A basalt carbon mineralization efficiency online observation method, device, equipment and medium

Abstract

The application discloses a basalt carbon mineralization efficiency online observation method, device, equipment and medium, and comprises the following steps: pretreating a basalt core piece; preparing a sealed fissure microfluid model; fixing the sealed fissure microfluid model in a high-pressure bin, and pressurizing the sealed fissure microfluid model based on a high-pressure plunger pump until the target pressure is reached; injecting supercritical carbon dioxide into the sealed fissure microfluid model at a preset flow rate, and keeping the sealed fissure microfluid model at a preset reaction temperature; collecting images of the sealed fissure microfluid model, and acquiring real-time image data of the sealed fissure microfluid model; and determining the liquid phase saturation, pore dynamic evolution, mineral dissolution and precipitation characteristics in the basalt core piece based on the real-time image data. The application belongs to the field of basalt carbon mineralization observation. The application can dynamically monitor the basalt carbon mineralization process.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of basalt carbon mineralization observation, and in particular to a basalt carbon mineralization efficiency online observation method, device, equipment and medium. BACKGROUND

[0002] At present, the experimental methods for basalt carbon mineralization efficiency include reaction kettle batch reaction and displacement system flow / permeation experiment. The batch reaction experiment method is mainly used to study the long-term CO2 mineralization reaction mechanism, and to determine the possible carbonation products and reaction degree. The batch reaction experiment is carried out under static conditions, and the dynamic changes in the reaction process, such as CO2 dissolution, mineral dissolution and precipitation, cannot be observed in real time, and since the experiment is carried out in a closed system, continuous monitoring and data collection during the reaction process cannot be realized.

[0003] The displacement system flow experiment can simulate the actual geological conditions, but the local area changes in the reaction process are still difficult to monitor in real time. During the experiment, it is difficult to collect real-time data of the specific reaction details and fluid distribution inside the core. Therefore, it is urgent to propose a method that can dynamically monitor the basalt carbon mineralization process. SUMMARY

[0004] The present application provides a basalt carbon mineralization efficiency online observation method, device, equipment and medium, which solves the technical problem of difficulty in dynamically monitoring the basalt carbon mineralization process in the prior art, and achieves the technical effect of being able to dynamically monitor the basalt carbon mineralization process.

[0005] In a first aspect, the present application provides a basalt carbon mineralization efficiency online observation method, which comprises:

[0006] Pretreating the basalt chip and pre-characterizing the mineral composition and element composition of the basalt chip to obtain a first characterization result;

[0007] Based on the basalt chip, glass slide, polydimethylsiloxane and flow cell, a sealed fracture microfluid model is prepared;

[0008] The sealed fracture microfluid model is fixed in a high-pressure chamber, and the sealed fracture microfluid model is pressurized based on a high-pressure plunger pump until the target pressure is reached, wherein the high-pressure plunger pump contains salt water and a fluorescent probe;

[0009] Supercritical carbon dioxide is injected into the sealed fracture microfluid model at a preset flow rate, and the sealed fracture microfluid model is maintained at a preset reaction temperature;

[0010] Based on a high-temperature and high-pressure micro-visualization displacement system, image data of the sealed fracture microfluid model is collected to obtain real-time image data of the sealed fracture microfluid model;

[0011] determine liquid saturation, pore dynamic evolution, mineral dissolution and precipitation characteristics in the basalt chip based on the real-time image data.

[0012] Further, the method for determining liquid saturation, pore dynamic evolution, mineral dissolution and precipitation characteristics in the basalt chip based on the real-time image data comprises:

[0013] convert the color image of the sealed fracture microfluid model into a gray image;

[0014] distinguish different phases in the gray image based on a threshold segmentation method, wherein the phases include a carbon dioxide phase and a pore water phase;

[0015] determine the boundary line between the phases and the interface area of each phase based on an edge detection method;

[0016] determine the liquid saturation, pore dynamic evolution, mineral dissolution and precipitation characteristics according to the ratio of the pixels of the pore water phase to the pixels of all pores in the gray image.

