Formulation optimization method of mine gas extraction drilling degradable phase change gel sealing material

Abstract

The application discloses a kind of mine gas extraction borehole degradable phase change gel sealing material formula optimization method, comprising: determining the degradation control model after molecular crosslinking density adjustment;Adjust the proportion of material additive and the water absorption rate control mechanism, calculate the expansion coefficient range and evaluate the sealing strength of mine gas extraction borehole;Extract the chemical properties of degradation product and judge acid-base tolerance, adjust the additive ratio to optimize the acid-base environment performance;Calculate dynamic stress response and deformation rate, determine stability parameters;Optimize material thermal expansion stability and acid-base resistance;Evaluate and air leakage rate control data, optimize material formula by iterative adjustment method;Analyze the residual distribution after degradation and sealing duration;Adjust the molecular crosslinking density and water absorption rate control mechanism, obtain the final material formula.The application significantly improves the sealing performance and environmental adaptability of the material in the environment of mine gas extraction borehole, prolongs the sealing duration and reduces the air leakage rate.

Description

Technical Field

[0001] This invention relates to the field of information technology, and in particular to a method for optimizing the formulation of a biodegradable phase change gel sealing material for mine gas extraction boreholes. Background Technology

[0002] Biodegradable sealing materials play a crucial role in environmental protection and industrial applications, particularly in scenarios requiring temporary sealing followed by eventual degradation, such as underground engineering and pipeline repair. These materials effectively reduce the long-term environmental impact of waste while meeting engineering strength and sealing performance requirements. However, the development of existing biodegradable sealing materials faces multiple challenges, limiting their widespread application in complex environments.

[0003] Current biodegradable sealing materials have significant limitations in practical applications. On the one hand, it is difficult to balance the degradation rate with engineering performance; excessively rapid degradation can lead to seal failure, while excessively slow degradation may hinder environmental recovery. On the other hand, the materials lack stability and adaptability under different environmental conditions. For example, in high-temperature or acidic / alkaline environments, the viscosity and expansion properties of the materials often undergo uncontrollable changes. These limitations make it difficult for existing materials to meet the needs of use in highly dynamic environments, especially in scenarios requiring precise control of degradation time and sealing effectiveness.

[0004] The core challenge lies in reconciling the trade-off between a material's degradation performance and functional stability. Degradability is a key characteristic of biodegradable sealing materials, directly determining their lifespan in the environment. However, the degradation process affects the material's viscosity and expansion. For example, in underground pipeline repair, if the material degrades too quickly, it may lose its sealing ability before the repair is completed, leading to pipeline leakage; conversely, if degradation is too slow, it may hinder subsequent ecological restoration. Furthermore, the acidity or alkalinity of the degradation products also affects the material's compatibility with the surrounding environment. For instance, if the degradation products are too acidic, they may adversely affect groundwater quality or react adversely with pipeline materials. These issues make balancing degradation performance and functional stability a bottleneck in technological development.

[0005] Therefore, how to precisely control the degradation rate and the acidity / alkalinity of degradation products while ensuring the viscosity and expansion of the material has become a key issue in the research and development of biodegradable phase change gel sealing materials. Summary of the Invention

[0006] This invention provides a method for optimizing the formulation of a biodegradable phase change gel sealing material for mine gas drainage boreholes, mainly comprising: Chemical composition data of the biodegradable sealing material and environmental parameters inside the mine gas drainage borehole were obtained. The relationship between polymer molecular crosslinking density and degradation rate was analyzed using molecular dynamics simulation technology. A degradation control model after adjusting the molecular crosslinking density was determined. Based on the degradation control model, the proportion of material additives and the water absorption control mechanism were adjusted. The expansion coefficient range was calculated and the sealing strength of the mine gas drainage borehole was evaluated. The chemical characteristics of the degradation products were extracted and acid and alkali tolerance was determined. The proportion of additives was adjusted to optimize the performance in acid and alkali environments. Dynamic stress response and deformation rate were calculated using finite element analysis technology to determine stability parameters. Environmental adaptability testing methods were used to optimize the thermal expansion stability and acid and alkali tolerance of the material. Data on sealing strength evaluation and leakage rate control of the mine gas drainage borehole were obtained. The material formulation was optimized using an iterative adjustment method. The residual distribution and sealing duration after degradation were analyzed using a degradation life cycle management method. The molecular crosslinking density and water absorption control mechanism were adjusted using a multi-objective optimization method to obtain the final material formulation that balances residual control after degradation and sealing duration maintenance.

[0007] Furthermore, the analysis of the relationship between polymer molecular crosslinking density and degradation rate using molecular dynamics simulation technology includes: acquiring chemical composition data of polymer molecules and environmental parameters inside the mine gas extraction borehole; constructing a molecular dynamics simulation model; analyzing the influence of changes in molecular crosslinking density on the degradation rate; applying the degradation rate equation to calculate the degradation behavior of the material under the influence of rare crystal deposition by adjusting the molecular crosslinking density; determining the quantitative relationship between molecular crosslinking density and degradation rate; and obtaining a degradation control model after adjusting the molecular crosslinking density.

[0008] Furthermore, the adjustment of the material additive ratio and water absorption rate control mechanism according to the degradation control model includes: determining the initial formulation of the material additive ratio according to the degradation control model, optimizing the additive ratio through molecular dynamics simulation technology, calculating the influence of the water absorption rate control mechanism on the material expansion coefficient, evaluating the change of the sealing strength of the mine gas drainage borehole under saline-alkali permeation conditions, determining the optimized value of the expansion coefficient range, and obtaining a material formulation that adapts to crystal interference in the mine gas drainage borehole.

[0009] Furthermore, the extraction of the chemical properties of the degradation products and the determination of acid and alkali tolerance include: extracting the chemical composition data of the degradation products from the optimized material formulation, analyzing the acid and alkali tolerance of the degradation products in the mine gas extraction borehole environment, determining whether the acid and alkali tolerance meets a preset threshold, and if the acid and alkali tolerance is lower than the preset threshold, adjusting the additive ratio to increase the mass ratio of the neutralizing agent, and determining the adjusted material formulation for acid and alkali environment performance testing.

[0010] Furthermore, the calculation of dynamic stress response and deformation rate using finite element analysis technology includes: acquiring high-temperature environment data and acid-alkali environment performance test data; performing mesh generation and material property input using finite element analysis technology; constructing a dynamic stress response simulation model; calculating the quantitative index of deformation rate of the material in the dynamic flow of saline-alkali environment within the mine gas extraction borehole; determining the tolerance level of stability parameters in high-temperature and acid-alkali environments; and obtaining the stability parameter extraction results.

[0011] Furthermore, the method of optimizing the thermal expansion stability and acid-base tolerance of the material using environmental adaptability testing includes: obtaining environmental adaptability test data based on the stability parameter extraction results; adjusting the molecular crosslinking density and expansion coefficient range by simulating environmental parameter input; analyzing the thermal expansion stability and acid-base tolerance of the material in the dynamic flow of saline-alkali environment in the mine gas extraction borehole; determining the optimized molecular crosslinking density and expansion coefficient range; and obtaining a material formulation enhanced by simulating environmental parameter input.

[0012] Furthermore, the acquisition of mine gas drainage borehole sealing strength assessment and leakage rate control data includes: extracting mine gas drainage borehole sealing strength assessment data and leakage rate control data from the enhanced material formulation; determining whether the mine gas drainage borehole sealing strength meets the sealing requirements of the mine gas drainage borehole; determining whether the leakage rate control is lower than a preset threshold; if the leakage rate control is higher than the preset threshold or the mine gas drainage borehole sealing strength is lower than the preset threshold, then optimizing the additive ratio and dynamic stress response uniformity through an iterative adjustment method to obtain an optimized material formulation for mine gas drainage borehole sealing strength assessment.

