Compound hydrate inhibitor, natural gas consumption prediction device and prediction method

Abstract

The invention provides a compound hydrate inhibitor and a natural gas consumption prediction device and method, the compound hydrate inhibitor comprises a kinetic hydrate inhibitor, a thermodynamic hydrate inhibitor and 900-1000 parts of solvent water, the kinetic hydrate inhibitor comprises 5-20 parts by weight of polyvinylpyrrolidone, the thermodynamic hydrate inhibitor comprises 10-20 parts by weight of polyvinylpyrrolidone, and the solvent water comprises 10-20 parts by weight of a solvent. The thermodynamic hydrate inhibitor is prepared from 19 to 38 parts of monohydric alcohol compound and 15 to 20 parts of soluble chlorine salt. The hydrate inhibitor has a remarkable inhibition effect on a hydrate nucleation stage, after polyvinylpyrrolidone, methyl alcohol and sodium chloride are mixed, the inhibition effect of the hydrate can be synergistically improved, the compound hydrate inhibitor is applied to a natural gas consumption prediction device, and the natural gas consumption prediction efficiency is improved. Generation of natural gas hydrate in the pipeline conveying process of natural gas can be further simulated, and more accurate natural gas consumption prediction can be carried out on an untested formula or according to actual natural gas conveying conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of natural gas transportation, and mainly relates to a compound hydrate inhibitor, a natural gas gas consumption prediction device and a prediction method. Background Art

[0002] As a high-quality clean energy, natural gas is regarded as one of the most important clean energies in the 21st century. In recent years, with the rapid development of China's economy, the shortage of domestic energy demand has become increasingly serious, which has also accelerated the development of natural gas to alleviate China's energy security problems and environmental pollution problems. The rapidly growing also includes the mileage of natural gas pipeline transportation.

[0003] In the actual process of natural gas gathering and transportation, especially under the combination of lower temperature and higher pressure, natural gas is prone to form hydrates with the water existing in the system. Hydrates usually exist in the form of solids that are basically insoluble in the fluid itself. The hydrate solids (or crystals) cause blockage and / or obstruction of pipelines or transmission pipelines or other pipelines, valves and / or safety devices and / or other equipment. With the continuous increase in the scale of natural gas transportation through pipelines, it is urgent to solve the problem of hydrate formation and its impacts. Summary of the Invention

[0004] In view of the fact that in the prior art, the process of natural gas gathering and transportation is prone to transportation problems due to the formation of hydrates, the purpose of the present invention is to provide a compound hydrate inhibitor, a natural gas gas consumption prediction device and a prediction method.

[0005] In order to achieve the above purpose, the present invention adopts the following technical solutions:

[0006] The first aspect of the present application discloses a compound hydrate inhibitor, which includes a kinetic hydrate inhibitor, a thermodynamic hydrate inhibitor and 900-1000 parts of solvent water. Among them, in terms of parts by weight, the kinetic hydrate inhibitor includes 5-20 parts of polyvinylpyrrolidone, and the thermodynamic hydrate inhibitor includes 19-38 parts of a monohydric alcohol compound and 15-20 parts of a soluble chloride salt.

[0007] In one embodiment, the monohydric alcohol compound includes any one of methanol, ethanol, and propanol.

[0008] In one embodiment, the soluble chloride salt includes any one of sodium chloride and potassium chloride.

[0009] In one embodiment, the solvent water includes 900-1000 parts of deionized water.

[0010] The second aspect of the present application discloses a natural gas consumption prediction device, including a gas cylinder provided with an air outlet; a reactor provided with an air inlet, and the air inlet is communicated with the air outlet. The reactor contains the compound hydrate inhibitor as described in any of the above embodiments; a stirrer is arranged in the reactor, and part of the stirrer is located in the reactor for agitating the compound hydrate inhibitor in the reactor; a cooling device, and the reactor is arranged on the cooling device; a pressure sensor is arranged in the reactor for detecting the pressure in the reactor; a temperature sensor is arranged in the reactor for detecting the temperature in the reactor.

[0011] The second aspect of the present application discloses a natural gas consumption prediction device, and the natural gas consumption prediction device further includes a lighting device, and the lighting device can emit light to illuminate the reactor.

[0012] In one embodiment, the natural gas consumption prediction device further includes a monitoring device, and the monitoring device is used to photograph the reactor.