[0017] Further, after the reaction is completed, the method further comprises:

[0018] cut the sealed fracture microfluid model, and characterize the mineral composition and element composition of the basalt chip to obtain a second characterization result;

[0019] analyze the element migration characteristics of the basalt chip after the reaction based on the first characterization result and the second characterization result, wherein the elements include Ca, Mg, C and Si.

[0020] Further, the basalt chip is pretreated, comprising:

[0021] drill the basalt sample to obtain a basalt cylinder, wherein the cylinder length of the basalt cylinder is 40mm and the diameter is 20mm;

[0022] cut the basalt cylinder and clean it with acetone to obtain a basalt cube, wherein the length, width and height of the basalt cube are all 15mm;

[0023] polish the basalt cube and clean it with acetone to obtain the basalt chip, wherein the length and width of the basalt chip are both 12mm and the height is 0.2mm.

[0024] Further, the mineral composition and element composition of the basalt chip are pre-characterized, comprising:

[0025] determine the mineral types of the basalt chip based on a polarizing microscope;

[0026] obtain the topographic features of the basalt chip based on a scanning electron microscope;

[0027] Based on the energy spectrum analyzer, the types and contents of elements of the basalt chip are obtained.

[0028] Further, comprising:

[0029] The pressure difference between the sealed fissure microfluid model and the high-pressure chamber is always less than or equal to 0.2 MPa.

[0030] Further, based on the basalt chip, the glass slide, the polydimethylsiloxane and the flow cell, a sealed fissure microfluid model is prepared, comprising:

[0031] The polydimethylsiloxane is spin-coated on the glass slide, and the glass slide is bonded to the flow cell;

[0032] The basalt chip is embedded in the glass slide to obtain the sealed fissure microfluid model.

[0033] In the second aspect, the present application provides a basalt carbon mineralization efficiency online observation device, which comprises:

[0034] A pretreatment module is configured to pretreat the basalt chip and pre-characterize the mineral composition and element composition of the basalt chip to obtain a first characterization result.

[0035] A preparation module is configured to prepare a sealed fissure microfluid model based on the basalt chip, the glass slide, the polydimethylsiloxane and the flow cell.

[0036] A pressurization module is configured to fix the sealed fissure microfluid model in the high-pressure chamber and pressurize the sealed fissure microfluid model based on a high-pressure plunger pump until a target pressure is reached, wherein the high-pressure plunger pump contains salt water and a fluorescent probe.

[0037] A reaction module is configured to inject supercritical carbon dioxide into the sealed fissure microfluid model at a preset flow rate and keep the sealed fissure microfluid model at a preset reaction temperature.

[0038] An image acquisition module is configured to acquire images of the sealed fissure microfluid model based on a high-temperature and high-pressure micro-visualization displacement system to obtain real-time image data of the basalt chip in the sealed fissure microfluid model.

[0039] An analysis module is configured to determine the liquid saturation, pore dynamic evolution, mineral dissolution and precipitation characteristics in the basalt chip based on the real-time image data.

[0040] In the third aspect, the present application provides an electronic device, comprising:

[0041] A processor;

[0042] A memory for storing processor-executable instructions;

[0043] The processor is configured to perform to realize the basalt carbon mineralization efficiency online observation method provided in the first aspect.

[0044] In a fourth aspect, the present application provides a non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by the processor of the electronic device, the electronic device can execute the basalt carbon mineralization efficiency online observation method provided in the first aspect.

[0045] The one or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0046] In the prior art, batch reaction experiments cannot realize continuous monitoring and data collection during the reaction process, while the present application realizes direct observation of changes in pore surfaces by preparing basalt chips and constructing a visualization model. The visualization model allows real-time observation of dynamic changes such as CO2 dissolution, mineral dissolution and precipitation during the experiment, thereby providing continuous data collection capability. By using a high-temperature and high-pressure micro-visualization displacement system, the present application can dynamically monitor the basalt carbon mineralization process under simulated actual geological conditions.