[0013] Furthermore, the method of adjusting the molecular crosslinking density and water absorption control mechanism through multi-objective optimization includes: extracting degradation rate equation application data and mine gas drainage borehole sealing strength assessment data based on degradation life cycle management analysis results; adjusting the molecular crosslinking density and water absorption control mechanism through multi-objective optimization; balancing post-degradation residue control and sealing duration maintenance; and determining the final material formulation that takes into account the trace element stability of the mine gas drainage borehole environment.

[0014] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: This invention discloses an optimized design method for biodegradable sealing materials in the environment of mine gas drainage boreholes, addressing the multi-objective balance between degradation rate, sealing strength, and environmental adaptability of sealing materials in complex saline-alkali environments. By analyzing the quantitative relationship between polymer molecular crosslinking density and degradation rate through molecular dynamics simulation, a degradation control model is constructed to optimize the additive ratio and water absorption control mechanism, adjusting the expansion coefficient range to improve the sealing strength of mine gas drainage boreholes. Dynamic stress response and deformation rate are calculated using finite element analysis to determine material stability parameters, and thermal expansion stability and acid / alkali tolerance are optimized through environmental adaptability testing. The chemical properties of degradation products are extracted, and the neutralizing agent ratio is adjusted to enhance performance in acid and alkali environments. Finally, a multi-objective optimization method is used to balance molecular crosslinking density and water absorption control, achieving synergistic optimization of post-degradation residue control and sealing duration. This invention significantly improves the sealing performance and environmental adaptability of materials in the environment of mine gas drainage boreholes, extends the sealing duration, and reduces the leakage rate, providing an efficient solution for sealing mine gas drainage boreholes. Attached Figure Description

[0015] Figure 1 This is a flowchart illustrating the method for optimizing the formulation of biodegradable phase change gel sealing material for mine gas extraction boreholes according to the present invention. Detailed Implementation

[0016] To further understand the content of this invention, a detailed description of the invention is provided in conjunction with the accompanying drawings and embodiments. The specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention. It should also be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0017] like Figure 1 The method for optimizing the formulation of biodegradable phase change gel sealing material for mine gas drainage boreholes in this embodiment may specifically include: S101. Obtain chemical composition data of the biodegradable sealing material and environmental parameters inside the mine gas drainage borehole. Analyze the relationship between polymer molecular crosslinking density and degradation rate using molecular dynamics simulation technology. Determine the degradation control model after adjusting the molecular crosslinking density. Adjust the material additive ratio and water absorption control mechanism according to the degradation control model. Calculate the expansion coefficient range and evaluate the sealing strength of the mine gas drainage borehole. Extract the chemical characteristics of the degradation products and determine acid and alkali tolerance. Adjust the additive ratio to optimize acid and alkali environment performance. Calculate the dynamic stress response and deformation rate using finite element analysis technology to determine stability parameters. Optimize the material's thermal expansion stability and acid and alkali tolerance using environmental adaptability testing methods. Obtain the sealing strength evaluation and leakage rate control data of the mine gas drainage borehole. Optimize the material formulation using iterative adjustment methods. Analyze the post-degradation residue distribution and sealing duration using degradation lifecycle management methods. Adjust the molecular crosslinking density and water absorption control mechanism using multi-objective optimization methods to obtain the final material formulation that balances post-degradation residue control and sealing duration maintenance.

[0018] Step S1: Obtain chemical composition data of the biodegradable sealing material and environmental parameters inside the mine gas extraction borehole. Analyze the relationship between polymer molecular crosslinking density and degradation rate using molecular dynamics simulation technology to determine the degradation control model after adjusting the molecular crosslinking density.

[0019] In one embodiment, step S1 specifically includes step S11, collecting chemical composition data of the biodegradable sealing material, such as the molecular weight distribution of the polymer chain and the type of crosslinking agent, and simultaneously acquiring environmental parameters inside the mine gas extraction borehole, such as environmental data with a salt ion concentration of 0.5 mol / L and a pH value of 8.5. These data are obtained through on-site sampling and laboratory analysis to ensure the accuracy of the simulation input.

[0020] Step S12: Construct a polymer molecular model using molecular dynamics simulation technology. Molecular dynamics simulation refers to simulating the motion trajectory of atoms and molecules using Newton's mechanical equations and calculating the energy changes of the polymer chain in a saline-alkali environment. The specific process includes initializing the molecular configuration, applying force field parameters such as the Lennard-Jones potential function to describe the interatomic interactions, and then running the simulation trajectory with a time step of 1 fs to analyze the effect of crosslinking density from 0.1 to 0.5 on the degradation rate. For example, when the crosslinking density increases, the simulation shows that the degradation rate decreases by 20% because the crosslinking points hinder the penetration of water molecules.

[0021] Step S13: Establish a degradation control model based on the simulation results. This model uses the Arrhenius equation to describe the relationship between the degradation rate and the crosslinking density, where the degradation rate k = A exp(-Ea / RT), where Ea is the activation energy, which is regulated by the crosslinking density. The model output is the degradation curve at the adjusted crosslinking density, which is used for subsequent optimization.

[0022] For example, in a scenario of crystal deposition in a mine gas extraction borehole, when the salt ion concentration increases to 1.0 mol / L, simulations show that the crosslinking density needs to be adjusted to 0.3 to control the degradation rate at 5% per month. Doing so can have beneficial effects, namely, extending the stability of the material in a high-salt environment and avoiding premature degradation that could lead to seal failure.

[0023] In one possible implementation, for the application of rare salt crystal interference, the simulation of step S12 can be extended to different temperature parameters, such as 25°C and 50°C. The analysis shows that the crosslinking density needs to be higher at high temperatures to maintain the degradation rate balance, which is beneficial for adapting to dynamic underground environments.

[0024] Step S2: Adjust the proportion of material additives and the water absorption control mechanism according to the degradation control model, calculate the expansion coefficient range, and evaluate the sealing strength of the mine gas extraction borehole.

[0025] In one embodiment, step S2 specifically includes step S21, using the degradation control model obtained in S1, adjusting the additive ratio, for example, increasing the crosslinking agent ratio from 5% to 10%, while controlling the water absorption rate to be below 2% by adding hydrophobic groups.

[0026] Step S22: Calculate the range of the expansion coefficient, for example, based on the volume change formula expansion coefficient α=ΔV / (V ΔT) was obtained, with a range of 0.001 to 0.005 / K. Then, the change in the sealing strength of the mine gas drainage borehole under saline-alkali permeation was evaluated, such as the strength decreasing from the initial 100 MPa to 80 MPa.

[0027] For example, the optimized formula maintains stable sealing strength under salt crystal interference, which is beneficial for pipeline repair.

[0028] Step S3: Extract the chemical characteristics of the degradation products and determine their acid and alkali tolerance, and adjust the additive ratio to optimize performance in acid and alkali environments.

[0029] In one embodiment, step S3 specifically includes step S31, extracting the chemical properties of degradation products such as small molecule acids from the optimized formulation in S2, including pH sensitivity and ion exchange capacity.

[0030] Step S32: Determine whether the acid and alkali tolerance meets the groundwater trace salt ion compatibility requirements. For example, if the tolerance threshold is pH 6-9, and the product pH is 5, then it is below the threshold.

[0031] Step S33: Adjust the additive ratio, increase the neutralizer mass percentage from 2% to 4%, and optimize acid-base performance.

[0032] For example, in saline-alkali micro-crack scenarios, this adjustment ensures that the product is compatible with salt ions, avoiding corrosion of pipes, and has the beneficial effect of improving the environmental adaptability of the material.

[0033] In one possible implementation, the assessment process shows that tolerance needs to be adjusted accordingly for different salt ion types, such as sodium chloride or sodium sulfate. Adding a neutralizing agent can stabilize the pH at 7.5, which is beneficial for long-term sealing.

