CO2 huff and puff effect evaluation method, device, equipment and storage medium

Abstract

The invention discloses a CO2 huff-puff effect evaluation method, device and equipment and a storage medium, the method comprises the following steps: firstly, judging crude oil types, and determining a judgment parameter I and a judgment parameter II by combining the sum of carbon number contents corresponding to the crude oil types before and after huff-puff and the sum of carbon number contents corresponding to non-raw material types before and after huff-puff; according to the method, on the basis of raw material types, a CO2 throughput effect evaluation result is obtained by combining a threshold range to which a judgment parameter I and a judgment parameter II belong. According to the method, the CO2 huff-puff effect is evaluated from the perspective of crude oil total hydrocarbon composition and light-medium-heavy component change rules, and the CO2 huff-puff effect is qualitatively and quantitatively evaluated through the microscopic change of crude oil total hydrocarbon components.

Description

Technical Field

[0001] This invention belongs to the field of petrochemical analysis and testing technology, specifically relating to a method, apparatus, equipment, and storage medium for evaluating CO2 throughput. Background Technology

[0002] CO2 huff and puff technology is a production enhancement technology that injects liquid carbon dioxide into the oil reservoir under certain pressure, making it miscible with the formation crude oil, reducing the viscosity of the crude oil, relieving formation blockage, and utilizing the expansion effect of carbon dioxide to replenish formation energy, thereby improving the oil well recovery rate. CO2 huff and puff for developing low-permeability reservoirs has advantages such as low investment, quick results, and long-lasting effects.

[0003] To improve CO2 huff and puff efficiency, current methods often focus on rationally determining injection parameters (including injection volume, injection rate, and well shut-in time), strengthening formation monitoring, improving injection technology, and employing other production enhancement technologies. Evaluation criteria are frequently used to assess CO2 huff and puff performance in order to enhance its effectiveness.

[0004] Within the industry, there are currently four standards for evaluating CO2 throughput: CO2 oil exchange rate, oil increase, CO2 injection intensity, and production increase ratio. These standards are all macroscopic throughput evaluations, which makes the evaluation results insufficient and inaccurate.

[0005] On the other hand, some practitioners have also constructed evaluation systems for CO2 throughput effects. For example, the published patent CN113592194 A discloses a method for establishing a CO2 throughput effect prediction model and a CO2 throughput effect evaluation method. This patent constructs a neural network structure based on existing sample parameters. After training the neural network structure, the throughput effect is predicted through the neural network model. In the sample parameters, this patent considers parameters such as well shut-in time and fracture spacing, with the target parameter being the oil exchange rate. However, this patent still uses the oil exchange rate alone as the evaluation standard and does not consider more detailed factors. Moreover, the entire process of this prediction and evaluation method is quite cumbersome. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method, apparatus, device and storage medium for evaluating CO2 throughput effect, so as to solve the problem that the evaluation results are not comprehensive and accurate enough when the CO2 throughput effect is evaluated directly through index parameters in the prior art, and the problem that the prediction evaluation method is relatively complicated in the process of establishing the existing evaluation system.

[0007] To achieve the above objectives, the present invention employs the following technical solution: A method for evaluating CO2 throughput includes the following steps: Determine the type of crude oil, which includes light, medium, and heavy crude oil; The first percentage content and the second percentage content are collected. The first percentage content is the sum of the carbon number content of the raw material type before CO2 huff and puff, and the second percentage content is the sum of the carbon number content of the raw material type after CO2 huff and puff. The third percentage content is determined based on the first percentage content, and the fourth percentage content is determined based on the second percentage content. The third percentage content is the sum of the carbon number content corresponding to non-raw material types before CO2 huff and puff, and the fourth percentage content is the sum of the carbon number content corresponding to non-raw material types after CO2 huff and puff. Based on the first percentage content, the second percentage content, the third percentage content, and the fourth percentage content, determine judgment parameter one and judgment parameter two; Based on the type of raw materials, the threshold range to which judgment parameter one and judgment parameter two belong is determined, and the CO2 throughput effect evaluation result is obtained through the threshold range.

[0008] A further improvement of the present invention is that: Preferably, the type of crude oil is determined by its density.

[0009] Preferably, the second percentage content is 1-the first percentage content, and the fourth percentage content is 1-the second percentage content.

[0010] Preferably, the calculation formula for the first determination parameter is: M = (S2 - S1) / S1 × 100% Where M is the first judgment parameter, S1 is the first percentage content, and S2 is the second percentage content.

[0011] Preferably, the calculation formula for the second determination parameter is: N=((S2 / (1-S2))- (S1 / (1-S1)) / (S1 / (1-S1))×100% Where N is the second judgment parameter, S1 is the first percentage content, and S2 is the second percentage content.