[0047] In the prior art, although flow experiments can simulate actual geological conditions, there are difficulties in real-time data collection of specific reaction details and fluid distribution inside the core. The present application embeds basalt chips into a sealed fracture microfluidic model through microfluidic model packaging technology, so that changes in the local area can be monitored in real time, improving the accuracy of data collection.

[0048] By using a high-pressure piston pump and a high-temperature and high-pressure micro-visualization displacement system, the present application can accurately control the internal and external pressures, simulated temperatures and flow rates of scCO2 in the experiment, which provides more accurate and controllable conditions for the experiment, thereby improving the reliability and repeatability of the experimental results.

[0049] By using the CIAS-2007 system to quantitatively characterize the basalt chip images, the present application can obtain key parameters such as liquid saturation, pore dynamic evolution, mineral dissolution and precipitation characteristics in the basalt chip based on the gray-scale threshold segmentation method and edge detection technology.

[0050] After the reaction is completed, the present application can analyze the structure, element and mineral phase distribution characteristics of the microfluidic chip through SEM-BSE and EDS characterization technology. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort.

[0052] Figure 1 A flowchart of a basalt carbon mineralization efficiency online observation method provided by the present application is shown. DETAILED DESCRIPTION

[0053] The embodiments of the present application provide a basalt carbon mineralization efficiency online observation method, which solves the technical problem of difficulty in dynamically monitoring the basalt carbon mineralization process in the prior art.

[0054] The technical solutions of the present application are as follows to solve the above technical problems:

[0055] A basalt carbon mineralization efficiency online observation method, the method comprising: pretreating a basalt chip and pre-characterizing the mineral composition and element composition of the basalt chip to obtain a first characterization result; preparing a sealed fracture microfluid model based on the basalt chip, a glass slide, polydimethylsiloxane and a flow cell; fixing the sealed fracture microfluid model in a high-pressure chamber and pressurizing the sealed fracture microfluid model based on a high-pressure plunger pump until the target pressure is reached, wherein the high-pressure plunger pump contains salt water and a fluorescent probe; injecting supercritical carbon dioxide into the sealed fracture microfluid model at a preset flow rate and keeping the sealed fracture microfluid model at a preset reaction temperature; acquiring real-time image data of the sealed fracture microfluid model based on a high-temperature and high-pressure micro-visualization displacement system; and determining the liquid saturation, pore dynamic evolution, mineral dissolution and precipitation characteristics in the basalt chip based on the real-time image data.

[0056] In order to better understand the above technical solutions, the above technical solutions will be described in detail in combination with the drawings in the specification and specific embodiments.

[0057] Firstly, the term "and / or" appearing in this paper is only to describe the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the three cases of A alone, A and B together, and B alone. In addition, the character " / " in this paper generally represents an "or" relationship between the front and rear associated objects.

[0058] The present application provides a basalt carbon mineralization efficiency online observation method as shown in Figure 1 The basalt carbon mineralization efficiency online observation method comprises steps S11-S16.

[0059] The basalt chip is pretreated, and the mineral composition and element composition of the basalt chip are pre-characterized to obtain a first characterization result.

[0060] Basalt is a basic volcanic rock, which is a kind of extrusive rock formed by rapid cooling and solidification of magma on the surface. The main mineral components of basalt include plagioclase and pyroxene, containing a small amount of olivine or hornblende, and basalt usually presents black, dark gray or green color.

[0061] The basalt chip is pretreated, including: drilling the basalt sample to obtain a basalt cylinder, wherein the cylinder length of the basalt cylinder is 40 mm, and the diameter is 20 mm; cutting the basalt cylinder to obtain a basalt cube, wherein the length, width and height of the basalt cube are all 15 mm; polishing the basalt cube to obtain the basalt chip, wherein the length and width of the basalt chip are both 12 mm, and the height is 0.2 mm. In addition, in order to avoid organic matter pollution, petroleum ether can also be used to clean the basalt chip.

