Method, device and computing equipment for calculating adsorption amount of biological nanoparticles

Abstract

The present invention discloses a method, device, and calculation equipment for calculating the adsorption capacity of biological nanoparticles. The method comprises: constructing a core to be analyzed and determining the geological reservoir data of the oilfield water injection well corresponding to the core; analyzing the microscopic pore structure characteristics of the core to be analyzed to obtain microscopic pore structure characteristic parameters of the core; and calculating the adsorption capacity of biological nanoparticles corresponding to the core based on the microscopic pore structure characteristic parameters and the geological reservoir data of the oilfield water injection well. The solution provided by the present invention fills the gap in the lack of effective quantitative characterization of the adsorption capacity of biological nanoparticles, making quantitative characterization of the adsorption capacity of biological nanoparticles possible. Furthermore, the accuracy of the quantitative characterization of the adsorption capacity of biological nanoparticles is improved by utilizing indoor physical simulation experiments and mathematical model analysis.

Description

Technical Field

[0001] The present invention relates to the field of exploration technology, and in particular to a method, device and computing equipment for calculating the adsorption amount of biological nanoparticles. Background Art

[0002] Of the over 700 water injection wells in the Bohai Oilfield, as many as 400 require depressurization and injection boosting annually, creating a significant market demand for de-blocking and injection boosting systems. Low-permeability, tight reservoirs are densely buried, with small pore throats, low porosity, and poor permeability. Currently, for secondary and tertiary oil recovery in oilfields, balancing injection and production is the primary method for stabilizing formation pressure and crucial for ensuring stable oilfield production. However, prolonged water injection in injection wells during production causes clay and other materials on the rock surface near the wellbore to hydrate, expand, and scale, leading to throat blockage. This in turn leads to under-pressure and under-injection, even to the point where water injection becomes difficult. To increase water injection rates, the Bohai Oilfield often increases injection pressure. However, every 1 MPa increase in injection pressure increases power loss by approximately 2% to 5%, resulting in wear and shortened service life of injection pumps. Moreover, the water injection pressure cannot exceed the bearing capacity of the equipment and oil reservoir. Therefore, relying on increasing the water injection pressure to increase the water injection volume cannot fundamentally solve the problem, and it will also bring hidden dangers to production safety.

[0003] In recent years, with the rapid development of nanotechnology, its application in oil production has attracted significant attention for its applications in pressure reduction and injection enhancement, near-wellbore plugging removal, heavy oil viscosity reduction, efficient oil displacement, and paraffin prevention and pour point reduction. Bionano-injection agents have also been extensively studied as pressure-reducing and injection-enhancing agents and plugging removers for water injection wells in low-permeability reservoirs. Bionano-injection agents primarily disperse hydrophobic nanoparticles in an organic medium and use an injection-adsorption process to treat the micropores of low-permeability reservoirs, transforming the rock surface from hydrophilic to hydrophobic. This reduces injection flow resistance, lowers injection pressure, increases injection volume, and prevents particle migration. These agents offer significant pressure reduction and injection enhancement effects with a long shelf life. Bionano-injection removers primarily remove organic scale through organic matter stripping and emulsification, while removing inorganic scale deep within the formation through dissolution, scale inhibition (preventing secondary precipitation), and diversion. However, a quantitative characterization method for the adsorption of bionanoparticles is currently lacking. Summary of the Invention

[0004] In view of the above problems, the present invention is proposed to provide a method, apparatus and computing device for calculating the adsorption amount of biological nanoparticles that overcome the above problems or at least partially solve the above problems.

[0005] According to one aspect of the present invention, a method for calculating the adsorption amount of biological nanoparticles is provided, comprising:

[0006] Construct the core to be analyzed and determine the geological reservoir data of the oil field water injection well corresponding to the core to be analyzed;

[0007] Analyze the microscopic pore structure characteristics of the core to be analyzed and obtain the core microscopic pore structure characteristic parameters;

[0008] According to the microscopic pore structure characteristic parameters of the core and the geological reservoir data of the oil field water injection wells, the adsorption amount of biological nanoparticles corresponding to the core to be analyzed is calculated.