[0012] Preferably, for each type of crude oil, the threshold range includes three threshold ranges, corresponding to weak, medium, and strong throughput effects, respectively.

[0013] Preferably, the number of carbon atoms in hydrocarbon components is identified by crude oil full-hydrogen gas chromatography.

[0014] A CO2 throughput evaluation device, comprising: The type determination module is used to determine the type of crude oil, which includes light, medium, and heavy crude oil. The content acquisition module is used to acquire the first percentage content and the second percentage content. The first percentage content is the sum of the carbon number content of the raw material type before CO2 huff and puff, and the second percentage content is the sum of the carbon number content of the raw material type after CO2 huff and puff. The content calculation module is used to determine the third percentage content based on the first percentage content and the fourth percentage content based on the second percentage content. The third percentage content is the sum of the carbon number content of non-raw material types before CO2 huff and puff, and the fourth percentage content is the sum of the carbon number content of non-raw material types after CO2 huff and puff. The parameter confirmation module is used to determine judgment parameter one and judgment parameter two based on the first percentage content, the second percentage content, the third percentage content, and the fourth percentage content. The performance evaluation module is used to determine the threshold range to which judgment parameter one and judgment parameter two belong based on the raw material type, and obtain the CO2 throughput performance evaluation result through the threshold range.

[0015] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements a CO2 throughput evaluation method as described in any of the preceding claims.

[0016] A computer-readable storage medium storing a computer program, characterized in that, when executed by a processor, the computer program implements a CO2 throughput effect evaluation method as described in any of the preceding claims.

[0017] Compared with the prior art, the present invention has the following beneficial effects: This invention discloses a method for evaluating CO2 huff and puff effects. The method first determines the crude oil type, and then, based on the total carbon content of the feedstock type before and after CO2 huff and puff, as well as the total carbon content of non-feedstock types before and after huff and puff, determines judgment parameter one and judgment parameter two. Based on the feedstock type, this method determines whether judgment parameter one and judgment parameter two fall within a threshold range, and obtains the CO2 huff and puff effect evaluation result through this threshold range. This threshold range, based on the different total hydrocarbon composition of crude oil, evaluates the CO2 huff and puff effect from the perspective of the changes in the total hydrocarbon composition and light-medium-heavy components. It can qualitatively and quantitatively evaluate the CO2 huff and puff effect through microscopic changes in the total hydrocarbon components of crude oil. This method reflects the huff and puff effect by targeting the changes in crude oil composition before and after CO2 huff and puff. This method has significant advantages in evaluating CO2 huff and puff effects. Using this set of qualitative and quantitative evaluation methods, changes in the distribution range of crude oil composition can be qualitatively identified through crude oil total hydrocarbon gas chromatography experiments, and changes in the percentage content of light-medium-heavy components can be quantitatively compared to determine the strong-to-weak level of the huff and puff effect. It has advantages such as convenient experiments and a simple analytical procedure.

[0018] Furthermore, this method is based on gas chromatography analysis of crude oil full hydrocarbons. Using a DB-5 gas chromatography column (60m×0.25mm×0.25μm), and setting specific heating programs, carrier flow rates, and isothermal times, it ensures that the carbon number of hydrocarbon components and the segmentation of components in the crude oil before and after huff and puff can be identified and clearly observed. The huff and puff effect can be qualitatively observed, and the strength of the huff and puff effect can be quantitatively determined by the changes in the percentage content of component segments. In addition, the optimal shut-in time for CO2 huff and puff can be predicted, which has important indicative significance for improving oil recovery in reservoir development. Attached Figure Description

[0019] Figure 1 This is a flowchart of a CO2 throughput effect evaluation method according to the present invention; Figure 2 This is a diagram of a CO2 throughput effect evaluation device according to the present invention; Figure 3 This is a comparison chart of the changes in total hydrocarbon composition of crude oil before and after CO2 huff and puff in medium-quality crude oil, where C7-C 15 The changes in components were most pronounced before and after swallowing and spitting. Figure 4 This is a gas chromatogram of crude oil with all hydrocarbons before CO2 injection. The content of light components is low, and the biodegradation phenomenon is obvious.

[0020] Figure 5 The image shows the gas chromatogram of crude oil with all hydrocarbons after CO2 huff and puff. The content of light components is low, and biodegradation is obvious. Compared with before huff and puff, the content of medium components has increased significantly. Detailed Implementation

[0021] Hereinafter, the terms "first," "second," "third," and "fourth" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first," "second," "third," or "fourth" may explicitly or implicitly include one or more of that feature.