[0013] The third aspect of the present application discloses a method for predicting natural gas consumption. The method for predicting natural gas consumption is applied to the natural gas consumption prediction device as described in any of the above embodiments of the claims. The steps of the method for predicting natural gas consumption are as follows:

[0014] S1: By mass, 900-1000 parts of solvent water, 5-20 parts of polyvinylpyrrolidone, 19-38 parts of monohydric alcohol compounds, and 15-20 parts of soluble chlorides are stirred evenly to obtain the compound hydrate inhibitor, and the compound hydrate inhibitor is placed in the reactor;

[0015] S2: Control the temperature of the cooling device until the temperature in the reactor reaches the preset temperature;

[0016] S3: Open the switch valve of the gas cylinder until the pressure in the reactor reaches the preset pressure, and then close the gas cylinder;

[0017] S4: Control the stirrer to work until the pressure read by the pressure sensor is stable and unchanged, and the reaction ends;

[0018] S5: Input the dosage of polyvinylpyrrolidone, the dosage of monohydric alcohol compounds, the dosage of soluble chlorides, and the data read by the pressure sensor and temperature sensor into the prediction model for prediction to obtain the natural gas consumption.

[0019] In one embodiment, the prediction model is a neural network model.

[0020] In one embodiment, the preset temperature is 4°C to 12°C.

[0021] In one embodiment, the preset pressure is 8 MPa to 12 MPa.

[0022] As can be seen from the above technical solutions, the advantages and positive effects of the present invention are as follows:

[0023] A compound hydrate inhibitor, a natural gas gas consumption prediction device and a prediction method disclosed in the present application. Among them, the compound hydrate inhibitor includes 5 to 20 parts of polyvinylpyrrolidone, and the thermodynamic hydrate inhibitor includes 19 to 38 parts of monohydric alcohol compounds and 15 to 20 parts of soluble chlorides. The hydrate inhibitor of the present invention has a relatively significant inhibitory effect on the nucleation stage of hydrates. After mixing polyvinylpyrrolidone, methanol, and sodium chloride, the inhibitory effect of hydrates can be synergistically improved. By applying this compound hydrate inhibitor to the natural gas gas consumption prediction device, the generation of natural gas hydrates during the pipeline transportation process of natural gas can be further simulated, and the data obtained from the experiments can be used and input into the prediction model. Through the prediction model, it can more accurately predict the natural gas gas consumption for untested formulations or according to the actual natural gas transportation conditions. Description of the Drawings

[0024] Figure 1 It is a step flow chart of the prediction method for natural gas gas consumption in an embodiment of the present application;

[0025] Figure 2 It is a schematic diagram of the natural gas gas consumption prediction device in an embodiment of the present application;

[0026] Figure 3 It is the experimental gas consumption diagram of Example 1;

[0027] Figure 4 It is a comparison diagram of the experimental gas consumption and the gas consumption predicted by the neural network model in Example 1;

[0028] Figure 5 It is the experimental gas consumption diagram of Example 2;

[0029] Figure 6 It is a comparison diagram of the experimental gas consumption and the gas consumption predicted by the neural network model in Example 2;

[0030] Figure 7 It is the experimental gas consumption diagram of Example 3;

[0031] Figure 8 It is a comparison diagram of the experimental gas consumption and the gas consumption predicted by the neural network model in Example 3;

[0032] Figure 9 It is the experimental gas consumption diagram of Example 4;

[0033] Figure 10 It is the experimental gas consumption diagram for Example 5;

[0034] Figure 11 It is the comparison diagram of the experimental gas consumption and the gas consumption predicted by the neural network model for Example 5;

[0035] Figure 12 It is the experimental gas consumption diagram for Example 6;

[0036] Figure 13 It is the comparison diagram of the experimental gas consumption and the gas consumption predicted by the neural network model for Example 6.

[0037] The description of the reference numerals is as follows:

[0038] 100, natural gas gas consumption prediction device;

[0039] 1, gas cylinder; 101, gas outlet;

[0040] 2, reactor; 201, gas inlet;

[0041] 3, stirrer; 4, cooling equipment; 5, pressure sensor; 6, temperature sensor; 7, lighting equipment; 8, monitoring equipment; Detailed implementation manners

[0042] The technical solutions of the present invention will be clearly and completely described below in conjunction with the specific implementation manners. However, those skilled in the art will understand that the following described embodiments are some embodiments of the present invention, rather than all embodiments, and are only used to illustrate the present invention and should not be regarded as limiting the scope of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present invention. For those conditions not specified in the embodiments, they shall be carried out according to the conventional conditions or the conditions recommended by the manufacturer. Those reagents or instruments not specified by the manufacturer can be obtained as conventional products through commercial purchase.

[0043] As used herein, the term: "prepared from..." is synonymous with "comprising". The terms "comprising", "including", "having", "containing" or any other variation thereof used herein are intended to cover non-exclusive inclusion. For example, a composition, step, method, article or device containing the listed elements is not necessarily limited to those elements, but may include other elements not explicitly listed or elements inherent to such composition, step, method, article or device.