[0009] According to another aspect of the present invention, there is provided a device for calculating the adsorption amount of biological nanoparticles, comprising:

[0010] A construction module is suitable for constructing the core to be analyzed and determining the geological reservoir data of the oil field water injection well corresponding to the core to be analyzed;

[0011] The analysis module is suitable for analyzing the microscopic pore structure characteristics of the core to be analyzed and obtaining the microscopic pore structure characteristic parameters of the core;

[0012] The first calculation module is suitable for calculating the adsorption amount of biological nanoparticles corresponding to the core to be analyzed based on the characteristic parameters of the microscopic pore structure of the core and the geological reservoir data of the oil field water injection well.

[0013] According to another aspect of the present invention, there is provided a computing device comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0014] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the above-mentioned method for calculating the adsorption amount of biological nanoparticles.

[0015] According to another aspect of the present invention, a computer storage medium is provided, wherein the storage medium stores at least one executable instruction, and the executable instruction enables a processor to execute operations corresponding to the above-mentioned method for calculating the adsorption amount of biological nanoparticles.

[0016] The solution provided by the present invention fills the gap in the lack of effective characterization of the adsorption amount of biological nanoparticles, making quantitative characterization of the adsorption amount of biological nanoparticles possible; in addition, the use of indoor physical simulation experiments and mathematical model analysis improves the accuracy of quantitative characterization of the adsorption amount of biological nanoparticles.

[0017] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are specifically listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0019] Figure 1A A schematic flow chart showing a method for calculating the adsorption amount of biological nanoparticles according to one embodiment of the present invention is shown;

[0020] Figure 1B is a schematic diagram of the core;

[0021] Figure 1C is the frequency diagram of core pore radius distribution;

[0022] Figure 1D is the frequency diagram of core throat radius distribution;

[0023] Figure 1E is the core pore-throat ratio distribution frequency diagram;

[0024] Figure 1F is the core coordination number distribution frequency diagram;

[0025] Figure 1G is the core tortuosity distribution frequency diagram;

[0026] Figure 1H This is a particle size distribution diagram of particles in the formation water flooding production fluid before the bio-nano plugging removal and injection continuous cropping treatment of the present invention;

[0027] Figure 1I This is a particle size distribution diagram of particles in the formation water flooding production fluid after the bio-nano plugging removal and injection continuous treatment of the present invention;

[0028] Figure 1J This is an injection curve diagram of an example well of the present invention;

[0029] Figure 2 A schematic structural diagram of a device for calculating the adsorption amount of biological nanoparticles according to one embodiment of the present invention is shown;

[0030] Figure 3 A schematic structural diagram of a computing device according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0031] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0032] Figure 1A FIG. 1 is a flow chart showing a method for calculating the adsorption amount of biological nanoparticles according to an embodiment of the present invention. Figure 1A As shown, the method includes the following steps:

[0033] Step S101: construct a core to be analyzed and determine the geological reservoir data of the oil field water injection well corresponding to the core to be analyzed.

[0034] The core to be analyzed is a core for which the adsorption amount of biological nanoparticles needs to be calculated, and is a low-permeability core in an offshore oil field.

[0035] For example, according to the reservoir characteristics of offshore oil fields, 12 pieces of artificial homogeneous cores (specifications 25 mm × 60-80 mm, round core columns) were collected. Figure 1B As shown, Figure 1B Only a few cores are shown schematically. The core parameters used in the experiment are shown in Table 1. Cores with different porosities and permeabilities were selected according to experimental requirements.