[0062] The mineral composition and element composition of the basalt chip are pre-characterized before the reaction occurs, specifically including: determining the mineral types of the basalt chip based on a polarizing microscope; obtaining the morphological characteristics of the basalt chip based on a scanning electron microscope; and obtaining the types of elements and the contents of each element of the basalt chip based on an energy spectrometer.

[0063] Step S12, based on the basalt chip, the glass slide, the polydimethylsiloxane and the flow cell, a sealed fracture microfluid model is prepared.

[0064] In order to close and seal the chamber, a sealed fracture microfluid model with good sealing performance can be prepared by spin coating polydimethylsiloxane on the glass slide and bonding the glass slide to the flow cell. In the case that the top and bottom surfaces of the basalt chip are sealed by PDMS, the fluid can only pass through the pores of the basalt chip. The basalt chip is embedded in the glass slide to obtain a sealed fracture microfluid model. The sealed fracture microfluid model can be visualized through the glass slide and capture the changes of the pore surface during the experiment.

[0065] In addition, CO2 laser drilling can also be used at the two ends of the fracture of the sealed fracture microfluid model.

[0066] Step S13, the sealed fracture microfluid model is fixed in a high-pressure chamber, and the sealed fracture microfluid model is pressurized based on a high-pressure plunger pump until the target pressure is reached, wherein the high-pressure plunger pump contains salt water and a fluorescent probe.

[0067] NaCl and deionized water to be 2.5M (~12%) brine. A pH-dependent dye, pHrodo Red (Life Technologies, Carlsbad, CA) is added to the brine as a fluorescent probe. The prepared brine is injected into the basalt chip of the sealed fracture microfluidic model at a preset flow rate (e.g., 100 μL / min) until the pores are saturated with brine.

[0068] The prepared brine is injected into the basalt chip of the sealed fracture microfluidic model at a preset flow rate (e.g., 100 μL / min) until the pores are saturated with brine.

[0069] Then the pressure in the sealed fracture microfluidic model is slowly increased by the high-pressure piston pump until the target pressure is reached. To ensure that the basalt chip is not fractured, the pressure difference in the sealed fracture microfluidic model is always less than or equal to 0.2 MPa.

[0070] Step S14, supercritical carbon dioxide is injected into the sealed fracture microfluidic model at a preset flow rate, and the sealed fracture microfluidic model is kept at a preset reaction temperature.

[0071] Supercritical carbon dioxide is injected into the sealed fracture microfluidic model at a preset flow rate. After the injection is completed, the inlet and outlet valves are closed to make the sealed fracture microfluidic model an airtight environment, and the preset reaction temperature is maintained, and the basalt chip is carbonated in the airtight environment.

[0072] During this process, the images of the sealed fracture microfluidic model can be continuously and real-time collected based on the high-temperature and high-pressure micro-visualization displacement system.

[0073] Step S15, based on the high-temperature and high-pressure micro-visualization displacement system, the sealed fracture microfluidic model is imaged to obtain real-time image data of the sealed fracture microfluidic model.

[0074] The high-temperature and high-pressure micro-visualization displacement system is mainly used to simulate the behavior of fluid flow under formation conditions (such as oil reservoir or geological carbon storage environment). The high-temperature and high-pressure micro-visualization displacement system can reproduce the high-temperature and high-pressure conditions deep underground in the laboratory, and allows researchers to observe and measure the flow characteristics of different fluids (such as oil, water, gas or carbon dioxide) in rock pores.

[0075] The real-time image data refers to the images of the sealed fracture microfluidic model during the carbonation reaction process.

[0076] Step S16, based on real-time image data, determine the liquid saturation degree in the basalt chip, pore dynamic evolution, mineral dissolution and precipitation characteristics.