[0044] When an equivalent, concentration, or other value or parameter is expressed as a range, a preferred range, or a range defined by a series of upper preferred values and lower preferred values, this should be understood to specifically disclose all ranges formed by any pairing of any range upper limit or preferred value with any range lower limit or preferred value, regardless of whether the range is disclosed individually. For example, when the range "1 to 5" is disclosed, the described range should be interpreted to include ranges "1 to 4", "1 to 3", "1 to 2", "1 to 2 and 4 to 5", "1 to 3 and 5", etc. When a numerical range is described herein, unless otherwise stated, the range is intended to include its end values and all integers and fractions within the range.

[0045] In these examples, unless otherwise specified, the parts and percentages are by mass.

[0046] "Parts by mass" refers to the basic measurement unit representing the mass ratio relationship of multiple components. 1 part can represent any unit mass, such as 1 g or 2.689 g, etc. If we say that the mass parts of component A is a parts and the mass parts of component B is b parts, it means the mass ratio of component A to component B is a:b. Or it means the mass of component A is aK and the mass of component B is bK (K is any number representing a multiple factor). It should not be misunderstood that, different from the number of mass parts, the sum of the mass parts of all components is not limited to 100 parts.

[0047] In the actual process of natural gas gathering and transportation, especially under the combination of lower temperature and higher pressure, natural gas is prone to form hydrates with the water existing in the system. Hydrates usually exist in the form of solids that are basically insoluble in the fluid itself. The hydrate solids (or crystals) cause blockages and / or obstructions in pipelines, transmission pipelines, or other pipes, valves, and / or safety devices and / or other equipment. As the scale of natural gas transportation through pipelines continues to increase, there is an urgent need to solve the problem of hydrate formation and its impacts.

[0048] The first aspect of the present invention provides a compound hydrate inhibitor to inhibit the formation of hydrates during the transportation of natural gas.

[0049] The following specifically introduces this compound hydrate inhibitor.

[0050] The compound hydrate inhibitor includes a kinetic hydrate inhibitor, a thermodynamic hydrate inhibitor, and 900 to 1000 parts of solvent water. Among them, in parts by weight, the kinetic hydrate inhibitor includes 5 to 20 parts of polyvinylpyrrolidone, and the thermodynamic hydrate inhibitor includes 19 to 38 parts of monohydric alcohol compounds and 15 to 20 parts of soluble chlorides.

[0051] The molecular formula structural formula of polyvinylpyrrolidone is as follows, and its molecular weight is from 50,000 to 70,000.

[0052]

[0053] Among them, polyvinylpyrrolidone, as a non-ionic polymer compound, can form a thin film on the crystal surface of the hydrate, hindering the growth and aggregation of hydrate crystals, thereby reducing the number of hydrate crystals and effectively delaying the nucleation and growth rate of hydrates.

[0054] Monohydric alcohol compounds, as thermodynamic hydrate inhibitors, can significantly increase the formation temperature of hydrates when added. According to the thermodynamic principle, methanol inhibits the formation of hydrates at higher temperatures and prolongs the formation time of hydrates.

[0055] Specifically, the monohydric alcohol compounds include any one of methanol, ethanol, and propanol.

[0056] Preferably, the monohydric alcohol compound is methanol. Methanol forms hydrogen bonds with water molecules, changing the structure of water, making it more difficult for hydrates to form. Methanol slows down the nucleation of hydrates by disrupting the hydration of water molecules, and methanol has a low freezing point, which can effectively reduce the formation temperature of hydrates. In this way, methanol can inhibit the formation of hydrates and prolong the formation time of hydrates.

[0057] Furthermore, the thermodynamic hydrate inhibitor also includes soluble chlorides. After soluble chlorides dissolve in water, chloride ions (Cl-) are released. These chloride ions reduce the nucleation and growth rates of hydrates by increasing the ionic strength of the solution. Moreover, soluble chlorides and methanol work together to inhibit the formation of hydrates, ensuring that the formation of hydrates is effectively inhibited within a wide range of temperatures and pressures.

[0058] Specifically, the soluble chlorides include any one of sodium chloride and potassium chloride.

[0059] Preferably, the soluble chloride is sodium chloride. After sodium chloride dissolves in water, it can make hydrates less likely to form by lowering the freezing point of water. Moreover, the increased ionic strength of water after sodium chloride dissolves can disrupt the crystal structure of hydrates and further inhibit their growth and deposition.

[0060] The solvent water includes 900 - 1000 parts of deionized water. It should be noted that deionized water is water treated by ion exchange and contains almost no dissolved minerals, salts, and ions. Using deionized water can avoid the interference of impurities in ordinary water on the effect of the inhibitor and ensure that the function of the inhibitor is not affected by other impurities.

[0061] Such as Figure 2As shown in the figure, the second aspect of the present application provides a natural gas consumption prediction device, including a gas cylinder 1, a reactor 2, a stirrer 3, a cooling device 4, a pressure sensor 5, and a temperature sensor 6.