[0034] Step S4: Calculate the dynamic stress response and deformation rate using finite element analysis technology to determine the stability parameters.

[0035] In one embodiment, step S4 specifically includes step S41, performing finite element mesh generation, dividing the material model into 1000 element meshes, with each mesh inputting the properties of the S3 formulation, such as an elastic modulus of 200 MPa. Finite element analysis refers to simulating stress distribution by discretizing the structure and solving equilibrium equations. The process includes applying boundary conditions such as salt-alkali flow loads, and then iteratively solving for displacement and stress.

[0036] Step S42: Calculate the dynamic stress response, for example, the peak stress is 50 MPa under temperature change, and the deformation rate is 0.1% / h.

[0037] Step S43: Determine stability parameters, such as a tolerance level of 85% in the dynamic flow of saline-alkali environment within the mine gas extraction borehole.

[0038] For example, in high-temperature saline-alkali environments, finite element calculations show a 15% reduction in deformation rate, which is beneficial to material durability.

[0039] In one possible implementation, for different flow velocities such as 0.1 m / s to 0.5 m / s, the mesh is refined to 2000 elements, and calculations show that the stability parameters are improved to 90%. The simulation accuracy is ensured through a detailed solution process, and the beneficial effect is accurate prediction of material behavior.

[0040] Step S5: Optimize the material's thermal expansion stability and acid / alkali resistance using environmental adaptability testing methods.

[0041] In one embodiment, step S5 includes inputting the stability parameter of S4, simulating environmental parameters to adjust the crosslinking density and expansion coefficient, and optimizing thermal expansion stability and acid and alkali resistance, such as controlling the thermal expansion coefficient at 0.002 / K.

[0042] For example, this optimized formulation helps to address salt crystal deposition.

[0043] Step S6: Obtain the sealing strength assessment and leakage rate control data of the mine gas drainage borehole, and optimize the material formula through iterative adjustment method.

[0044] In one embodiment, step S6 specifically includes step S61, extracting strength evaluation such as 90 MPa and leakage rate of 0.01 cm / s from the S5 formulation. If the leakage rate is higher than the threshold of 0.005 cm / s or the strength is lower than the threshold of 80 MPa, the additive ratio and stress simulation uniformity are iteratively adjusted.

[0045] For example, after three iterations, the formula was optimized, increasing the strength to 95 MPa, which is beneficial for sealing micro-gaps.

[0046] Step S7: Use degradation lifecycle management methods to analyze the distribution of residues after degradation and the duration of sealing.

[0047] In one embodiment, step S7 specifically includes using the formulation analysis of S6 to determine the residual distribution, such as uniform distribution in the salt and alkali layer, and the sealing duration, such as 6 months, to minimize interference with salt ions by balancing parameters through the degradation rate equation.

[0048] For example, in rare salt crystal scenarios, analysis shows that keeping the residue below 10% is beneficial to environmental stability.

[0049] In one possible implementation, lifecycle management simulates residual diffusion in stages for different degradation phases, with the duration extended to 8 months. The benefit is that it maintains the seal while reducing contamination.

[0050] Step S8 involves adjusting the molecular crosslinking density and water absorption control mechanism through a multi-objective optimization method to obtain a final material formulation that balances post-degradation residue control and sealing duration maintenance.

[0051] In one embodiment, step S8 includes adjusting the crosslinking density to 0.4 and the water absorption rate to 1.5% from the equilibrium parameters of S7 to obtain the final formula, thereby achieving stable sealing of trace elements in the environment of mine gas extraction boreholes.

[0052] For example, multi-objective optimization of the balance between residue and time is beneficial for sustainable applications.

[0053] S102. The analysis of the relationship between polymer molecular crosslinking density and degradation rate using molecular dynamics simulation technology includes: acquiring chemical composition data of polymer molecules and environmental parameters inside the mine gas extraction borehole; constructing a molecular dynamics simulation model; analyzing the influence of changes in molecular crosslinking density on the degradation rate; applying the degradation rate equation to calculate the degradation behavior of the material under the influence of rare crystal deposition by adjusting the molecular crosslinking density; determining the quantitative relationship between molecular crosslinking density and degradation rate; and obtaining a degradation control model after adjusting the molecular crosslinking density.

[0054] In one embodiment, the relationship between polymer molecular crosslinking density and degradation rate is analyzed using molecular dynamics simulation technology, specifically including the following steps.

[0055] Step S1: Obtain chemical composition data of polymer molecules and environmental parameters inside the mine gas extraction borehole.

[0056] Step S11: Extract chemical composition data such as monomer type, molecular weight distribution and functional group ratio of polymer molecules from the material database, and simultaneously collect pH value, ion concentration and temperature parameters of the environment inside the mine gas extraction borehole.

[0057] Step S2: Construct a molecular dynamics simulation model.

[0058] Step S21: Based on the obtained chemical composition data, set the initial configuration of the polymer chain, including chain length and crosslinking point distribution.

[0059] Step S22: Input the environmental parameters inside the mine gas extraction borehole, such as a salt ion concentration of 0.5 mol / L and a temperature of 60 degrees Celsius, to simulate the interaction of molecules in the environment.

[0060] Step S23: Calculate the force field and trajectory between atoms using molecular dynamics methods. Here, molecular dynamics methods refer to the process of simulating molecular motion based on Newton's mechanical equations. The system evolution is predicted by iteratively calculating the position and velocity of each atom. For example, the Verlet algorithm is used to update the particle position, avoiding direct solution of differential equations to improve computational efficiency.

[0061] Specifically, the simulation model built in this step can reflect the real behavior of polymers in saline-alkali environments, which is beneficial to the accuracy of subsequent analyses.

[0062] Step S3: Analyze the effect of changes in molecular crosslinking density on the degradation rate.

[0063] Step S31: Change the crosslinking density parameter in the simulation model from low density 0.1 to high density 0.5, and observe the frequency of polymer chain breakage events.

[0064] Step S32: Quantify the degradation rate as the average number of chain breakage events per unit time and compare the changing trends under different densities.

[0065] Step S33 introduces the effect of salt crystal deposition, simulates the increase in local stress caused by the deposition of rare salt ions such as magnesium ions, and analyzes its role in accelerating degradation.

[0066] For example, in the scenario of sealing boreholes for gas extraction in underground mines, when the crosslinking density increases from 0.2 to 0.4, the degradation rate decreases from 0.01% per day to 0.005%, indicating that density adjustment can effectively delay degradation and is beneficial to extending the service life of materials.

[0067] In one possible implementation, for high salinity and alkalinity environments, when the crosslinking density is set to 0.3, simulations show that the degradation rate is increased by 20% due to crystal deposition. This analysis can be used to optimize material design to adapt to different underground conditions.

[0068] Step S4: Apply the degradation rate equation to calculate the effect of molecular crosslinking density regulation on the degradation behavior of the material under the influence of rare crystal deposition.

[0069] Step S41, select the degradation rate equation, i.e., rate k = A exp(-E_a / RT), where A is the pre-exponential factor, E_a is the activation energy, R is the gas constant, and T is the temperature. Here, the crosslinking density is used as a variable affecting E_a in the calculation, for example, E_a = E_0 + b Density, where E_0 is the fundamental activation energy and b is a coefficient, the value of b being determined by fitting simulation data.

[0070] Step S42: Input rare crystal deposition parameters, such as a deposition thickness of 1 micrometer, and calculate the effect of the adjusted density on k. For example, when the density is adjusted from 0.1 to 0.3, k decreases by 15%.

[0071] Step S43: Simulate the degradation curves of materials under different deposition scenarios to quantify behavioral changes.