[0022] The synchronization method provided in this application can be applied to terminal devices such as mobile phones, tablets, wearable devices, in-vehicle devices, augmented reality (AR) / virtual reality (VR) devices, laptops, ultra-mobile personal computers (UMPCs), netbooks, and personal digital assistants (PDAs). This application does not impose any restrictions on the specific type of terminal device.

[0023] It should be noted that the terms "first," "second," etc., used in the specification and drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0024] CO2 huff and puff technology primarily utilizes the viscosity-reducing effect of CO2 dissolving in crude oil and the volume expansion effect caused by CO2 vaporization to improve the flow properties of formation crude oil and increase the fluid supply capacity and production rate of oil wells. Specifically, the principles of CO2 huff and puff technology include: reducing crude oil viscosity: Liquid CO2 rapidly vaporizes at formation temperatures. Vaporized CO2 is highly soluble in crude oil, significantly reducing crude oil density and oil-water interfacial tension, thereby improving crude oil flowability. Volume expansion effect: After CO2 dissolves in crude oil, it causes the crude oil volume to expand, increasing pore pressure, replenishing formation energy, and further enhancing the flowability of formation crude oil. The effectiveness of CO2 huff and puff is currently determined by various parameters, such as permeability, porosity, crude oil viscosity, reservoir temperature, reservoir thickness, oil saturation, reservoir heterogeneity, and reservoir pressure. However, this is a relatively macroscopic approach and lacks a unified standard.

[0025] Example 1 To solve the above problem, see Figure 1 This embodiment discloses a method for evaluating CO2 huff and puff performance based on crude oil full-hydrogen gas chromatography, including the following steps: S1, determine the type of crude oil, wherein the crude oil type includes light, medium and heavy crude oil; S2, collect the first percentage content and the second percentage content. The first percentage content is the sum of the carbon number content corresponding to the raw material type before CO2 huff and puff, and the second percentage content is the sum of the carbon number content corresponding to the raw material type after CO2 huff and puff. S3, determine the third percentage content based on the first percentage content, and determine the fourth percentage content based on the second percentage content. The third percentage content is the sum of the carbon number content corresponding to non-raw material types before CO2 huff and puff, and the fourth percentage content is the sum of the carbon number content corresponding to non-raw material types after CO2 huff and puff. S4. Based on the first percentage content, the second percentage content, the third percentage content, and the fourth percentage content, determine the first judgment parameter and the second judgment parameter. S5. Based on the type of raw materials, determine the threshold range for judgment parameter one and judgment parameter two, and obtain the CO2 throughput effect evaluation result through the threshold range.

[0026] This method demonstrates significant innovation and practicality in evaluating CO2 huff and puff effectiveness. Its core lies in accurately identifying the crude oil type, which forms the basis for subsequent analysis. By meticulously comparing the total carbon content of both feedstock and non-feedstock types in the crude oil before and after huff and puff, two key judgment parameters can be established: Parameter 1 and Parameter 2. These two parameters reflect the characteristics of crude oil composition changes during CO2 huff and puff. After determining these two parameters, the method further sets threshold ranges corresponding to Parameter 1 and Parameter 2 based on the crude oil feedstock type. The setting of these threshold ranges fully considers the complexity of the total hydrocarbon composition of crude oil and the changing patterns of light, medium, and heavy components during huff and puff. By comparing the actual huff and puff effectiveness with the threshold ranges, the evaluation results of CO2 huff and puff effectiveness can be obtained. This evaluation method not only focuses on the qualitative judgment of huff and puff effectiveness but also emphasizes quantitative assessment. Based on the changing patterns of the total hydrocarbon composition of crude oil and the light, medium, and heavy components, the percentage changes of each component before and after huff and puff can be accurately calculated, thus more accurately evaluating the CO2 huff and puff effectiveness. This combination of qualitative and quantitative evaluation methods makes the evaluation results more comprehensive and objective. Furthermore, this method offers advantages such as convenient experimentation and a simple analytical procedure. Using crude oil full-hydrocarbon gas chromatography, information on the variation range of crude oil composition distribution can be easily obtained, allowing for the classification of the huff-and-puff effect into strong, medium, and weak levels. This not only improves evaluation efficiency but also reduces evaluation costs.