[0062] The gas cylinder 1 is provided with an air outlet 101, and the reactor 2 is provided with an air inlet 201, and the air inlet 201 is communicated with the air outlet 101. Among them, the gas cylinder 1 can be used to store methane. The air inlet 201 and the air outlet 101 are connected by a pipeline. When the valve of the gas cylinder 1 is opened, methane can flow through the air outlet 101 and the air inlet 201 and flow into the reactor 2. A compound hydrate inhibitor is disposed in the reactor 2. In this way, the gas transported by the gas cylinder 1 can react in the reactor 2.

[0063] Further, in the above natural gas consumption prediction device, the reaction process of natural gas is simulated by using methane. This is because methane (CH4) is the main component of natural gas, usually accounting for more than 80% or even higher in some natural gas fields. Therefore, the chemical properties and physical characteristics of methane largely determine the overall properties of natural gas. By using methane as the simulation gas, the behavior characteristics of natural gas during pipeline transportation, storage, and use can be more accurately reflected. Moreover, methane is a common gas, and its acquisition and storage are relatively easy. Although natural gas may contain other hydrocarbon and non-hydrocarbon gases, the content of these gases is relatively low, and some gases may be toxic or flammable and explosive. Using methane as the simulation gas can avoid these potential safety risks and ensure the safety and reliability of the experimental process.

[0064] It should be noted that when the reactor 2 is reacting, it needs to be in a closed system to avoid gas leakage.

[0065] The stirrer 3 is disposed in the reactor 2. Part of the stirrer 3 is located in the reactor 2 and is used to agitate the compound hydrate inhibitor in the reactor 2. Among them, the stirrer 3 can make the compound hydrate inhibitor in the reactor 2 fully mix and transfer heat with the incoming gas. Moreover, in the natural gas pipeline, natural gas often flows under certain pressure and temperature conditions. The function of the stirrer 3 can simulate the flow process of natural gas, so as to better restore the fluid behavior in the actual natural gas pipeline, and then more accurately test the effect of the compound hydrate inhibitor on the natural gas hydrate inhibitor.

[0066] Specifically, the stirrer 3 can adopt a paddle stirrer 3, a propeller stirrer 3, an impeller stirrer 3, etc. In some other embodiments, the stirrer 3 can adopt a magnetic stir bar.

[0067] In order to further simulate the reaction temperature of the natural gas pipeline flow, the reactor 2 is disposed on the cooling device 4, and the cooling device 4 can be used to control the temperature of the reactor 2.

[0068] Specifically, the cooling device 4 can adopt a water bath device. By adjusting the water bath temperature, a low-temperature environment inside the reactor 2 can be maintained to ensure the actual conditions for the formation of hydrates in the simulated natural gas.

[0069] The pressure sensor 5 is arranged inside the reactor 2 and is used to detect the pressure inside the reactor 2. Since the formation of hydrates usually affects the system pressure, by setting the pressure sensor 5 to monitor the pressure change inside the reactor 2 in real time, the gas consumption during the reaction process can be recorded. At the same time, the initial pressure inside the reactor 2 after the gas cylinder 1 intakes gas can be judged through the pressure sensor 5.

[0070] The temperature sensor 6 is arranged inside the reactor 2 and is used to detect the temperature inside the reactor 2. By setting the temperature sensor 6, the temperature inside the reactor 2 can be monitored in real time, which can further ensure the stability of the reaction conditions and monitor the formation of hydrates.

[0071] In some embodiments, the natural gas consumption prediction device further includes a lighting device 7, and the lighting device 7 can emit light to illuminate the reactor 2. Among them, the lighting device 7 illuminates the reactor 2, enabling the experimenter to more clearly observe the reaction situation inside the reactor 2 and facilitating the experimenter to observe the formation of hydrates inside the reactor 2.

[0072] In some embodiments, the natural gas consumption prediction device further includes a monitoring device 8, and the monitoring device 8 is used to photograph the reactor 2. By photographing and recording the reaction process inside the reactor 2 through the monitoring device 8, for example, the experimenter can observe the formation process of hydrates. Further, the image and video data provided by the monitoring device 8 can be used as a supplement to the experimental data, improving the accuracy and reliability of the data.

[0073] The natural gas consumption prediction device provided by this application accurately simulates the natural gas gathering and transportation environment. Specifically, key factors such as temperature, pressure, hydrate formation and inhibition during the natural gas gathering and transportation process not only provide an experimental basis for the prediction of natural gas consumption, but also the data obtained through experiments with the above prediction device are closer to the real situation. The prediction model established based on these data will have higher accuracy and reliability, which helps to better guide the production and transportation of natural gas.

[0074] The third aspect of the present invention provides a method for predicting natural gas consumption. The method for predicting natural gas consumption is applied to the natural gas consumption prediction device in any of the above embodiments. The steps of the method for predicting natural gas consumption are as follows:

[0075] S1: By mass, 900 - 1000 parts of solvent water, 5 - 20 parts of polyvinylpyrrolidone, 19 - 38 parts of monohydric alcohol compounds, and 15 - 20 parts of soluble chloride salts are stirred evenly to obtain a compound hydrate inhibitor, which is placed in reactor 2.