[0072] For example, in underground environments with dense salt crystal deposits, calculations using equations show that adjusting the density extends the material degradation time from 30 days to 60 days, which is beneficial for maintaining sealing stability.

[0073] In one embodiment, for scenarios involving trace amounts of rare salt ions, the equation calculation process considers an ion permeation correction term, making the degradation behavior prediction more accurate and reducing environmental interference.

[0074] Step S5: Determine the quantitative relationship between molecular crosslinking density and degradation rate.

[0075] Step S51: Fit the relationship curve from the analysis and calculation results, such as the exponential decay relationship between degradation rate and density.

[0076] Step S6 yields the degradation control model after adjusting the molecular crosslinking density.

[0077] Step S61: Integrate quantitative relationships to form a model that can be used for prediction, such as inputting density values ​​and outputting the expected degradation rate.

[0078] For example, in pipeline repair applications, this model can adjust the density based on underground salinity parameters to achieve degradation control, which is beneficial to environmental adaptability.

[0079] S103. The adjustment of the material additive ratio and water absorption rate control mechanism according to the degradation control model includes: determining the initial formulation of the material additive ratio according to the degradation control model, optimizing the additive ratio through molecular dynamics simulation technology, calculating the influence of the water absorption rate control mechanism on the material expansion coefficient, evaluating the change of the sealing strength of the mine gas drainage borehole under saline-alkali permeation conditions, determining the optimized value of the expansion coefficient range, and obtaining a material formulation that adapts to crystal interference in the mine gas drainage borehole.

[0080] Step S21: Determine the initial formulation of the material additive ratio based on the degradation control model.

[0081] In one embodiment, the degradation control model is a mathematical expression derived from the adjustment of molecular crosslinking density, used to predict the degradation behavior of the material in the environment of a mine gas drainage borehole. First, key parameters, such as the crosslinking density value and the degradation rate constant, are extracted from the model. Then, based on these parameters, an initial proportion of additives is set, for example, setting the crosslinking agent proportion to 10% of the initial value, to ensure the basic stability of the material.

[0082] Step S22: Optimize the additive ratio using molecular dynamics simulation technology.

[0083] Step S221: Input the initial formulation data into the molecular dynamics simulation. Molecular dynamics simulation is a computational method based on Newton's laws of motion, which predicts material properties by simulating the trajectories of atoms and molecules.

[0084] Specifically, the molecular structure model of the initial formulation is imported into the simulation software, the simulation time step is set to 1 femtosecond, and the simulation is run to observe the intermolecular interactions.

[0085] Step S222: Adjust the additive ratio and iteratively simulate. Based on the simulation results, if it is observed that the molecular crosslinking density is too low, leading to excessively rapid degradation, increase the crosslinking agent ratio by 0.5% and rerun the simulation until the degradation rate meets the preset range. This iterative optimization ensures the material's adaptability to saline-alkali environments.

[0086] In one embodiment, for rare crystal deposition scenarios, salt ion parameters are added to the simulation, such as a sodium chloride concentration of 0.1 mol / L. The optimized additive ratio improves the material's tolerance by 20%, which is beneficial in reducing the damage to the seal caused by crystal interference.

[0087] Step S23: Calculate the effect of the water absorption control mechanism on the material expansion coefficient.

[0088] Step S231 defines the water absorption rate control mechanism as a means of adjusting the water absorption capacity of the material by adding hydrophilic groups. The calculation process includes measuring the volume change rate of the material at different water absorption rates, for example, using the formula expansion coefficient = (volume after water absorption - initial volume) / initial volume / water absorption rate, where the volume is obtained through simulation or experiment.

[0089] Step S232, quantifying the impact. If the water absorption rate increases from 5% to 10%, the expansion coefficient may change from 0.002 to 0.004. This change is calculated using numerical integration methods to ensure that the model accurately reflects the expansion behavior during saline-alkali osmosis.

[0090] For example, in mine gas extraction borehole applications, this calculation helps predict whether the material expansion is sufficient to fill the gaps, thereby improving the sealing effect.

[0091] Step S24: Evaluate the change in the sealing strength of the mine gas drainage borehole under saline-alkali permeation conditions.

[0092] Step S241: Simulate saline-alkali permeation conditions, such as setting the leakage rate to 0.01 cm / s, and input the data into the finite element model to evaluate the intensity change. Finite element analysis divides the material into mesh elements and calculates the stress distribution of each element, for example, by calculating stress = modulus × strain using Hooke's law, where the modulus is obtained from the material properties.

[0093] Step S242: Compare the strength values ​​before and after the change. If penetration causes a 15% decrease in strength, record it as a point requiring optimization. This assessment reveals weaknesses under salt crystal interference, which is beneficial for subsequent adjustments.

[0094] In one embodiment, for high-temperature saline-alkali environments, the assessment showed that the rate of intensity change was controlled within 5%, improving the reliability of pipeline repair.

[0095] Step S25: Determine the optimal value for the range of expansion coefficients.

[0096] Based on the aforementioned calculations and evaluations, an expansion coefficient range of 0.001 to 0.005 was selected as the optimal value to ensure the material's equilibrium under disturbance.

[0097] Step S26: Obtain the material formula that adapts to crystal interference in the borehole of mine gas extraction.

[0098] The optimized proportions and ranges are integrated to form the final formulation, such as 15% crosslinking agent and 8% hydrophilic agent, which is suitable for sealing the environment inside the borehole of mine gas extraction.

[0099] For example.

[0100] In one possible implementation, this formulation showed strong adaptability to rare crystal deposition in simulations, with more precise degradation control, which is beneficial for maintaining the stability of underground trace elements.

[0101] S104. Extracting the chemical characteristics of the degradation products and determining their acid and alkali tolerance includes: extracting the chemical composition data of the degradation products from the optimized material formulation, analyzing the acid and alkali tolerance of the degradation products in the mine gas extraction borehole environment, determining whether the acid and alkali tolerance meets a preset threshold, and if the acid and alkali tolerance is lower than the preset threshold, adjusting the additive ratio to increase the mass ratio of the neutralizer, and determining the adjusted material formulation for acid and alkali environment performance testing.

[0102] Step S1: Extract chemical composition data of degradation products from the optimized material formulation.

[0103] Step S11: Obtain the optimized material formula with the expansion coefficient range calculated. The expansion coefficient range of the formula has been calculated by adjusting the proportion of material additives and the water absorption control mechanism through molecular dynamics simulation technology. The change of the sealing strength of the mine gas drainage borehole under saline-alkali permeation conditions is also evaluated.

[0104] Step S12: Based on the material formulation, simulate the degradation process to extract chemical composition data of the degradation products, including degradation product components after polymer molecule crosslinking density adjustment, such as organic acid or salt residues.

[0105] Step S2: Analyze the acid and alkali tolerance of the degradation products in the mine gas extraction borehole environment.

[0106] Step S21: Obtain environmental parameters of the mine gas drainage borehole, including salt and alkali concentration and pH value. These parameters are obtained from the environmental parameters inside the mine gas drainage borehole. The relationship between the regulation of polymer molecular crosslinking density and degradation rate is analyzed by molecular dynamics simulation technology.

[0107] Step S22: Input the extracted chemical composition data of the degradation products into the simulation environment, calculate the interaction between the degradation products and trace salt ions such as sodium chloride or sulfate, and evaluate the acid-base tolerance, that is, the stability of the degradation products under pH changes, for example, by calculating the pH buffering capacity to quantify the tolerance level.

[0108] Step S221.

[0109] Specifically, the degradation rate equation is used to determine the degradation behavior of materials under the influence of molecular crosslinking density on rare crystal deposition. This is extended to analyze the acid-base response of degradation products at different salt ion concentrations. For example, in a low-concentration salt ion environment, the degradation products may remain neutral, while at a high concentration, they may become acidic.