[0077] Specifically, a thin slice pore feature color image analysis system can be used to quantitatively characterize the collected images, including: converting the color image of the sealed fracture microfluidic model into a gray scale image; based on the threshold segmentation method, different phases in the gray scale image are distinguished, wherein the phases include carbon dioxide phase and pore water phase; based on the edge detection method, the boundary line between the phases and the interface area of each phase are determined; according to the ratio of the pixels of the pore water phase to the pixels of all pores in the gray scale image, the liquid saturation degree, pore dynamic evolution, mineral dissolution and precipitation characteristics are determined.

[0078] In image segmentation, mineral particles, pores, residual water and other features can be extracted and segmented, and the features are respectively processed by mathematical morphology to remove targets, fill holes and smooth target edges to extract mineral particles, pores, residual water and other features; after the pore segmentation, the pore parameters, pore parameters and residual water saturation are calculated.

[0079] After the reaction is completed, the method further includes: cutting the sealed fracture microfluidic model, and characterizing the mineral composition and element composition of the basalt chip to obtain a second characterization result; based on the first characterization result and the second characterization result, analyzing the element migration characteristics of the basalt chip after the reaction, wherein the elements include Ca, Mg, C and Si.

[0080] After the reaction is completed, the sealed fracture microfluidic model is cut open, the basalt chip is transferred to a glass slide, and the basalt chip is characterized again in the manner of step S11. Specifically, the key elements Ca, Mg, C and Si of the labeled dissolution and mineralization reaction area are analyzed to obtain a composite element distribution map, and the element migration characteristics in the chemical reaction are analyzed.

[0081] In addition, target points on the basalt chip can also be determined, and element composition analysis of the target points can be performed; the mineral conversion direction on the basalt chip is determined, and linear scanning is performed in this direction to intuitively analyze the element mass fraction change characteristics in the linear direction.

[0082] The following is a specific example provided by the present application according to steps S11-S16, including steps 1-9:

[0083] Step 1 (Porous basalt sample collection and screening): According to the core observation and description of the coring well, multiple overflow-eruption rhythms developed longitudinally in the basalt, with overflow basalt as the main part. First, the core section with developed pores was screened out, and according to the research purpose and experimental requirements, four cylinders with a diameter of 20 mm were drilled, with a length of 40 mm. The detailed sample information is shown in Table 1. Then, the cylinder samples were cut into small cubes with a size of 15x15x15mm. In order to avoid organic pollution, the core samples were cleaned with petroleum ether.

[0084] Table 1

[0085]

[0086] Step 2 (Basalt microchip production): The cubic rock samples were polished to the required thickness (~0.2mm) and cut to a size of 12x12mm. The impurities attached to the chip were cleaned with acetone (analytical pure).

[0087] Step 3: The mineral and elemental composition of the basalt sample before reaction was pre-characterized using a polarizing microscope, a field emission environmental scanning electron microscope (SEM, Quanta250FEG) and an energy spectrometer (EDS, Oxford INCAx-max20).

[0088] Step 4 (Microfluidic model packaging): In order to close and seal the chamber, polydimethylsiloxane (PDMS) was spin-coated on the glass slide and bonded to the flow cell. With the top and bottom surfaces of the sample sealed by PDMS, the fluid can only pass through the pores. The basalt chip was embedded in the central flow chamber to produce a sealed fracture microfluidic model. The microfluidic device allows visualization through the glass slide and captures changes in pore surface during the experiment. The CO2 laser was used to punch holes at both ends of the fracture, and finally a basalt pore micro-model was produced.

[0089] Step 5 (Preparation of residual water in pores): According to the actual formation water salinity of basalt, NaCl (analytical pure) and deionized water were used to configure 2.5M (~12%) salt water. A pH-dependent dye pHrodo Red (Red AM Intracellular pH Index ator, Life Technologies, Carlsbad, CA) was added as a fluorescent probe in the salt water. Pure CO2 and prepared salt water were injected into two independent high-pressure piston pumps (Teledyne ISCO) respectively.