[0076] Specifically, the solvent water is deionized water, the monohydric alcohol compound can be methanol, and the soluble chloride salt can be sodium chloride. Methanol, polyvinylpyrrolidone, and sodium chloride are placed in deionized water and stirred and mixed thoroughly, and then placed in reactor 2.

[0077] S2: Control the temperature of the cooling device 4 to the preset temperature until the temperature in reactor 2 reaches the preset temperature.

[0078] Among them, a water bath device can be used as the cooling device 4. By controlling the water bath temperature of the water bath device to the preset temperature, heat conduction occurs between the cooling device 4 and reactor 2, enabling reactor 2 to reach the preset temperature, thereby simulating the actual temperature during natural gas pipeline transportation.

[0079] S3: Open the switch valve of gas cylinder 1 until the pressure in reactor 2 reaches the preset pressure, then close gas cylinder 1.

[0080] After reactor 2 drops to the preset temperature, methane is introduced into reactor 2 by opening the switch valve of gas cylinder 1 until the pressure in reactor 2 reaches the preset pressure, then close the switch valve of gas cylinder 1. This can simulate the actual pressure conditions in the natural gas pipeline, which is conducive to more accurately evaluating the effect of the compound hydrate inhibitor in practical applications.

[0081] S4: Control the stirrer 3 to work until the pressure read by the pressure sensor 5 remains stable, then stop the reaction.

[0082] After reactor 2 reaches the preset temperature and preset pressure, by controlling the stirrer 3 to work, the compound hydrate inhibitor in reactor 2 can be fully mixed and heat transferred with methane, and the flow process of natural gas in the pipeline can be simulated, thus better restoring the fluid behavior in the actual natural gas pipeline.

[0083] Among them, the stirrer 3 works throughout the reaction process until the pressure read by the pressure sensor 5 remains stable, which means the reaction has reached the equilibrium state, and the reaction can be stopped at this time.

[0084] S5: Input the dosage of polyvinylpyrrolidone, the dosage of monohydric alcohol compounds, the dosage of soluble chloride salts, and the data read by the pressure sensor 5 and temperature sensor 6 into the prediction model for prediction to obtain the natural gas consumption.

[0085] In some specific embodiments, the prediction model is a neural network model. Among them, the neural network model is a prediction model based on artificial intelligence technology. Through the connection and calculation of multiple nodes, the combination and output of a non-linear model are realized. The neural network can automatically learn from the data and analyze and predict the data.

[0086] Finally, record the data during the above test process. Specifically, the features of the input layer of the neural network are the dosage of polyvinylpyrrolidone, the dosage of monohydric alcohol compounds, the dosage of soluble chloride salts, the pressure read by the pressure sensor 5, and the temperature data read by the temperature sensor 6. Input the data during the test process into the neural network for prediction. Utilize the powerful data processing and prediction capabilities of the neural network, and then the natural gas consumption can be obtained efficiently and accurately.

[0087] The prediction method for natural gas consumption provided by this application can more accurately simulate the natural gas gathering and transportation environment by using the above natural gas consumption prediction device. The prediction model established based on these data will have higher accuracy and reliability. Further, through the above prediction method, the dosage of polyvinylpyrrolidone, the dosage of monohydric alcohol compounds, the dosage of soluble chloride salts, the pressure read by the pressure sensor 5, and the temperature data read by the temperature sensor 6 obtained from the experiment can be used as the input features of the neural network for training, which helps to make full use of the information in the experimental data and improve the accuracy and reliability of the prediction model. Among them, the neural network has powerful learning ability and generalization ability, can extract useful information from a large amount of data, and establish a complex relationship between the input features and the output target, and then can accurately predict the natural gas consumption under different conditions.

[0088] In some specific embodiments, the preset temperature is 4°C to 12°C. Among them, in the actual operation of the natural gas pipeline, especially in the underground or deep-sea environment, it may face relatively low temperature conditions. Setting the preset temperature in the range of 4°C to 12°C can simulate these actual operation conditions and make the prediction results closer to the actual situation.

[0089] In some specific embodiments, the preset pressure is 8 MPa to 12 MPa. Among them, during the pipeline transportation of natural gas, it usually receives a certain pressure. Setting the preset pressure in the range of 8 MPa to 12 MPa can simulate the actual transportation conditions of natural gas in the pipeline and make the prediction results closer to the actual situation.

[0090] Example 1

[0091] Take 1000 parts by mass of deionized water and place it in a reactor. Adjust the water bath device to 2 °C. After the temperature inside the reactor reaches 4 °C, open the switch valve of the gas cylinder and introduce methane gas into the reactor. After the pressure inside the reactor reaches 8 MPa and stabilizes, close the switch valve of the gas cylinder. Control the stirring rate of the stirrer to work at 500 rpm until the pressure read by the pressure sensor remains stable and unchanged, and the reaction ends.

