of stagnation point flow of motile microorganism hybrid nanofluid across a circular cylinder with sinusoidal radius
- Fractal-fractional advection–diffusion–reaction equations by Ritz approximation approach
- Behaviour and onset of low-dimensional chaos with a periodically varying loss in single-mode homogeneously broadened laser
- Ammonia gas-sensing behavior of uniform nanostructured PPy film prepared by simple-straightforward in situ chemical vapor oxidation
- Analysis of the working mechanism and detection sensitivity of a flash detector
- Flat and bent branes with inner structure in two-field mimetic gravity
- Heat transfer analysis of the MHD stagnation-point flow of third-grade fluid over a porous sheet with thermal radiation effect: An algorithmic approach
- Weighted survival functional entropy and its properties
- Bioconvection effect in the Carreau nanofluid with Cattaneo–Christov heat flux using stagnation point flow in the entropy generation: Micromachines level study
- Study on the impulse mechanism of optical films formed by laser plasma shock waves
- Analysis of sweeping jet and film composite cooling using the decoupled model
- Research on the influence of trapezoidal magnetization of bonded magnetic ring on cogging torque
- Tripartite entanglement and entanglement transfer in a hybrid cavity magnomechanical system
- Compounded Bell-G class of statistical models with applications to COVID-19 and actuarial data
- Degradation of Vibrio cholerae from drinking water by the underwater capillary discharge
- Multiple Lie symmetry solutions for effects of viscous on magnetohydrodynamic flow and heat transfer in non-Newtonian thin film
- Thermal characterization of heat source (sink) on hybridized (Cu–Ag/EG) nanofluid flow via solid stretchable sheet
- Optimizing condition monitoring of ball bearings: An integrated approach using decision tree and extreme learning machine for effective decision-making
- Study on the inter-porosity transfer rate and producing degree of matrix in fractured-porous gas reservoirs
- Interstellar radiation as a Maxwell field: Improved numerical scheme and application to the spectral energy density
- Numerical study of hybridized Williamson nanofluid flow with TC4 and Nichrome over an extending surface
- Controlling the physical field using the shape function technique
- Significance of heat and mass transport in peristaltic flow of Jeffrey material subject to chemical reaction and radiation phenomenon through a tapered channel
- Complex dynamics of a sub-quadratic Lorenz-like system
- Stability control in a helicoidal spin–orbit-coupled open Bose–Bose mixture
- Research on WPD and DBSCAN-L-ISOMAP for circuit fault feature extraction
- Simulation for formation process of atomic orbitals by the finite difference time domain method based on the eight-element Dirac equation
- A modified power-law model: Properties, estimation, and applications
- Bayesian and non-Bayesian estimation of dynamic cumulative residual Tsallis entropy for moment exponential distribution under progressive censored type II
- Computational analysis and biomechanical study of Oldroyd-B fluid with homogeneous and heterogeneous reactions through a vertical non-uniform channel
- Predictability of machine learning framework in cross-section data
- Chaotic characteristics and mixing performance of pseudoplastic fluids in a stirred tank
- Isomorphic shut form valuation for quantum field theory and biological population models
- Vibration sensitivity minimization of an ultra-stable optical reference cavity based on orthogonal experimental design
- Effect of dysprosium on the radiation-shielding features of SiO2–PbO–B2O3 glasses
- Asymptotic formulations of anti-plane problems in pre-stressed compressible elastic laminates
- A study on soliton, lump solutions to a generalized (3+1)-dimensional Hirota--Satsuma--Ito equation
- Tangential electrostatic field at metal surfaces
- Bioconvective gyrotactic microorganisms in third-grade nanofluid flow over a Riga surface with stratification: An approach to entropy minimization
- Infrared spectroscopy for ageing assessment of insulating oils via dielectric loss factor and interfacial tension
- Influence of cationic surfactants on the growth of gypsum crystals
- Study on instability mechanism of KCl/PHPA drilling waste fluid
- Analytical solutions of the extended Kadomtsev–Petviashvili equation in nonlinear media
- A novel compact highly sensitive non-invasive microwave antenna sensor for blood glucose monitoring
- Inspection of Couette and pressure-driven Poiseuille entropy-optimized dissipated flow in a suction/injection horizontal channel: Analytical solutions
- Conserved vectors and solutions of the two-dimensional potential KP equation
- The reciprocal linear effect, a new optical effect of the Sagnac type
- Optimal interatomic potentials using modified method of least squares: Optimal form of interatomic potentials
- The soliton solutions for stochastic Calogero–Bogoyavlenskii Schiff equation in plasma physics/fluid mechanics
- Research on absolute ranging technology of resampling phase comparison method based on FMCW
- Analysis of Cu and Zn contents in aluminum alloys by femtosecond laser-ablation spark-induced breakdown spectroscopy
- Nonsequential double ionization channels control of CO2 molecules with counter-rotating two-color circularly polarized laser field by laser wavelength
- Fractional-order modeling: Analysis of foam drainage and Fisher's equations
- Thermo-solutal Marangoni convective Darcy-Forchheimer bio-hybrid nanofluid flow over a permeable disk with activation energy: Analysis of interfacial nanolayer thickness
- Investigation on topology-optimized compressor piston by metal additive manufacturing technique: Analytical and numeric computational modeling using finite element analysis in ANSYS
- Breast cancer segmentation using a hybrid AttendSeg architecture combined with a gravitational clustering optimization algorithm using mathematical modelling
- On the localized and periodic solutions to the time-fractional Klein-Gordan equations: Optimal additive function method and new iterative method
- 3D thin-film nanofluid flow with heat transfer on an inclined disc by using HWCM
- Numerical study of static pressure on the sonochemistry characteristics of the gas bubble under acoustic excitation
- Optimal auxiliary function method for analyzing nonlinear system of coupled Schrödinger–KdV equation with Caputo operator
- Analysis of magnetized micropolar fluid subjected to generalized heat-mass transfer theories
- Does the Mott problem extend to Geiger counters?