[0090] ​Step 6 (visualization model): The microfracture model is fixed in the high-pressure chamber by a clamp, and the internal pipeline and micro-pressure sensor are connected. The prepared salt water is injected into the basalt chip at a rate of 100 μL / min until the pore is saturated with salt water. Then, the internal and external pressures of the model are simultaneously and slowly increased to 20 MPa by the high-pressure plunger pump, and the internal and external pressure difference of the model is always not more than 0.2 MPa during the whole process, so as to ensure that the basalt chip will not be fractured.

[0091] Step 7 (reaction environment construction of residual water in basalt pore): The high-temperature and high-pressure micro-visualization displacement system is used to inject scCO2 into the basalt chip micro-model at two different flow rates. Sample 1 and 3 are set to a small flow rate, and Sample 2 and 4 are set to a large flow rate. After displacement is completed, the inlet and outlet valves are immediately closed, and the residual water reaction environment in the pore is prepared, and the temperature of the reaction system is set to 85℃. According to the experimental process, the frame number of the high-speed camera and the microscope is adjusted between 0.2 fps and 200 fps.

[0092] Step 8: Quantitative analysis of pore residual water distribution, mineral surface dissolution and pore structure characteristics, the thin section pore characteristic color image analysis system (CIAS-2007) is used to quantitatively characterize the full-size images of the basalt chip collected by the system, the two-phase interface of CO2 and pore water is distinguished based on the optimized gray-scale threshold segmentation method and edge detection technology, and the characteristic parameters such as liquid saturation in the basalt chip, pore dynamic evolution, mineral dissolution and precipitation characteristics are obtained.

[0093] Step 9 (in-situ micro-area element and mineral composition analysis): After the reaction is completed, the microfluidic chip is cut open. Then, the sample is transferred to a glass slide to ensure the integrity of the sample, and SEM-BSE and EDS characterization after the reaction is performed. The marked points and regions of the basalt chip are observed and analyzed in high resolution, and the composition of the structure and points, lines and surfaces is characterized, and the structure, element and mineral phase distribution characteristics are obtained. In addition, the backscattered electron (BSE) detector imaging with a beam current of 30 nA is used to obtain the composition image of the secondary mineral.

[0094] In summary, the present application provides an online observation method for basalt carbon mineralization efficiency. In the prior art, batch reaction experiments cannot realize continuous monitoring and data collection during the reaction process, while the present application realizes direct observation of the change of the pore surface by preparing a basalt chip and constructing a visualization model. The visualization model allows real-time observation of the dynamic changes of CO2 dissolution, mineral dissolution and precipitation during the experiment, thereby providing continuous data collection capability. By using the high-temperature and high-pressure micro-visualization displacement system, the present application can dynamically monitor the basalt carbon mineralization process under simulated actual geological conditions.

[0095] The prior art, although the flow experiment can simulate the actual geological conditions, but for the specific reaction details and real-time data acquisition of fluid distribution inside the core exist difficulties. The basalt chip is embedded and constitutes a sealed fracture microfluidic model through the microfluidic model packaging technology, so that the changes in the local area can be monitored in real time, and the accuracy of data acquisition is improved.

[0096] The present application can accurately control the internal and external pressure and simulate the temperature in the experiment by using a high-pressure plunger pump and a high-temperature and high-pressure micro-visualization displacement system, and the flow rate of scCO2, which provides more accurate and controllable conditions for the experiment, thereby improving the reliability and repeatability of the experimental results.

[0097] By using the CIAS-2007 system to quantitatively characterize the basalt chip image, the present application can obtain key parameters such as liquid saturation, pore dynamic evolution, mineral dissolution and precipitation characteristics based on the gray-scale threshold segmentation method and edge detection technology.

[0098] After the reaction is completed, the structure, element and mineral phase distribution characteristics of the microfluidic chip can be analyzed by SEM-BSE and EDS characterization technology.