[0036] Table 1:

[0037] Number of cores diameter length Porosity Penetration Clay content 3 25mm 60mm 10-15％ 1-2mD 2-3％ 3 25mm 60mm 15-20％ 2-5mD 2-3％ 3 25mm 60mm 20-30％ 5-10mD 2-3％ 3 25mm 60mm ＞30％ >10mD 2-3％

[0038] In an optional embodiment of the present invention, to improve the accuracy of quantitative analysis, the method further includes: cleaning and drying the core prior to microscopic pore structure analysis. For example, the core can be cleaned using a chloroform-methanol solvent. This core cleaning removes impurities from the core surface, thereby improving the accuracy of subsequent calculations. The core can be dried in a 120°C drying oven.

[0039] When calculating the adsorption capacity of bio-nanoparticles, it is necessary to determine the geological reservoir data of the water injection wells in the oil field corresponding to the core to be analyzed. The geological reservoir data of the water injection wells reflects the reservoir characteristics of the offshore oil field. The geological reservoir data of the water injection wells can include the following data: —Average porosity of the reservoir, T—Kelvin temperature, S w —water saturation, U—fluid flow vector velocity, v p —fluid volume flow rate, L—distance between the injection end and the production end, etc., and of course it may also include some other data, such as tubing type, injection layer, injection conditions, etc.

[0040] Step S102: analyzing the microscopic pore structure characteristics of the core to be analyzed to obtain the microscopic pore structure characteristic parameters of the core.

[0041] Specifically, a microscopic pore structure characteristic analysis is performed on the core to be analyzed. The purpose of performing the microscopic pore structure characteristic analysis is to obtain characteristic microscopic pore structure parameters of the core, thereby characterizing the core microscopic pore structure in numerical form. For example, the core to be analyzed can be subjected to indoor experimental analysis using electron microscopy scanning, CT scanning, and constant-rate mercury injection testing to obtain a distribution frequency diagram of the core microscopic pore structure characteristic parameters. It should be noted that the order of the three analysis methods is not limited here. The core microscopic pore structure characteristic parameters are then determined based on the distribution frequency diagram of the core microscopic pore structure characteristic parameters. The core microscopic pore structure characteristic parameters include: pore radius, throat radius, pore-throat ratio, coordination number, and tortuosity microscopic pore parameters.

[0042] For example, the core pore radius distribution frequency diagram can be obtained through electron microscope scanning, CT scanning, and constant-rate mercury injection test methods. Among them, the pore radius of low permeability reservoirs is relatively small, mainly concentrated in the range of 90-110μm, with a peak value of 95.5μm, and the distribution frequency of pores with different radii is a left-skewed normal distribution. As the core permeability decreases, the pore radius peak shows a left-shifting trend, such as Figure 1C As shown in the figure, the core throat radius distribution frequency diagram shows that the throat radius of low permeability reservoirs is extremely small, mainly concentrated in the range of 0.2-2.5μm, with a peak of 1.5μm. The distribution frequency of throats with different radii is a left-skewed normal distribution. As the core permeability decreases, the throat radius peak shows a trend of moving to the upper left, as shown in the figure. Figure 1D As shown in the figure, the core pore-throat ratio distribution frequency diagram shows that the pore-throat ratio distribution range of low permeability reservoirs is relatively large, with values ​​between 55-155 and a peak value of 100.8. However, the pore-throat ratio distribution of cores with different permeability levels is relatively concentrated. The distribution frequencies of different pore-throat ratios are normally distributed and with the increase of core permeability, the throat radius peak shows a trend of moving to the upper left. Figure 1E As shown in the figure, the core coordination number distribution frequency diagram shows that the coordination number is distributed in a left-skewed normal curve, with its value distribution concentrated between 2 and 4, with a peak value of 2.1. As the permeability decreases, the coordination number distribution range gradually narrows, and the coordination number corresponding to the peak value decreases, as shown in the figure. Figure 1F As shown in the core tortuosity distribution frequency diagram, the tortuosity distribution range of cores with different permeability levels varies greatly, but is mainly concentrated between 2 and 5, with a peak of 3.5. As the permeability decreases, the tortuosity distribution range gradually expands, and the distribution frequency peak tends to move to the lower right, as shown in the figure. Figure 1G By comprehensively analyzing the above distribution frequency diagrams, the corresponding parameters can be derived. Using these parameters, combined with the Carman-Kozeny method and Abrams A.'s "three-sphere bridging theory," the average pore diameter of porous media and the diameter of bionanoparticles can be calculated.