[0092] Example 2

[0093] Take 1000 parts by mass of deionized water and 19 parts of methanol, stir them evenly and place them in a reactor. Adjust the water bath device to 2 °C. After the temperature inside the reactor reaches 4 °C, open the switch valve of the gas cylinder and introduce methane gas into the reactor. After the pressure inside the reactor reaches 8 MPa and stabilizes, close the switch valve of the gas cylinder. Control the stirring rate of the stirrer to work at 500 rpm until the pressure read by the pressure sensor remains stable and unchanged, and the reaction ends.

[0094] Example 3

[0095] Take 1000 parts by mass of deionized water and 15 parts of sodium chloride, stir them evenly and place them in a reactor. Adjust the water bath device to 2 °C. After the temperature inside the reactor reaches 4 °C, open the switch valve of the gas cylinder and introduce methane gas into the reactor. After the pressure inside the reactor reaches 8 MPa and stabilizes, close the switch valve of the gas cylinder. Control the stirring rate of the stirrer to work at 500 rpm until the pressure read by the pressure sensor remains stable and unchanged, and the reaction ends.

[0096] Example 4

[0097] Take 1000 parts by mass of deionized water and 5 parts of polyvinylpyrrolidone, stir them evenly and place them in a reactor. Adjust the water bath device to 2 °C. After the temperature inside the reactor reaches 4 °C, open the switch valve of the gas cylinder and introduce methane gas into the reactor. After the pressure inside the reactor reaches 8 MPa and stabilizes, close the switch valve of the gas cylinder. Control the stirring rate of the stirrer to work at 500 rpm until the pressure read by the pressure sensor remains stable and unchanged, and the reaction ends.

[0098] Example 5

[0099] Take 1000 parts by mass of deionized water, 5 parts of polyvinylpyrrolidone and 15 parts of sodium chloride, stir them evenly and place them in a reactor. Adjust the water bath device to 2 °C. After the temperature inside the reactor reaches 4 °C, open the switch valve of the gas cylinder and introduce methane gas into the reactor. After the pressure inside the reactor reaches 8 MPa and stabilizes, close the switch valve of the gas cylinder. Control the stirring rate of the stirrer to work at 500 rpm until the pressure read by the pressure sensor remains stable and unchanged, and the reaction ends.

[0100] Example 6

[0101] By mass, 1000 parts of deionized water, 5 parts of polyvinylpyrrolidone, 19 parts of methanol, and 15 parts of sodium chloride were stirred evenly and placed in a reactor. The water bath device was adjusted to 2 °C so that the temperature inside the reactor reached 4 °C. Then, the switch valve of the gas cylinder was opened to introduce methane gas into the reactor. After the pressure inside the reactor reached 8 MPa and stabilized, the switch valve of the gas cylinder was closed. The stirring rate of the stirrer was controlled to work at 500 rpm until the pressure read by the pressure sensor remained stable and unchanged, and the reaction ended.

[0102] Example 7

[0103] By mass, 900 parts of deionized water, 12 parts of polyvinylpyrrolidone, 28 parts of methanol, and 17 parts of sodium chloride were stirred evenly and placed in a reactor. The water bath device was adjusted to 6 °C so that the temperature inside the reactor reached 8 °C. Then, the switch valve of the gas cylinder was opened to introduce methane gas into the reactor. After the pressure inside the reactor reached 10 MPa and stabilized, the switch valve of the gas cylinder was closed. The stirring rate of the stirrer was controlled to work at 500 rpm until the pressure read by the pressure sensor remained stable and unchanged, and the reaction ended.

[0104] Example 8

[0105] By mass, 950 parts of deionized water, 20 parts of polyvinylpyrrolidone, 38 parts of methanol, and 20 parts of sodium chloride were stirred evenly and placed in a reactor. The water bath device was adjusted to 10 °C so that the temperature inside the reactor reached 12 °C. Then, the switch valve of the gas cylinder was opened to introduce methane gas into the reactor. After the pressure inside the reactor reached 12 MPa and stabilized, the switch valve of the gas cylinder was closed. The stirring rate of the stirrer was controlled to work at 500 rpm until the pressure read by the pressure sensor remained stable and unchanged, and the reaction ended.

[0106] The usage amounts of polyvinylpyrrolidone, the usage amounts of monohydric alcohol compounds, the usage amounts of sodium chloride, and the data read by the pressure sensor and temperature sensor in each of the above examples were input into a neural network model for prediction to obtain the natural gas consumption.