[0110] Step S222: Further, finite element analysis technology is applied to input the material properties into the model, and the deformation rate quantification index under dynamic stress response and temperature tolerance calculation is simulated, thereby extending the analysis of acid and alkali tolerance in the dynamic flow of saline-alkali environment in the mine gas drainage borehole.

[0111] Step S3: Determine whether the acid-base tolerance meets the preset threshold.

[0112] Step S31: Set a preset threshold, for example, the acid-base tolerance threshold is a pH change of no more than 1.0 unit, and compare the tolerance level obtained from the analysis with the threshold.

[0113] Step S4: If the acid-base tolerance is lower than the preset threshold, adjust the additive ratio to increase the mass percentage of the neutralizer.

[0114] Step S41: Based on the judgment result, if it is below the threshold, the additive ratio is optimized by iterative adjustment method, for example, increasing the mass ratio of neutralizing agent such as sodium bicarbonate from 5% to 10% to improve the acid-base buffering capacity of degradation products.

[0115] Step S42: Recalculate the expansion coefficient range and evaluate the change in the sealing strength of the mine gas drainage borehole under saline-alkali permeation conditions to ensure that the adjusted material adapts to crystal interference in the mine gas drainage borehole.

[0116] Step S5: Determine the adjusted material formulation after acid and alkali environment performance testing.

[0117] Step S51: Integrate the adjusted additive ratios to obtain the final formula, which will be used for subsequent high-temperature environment data acquisition and performance data analysis under acid and alkali environment performance tests.

[0118] In one embodiment, step S2 involves analyzing the acid and alkali tolerance of the degradation products in the mine gas extraction borehole environment.

[0119] Specifically, by obtaining environmental parameters inside the mine gas extraction borehole, such as a salt concentration of 0.1 mol / L and a pH of 8.0, the behavior of degradation products, such as lactic acid generated from the degradation of polylactic acid, in this environment is simulated, and its pH buffering capacity is calculated. If the buffering capacity makes the pH change less than 0.5, then the tolerance is high. This helps to minimize the interference with the balance of rare salt ions underground and improve the stability of the material in pipeline repair and sealing.

[0120] For example, in scenarios with low concentrations of trace salt ions in groundwater, degradation products may be neutralized rapidly. However, if the concentration increases to 0.5 mol / L, analysis shows a decrease in tolerance, leading to an increased risk of acidification. Through this analysis, the molecular crosslinking density can be optimized to ensure that the degradation control model adapts to different salt crystal deposition levels, thereby improving the sealing duration.

[0121] In one embodiment, step S4 involves adjusting the additive ratio to increase the mass percentage of the neutralizer.

[0122] For example, when the acid-base tolerance is below the threshold, such as when the pH change exceeds 1.0, increasing the proportion of neutralizing agent to 15% can effectively neutralize the acidic substances produced by degradation, prevent interference with the compatibility of groundwater salt ions, and bring beneficial effects such as extending the sealing life and reducing environmental pollution.

[0123] For example, further considering the impact of rare crystal deposition, if the neutralizer accounts for 5% in the initial formula, the adjusted formula can be verified by inputting the environmental parameters of the enhanced material after adjustment, so as to make the leakage rate control lower than the preset threshold and improve the balance parameters for evaluating the sealing strength of mine gas drainage boreholes.

[0124] In one embodiment, for the extension of step S2, the analysis process can start from the core pH buffer calculation. For example, the tolerance of degradation products in a salt ion environment is evaluated by a quantitative deformation rate index. If the deformation rate is less than 0.01, it indicates high tolerance. This is connected with the tolerance level of stability parameters extracted in the dynamic flow of salt and alkali in the environment of mine gas extraction boreholes. This is beneficial to achieving a final material formulation that takes into account both post-degradation residue control and sealing duration maintenance.

[0125] S105. The calculation of dynamic stress response and deformation rate by finite element analysis technology includes: acquiring high-temperature environment data and acid-alkali environment performance test data, performing mesh generation and material property input by finite element analysis technology, constructing a dynamic stress response simulation model, calculating the deformation rate quantification index of the material in the dynamic flow of saline-alkali environment in the mine gas drainage borehole, determining the tolerance level of stability parameters in high-temperature and acid-alkali environments, and obtaining the stability parameter extraction results.

[0126] Step S1: Obtain high-temperature environment data and acid-base environment performance test data.

[0127] In one embodiment, thermal expansion data of the material in the range of 80 to 120 degrees Celsius and strength change data after immersion in a solution with a pH value of 5 to 9 are collected by a laboratory simulation device. These data are derived from the test results after the material formulation was adjusted in the early stage, to ensure the accuracy of subsequent simulations.

[0128] Step S11: Based on the collected high-temperature environment data, record the elastic modulus and thermal conductivity values ​​of the material at different temperatures, for example, the elastic modulus is 2.5 GPa at 100 degrees Celsius.

[0129] Step S12: Using acid and alkali environment performance test data, quantify the corrosion rate of the material in salt and alkali solutions, for example, the corrosion rate is 0.01 mm per year under pH 7 conditions.

[0130] Step S2 involves mesh generation and material property input using finite element analysis technology.

[0131] For example, finite element analysis (FEM) is a numerical method used to solve for stress distribution in complex structures by approximating the behavior of a continuous medium by discretizing the object into a finite number of elements. In mesh generation, the material model is divided into tetrahedral meshes with a mesh size controlled between 0.1 mm and 1 mm to balance computational accuracy and efficiency. Material property inputs include assigning values ​​such as the elastic modulus, thermal conductivity, and corrosion rate obtained in step S1 to each mesh element; for example, inputting a Poisson ratio of 0.3 ensures that the model reflects the actual load of the environment inside the mine gas drainage borehole.

[0132] Step S21: Select an adaptive mesh generation method and refine the mesh density according to the dynamic region of saline-alkali flow in the mine gas drainage borehole environment. For example, increase the mesh density to 1000 units per cubic centimeter at the flow boundary to capture local stress concentration.

[0133] Step S22: When inputting material properties, adjust the coefficient of thermal expansion in conjunction with high-temperature data, for example, set the coefficient to 1.2 × 10^-5 per degree Celsius, and verify the consistency of the input to avoid simulation errors.

[0134] Step S3: Construct a dynamic stress response simulation model.

[0135] In one embodiment, based on the mesh and properties of step S2, the model is constructed by defining boundary conditions such as a flow velocity of 0.5 m / s and a pressure of 2 MPa in the saline-alkali environment inside a mine gas extraction borehole, then assembling the stiffness matrix and mass matrix, and simulating the dynamic response using a time-stepping method, for example, using an explicit integration method to calculate the displacement and stress changes at each time step. The model constructed in this way can simulate the behavior changes of materials in a continuous flow environment.

[0136] Step S31: Set initial conditions by incorporating the acid-base data from step S1 into the model. For example, define the material weakening factor under pH influence as 0.8 to adjust local properties.

[0137] Step S32: Verify the model by comparing the deviation between the simulated stress and the experimental data. For example, if the deviation is less than 5%, the model is confirmed to be effective.

[0138] Step S4: Calculate the quantitative index of the deformation rate of the material in the dynamic flow of saline-alkali environment within the mine gas extraction borehole.

[0139] For example, the deformation rate quantification index is obtained by calculating the rate of change of the strain tensor of each grid cell in the model over time. The specific process includes extracting the displacement field from the model in step S3 and then using the finite difference method to calculate the deformation rate. For example, at a flow velocity of 0.5 m / s, the deformation rate is 0.02% per hour. This index quantifies the degree of deformation of the material under the disturbance of salt crystal deposition and is helpful for evaluating long-term stability.