- Stability analysis, phase plane analysis, and isolated soliton solution to the LGH equation in mathematical physics
- Effects of Joule heating and reaction mechanisms on couple stress fluid flow with peristalsis in the presence of a porous material through an inclined channel
- Bayesian and E-Bayesian estimation based on constant-stress partially accelerated life testing for inverted Topp–Leone distribution
- Dynamical and physical characteristics of soliton solutions to the (2+1)-dimensional Konopelchenko–Dubrovsky system
- Study of fractional variable order COVID-19 environmental transformation model
- Sisko nanofluid flow through exponential stretching sheet with swimming of motile gyrotactic microorganisms: An application to nanoengineering
- Influence of the regularization scheme in the QCD phase diagram in the PNJL model
- Fixed-point theory and numerical analysis of an epidemic model with fractional calculus: Exploring dynamical behavior
- Computational analysis of reconstructing current and sag of three-phase overhead line based on the TMR sensor array
- Investigation of tripled sine-Gordon equation: Localized modes in multi-stacked long Josephson junctions
- High-sensitivity on-chip temperature sensor based on cascaded microring resonators
- Pathological study on uncertain numbers and proposed solutions for discrete fuzzy fractional order calculus
- Bifurcation, chaotic behavior, and traveling wave solution of stochastic coupled Konno–Oono equation with multiplicative noise in the Stratonovich sense
- Thermal radiation and heat generation on three-dimensional Casson fluid motion via porous stretching surface with variable thermal conductivity
- Numerical simulation and analysis of Airy's-type equation
- A homotopy perturbation method with Elzaki transformation for solving the fractional Biswas–Milovic model
- Heat transfer performance of magnetohydrodynamic multiphase nanofluid flow of Cu–Al2O3/H2O over a stretching cylinder
- ΛCDM and the principle of equivalence
- Axisymmetric stagnation-point flow of non-Newtonian nanomaterial and heat transport over a lubricated surface: Hybrid homotopy analysis method simulations
- HAM simulation for bioconvective magnetohydrodynamic flow of Walters-B fluid containing nanoparticles and microorganisms past a stretching sheet with velocity slip and convective conditions
- Coupled heat and mass transfer mathematical study for lubricated non-Newtonian nanomaterial conveying oblique stagnation point flow: A comparison of viscous and viscoelastic nanofluid model
- Power Topp–Leone exponential negative family of distributions with numerical illustrations to engineering and biological data
- Extracting solitary solutions of the nonlinear Kaup–Kupershmidt (KK) equation by analytical method
- A case study on the environmental and economic impact of photovoltaic systems in wastewater treatment plants
- Application of IoT network for marine wildlife surveillance
- Non-similar modeling and numerical simulations of microploar hybrid nanofluid adjacent to isothermal sphere
- Joint optimization of two-dimensional warranty period and maintenance strategy considering availability and cost constraints
- Numerical investigation of the flow characteristics involving dissipation and slip effects in a convectively nanofluid within a porous medium
- Spectral uncertainty analysis of grassland and its camouflage materials based on land-based hyperspectral images
- Application of low-altitude wind shear recognition algorithm and laser wind radar in aviation meteorological services
- Investigation of different structures of screw extruders on the flow in direct ink writing SiC slurry based on LBM
- Harmonic current suppression method of virtual DC motor based on fuzzy sliding mode
- Micropolar flow and heat transfer within a permeable channel using the successive linearization method
- Different lump k-soliton solutions to (2+1)-dimensional KdV system using Hirota binary Bell polynomials
- Investigation of nanomaterials in flow of non-Newtonian liquid toward a stretchable surface
- Weak beat frequency extraction method for photon Doppler signal with low signal-to-noise ratio
- Electrokinetic energy conversion of nanofluids in porous microtubes with Green’s function
- Examining the role of activation energy and convective boundary conditions in nanofluid behavior of Couette-Poiseuille flow
- Review Article
- Effects of stretching on phase transformation of PVDF and its copolymers: A review
- Special Issue on Transport phenomena and thermal analysis in micro/nano-scale structure surfaces - Part IV
- Prediction and monitoring model for farmland environmental system using soil sensor and neural network algorithm
- Special Issue on Advanced Topics on the Modelling and Assessment of Complicated Physical Phenomena - Part III
- Some standard and nonstandard finite difference schemes for a reaction–diffusion–chemotaxis model
- Special Issue on Advanced Energy Materials - Part II
- Rapid productivity prediction method for frac hits affected wells based on gas reservoir numerical simulation and probability method
- Special Issue on Novel Numerical and Analytical Techniques for Fractional Nonlinear Schrodinger Type - Part III
- Adomian decomposition method for solution of fourteenth order boundary value problems
- New soliton solutions of modified (3+1)-D Wazwaz–Benjamin–Bona–Mahony and (2+1)-D cubic Klein–Gordon equations using first integral method
- On traveling wave solutions to Manakov model with variable coefficients
- Rational approximation for solving Fredholm integro-differential equations by new algorithm
- Special Issue on Predicting pattern alterations in nature - Part I
- Modeling the monkeypox infection using the Mittag–Leffler kernel
- Spectral analysis of variable-order multi-terms fractional differential equations
- Special Issue on Nanomaterial utilization and structural optimization - Part I
- Heat treatment and tensile test of 3D-printed parts manufactured at different build orientations