[0027] Example 2 This embodiment discloses a method for evaluating CO2 huff and puff performance based on crude oil full-hydrocarbon gas chromatography, including the following steps: S1, determine the type of crude oil, wherein the crude oil type includes light, medium and heavy crude oil; S2, collect the first percentage content and the second percentage content. The first percentage content is the sum of the carbon number content corresponding to the raw material type before CO2 huff and puff, and the second percentage content is the sum of the carbon number content corresponding to the raw material type after CO2 huff and puff. S3, determine the third percentage content based on the first percentage content, and determine the fourth percentage content based on the second percentage content. The third percentage content is the sum of the carbon number content corresponding to non-raw material types before CO2 huff and puff, and the fourth percentage content is the sum of the carbon number content corresponding to non-raw material types after CO2 huff and puff. S4. Based on the first percentage content, the second percentage content, the third percentage content, and the fourth percentage content, determine the first judgment parameter and the second judgment parameter. S5. Based on the type of raw materials, determine the threshold range for judgment parameter one and judgment parameter two, and obtain the CO2 throughput effect evaluation result through the threshold range.

[0028] In S1, the crude oil type is determined, which includes light, medium and heavy crude oil. The crude oil type is determined by the crude oil density. CO2 and single-component hydrocarbons are miscible in a single contact without multi-stage contact processes. The mass transfer miscibility of crude oil hydrocarbon components and the shut-in time are closely related to the CO2 huff and puff effect.

[0029] Before CO2 injection, the surface crude oil is classified according to its density into light, medium, and heavy crude oil. Light crude oil has a relative density less than 0.852, medium crude oil has a relative density between 0.853 and 0.930, and heavy crude oil has a relative density between 0.931 and 0.998. Light crude oil contains more light hydrocarbons, such as naphtha and gasoline, and has lower viscosity. Medium crude oil has moderate density and lower viscosity, and is a common type of crude oil. Heavy crude oil has higher density, usually higher viscosity, and contains more heavy hydrocarbons, such as asphalt and heavy waxes. Light crude oil has a relatively high content of C1-C6 light components, while medium crude oil has a relatively high content of C7-C6 light components. 15 The content of medium-quality components is relatively high, and the C content of heavy crude oil is relatively high. 15 +The content of heavy components is relatively high.

[0030] Example 3 This embodiment discloses a method for evaluating CO2 huff and puff performance based on crude oil full-hydrocarbon gas chromatography, including the following steps: S1, determine the type of crude oil, wherein the crude oil type includes light, medium and heavy crude oil; S2, collect the first percentage content and the second percentage content. The first percentage content is the sum of the carbon number content corresponding to the raw material type before CO2 huff and puff, and the second percentage content is the sum of the carbon number content corresponding to the raw material type after CO2 huff and puff. S3, determine the third percentage content based on the first percentage content, and determine the fourth percentage content based on the second percentage content. The third percentage content is the sum of the carbon number content corresponding to non-raw material types before CO2 huff and puff, and the fourth percentage content is the sum of the carbon number content corresponding to non-raw material types after CO2 huff and puff. S4. Based on the first percentage content, the second percentage content, the third percentage content, and the fourth percentage content, determine the first judgment parameter and the second judgment parameter. S5. Based on the type of raw materials, determine the threshold range for judgment parameter one and judgment parameter two, and obtain the CO2 throughput effect evaluation result through the threshold range.

[0031] In this embodiment, the formula for calculating the determination parameter M is: M = (S2 - S1) / S1 × 100% Where M is the first judgment parameter, S1 is the first percentage content, and S2 is the second percentage content; Furthermore, in some embodiments of the present invention, the calculation formula for the determination parameter N is: N=((S2 / (1-S2))- (S1 / (1-S1)) / (S1 / (1-S1))×100% Where N is the first judgment parameter, S1 is the first percentage content, and S2 is the second percentage content.

[0032] Specifically, the second percentage content is 1 - the first percentage content, and the fourth percentage content is 1 - the second percentage content.

[0033] As a preferred embodiment, the first, second, third, and fourth percentage contents mentioned above are all mole fractions or volume fractions.

[0034] Example 4 This embodiment discloses a method for evaluating CO2 huff and puff performance based on crude oil full-hydrocarbon gas chromatography, including the following steps: S1, determine the type of crude oil, wherein the crude oil type includes light, medium and heavy crude oil; S2, collect the first percentage content and the second percentage content. The first percentage content is the sum of the carbon number content corresponding to the raw material type before CO2 huff and puff, and the second percentage content is the sum of the carbon number content corresponding to the raw material type after CO2 huff and puff. S3, determine the third percentage content based on the first percentage content, and determine the fourth percentage content based on the second percentage content. The third percentage content is the sum of the carbon number content corresponding to non-raw material types before CO2 huff and puff, and the fourth percentage content is the sum of the carbon number content corresponding to non-raw material types after CO2 huff and puff. S4. Based on the first percentage content, the second percentage content, the third percentage content, and the fourth percentage content, determine the first judgment parameter and the second judgment parameter. S5. Based on the type of raw materials, determine the threshold range for judgment parameter one and judgment parameter two, and obtain the CO2 throughput effect evaluation result through the threshold range.