[0043] Step S103 , calculating the adsorption amount of the biological nanoparticles corresponding to the core to be analyzed based on the microscopic pore structure characteristic parameters of the core and the geological reservoir data of the oil field water injection wells.

[0044] After obtaining the geological reservoir data of the oil field water injection well according to step S101 and the microscopic pore structure characteristic parameters of the core according to step S102, the adsorption amount of the bio-nanoparticles corresponding to the core to be analyzed can be calculated based on the above data. When calculating the adsorption amount of the bio-nanoparticles, relevant parameters of the bio-nanoparticles may also be involved. Among them, the adsorption amount of the bio-nanoparticles corresponding to the core to be analyzed specifically refers to the adsorption of the particles after the core to be analyzed is treated with bio-nano plugging and injection, that is, the adsorption of the bio-nanoparticles on the surface of the core.

[0045] Specifically, the adsorption amount of bionanoparticles corresponding to the core to be analyzed can be calculated using the following formula (1) based on the core microscopic pore structure characteristic parameters and the oil field water injection well geological reservoir data:

[0046]

[0047] Where M is the adsorption capacity of bionanoparticles, K att is the adsorption rate of bionanoparticles, m 2 / s;S w is the water saturation, %; C is the concentration of bio-nanoparticles at the extraction end, %; ψ is the adsorption coefficient of the adsorption degree, dimensionless; K det —Shedding rate of bionanoparticles, m 2 / s; is the average porosity of the reservoir; S is the adsorption concentration of bionanoparticles, %.

[0048] More specifically, the adsorption rate K of bionanoparticles att It can be calculated using the following formula (2):

[0049]

[0050] At the same time, bionanoparticles have the maximum adsorption capacity in the reservoir, and the adsorption coefficient ψ, which characterizes the degree of adsorption, can be calculated by the following formula (3):

[0051]

[0052] Where α is the collision efficiency coefficient, which can be calculated by the following formula (4):

[0053]

[0054] η0 is the correlation coefficient. The contact probability of bionanoparticles in porous media and the porous medium wall is related to diffusion, linkage, and sedimentation adsorption. η0 can be calculated by the following formula (5):

[0055]

[0056] As is the Happel correction coefficient, which can be calculated using the following formula (6):

[0057]

[0058] N R is the intercept number, which can be calculated by the following formula (7):

[0059]

[0060] N Pe is the Peclet number, which represents the ratio of convective transport to diffusive transport and can be calculated using the following formula (8):

[0061]

[0062] U is the fluid flow vector velocity, D ∞ is the diffusion coefficient, which can be calculated by the following formula (9):

[0063]

[0064] N vdw is the van der Waals number, which can be calculated using the following formula (10):

[0065]

[0066] N A is the gravitational number, which can be calculated by the following formula (11):

[0067]

[0068] N G is the gravitational force due to gravity, which can be calculated using the following formula (12):

[0069]

[0070] Where: As is the Happel correction coefficient, dimensionless; N R is the intercept number, dimensionless; d p is the diameter of biological nanoparticles, nm; d c is the average pore diameter of the porous medium, μm; N Pe is the Peclet number, dimensionless; U is the fluid flow vector velocity, m / s; D∞ is the diffusion coefficient, m 2 / s; k is the Boltzmann constant; T is the Kelvin temperature, K; μ is the fluid dynamic viscosity, N·s / m 2 ;a p is the radius of the bionanoparticle, nm; N vdw is the van der Waals number, N; A is the Hamaker constant, J; N A is the gravitational force, N·m 2 / kg 2 ; N G is the gravitational force due to gravity, N·m 2 / kg 2 ρ p is the density of bionanoparticles, kg / m 3 ρ f is the fluid density, kg / m 3 ; g is the acceleration due to gravity, m / s 2 ; η0 is the correlation coefficient; α is the collision efficiency coefficient, which represents the fraction of bio-nanoparticles that remain attached after collision, %; v p is the fluid volume flow rate, m 3 / s; L is the distance between the injection end and the extraction end, m; C0 is the concentration of bionanoparticles at the injection end, %; S max is the theoretical maximum adsorption concentration of bionanoparticles, %.