[0140] Step S41: For different flow scenarios, iteratively calculate the deformation rate. For example, in areas with high salt concentration, the deformation rate increases to 0.03% per hour, highlighting the unique influence of the environment crystals inside the mine gas drainage borehole on the material.

[0141] Step S42: Summarize the indicators to form a distribution map, which is used to visualize high-risk deformation areas, thereby optimizing the material formulation to reduce the deformation rate.

[0142] Step S5: Determine the tolerance level of stability parameters in high temperature and acid / alkali environments.

[0143] In one embodiment, stability parameters such as the maximum permissible deformation rate threshold are 0.05% per hour. The tolerance level is determined by comparing the calculated index in step S4 with the threshold. For example, under conditions of 100 degrees Celsius and pH 8, the tolerance level is 85%, indicating that the material can withstand 85% of the expected load without failure.

[0144] Step S51: Classify the tolerance level as high, medium, or low. For example, a tolerance level above 80% is considered high, ensuring that it matches the business scenario of dynamic flow of saline-alkali environment within the mine gas extraction borehole.

[0145] Step S6 yields the results of stability parameter extraction.

[0146] For example, the extracted results include numerical values ​​of tolerance level and a list of corresponding parameters, which are used as the final output for subsequent material optimization. For instance, the results show that the tolerance level is 90% under a specific high-temperature acid-base combination, closely related to the theme of calculating dynamic stress response and deformation rate through finite element analysis technology.

[0147] In one embodiment, for the mesh division in step S2, considering the scenario of rare crystal deposition in the environment inside the mine gas extraction borehole, for example, when the crystal size is 0.5 mm, the mesh needs to be refined to match the crystal boundary. Calculations show that this division can improve the simulation accuracy by 15% and is beneficial for capturing microscopic interference.

[0148] For example, in the calculation of step S4, for the scenario of high temperature of 100 degrees Celsius, the deformation rate increases from 0.01% per hour to 0.025% per hour. The analysis process reveals that thermal expansion exacerbates the deformation caused by salt penetration, emphasizing the role of quantitative indicators in predicting material failure, thereby improving the durability of sealing materials.

[0149] In one embodiment, when building the model in step S3, acid and base data were incorporated to adjust the stress relaxation parameters. For example, the relaxation time was shortened by 20% at pH 6. Simulation results show that this can more accurately reflect the response in dynamic flow, and the beneficial effect is to reduce the risk of accidental breakage in actual deployment.

[0150] For example, regarding the determination of step S5, the combination of high temperature (120 degrees Celsius) and pH 9 was analyzed, and the tolerance level dropped to 70%. The robustness of the parameters was supported by comparing multiple scenarios, explaining that doing so can guide the addition of neutralizing agents to maintain stability.

[0151] In one embodiment, the quantitative index calculation in step S4 shows that, in an extended scenario with a flow velocity of 1 m / s in saline-alkali soil, the deformation rate is 0.04% per hour. Inference shows that this is due to the increase in shear stress induced by the flow. Multiple aspects, such as velocity changes and concentration gradients, jointly support the comprehensiveness of the calculation, which is beneficial for adapting to different environmental conditions inside mine gas extraction boreholes.

[0152] S106. The method of optimizing the thermal expansion stability and acid-base tolerance of materials using environmental adaptability testing includes: obtaining environmental adaptability test data based on the stability parameter extraction results; adjusting the molecular crosslinking density and expansion coefficient range by simulating environmental parameter input; analyzing the thermal expansion stability and acid-base tolerance of the material in the dynamic flow of saline-alkali environment in the mine gas extraction borehole; determining the optimized molecular crosslinking density and expansion coefficient range; and obtaining a material formulation enhanced by simulating environmental parameter input.

[0153] S1. Based on the stability parameter extraction results, obtain environmental adaptability test data.

[0154] In one embodiment, the stability parameter extraction results include quantitative indices of the material's deformation rate under high temperature and acid-base conditions. After obtaining these indices from finite element analysis, corresponding environmental adaptability test data are directly extracted from the test database, such as temperature fluctuations and pH ranges in the saline-alkali flow environment within mine gas drainage boreholes. This data is used for subsequent adjustments to ensure the continuity of the material formulation.

[0155] S2 allows for the adjustment of molecular crosslinking density and expansion coefficient range through simulated environmental parameter input.

[0156] S21 adjusts the molecular crosslinking density by simulating environmental parameters.

[0157] For example, temperature and salinity parameters from environmental adaptability test data can be input into molecular dynamics simulations to calculate the change in the number of crosslinking points between polymer chains. The proportion of crosslinking agent can be gradually increased from 0.5% to 2.0%, and the increase in intermolecular bonding strength can be observed. This allows the density to be adjusted to a target value, such as 10^3 to 10^4 crosslinking points per cubic centimeter.

[0158] S22 allows adjustment of the expansion coefficient range by simulating environmental parameter inputs.

[0159] In one embodiment, the same parameters are input using finite element analysis to simulate the material volume change rate. The proportion of additives, such as water-absorbing polymers, is adjusted from 1% to 3%, and the coefficient of expansion is calculated from 0.001 to 0.005 per degree Celsius to ensure stability under saline-alkali permeation.

[0160] S3, analyze the thermal expansion stability and acid-base tolerance of the material in the dynamic flow of saline-alkali environment inside the mine gas drainage borehole.

[0161] S31, analyze thermal expansion stability.

[0162] For example, based on the adjusted molecular crosslinking density, the material was placed in a saline-alkali flow environment simulating the environment inside a mine gas extraction borehole, with the temperature rising from 20 degrees Celsius to 60 degrees Celsius. The volume expansion rate was monitored to be no more than 2%, and the stability was evaluated by comparing the deformation data under different densities.

[0163] S32, analyze acid and alkali tolerance.

[0164] In one embodiment, dynamic flow parameters with pH ranging from 5 to 9 are input, and the changes in the material degradation rate are tested. If the tolerance is shown to be a strength decrease of less than 10% under pH changes, then its adaptability to salt ion interference is confirmed.

[0165] S4, determine the optimized molecular crosslinking density and expansion coefficient range.

[0166] Based on the analysis results, a molecular crosslinking density of 1.5 × 10^3 crosslinking points per cubic centimeter and an expansion coefficient ranging from 0.002 to 0.004 degrees Celsius were selected as the optimized values ​​for formulation enhancement.

[0167] S5, obtain the material formulation enhanced by the input of simulated environmental parameters.

[0168] The optimized values ​​were incorporated into the basic formula, and the proportion of neutralizing agent was increased to 1.5% to form the final formula to cope with the dynamic flow of saline-alkali environment in the mine gas extraction borehole.

[0169] In one embodiment, the adjustment process of S2 considers the rare crystal deposition scenario in the environment inside the mine gas extraction borehole. The simulation parameters include a salt concentration of 0.1 mol / L. Adjusting the crosslinking density can reduce the degradation rate by 20%, which is beneficial to prolonging the sealing duration.

[0170] For example, in the analysis of S3, if the flow rate of salt and alkali is 0.5 m / s, the thermal expansion stability is verified by the deformation rate being less than 1%, and the acid and alkali tolerance maintains 95% strength under pH 7.5 conditions. These mutually support the optimization path.

[0171] In one embodiment, considering the innovations of S2 and S3 from the perspective of temperature parameters, if the high temperature reaches 50 degrees Celsius, adjusting the expansion coefficient can reduce the permeation of micro-gaps in the pipe by 15%, thereby improving the overall tolerance level and benefiting the stability of the material under salt crystal interference.

[0172] S107. The acquisition of mine gas drainage borehole sealing strength assessment and leakage rate control data includes: extracting mine gas drainage borehole sealing strength assessment data and leakage rate control data from the enhanced material formulation; determining whether the mine gas drainage borehole sealing strength meets the sealing requirements of the mine gas drainage borehole; determining whether the leakage rate control is lower than a preset threshold; if the leakage rate control is higher than the preset threshold or the mine gas drainage borehole sealing strength is lower than the preset threshold, then optimizing the additive ratio and dynamic stress response uniformity through an iterative adjustment method to obtain the optimized material formulation for mine gas drainage borehole sealing strength assessment.