[0035] For S5, based on the raw material type, the threshold ranges for judgment parameters one and two are determined, and the CO2 huff and puff effect evaluation results are obtained through these threshold ranges. The threshold ranges include three sub-ranges, corresponding to weak, medium, and strong huff and puff effects, respectively. The threshold ranges differ for crude oils of different densities; the larger the values ​​of M and N, the stronger the huff and puff capacity.

[0036] Example 5 This embodiment discloses a method for evaluating CO2 huff and puff performance based on crude oil full-hydrocarbon gas chromatography, including the following steps: S1, determine the type of crude oil, wherein the crude oil type includes light, medium and heavy crude oil; S2, collect the first percentage content and the second percentage content. The first percentage content is the sum of the carbon number content corresponding to the raw material type before CO2 huff and puff, and the second percentage content is the sum of the carbon number content corresponding to the raw material type after CO2 huff and puff. S3, determine the third percentage content based on the first percentage content, and determine the fourth percentage content based on the second percentage content. The third percentage content is the sum of the carbon number content corresponding to non-raw material types before CO2 huff and puff, and the fourth percentage content is the sum of the carbon number content corresponding to non-raw material types after CO2 huff and puff. S4. Based on the first percentage content, the second percentage content, the third percentage content, and the fourth percentage content, determine the first judgment parameter and the second judgment parameter. S5. Based on the type of raw materials, determine the threshold range for judgment parameter one and judgment parameter two, and obtain the CO2 throughput effect evaluation result through the threshold range.

[0037] Specifically, for S2-S4, light crude oil C1-C6, the first percentage content S1 is the total percentage content of light components C1-C6 before huff and puff, the second percentage content is the total percentage content of components with a carbon number greater than C6 after huff and puff, the third percentage content S2 is the total percentage content of components with a carbon number greater than C6 before huff and puff, and the fourth percentage content is the total percentage content of components with a carbon number greater than C6 after huff and puff.

[0038] Specifically, for medium-quality crude oil C7-C 15 The first percentage content S1 is the pre-swallowing C7-C 15 The total percentage of medium-quality components, the second percentage of which is the carbon number after huff and puff is C7-C. 15 The total percentage content of the components, the third percentage content is the content of components with fewer than C7 carbons and more than C7 carbons before throughput. 15 The total percentage content of the components, the fourth percentage content is the content of carbons less than C7 and carbons greater than C7 after the throughput. 15 The total percentage content of the components.

[0039] Specifically, for heavy crude oil CO2, the first percentage content S1 is the CO2 content before throughput. 15 +The total percentage of heavy components, the second percentage is the C after swallowing and vomiting. 15 +The total percentage of heavy components, with the third percentage being those with fewer than C2 carbons before throughput. 15 The total percentage of components, the fourth percentage is the percentage of carbons less than C after the blotting and swallowing process. 15 The total percentage content of the components.

[0040] Example 10 The total hydrocarbon composition of crude oil before and after CO2 huff and puff was obtained by gas chromatography analysis of crude oil total hydrocarbons. The gas chromatography experiment of crude oil total hydrocarbons is based on the principle of gas chromatography. The crude oil sample is evaporated into gas and separated by column chromatography, and then the compounds in it are qualitatively and quantitatively analyzed.

[0041] Example 6 In CO2 huff and puff technology, after CO2 is injected into the formation, it dissolves in the crude oil under the formation temperature and pressure conditions, causing the crude oil to expand in volume. Extending the shut-in time helps CO2 dissolve more fully in the crude oil, thereby increasing the expansion energy of the crude oil and improving well production. During shut-in, pressure waves within the formation propagate and affect fluid flow. A reasonable shut-in time ensures that the pressure waves propagate sufficiently within the formation, allowing CO2 to contact and react more fully with the crude oil. The length of the shut-in time also affects the formation permeability and fluid saturation. Too short a shut-in time may result in CO2 not diffusing sufficiently to every corner of the formation, thus reducing the huff and puff effect. Too long a shut-in time may cause excessive pressure drop in the formation, affecting subsequent production. Therefore, in some embodiments of this invention, the optimal shut-in time can be determined by recording the shut-in time of the same well or reservoir and using judgment parameters one and two.