[0071] In actual exploration, an offshore oilfield water injection well, B21, was selected. This well was completed with cased perforation and injected using an intelligent measurement and adjustment split-injection string. The injection zones were E2s3UIV+V and E2s3MI upper+I lower+II. The vertical thickness of the perforated injection zone was 42.2 m, with an average permeability of 8.5 mD and an average porosity of 21.9%. After acidification, the daily injection rate increased to 200 m³ / d, but the water injection rate quickly declined. Under-injection became increasingly severe due to high injection pressures, requiring injection pressures of approximately 18 MPa to achieve a full injection of 120 m³ / d. Bio-nanoblocking and augmented injection were subsequently implemented. Combining the data obtained in steps S101 and S102 and applying a bio-nanoparticle adsorption capacity formula established by considering various factors (the required parameters are shown in Table 2), the bio-nanoparticle adsorption capacity corresponding to the core was calculated to be 58.29.

[0072] Table 2:

[0073]

[0074]

[0075] In an optional embodiment of the present invention, after calculating the adsorption amount of the bio-nanoparticles corresponding to the core to be analyzed based on the microscopic pore structure characteristic parameters of the core and the geological reservoir data of the water injection well, the method further includes:

[0076] Perform water injection treatment on the core to be analyzed, collect the first output fluid of the formation water drive, analyze the first output fluid to obtain the first particle parameters of the particles in the first output fluid;

[0077] The core to be analyzed is subjected to a bio-nano plugging removal and injection treatment, and the second output fluid of the treated formation water drive is collected and analyzed to obtain the second particle parameters of the particles in the second output fluid;

[0078] calculating the bio-nanoparticle adsorption rate according to the first particle parameter and the second particle parameter;

[0079] The injection amount of bio-nanoparticles is calculated based on the adsorption rate and adsorption amount of bio-nanoparticles.

[0080] Specifically, in order to accurately calculate the actual injection amount of bio-nanoparticles, after calculating the adsorption amount of bio-nanoparticles, a bio-nano plugging removal and injection core simulation experiment needs to be carried out. For example, the core to be analyzed can be injected with water, and the first output fluid of the formation water drive is collected. The first output fluid is analyzed to obtain the first particle parameter of the particles in the first output fluid. Here, the main purpose is to measure the number of particles in the first output fluid. For example, the total number of particles in the first output fluid is recorded as Q1; the core to be analyzed can be subjected to bio-nano plugging removal and injection continuous treatment, and the second output fluid of the treated formation water drive is collected. The second output fluid is analyzed to obtain the second particle parameter of the particles in the second output fluid. Here, the main purpose is to measure the number of particles in the second output fluid. For example, the total number of particles in the second output fluid is recorded as Q2. The number of particles in the first output fluid and the second output fluid can be measured by a coulometric meter.

[0081] Specifically, the bionanoblocking removal and augmentation treatment utilizes a continuous system of bionanoblocking removers and bionanoinjection enhancers. This is a multi-part displacement process, with additional key steps such as blockage removal with the blockage remover and static adsorption of the injection enhancer coating. Depending on the injection requirements, the displacement parameters utilize a stable flow rate for both formation water and clean water flooding, and a stable injection rate for both the bionanoblocking remover and the bionanoinjection enhancer. For example, a 3-5PV bionanoblocking remover solution is injected into the displacement system, followed by a 0.2PV KCl solution. The pipeline is then flushed, and the displacement system is shut down for four hours to ensure the blockage removal effect of the blockage remover. After a further 0.5PV KCl injection, a 3-5PV bionanoinjection enhancer solution is injected. The displacement system is then shut down for 12 hours to ensure the absorption of the injection enhancer. Fresh water is then used for a period of time to reach a stable displacement pressure. The fresh water flooding pressure, ΔP, is measured at a specific flow rate, and the core permeability k is calculated according to Darcy's equation to evaluate the bionanoblocking reduction / injection enhancer effectiveness. The stable injection volume specifically refers to injecting a predetermined concentration and volume of bio-nano plugging remover and bio-nano injection enhancer at a certain flow rate (0.5-1 ml / min).