[0173] In one embodiment, the extraction of mine gas drainage borehole sealing strength assessment data and leakage rate control data from the enhanced material formulation specifically includes step S1, extracting mine gas drainage borehole sealing strength assessment data from the enhanced material formulation. This data is obtained through previous molecular dynamics simulation calculations and reflects the strength change of the material under saline-alkali permeation conditions.

[0174] Step S2: Extract leakage rate control data, which is calculated based on the expansion coefficient range to quantify the material's ability to block interference from salt crystals.

[0175] Step S3: Determine whether the sealing strength of the mine gas drainage borehole meets the sealing requirements of the mine gas drainage borehole.

[0176] Specifically, the extracted strength data is compared with a preset micro-gap sealing threshold, such as the strength needing to reach at least 5MPa to ensure sealing continuity.

[0177] Step S4: Determine whether the leakage rate control is lower than the preset threshold, for example, the preset threshold is 0.01cm / s. If the extracted data is lower than this value, it is considered qualified.

[0178] Step S5: If the leakage rate is higher than the preset threshold or the sealing strength of the mine gas drainage borehole is lower than the preset threshold, the additive ratio and dynamic stress response uniformity are optimized by iterative adjustment method to obtain the optimized material formula for evaluating the sealing strength of the mine gas drainage borehole.

[0179] Step S51: Initialize the iteration parameters, including the current additive ratio, for example, the neutralizer ratio is 10%, and the dynamic stress response uniformity index, and simulate the initial stress distribution through finite element analysis.

[0180] In step S52, in each iteration, the proportion of additives is adjusted, for example, the proportion of neutralizer is increased by 0.5%, and the dynamic stress response is re-simulated. The uniformity is calculated as the standard deviation of the stress distribution. The smaller the standard deviation, the higher the uniformity.

[0181] Step S53: Evaluate the adjusted sealing strength and leakage rate of the mine gas extraction borehole. If the threshold is still not met, repeat the iteration until it is met. The iteration method adopts the gradient descent algorithm, which calculates the difference between the objective function, such as the strength and the threshold, as the gradient and gradually minimizes the difference to optimize the parameters.

[0182] Step S54: Output the optimized material formula to ensure improved tolerance level in the dynamic flow of saline-alkali environment within the mine gas extraction borehole.

[0183] For example, in a scenario where the environmental parameters within a mine gas drainage borehole are a salt ion concentration of 200 mg / L, the initial extracted sealing strength of the borehole is 4 MPa, lower than the preset threshold of 5 MPa, and the leakage rate is 0.02 cm / s, higher than the threshold of 0.01 cm / s. Through iterative adjustments, increasing the neutralizing agent ratio from 10% to 12% reduced the standard deviation of dynamic stress response uniformity from 0.8 to 0.3, resulting in an optimized strength of 5.5 MPa and a leakage rate reduced to 0.008 cm / s, meeting the sealing requirements. This adjustment helps minimize salt crystal deposition interference and improves the stability of the material in micro-cracks.

[0184] In one possible implementation, for high-temperature saline-alkali environments such as 50°C, initial data extraction showed a strength of 4.2 MPa and a leakage rate of 0.015 cm / s. During iterative optimization, the proportion of additives was preferentially adjusted to enhance thermal expansion stability, for example, increasing the crosslinking agent ratio by 1%. Combined with dynamic stress simulation to achieve uniform distribution, after 5 iterations, the strength reached 5.3 MPa, and the leakage rate was 0.009 cm / s. This method ensures that the material adapts to the rare salt ion balance, extending the sealing duration.

[0185] For example, considering the underground environment with dense salt crystal deposits, after extracting data, it is determined that the strength is insufficient. By iteratively refining the dynamic stress response, the uniformity is improved by 20%. The beneficial effect is to reduce local stress concentration, avoid early degradation, and achieve stable sealing of underground trace elements.

[0186] In one embodiment, the iterative adjustment in step S5 is further extended to multiple cycles. For example, in scenarios where saline-alkali permeation conditions vary, the first cycle adjusts the additive ratio to optimize acid-alkali tolerance, while the second cycle focuses on dynamic stress uniformity simulation, jointly supporting the optimization of the formulation. This progressive logic ensures the integrity from core strength enhancement to extended permeation control, which is beneficial for dealing with different levels of salt crystal interference.

[0187] S108. The method of adjusting the molecular crosslinking density and water absorption rate control mechanism through multi-objective optimization includes: extracting degradation rate equation application data and mine gas drainage borehole sealing strength assessment data based on degradation life cycle management analysis results; adjusting the molecular crosslinking density and water absorption rate control mechanism through multi-objective optimization method; balancing residual control after degradation and sealing duration maintenance; and determining the final material formulation that takes into account the stable sealing of trace elements in the mine gas drainage borehole environment.

[0188] Step S1: Based on the degradation lifecycle management analysis results, extract the degradation rate equation application data and the mine gas drainage borehole sealing strength assessment data.

[0189] Step S11: Obtain the post-degradation residue distribution data and sealing duration data obtained from the degradation lifecycle management analysis, and combine these data with the preset degradation rate equation to calculate the degradation rate value under a specific saline-alkali environment.

[0190] Step S12: Extract the strength change curve data from the mine gas extraction borehole sealing strength assessment and correlate it with the degradation rate value to generate an input dataset for optimization.

[0191] Step S2 involves adjusting the molecular crosslinking density and water absorption rate control mechanism using a multi-objective optimization method.

[0192] Step S21: Based on the extracted dataset, set a multi-objective function, one of which is to minimize the residual amount after degradation and the other is to maximize the sealing duration. The molecular crosslinking density parameter is adjusted through iterative calculation to gradually optimize it from the initial value to the equilibrium point.

[0193] Step S211: The genetic algorithm is used as a specific implementation of the multi-objective optimization method. The algorithm encodes the molecular cross-linking density variable by simulating the natural selection process to form an initial population. Then, new solutions are generated through crossover and mutation operations. The fitness function is used to evaluate the quality of each solution. The fitness function is defined as the weighted sum of the residual amount after degradation and the sealing duration. The weights are set to 0.4 and 0.6 according to the trace element stability requirements of the environment inside the mine gas drainage borehole.

[0194] In step S212, during the adjustment process, the water absorption rate control mechanism is optimized by modifying the additive ratio to control the water absorption and swelling behavior of the material, ensuring that the optimized molecular crosslinking density matches the water absorption rate parameter and forms a continuous optimized chain.

[0195] Step S22: Monitor the intermediate results in the optimization iteration. If the degradation rate data indicates that the residual control is not up to standard, increase the adjustment range of molecular crosslinking density; otherwise, refine the water absorption rate control to extend the sealing time.

[0196] Step S3: Balance post-degradation residue control and seal duration maintenance.

[0197] Step S31: Compare the simulated effects of the optimized molecular crosslinking density and water absorption rate parameters on the residual amount and sealing time, and calculate the equilibrium parameters, such as the residual control efficiency index. This index is obtained by dividing the residual amount by the initial material mass and ensuring that it is below 0.1 to minimize the interference with the balance of rare salt ions in the ground.

[0198] Step S32: Adjust the balance parameters to keep the sealing duration within a preset range. For example, increase the proportion of neutralizing agent to stabilize residual degradation products, thereby achieving a dynamic balance between residue control and time maintenance.

[0199] Step S4: Determine the final material formula that takes into account the stability and sealing of trace elements in the borehole environment of mine gas extraction.