[0042] Example 7 This embodiment discloses a method for evaluating CO2 huff and puff performance based on crude oil full-hydrocarbon gas chromatography, including the following steps: S1, determine the type of crude oil, wherein the crude oil type includes light, medium and heavy crude oil; S2, collect the first percentage content and the second percentage content. The first percentage content is the sum of the carbon number content corresponding to the raw material type before CO2 huff and puff, and the second percentage content is the sum of the carbon number content corresponding to the raw material type after CO2 huff and puff. S3, determine the third percentage content based on the first percentage content, and determine the fourth percentage content based on the second percentage content. The third percentage content is the sum of the carbon number content corresponding to non-raw material types before CO2 huff and puff, and the fourth percentage content is the sum of the carbon number content corresponding to non-raw material types after CO2 huff and puff. S4. Based on the first percentage content, the second percentage content, the third percentage content, and the fourth percentage content, determine the first judgment parameter and the second judgment parameter. S5. Based on the type of raw materials, determine the threshold range for judgment parameter one and judgment parameter two, and obtain the CO2 throughput effect evaluation result through the threshold range.

[0043] In step S2 above, the total hydrocarbon composition of crude oil before and after CO2 huff and puff is calculated through gas chromatography analysis of crude oil total hydrocarbons. This gas chromatography experiment is based on the principles of gas chromatography, where the crude oil sample is evaporated into a gas and separated by a column, allowing for qualitative and quantitative analysis of the compounds. During this process, the corresponding carbon number is identified through experimental analysis. In subsequent steps S3 and S4, the corresponding carbon number content is selected based on the different crude oil types identified in S1, and calculations are performed.

[0044] In some specific embodiments, the parameters for the crude oil full hydrocarbon gas chromatography experimental analysis are as follows: the programmed temperature rises to 35°C and holds for 8.5 min, then rises to 320°C at a rate of 6°C / min and holds for 35 min.

[0045] Example 8 In some specific embodiments of the present invention, based on the gas chromatography analysis of crude oil full hydrocarbons, before CO2 huff and puff of light crude oil, the total percentage content of C1-C6 light components is set as S1, and the total percentage content of C6+ components is set as 1-S1. After huff and puff, the total percentage content of C1-C6 light components is set as S2, and the total percentage content of C6+ components is set as 1-S2. If the first judgment parameter is set as M and the second judgment parameter is set as N, then the following formula is obtained: M = (S2 - S1) / S1 × 100% N1 = S1 / (1-S1)×100% N2 = S2 / (1-S2)×100% N=N2 / N1=((S2 / (1-S2))- (S1 / (1-S1)) / (S1 / (1-S1))×100% The percentage contents of the C1-C6 light components before and after swallowing / blowing are set as C1, C2, C3, C4, C5, C6, C1′, C2′, C3′, C4′, C5′, C6′, and let λ1 = C1 / C1′×100%, λ2 = C2 / C2′×100%, λ3 = C3 / C3′×100%, λ4 = C4 / C4′×100%, λ5 = C5 / C5′×100%, and λ6 = C6 / C6′×100%. The swallowing / blowing effect is quantitatively evaluated as follows: If 0 ≤ M < 40% and 0 ≤ N < 55.6%, the throughput is weak; 40%≤M<60% and 55.6%≤N<88.2%, indicating a medium-level throughput effect; With M≥60% and N≥88.2%, the throughput is strong.

[0046] Comparing the ratios of λ1 to λ6, the ratio of λn is most affected by throughput.

[0047] Record the shut-in time and M and N values ​​for the same well or reservoir, and record the optimal shut-in time.

[0048] Example 9 Before CO2 injection and output of medium-quality crude oil, C7-C 15 Let the total percentage content of the middle-grade components be S1, and let C7- and C... 15 The total percentage content of the components is 1-S1, and the C7-C content after swallowing and vomiting is 1-S1. 15 Let the total percentage content of the middle-grade components be S2, C7- and C 15 +The total percentage content of the components is 1-S2, and we set M=(S2-S1) / S1×100%, N1= S1 / (1-S1)×100%, N2= S2 / (1-S2)×100%, N=N2 / N1=((S2 / (1-S2))- (S1 / (1-S1)) / (S1 / (1-S1))×100%, C7-C 15 The percentage content of the middle-grade components before and after vomiting is set as C7, C8, C9, and C6. 10 C 11 C 12 C 13 C 14 C 15 C7′, C8′, C9′, C 10 ′、C 11 ′、C 12 ′、C 13 ′、C 14 ′、C 15 ′, let λ7=C7 / C7′×100%, λ8= C8 / C8′×100%, λ9= C9 / C9′×100%, λ10= C 10 / C 10 ′×100%,λ11= C 11 / C 11 ′×100%,λ12= C 12 / C 12 ′×100%,λ13= C 13 / C 13 ′×100%,λ14= C14 / C 14 ′×100%,λ15=C 15 / C 15 ×100%. Among these, the throughput effect was quantitatively evaluated as follows: If 0 ≤ M < 25% and 0 ≤ N < 33.3%, the throughput is weak; 40%≤M<50% and 33.3%≤N<55.6%, the throughput is in progress; With 50%≤M and 55.6%≤N, the throughput is strong.