[0082] After obtaining the first particle parameter and the second particle parameter, the bio-nanoparticle adsorption rate can be calculated based on the first particle parameter and the second particle parameter. For example, the bio-nanoparticle adsorption rate f can be calculated using the following formula:

[0083] f=(Q1-Q2) / Q1

[0084] The obtained bio-nanoparticle adsorption rate can be used as one of the indicators for evaluating the performance of nanoparticles. Then, the bio-nanoparticle injection volume V can be calculated according to the bio-nanoparticle adsorption amount M calculated in step S103 using the following formula:

[0085] V=M / f.

[0086] In order to study the effect of bio-nano blockage removal and injection on the migration of clay mineral particles, the output fluid of the formation water drive before and after bio-nano blockage removal and injection was collected, and the number of particles in the output fluid was measured by coulometric analysis. The results of the particle number are shown in Figure 1H and Figure 1IThe biological nanofluid can effectively inhibit the migration of clay particles, the solid particles in the production fluid are significantly reduced, and the particle size is reduced. The total number of particles in the formation water production fluid before the biological nano-blocking and injection and continuous cropping is 9269 / ml, and the number of particles in the formation water production fluid after treatment is 3151 / ml. The total number of biological nano-adsorbed particles is 6118 / ml, and the particle size does not change much, indicating that in the whole process, the particle migration particle morphology is the same, the difference is that the number of migrated particles is significantly reduced, indicating that the biological nano-blocking and injection and continuous cropping system can effectively inhibit the number of particle migration. According to the formula: f = (Q1-Q2) / Q1, the adsorption rate of bio-nanoparticles is 66%. The adsorption amount of bio-nanoparticles calculated by step S103 is 58.29. According to the above formula, the injection amount of bio-nanoparticles is 88.3. It can be seen that after the bio-nanoparticles enter the formation, they can be adsorbed in large quantities in the pores and throats of the formation, which will have a certain degree of improvement in the pressure reduction and injection of the injection well. After the implementation of the bio-nanoparticle deblocking and injection increase measures, the injection volume increased to 70m 3 / d, the injection pressure drops by 50%, which can meet the injection volume requirements of the water injection well. Figure 1J shown.

[0087] Therefore, the method for calculating the adsorption amount of biological nanoparticles provided by the present invention provides a quantitative and operable technical method and implementation steps.

[0088] The solution provided by the present invention fills the gap of the lack of effective characterization of the adsorption amount of biological nanoparticles, making it possible to quantitatively characterize the adsorption amount of biological nanoparticles; in addition, the use of indoor physical simulation experiments and mathematical model analysis improves the accuracy of the quantitative characterization of the adsorption amount of biological nanoparticles.

[0089] Figure 2 FIG. 1 shows a schematic diagram of a device for calculating the adsorption amount of biological nanoparticles according to an embodiment of the present invention. Figure 2 As shown, the device includes:

[0090] Construction module 201 is adapted to construct a core to be analyzed and determine the geological reservoir data of the oil field water injection well corresponding to the core to be analyzed;

[0091] Analysis module 202, adapted to analyze the microscopic pore structure characteristics of the core to be analyzed, and obtain characteristic parameters of the microscopic pore structure of the core;

[0092] The first calculation module 203 is adapted to calculate the adsorption amount of the biological nanoparticles corresponding to the core to be analyzed based on the microscopic pore structure characteristic parameters of the core and the geological reservoir data of the oil field water injection wells.