[0107] Example 9

[0108] In parts by mass, 1000 parts of deionized water, 5 parts of polyvinylpyrrolidone, 19 parts of ethanol, and 15 parts of potassium chloride are stirred evenly and placed in a reactor. The water bath device is adjusted to 2°C. After the temperature in the reactor reaches 4°C, the switch valve of the gas cylinder is opened to introduce methane gas into the reactor. After the pressure inside the reactor reaches 8 MPa and stabilizes, the switch valve of the gas cylinder is closed. The stirring rate of the stirrer is controlled to work at 500 rpm until the pressure read by the pressure sensor remains stable and unchanged, and the reaction ends.

[0109] The dosages of polyvinylpyrrolidone, the dosage of monohydric alcohol compounds, the dosage of sodium chloride, and the data read by the pressure sensor and temperature sensor in the above respective embodiments are input into the neural network model for prediction to obtain the natural gas consumption.

[0110] Among them, according to the following general formula, the gas consumption can be calculated.

[0111] Vn = n0 - n1 = 1 / R(P0V0 / Z0T0 - P1V1 / Z1T1)

[0112] In the formula: P0 and T0 are the initial pressure and initial temperature in the reaction kettle when the air intake is completed, with the units of MPa and K respectively; V is the effective gas volume in the reaction kettle (ignoring the volume change during the reaction process), with the unit of ml; R is the universal gas constant, taking R = 8.314 J / (mol·K), and the compression factor Z is calculated by the P - R equation of state. The exponents 0 and 1 represent the initial moment at t = 0 and the moment 1 respectively.

[0113] Furthermore, for the experimental gas consumption of Example 1, please refer to Appendix Figure 3 , and for the comparison chart of the experimental gas consumption of Example 1 and the gas consumption predicted by the neural network model, please refer to Appendix Figure 4 .

[0114] For the experimental gas consumption of Example 2, please refer to Appendix Figure 5 , and for the comparison chart of the experimental gas consumption of Example 2 and the gas consumption predicted by the neural network model, please refer to Appendix Figure 6 .

[0115] For the experimental gas consumption of Example 3, please refer to Appendix Figure 7 , and for the comparison chart of the experimental gas consumption of Example 3 and the gas consumption predicted by the neural network model, please refer to Appendix Figure 8 .

[0116] For the experimental gas consumption of Example 4, please refer to Appendix Figure 9

[0117] For the experimental gas consumption of Example 5, please refer to Appendix Figure 10 , and for the comparison chart of the experimental gas consumption of Example 5 and the gas consumption predicted by the neural network model, please refer to Appendix Figure 11 .

[0118] For the experimental gas consumption in Example 6, please refer to the appendix Figure 12 , and for the comparison chart of the experimental gas consumption in Example 5 and the gas consumption predicted by the neural network model, please refer to the appendix Figure 13 .

[0120] From the comparison charts of the experimental gas consumption and the gas consumption predicted by the neural network model in each of the above examples, it can be seen that by using a compound hydrate inhibitor composed of polyvinylpyridine, sodium chloride, methanol, and deionized water, and using the prediction method of natural gas consumption provided in this application, a gas consumption prediction result with a high degree of fitting with the experimental gas consumption can be obtained, which can prove that the prediction method of natural gas consumption provided in this application has relatively accurate results.

[0121] Furthermore, based on the data recorded in the above test process and the data output by the neural network model, the gas consumption and induction time of methane hydrate are shown in Table 1 and Table 2 below.

[0122] Table 1 Gas Consumption and Induction Time of Methane Hydrate (1)

[0123]

[0124]

[0125] Table 2 Gas Consumption and Induction Time of Methane Hydrate (2)

[0126]

[0127] It can be seen from Table 1 and Table 2 that:

[0128] 1. By comparing Example 1 and Example 2, it can be seen that with the addition of methanol, the induction time of the hydrate is extended by 760%, and the gas consumption is reduced by 2.07%. However, the required dosage of the thermodynamic hydrate inhibitor is relatively large, resulting in increased production costs and environmental pollution.

[0129] 2. By comparing Example 1 and Example 3, it can be seen that with the addition of sodium chloride, the induction time is extended by 819%, and the gas consumption is reduced by 14.9%. However, the required dosage of the thermodynamic hydrate inhibitor is relatively large, resulting in increased production costs and accelerating the pipeline corrosion rate.

[0130] 3. By comparing Example 1 and Example 4, it can be seen that with the addition of polyvinylpyrrolidone, the induction time is extended by 359.6%, and the gas consumption is increased by 28.7%. It can be seen that the inhibition effect of a single kinetic hydrate inhibitor is not as good as that of a thermodynamic hydrate inhibitor, and the cost is relatively high.

[0131] 4. From the comparison among Example 1, Example 5 and Example 6, it can be seen that when sodium chloride and polyvinylpyrrolidone are used in combination, the induction time of methane hydrate can be extended by 280% - 754%, and the methane gas consumption increases by 35.7% - 40.5%. However, the effect of using sodium chloride and polyvinylpyrrolidone in combination is not as good as that of using the combination of sodium chloride, polyvinylpyrrolidone and methanol.