[0049] Comparing the ratios of λ7 to λ15, the λn ratio is most affected by throughput.

[0050] At the same time, record the shut-in time and M and N values ​​of the same well or the same reservoir, and record the optimal shut-in time.

[0051] Example 10 Before CO2 injection of heavy crude oil, C 15 +The total percentage content of heavy components is set as S1, C 15 - The total percentage content of the components is 1-S1, and the C after swallowing / ejaculation is... 15+ Let the total percentage content of heavy components be S2, C 15 - The total percentage content of the components is 1-S2. Let M = (S2-S1) / S1 × 100%, N1 = S1 / (1-S1) × 100%, N2 = S2 / (1-S2) × 100%, N = N2 / N1 = ((S2 / (1-S2))-(S1 / (1-S1)) / (S1 / (1-S1)) × 100%, C 15 +The percentage content of the heavy component before and after vomiting is set as C. 15 C 15 +, C 15 ′、C 15 +′,λ15= C 15 / C 15 ′×100%,λ15+= C 15+ / C 15+ ×100%. Among these, the throughput effect was quantitatively evaluated as follows: If 0 ≤ M < 10% and 0 ≤ N < 12.8%, the throughput is weak; 10%≤M<30% and 12.8%≤N<40.5%, under normal throughput; With 30%≤M and 40.5%≤N, the throughput is strong.

[0052] Comparing the ratios of λ15 to λ15+, the λn ratio is most affected by throughput.

[0053] At the same time, record the shut-in time and M and N values ​​of the same well or the same reservoir, and record the optimal shut-in time.

[0054] Example 11 See Figure 2 This embodiment discloses a CO2 throughput evaluation device, comprising: The type determination module is used to determine the type of crude oil, which includes light, medium, and heavy crude oil. The content acquisition module is used to acquire the first percentage content and the second percentage content. The first percentage content is the sum of the carbon number content of the raw material type before CO2 huff and puff, and the second percentage content is the sum of the carbon number content of the raw material type after CO2 huff and puff. The content calculation module is used to determine the third percentage content based on the first percentage content and the fourth percentage content based on the second percentage content. The third percentage content is the sum of the carbon number content of non-raw material types before CO2 huff and puff, and the fourth percentage content is the sum of the carbon number content of non-raw material types after CO2 huff and puff. The parameter confirmation module is used to determine judgment parameter one and judgment parameter two based on the first percentage content, the second percentage content, the third percentage content, and the fourth percentage content. The performance evaluation module is used to determine the threshold range to which judgment parameter one and judgment parameter two belong based on the raw material type, and obtain the CO2 throughput performance evaluation result through the threshold range.

[0055] The following description, in conjunction with specific embodiments, provides further details.

[0056] See Figures 3-5 The relative density of the medium-quality oil at the surface is 0.871. The changes in the total hydrocarbon composition of the crude oil before and after CO2 injection are significant, particularly in the C7-C... 15 The components changed most significantly before and after the bolus treatment, with S1=20.86%, S2=33.02%, M=58.3%, N=87.0%, 50%≤M, and 55.6%≤N, indicating a strong bolus effect. λ7=44.1%, λ8=100.2%, λ9=100.4%, λ10=84.2%, λ11=66.9%, λ12=53.7%, λ13=48.5%, λ14=23.2%, and λ15=36.5%, with C8 and C9 showing the most significant changes.

[0057] Table 1. Comparison of changes in crude oil hydrocarbon composition before and after CO2 injection.

[0058] Example 12 This embodiment discloses a computer device, which includes a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions to achieve a corresponding method flow or function. The processor described in this embodiment can be used to achieve a CO2 throughput effect. The evaluation method includes the following steps: S1 Determine the crude oil type, which includes light, medium, and heavy crude oil; S2 Collect the first percentage content and the second percentage content, where the first percentage content is the total carbon number content corresponding to the feedstock type before CO2 huff and puff, and the second percentage content is the total carbon number content corresponding to the feedstock type after CO2 huff and puff; S3 Based on the first percentage content, the third percentage content, and the second percentage content, determine the fourth percentage content, where the third percentage content is the total carbon number content corresponding to the non-feedstock type before CO2 huff and puff, and the fourth percentage content is the total carbon number content corresponding to the non-feedstock type after CO2 huff and puff; S4 Based on the first percentage content, the second percentage content, the third percentage content, and the fourth percentage content, determine judgment parameter one and judgment parameter two; S5 Based on the feedstock type, determine whether judgment parameter one and judgment parameter two belong to the threshold range, and obtain the CO2 huff and puff effect evaluation result through the threshold range.