[0099] Based on the same inventive concept, the present application provides a basalt carbon mineralization efficiency online observation device, which comprises:

[0100] A pretreatment module is used for pretreating the basalt chip and pre-characterizing the mineral composition and element composition of the basalt chip to obtain a first characterization result;

[0101] A preparation module is used for preparing a sealed fracture microfluidic model based on the basalt chip, the glass slide, the polydimethylsiloxane and the flow cell;

[0102] A pressurization module is used for fixing the sealed fracture microfluidic model in a high-pressure bin and pressurizing the sealed fracture microfluidic model based on a high-pressure plunger pump until the target pressure is reached, wherein the high-pressure plunger pump contains salt water and a fluorescent probe;

[0103] A reaction module is used for injecting supercritical carbon dioxide into the sealed fracture microfluidic model at a preset flow rate and keeping the sealed fracture microfluidic model at a preset reaction temperature;

[0104] An image acquisition module is used for acquiring real-time image data of the sealed fracture microfluidic model based on a high-temperature and high-pressure micro-visualization displacement system;

[0105] An analysis module is used for determining the liquid saturation, pore dynamic evolution, mineral dissolution and precipitation characteristics in the basalt chip based on the real-time image data.

[0106] Based on the same inventive concept, the present application also provides an electronic device comprising:

[0107] a processor;

[0108] a memory for storing processor-executable instructions;

[0109] The processor is configured to perform to implement the basalt carbon mineralization efficiency online observation method provided in the foregoing.

[0110] Based on the same inventive concept, the present application also provides a non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by the processor of the electronic device, the electronic device can perform to implement the basalt carbon mineralization efficiency online observation method provided in the foregoing.

[0111] Since the electronic device introduced in the embodiment is the electronic device used to implement the information processing method in the embodiment of the present application, the specific implementation of the electronic device and its various forms can be understood by those skilled in the art based on the information processing method introduced in the embodiment of the present application, so the implementation of the method in the embodiment of the present application by the electronic device will not be introduced in detail. As long as the electronic device used to implement the information processing method in the embodiment of the present application is implemented by those skilled in the art, it belongs to the scope of the present application.

[0112] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer usable storage media containing computer usable program code (including but not limited to disk storage, CD-ROM, optical storage, etc.).

[0113] The present application is described with reference to flowcharts and / or block diagrams of the method, device (system), and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The function specified in one flow or multiple flows and / or blocks Figure 1 The device that implements the function specified in one block or multiple blocks.

[0114] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the Figure 1 function specified in the flow or flows and / or blocks Figure 1 of the block or blocks.

[0115] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions that are executed on the computer or other programmable apparatus provide steps for implementing the Figure 1 function specified in the flow or flows and / or blocks Figure 1 of the block or blocks.

[0116] While the preferred embodiments of the application have been described, additional variations and modifications can be made to the embodiments by those skilled in the art once they learn of the basic inventive concepts. Therefore, the appended claims are intended to cover all such additional variations and modifications as fall within the scope of the application.

[0117] Obviously, numerous modifications and variations of the present application are possible in light of the above teachings. It is therefore to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A method for online observation of basalt carbon mineralization efficiency, characterized in that, The method comprises: preprocessing basalt chips, and pre-characterizing mineral composition and element composition of the basalt chips to obtain first characterization results, including determining mineral types of the basalt chips based on a polarizing microscope, obtaining morphology characteristics of the basalt chips based on a scanning electron microscope, and obtaining types and contents of elements of the basalt chips based on an energy spectrometer; based on the basalt chips, a glass slide, polydimethylsiloxane, and a flow cell, preparing a sealed fissure microfluid model; fixing the sealed fissure microfluid model in a high-pressure chamber, and pressurizing the sealed fissure microfluid model based on a high-pressure plunger pump until a target pressure is reached, wherein the high-pressure plunger pump contains salt water and a fluorescent probe; injecting supercritical carbon dioxide into the sealed fissure microfluid model at a preset flow rate, and keeping the sealed fissure microfluid model at a preset reaction temperature; based on a high-temperature and high-pressure micro-visualization displacement system, image acquisition is performed on the sealed fissure microfluid model to obtain real-time image data of the sealed fissure microfluid model; based on the real-time image data, liquid saturation, pore dynamic evolution, mineral dissolution and precipitation characteristics in the basalt chips are determined, including: converting color images of the sealed fissure microfluid model into grayscale images; distinguishing different phase states in the grayscale images based on a threshold segmentation method, wherein the phase states include carbon dioxide phase and pore water phase; determining boundary lines between the phase states and interface areas of each phase state based on an edge detection method; and determining liquid saturation, pore dynamic evolution, mineral dissolution and precipitation characteristics according to a ratio of pixels of the pore water phase to pixels of all pores in the grayscale images.