[0093] Optionally, the device further comprises: a second calculation module, adapted to perform water injection treatment on the core to be analyzed, collect a first output fluid of formation water drive, and analyze the first output fluid to obtain first particle parameters of particles in the first output fluid;

[0094] The core to be analyzed is subjected to a bio-nano plugging removal and injection treatment, and the second output fluid of the treated formation water drive is collected and analyzed to obtain the second particle parameters of the particles in the second output fluid;

[0095] calculating the bio-nanoparticle adsorption rate according to the first particle parameter and the second particle parameter;

[0096] The injection amount of bio-nanoparticles is calculated based on the adsorption rate and adsorption amount of bio-nanoparticles.

[0097] Optionally, the analysis module is further adapted to: perform experimental analysis on the core to be analyzed using electron microscope scanning, CT scanning, and constant-rate mercury injection testing to obtain a distribution frequency diagram of characteristic parameters of the core microscopic pore structure;

[0098] The core microscopic pore structure characteristic parameters are determined based on the core microscopic pore structure characteristic parameter distribution frequency diagram.

[0099] Optionally, the device further comprises: a processing module, adapted to perform core cleaning and drying on the core to be analyzed.

[0100] Optionally, the processing module is further adapted to: perform core cleaning treatment on the core to be analyzed using chloroform-methanol solvent.

[0101] Optionally, the core microscopic pore structure characteristic parameters include: pore radius, throat radius, pore-throat ratio, coordination number, and tortuosity microscopic pore parameters.

[0102] The solution provided by the present invention fills the gap of the lack of effective characterization of the adsorption amount of biological nanoparticles, making it possible to quantitatively characterize the adsorption amount of biological nanoparticles; in addition, the use of indoor physical simulation experiments and mathematical model analysis improves the accuracy of the quantitative characterization of the adsorption amount of biological nanoparticles.

[0103] The embodiment of the present application further provides a non-volatile computer storage medium, which stores at least one executable instruction. The computer executable instruction can execute the method for calculating the adsorption amount of biological nanoparticles in any of the above method embodiments.

[0104] Figure 3 A schematic structural diagram of a computing device according to an embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the computing device.

[0105] like Figure 3As shown, the computing device may include: a processor 302 , a communications interface 304 , a memory 306 , and a communication bus 308 .

[0106] in:

[0107] The processor 302 , the communication interface 304 , and the memory 306 communicate with each other via a communication bus 308 .

[0108] The communication interface 304 is used to communicate with other devices such as clients or other servers.

[0109] The processor 302 is configured to execute the program 310 , and specifically to execute the relevant steps in the above embodiment of the method for calculating the adsorption amount of biological nanoparticles.

[0110] Specifically, the program 310 may include program codes, which include computer operation instructions.

[0111] Processor 302 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors included in a computing device may be processors of the same type, such as one or more CPUs, or processors of different types, such as one or more CPUs and one or more ASICs.

[0112] The memory 306 is used to store the program 310. The memory 306 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0113] Program 310 can specifically be used to cause processor 302 to execute the method for calculating the amount of bio-nanoparticle adsorption described in any of the aforementioned method embodiments. The specific implementation of each step in program 310 can be found in the corresponding descriptions of the corresponding steps and units in the aforementioned method embodiments for calculating the amount of bio-nanoparticle adsorption, and will not be repeated here. Those skilled in the art will clearly understand that, for ease and brevity of description, the specific operating processes of the devices and modules described above can refer to the corresponding process descriptions in the aforementioned method embodiments, and will not be repeated here.

[0114] The algorithm or demonstration provided herein are not inherently relevant to any particular computer, virtual system or other equipment. Various general-purpose systems may also be used together with the teachings based on this. According to the above description, it is apparent that the structure required for constructing this type of system. In addition, the embodiment of the present invention is not directed to any specific programming language yet. It should be understood that various programming languages ​​can be utilized to realize the content of the present invention described herein, and the above description of specific languages ​​is for the purpose of disclosing the best mode of the present invention.