[0059] Example 13 This embodiment discloses a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a terminal device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and extended storage media supported by the terminal device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. A processor can load and execute one or more instructions stored in a computer-readable storage medium to implement a CO2 throughput effect evaluation method in the above embodiments, including the following steps: S1 Determine the crude oil type, which includes light, medium, and heavy crude oil; S2 Collect the first percentage content and the second percentage content, where the first percentage content is the total carbon content corresponding to the feedstock type before CO2 throughput, and the second percentage content is the total carbon content corresponding to the feedstock type after CO2 throughput; S3 Determine the fourth percentage content based on the first percentage content, the third percentage content, and the second percentage content, where the third percentage content is the total carbon content corresponding to the non-feedstock type before CO2 throughput, and the fourth percentage content is the total carbon content corresponding to the non-feedstock type after CO2 throughput; S4 Determine judgment parameter one and judgment parameter two based on the first percentage content, the second percentage content, the third percentage content, and the fourth percentage content; S5 Determine whether judgment parameter one and judgment parameter two belong to the threshold range based on the feedstock type, and obtain the CO2 throughput effect evaluation result through the threshold range. The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for evaluating CO2 throughput, characterized in that, Includes the following steps: Determine the type of crude oil, which includes light, medium, and heavy crude oil; The first percentage content and the second percentage content are collected. The first percentage content is the sum of the carbon number content of the raw material type before CO2 huff and puff, and the second percentage content is the sum of the carbon number content of the raw material type after CO2 huff and puff. The third percentage content is determined based on the first percentage content, and the fourth percentage content is determined based on the second percentage content. The third percentage content is the sum of the carbon number content corresponding to non-raw material types before CO2 huff and puff, and the fourth percentage content is the sum of the carbon number content corresponding to non-raw material types after CO2 huff and puff. Based on the first percentage content, the second percentage content, the third percentage content, and the fourth percentage content, determine judgment parameter one and judgment parameter two; Based on the type of raw materials, the threshold range to which judgment parameter one and judgment parameter two belong is determined, and the CO2 throughput effect evaluation result is obtained through the threshold range.

2. The method for evaluating CO2 throughput according to claim 1, characterized in that, Crude oil type can be determined by its density.

3. The method for evaluating CO2 throughput according to claim 1, characterized in that, The second percentage content is 1 - the first percentage content, and the fourth percentage content is 1 - the second percentage content.

4. The method for evaluating CO2 throughput according to claim 1, characterized in that, The calculation formula for the first determination parameter is as follows: M = (S2 - S1) / S1 × 100% Where M is the first judgment parameter, S1 is the first percentage content, and S2 is the second percentage content.

5. The method for evaluating CO2 throughput according to claim 1, characterized in that, The calculation formula for the second determination parameter is as follows: N=((S2 / (1-S2))- (S1 / (1-S1)) / (S1 / (1-S1))×100% Where N is the second judgment parameter, S1 is the first percentage content, and S2 is the second percentage content.

6. The method for evaluating CO2 throughput according to claim 1, characterized in that, For each type of crude oil, the threshold range includes three threshold ranges, corresponding to weak, medium, and strong throughput, respectively.

7. The method for evaluating CO2 throughput according to claim 1, characterized in that, The carbon number of hydrocarbon components was identified by gas chromatography of crude oil.

8. A CO2 throughput evaluation device, characterized in that, include: The type determination module is used to determine the type of crude oil, which includes light, medium, and heavy crude oil. The content acquisition module is used to acquire the first percentage content and the second percentage content. The first percentage content is the sum of the carbon number content of the raw material type before CO2 huff and puff, and the second percentage content is the sum of the carbon number content of the raw material type after CO2 huff and puff. The content calculation module is used to determine the third percentage content based on the first percentage content and the fourth percentage content based on the second percentage content. The third percentage content is the sum of the carbon number content of non-raw material types before CO2 huff and puff, and the fourth percentage content is the sum of the carbon number content of non-raw material types after CO2 huff and puff. The parameter confirmation module is used to determine judgment parameter one and judgment parameter two based on the first percentage content, the second percentage content, the third percentage content, and the fourth percentage content. The performance evaluation module is used to determine the threshold range to which judgment parameter one and judgment parameter two belong based on the raw material type, and obtain the CO2 throughput performance evaluation result through the threshold range.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements a CO2 throughput effect evaluation method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements a CO2 throughput effect evaluation method as described in any one of claims 1 to 7.

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