2. A method for online observation of basalt carbon mineralization efficiency according to claim 1, characterized in that, After the reaction ends, the method further comprises: cutting the sealed fissure microfluid model, and characterizing mineral composition and element composition of the basalt chips to obtain second characterization results; based on the first characterization results and the second characterization results, analyzing element migration characteristics of the basalt chips after the reaction, wherein the elements include Ca, Mg, C and Si.

3. A method for online observation of basalt carbon mineralization efficiency according to claim 1, characterized in that, The preprocessing of the basalt chips comprises: drilling a basalt sample to obtain a basalt cylinder, wherein the cylinder length of the basalt cylinder is 40 mm, and the diameter is 20 mm; cutting the basalt cylinder and cleaning it with acetone to obtain a basalt cube, wherein the length, width and height of the basalt cube are all 15 mm; polishing the basalt cube and cleaning it with acetone to obtain the basalt chip, wherein the length and width of the basalt chip are both 12 mm, and the height is 0.2 mm.

4. The basalt carbon mineralization efficiency online observation method according to claim 1, characterized in that, The method comprises: The pressure difference between the sealed fissure microfluid model and the high-pressure chamber is always less than or equal to 0.2 MPa.

5. A method for online observation of basalt carbon mineralization efficiency according to claim 1, characterized in that, Based on the basalt chips, a glass slide, polydimethylsiloxane, and a flow cell, a sealed fissure microfluid model is prepared, comprising: spinning polydimethylsiloxane on the glass slide, and bonding the glass slide to the flow cell; embedding the basalt chip in the glass slide to obtain the sealed fissure microfluid model.

6. A basalt carbon mineralization efficiency online observation device, characterized in that, The basalt carbon mineralization efficiency online observation method is applied to any one of claims 1-5, and the device comprises: A pretreatment module is configured to pretreat a basalt chip and pre-characterize mineral composition and element composition of the basalt chip to obtain a first characterization result. A preparation module is configured to prepare a sealed fissure microfluid model based on the basalt chip, a glass slide, polydimethylsiloxane, and a flow cell. A pressurization module is configured to fix the sealed fissure microfluid model in a high-pressure chamber and pressurize the sealed fissure microfluid model based on a high-pressure plunger pump until a target pressure is reached, wherein the high-pressure plunger pump contains salt water and a fluorescent probe. A reaction module is configured to inject supercritical carbon dioxide into the sealed fissure microfluid model at a preset flow rate and maintain the sealed fissure microfluid model at a preset reaction temperature. An image acquisition module is configured to acquire real-time image data of the sealed fissure microfluid model based on a high-temperature and high-pressure micro-visualization displacement system. An analysis module is configured to determine liquid saturation, pore dynamic evolution, mineral dissolution, and precipitation characteristics in the basalt chip based on the real-time image data.

7. An electronic device, comprising: It comprises: A processor; A memory for storing processor-executable instructions; The processor is configured to execute to implement the basalt carbon mineralization efficiency online observation method according to any one of claims 1-5.

8. A non-transitory computer-readable storage medium, comprising: When the instructions in the storage medium are executed by the processor of the electronic device, the electronic device can implement the basalt carbon mineralization efficiency online observation method according to any one of claims 1-5.

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