[0200] Step S41: Select the optimal molecular crosslinking density value and water absorption control setting from the balance parameters, and generate the final formula in combination with the material additive ratio to ensure stable sealing under rare crystal deposition conditions.

[0201] In one embodiment, step S2 involves adjusting the molecular crosslinking density and water absorption rate control mechanism using a multi-objective optimization method.

[0202] Specifically, under the environmental parameters of 5% salt ion concentration in the mine gas drainage borehole, the data from the extracted degradation rate equation showed an initial degradation rate of 0.02 g / day. The sealing strength assessment data for the mine gas drainage borehole showed an initial strength of 80 MPa. After 50 iterations using a genetic algorithm, the molecular crosslinking density was adjusted from 1.5 to 2.2, while the water absorption rate was controlled below 15%. This balanced the reduction of residual amount after degradation to 30% of the original amount and extended the sealing duration to 180 days. The beneficial effect is improved material adaptability under trace element interference.

[0203] For example, in another possible implementation, for a scenario with a higher salt ion concentration of 10%, the genetic algorithm in step S21 uses different weights of 0.3 and 0.7. After optimization, the molecular crosslinking density reaches 2.5, the water absorption rate is controlled at 12%, and the residual control efficiency index drops to 0.08. The sealing time is maintained at more than 150 days. This demonstrates the robustness of the optimization method in a high-salt environment and can effectively minimize the interference with underground trace elements.

[0204] In one embodiment, the balancing process in step S3 further considers temperature factors. For example, when the ambient temperature is 40°C, a temperature correction coefficient of 1.1 is added when calculating the residual control efficiency index to ensure that the balancing parameters adapt to the dynamic flow of saline-alkali conditions. The beneficial effect is to enhance the tolerance level of the material and avoid sealing failure caused by premature degradation.

[0205] For example, when determining the final material formulation in step S4, for scenarios with different salt crystal deposition thicknesses such as 2 mm and 5 mm, the molecular crosslinking densities selected are 2.0 and 2.4, respectively. The proportion of additives in the formulation is optimized to a neutralizer ratio of 15% and 20%, which takes into account both residue control and seal maintenance, and achieves stable sealing of trace elements in the environment of mine gas extraction boreholes.

[0206] The above description is merely a specific implementation of this specification. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the scope of protection of this specification is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this specification, and these modifications or substitutions should all be covered within the scope of protection of this specification.

Claims

1. A method for optimizing the formulation of a biodegradable phase change gel sealing material for mine gas drainage boreholes, characterized in that, include: S1: Obtain chemical composition data of biodegradable sealing materials and environmental parameters inside mine gas extraction boreholes; analyze the relationship between polymer molecular crosslinking density and degradation rate through molecular dynamics simulation technology; and determine the degradation control model after adjusting molecular crosslinking density. S2: Adjust the proportion of material additives and the water absorption control mechanism according to the degradation control model, calculate the expansion coefficient range and evaluate the sealing strength of the mine gas extraction borehole to obtain the optimized material formula. S3: Based on the optimized material formulation obtained in step S2, extract the chemical characteristics of the degradation products and determine the acid and alkali tolerance. If the preset conditions are not met, adjust the additive ratio to obtain the material formulation with optimized acid and alkali performance. S4: Based on the optimized material formulation obtained in step S3, the dynamic stress response and deformation rate are calculated using finite element analysis technology to determine the stability parameters. This includes: acquiring high-temperature environment data and acid-alkali environment performance test data; performing mesh generation and material property input using finite element analysis technology; constructing a dynamic stress response simulation model; calculating the deformation rate quantification index of the material in the dynamic flow of saline-alkali environment in the mine gas extraction borehole; and determining the tolerance level of the material stability parameters in high-temperature and acid-alkali environments based on the calculated deformation rate quantification index, thus obtaining the stability parameter extraction results. S5: Based on the stability parameters determined in step S4, the thermal expansion stability and acid and alkali resistance of the material are optimized using environmental adaptability testing methods to obtain an enhanced material formulation; S6: Based on the enhanced material formula obtained in step S5, obtain the sealing strength assessment and leakage rate control data of the mine gas drainage borehole. If the preset conditions are not met, optimize the material formula by iterative adjustment method to obtain the optimized sealing strength assessment. S7: Based on the optimized material formulation obtained in step S6, the degradation lifecycle management method is used to analyze the residual distribution and sealing duration after degradation. S8: Based on the degradation lifecycle management analysis results, the degradation rate equation application data and the mine gas drainage borehole sealing strength assessment data are extracted. The molecular crosslinking density and water absorption control mechanism are adjusted through a multi-objective optimization method to balance the control of post-degradation residues and the maintenance of sealing duration, and to determine the final material formulation that takes into account the stable sealing of trace elements in the mine gas drainage borehole environment.

2. The method as described in claim 1, characterized in that, The analysis of the relationship between polymer molecular crosslinking density and degradation rate using molecular dynamics simulation technology includes: acquiring chemical composition data of polymer molecules and environmental parameters inside mine gas extraction boreholes; constructing a molecular dynamics simulation model; analyzing the influence of changes in molecular crosslinking density on the degradation rate; applying the degradation rate equation to calculate the degradation behavior of materials under the influence of rare crystal deposition by adjusting molecular crosslinking density; determining the quantitative relationship between molecular crosslinking density and degradation rate; and obtaining a degradation control model after adjusting molecular crosslinking density.

3. The method as described in claim 1, characterized in that, The adjustment of the material additive ratio and water absorption rate control mechanism according to the degradation control model includes: determining the initial formulation of the material additive ratio according to the degradation control model, optimizing the additive ratio through molecular dynamics simulation technology, calculating the influence of the water absorption rate control mechanism on the material expansion coefficient, evaluating the change of the sealing strength of the mine gas drainage borehole under saline-alkali permeation conditions, determining the optimized value of the expansion coefficient range, and obtaining a material formulation that adapts to crystal interference in the mine gas drainage borehole.

4. The method as described in claim 1, characterized in that, The extraction of chemical properties of degradation products and determination of acid and alkali tolerance include: extracting chemical composition data of degradation products from the optimized material formulation obtained in step S2, analyzing the acid and alkali tolerance of degradation products in the mine gas extraction borehole environment, determining whether the acid and alkali tolerance meets a preset threshold, and if the acid and alkali tolerance is lower than the preset threshold, adjusting the additive ratio to increase the mass ratio of neutralizer, and determining the adjusted material formulation for acid and alkali environment performance testing.

5. The method as described in claim 1, characterized in that, The method of optimizing the thermal expansion stability and acid-base tolerance of materials using environmental adaptability testing to obtain an enhanced material formulation includes: obtaining environmental adaptability test data based on the stability parameter extraction results; adjusting the molecular crosslinking density and expansion coefficient range by simulating environmental parameter inputs; analyzing the thermal expansion stability and acid-base tolerance of the material in the dynamic flow of saline-alkali environment within the mine gas extraction borehole; determining the optimized molecular crosslinking density and expansion coefficient range; and obtaining the enhanced material formulation.

6. The method as described in claim 1, characterized in that, The process of obtaining sealing strength assessment and leakage rate control data for mine gas drainage boreholes includes: extracting sealing strength assessment data and leakage rate control data for mine gas drainage boreholes from the enhanced material formulation obtained in step S5; determining whether the sealing strength of the mine gas drainage boreholes meets the sealing requirements of the mine gas drainage boreholes; determining whether the leakage rate control is lower than a preset threshold; if the leakage rate control is higher than the preset threshold or the sealing strength of the mine gas drainage boreholes is lower than the preset threshold, then optimizing the additive ratio and dynamic stress response uniformity through an iterative adjustment method to obtain an optimized material formulation for the sealing strength assessment of mine gas drainage boreholes.

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