[0132] 5. From the comparison among Example 1, Example 6 to Example 8, it can be seen that in Example 1 where only deionized water is used, the formation of hydrate in the system is relatively obvious, resulting in a large change in natural gas consumption. In Examples 6 to 8, by compounding polyvinylpyrrolidone, methanol (monohydric alcohol compounds) and chloride salts (such as sodium chloride), the compound hydrate inhibitor formed can synergistically delay the nucleation and growth of hydrates and reduce the formation of hydrates.

[0133] In addition, combining Figure 4 , Figure 6 , Figure 8 , Figure 11 and Figure 13 , by comparing the fitting situation between the experimental data and the neural network prediction model, it can be seen that when the compound hydrate inhibitor is used, the degree of coincidence between the experimental gas consumption and the predicted value is significantly improved, which proves that the compound inhibitor has significant technical effects in simulating the natural gas gathering and transportation environment, controlling the formation of hydrates and predicting the natural gas consumption. Compared with other examples here, within the ratio range of "900 - 1000 parts of solvent water, 5 - 20 parts of polyvinylpyrrolidone, 19 - 38 parts of monohydric alcohol compounds, 15 - 20 parts of soluble chloride salts", the gas consumption is less and the induction time is longer, and better inhibition effects can be achieved.

[0134] It can be understood that for those of ordinary skill in the art, equivalent substitutions or changes can be made according to the technical solutions and inventive concepts of the present invention, and all such changes or substitutions should fall within the protection scope of the present invention.

Claims

1. A composite hydrate inhibitor, characterized in that: The composite hydrate inhibitor comprises a kinetic hydrate inhibitor, a thermodynamic hydrate inhibitor and 900 to 1000 parts of solvent water, wherein, by weight, the kinetic hydrate inhibitor comprises 5 to 20 parts of polyvinyl pyrrolidone, and the thermodynamic hydrate inhibitor comprises 19 to 38 parts of a monohydric alcohol compound and 15 to 20 parts of a soluble chloride salt.

2. The composite hydrate inhibitor according to claim 1, characterized in that: The monohydric alcohol compound includes any one of methanol, ethanol and propanol.

3. The composite hydrate inhibitor according to claim 1, characterized in that: The soluble chloride salt includes any one of sodium chloride and potassium chloride.

4. The composite hydrate inhibitor according to claim 1, characterized in that: The solvent water includes 900 to 1000 parts of deionized water.

5. A natural gas consumption prediction device, characterized in that: include: A gas cylinder having a gas outlet; A reactor, provided with an air inlet, the air inlet being connected to the air outlet, the reactor containing the composite hydrate inhibitor according to any one of claims 1 to 4; A stirrer is disposed in the reactor, wherein a portion of the stirrer is located in the reactor and is used to stir the composite hydrate inhibitor in the reactor; A cooling device, wherein the reactor is arranged on the cooling device; A pressure sensor is disposed in the reactor and is used to detect the pressure in the reactor; The temperature sensor is arranged in the reactor and is used to detect the temperature in the reactor.

6. The natural gas consumption prediction device according to claim 5, characterized in that: The natural gas consumption prediction device further comprises a lighting device, which is capable of emitting light to illuminate the reactor.

7. The natural gas consumption prediction device according to claim 5, characterized in that: The natural gas consumption prediction device also includes a monitoring device, and the monitoring device is used to photograph the reactor.

8. A method for predicting natural gas consumption, characterized in that: The natural gas consumption prediction method is applied to the natural gas consumption prediction device according to any one of claims 5 to 7, and the natural gas consumption prediction method has the following steps: By weight, 900 to 1000 parts of solvent water, 5 to 20 parts of polyvinyl pyrrolidone, 19 to 38 parts of monohydric alcohol compounds, and 15 to 20 parts of soluble chloride salts are uniformly stirred to obtain the composite hydrate inhibitor, and the composite hydrate inhibitor is placed in a reactor; Controlling the temperature of the cooling device until the temperature in the reactor reaches the preset temperature; Opening the on-off valve of the gas cylinder until the pressure in the reactor reaches a preset pressure, and then closing the gas cylinder; Controlling the stirrer to work until the pressure read by the pressure sensor is stable and the reaction is finished; The amount of polyvinyl pyrrolidone, the amount of monohydric alcohol compounds, the amount of soluble chloride salts, and the data read by the pressure sensor and the temperature sensor are input into the prediction model for prediction to obtain the natural gas consumption.

9. The method for predicting natural gas consumption according to claim 8, characterized in that: The prediction model is a neural network model.

10. The method for predicting natural gas consumption according to claim 8, characterized in that: The preset temperature is 4°C to 12°C; The preset pressure is 8MPa to 12MPa.

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