[0115] In the description provided herein, numerous specific details are described. However, it is understood that embodiments of the present invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of this description.

[0116] Similarly, it should be understood that in order to streamline the present invention and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected in the claims below, inventive aspects lie in less than all the features of the individual embodiments disclosed above. Accordingly, the claims that follow the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of the invention.

[0117] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition may be divided into multiple submodules or subunits or subcomponents. All features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed herein may be combined in any combination, except that at least some of such features and / or processes or units are mutually exclusive. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0118] Furthermore, those skilled in the art will appreciate that although some embodiments herein include certain features included in other embodiments but not other features, combinations of features from different embodiments are intended to be within the scope of the present invention and to form different embodiments. For example, in the claims below, any of the claimed embodiments may be used in any combination.

[0119] The various component embodiments of the present invention can be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that a microprocessor or digital signal processor (DSP) can be used in practice to implement some or all of the functions of some or all of the components according to an embodiment of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., a computer program and a computer program product) for executing a part or all of the methods described herein. Such a program implementing the present invention can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0120] It should be noted that the above embodiments illustrate rather than limit the invention, and that alternative embodiments may be devised by a person skilled in the art without departing from the scope of the appended claims. In the claims, any reference signs placed between brackets should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising several different elements and by means of appropriately programmed computers. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names. The steps in the above embodiments should not be understood as limiting the order of execution unless otherwise specified.

Claims

1. A method for calculating the adsorption capacity of biological nanoparticles, comprising: Constructing a core to be analyzed, and determining geological reservoir data of an oil field water injection well corresponding to the core to be analyzed; Performing microscopic pore structure characteristic analysis on the core to be analyzed to obtain microscopic pore structure characteristic parameters of the core; Calculating the adsorption amount of the biological nanoparticles corresponding to the core to be analyzed based on the microscopic pore structure characteristic parameters of the core and the geological reservoir data of the oil field water injection well; Among them, according to the microscopic pore structure characteristic parameters of the core and the geological reservoir data of the oil field water injection well, the adsorption amount of the biological nanoparticles corresponding to the core to be analyzed is calculated using formula (1): Where M is the adsorption capacity of bionanoparticles, K att is the adsorption rate of bionanoparticles, m 2 / s;S w is the water saturation, %; C is the concentration of bio-nanoparticles at the extraction end, %; ψ is the adsorption coefficient of the adsorption degree, dimensionless; K det —Shedding rate of bionanoparticles, m 2 / s; is the average porosity of the reservoir; S is the adsorption concentration of bionanoparticles, %; Formula (2) is used to calculate the adsorption rate K of biological nanoparticles att : The adsorption coefficient ψ is calculated by formula (3): The collision efficiency coefficient α is calculated by formula (4): η0 is the correlation coefficient, and the contact probability of bio-nanoparticles in porous media and the porous medium wall is related to diffusion, linking and sedimentation adsorption. α is the collision efficiency coefficient, which represents the fraction of bio-nanoparticles that remain attached after collision, %; v p is the fluid volume flow rate, m 3 / s; L is the distance between the injection end and the extraction end, m; C0 is the concentration of bionanoparticles at the injection end, %; S max is the theoretical maximum adsorption concentration of bionanoparticles, %; d c is the average pore diameter of the porous medium, μm.

2. The method according to claim 1, wherein After calculating the adsorption amount of the biological nanoparticles corresponding to the core to be analyzed based on the core microscopic pore structure characteristic parameters and the oil field water injection well geological reservoir data, the method further includes: Performing water flooding treatment on the core to be analyzed, collecting a first output fluid of formation water drive, and analyzing the first output fluid to obtain first particle parameters of particles in the first output fluid; Performing a bio-nano blockage removal and augmentation treatment on the core to be analyzed, collecting a second output fluid of the treated formation water drive, and analyzing the second output fluid to obtain a second particle parameter of particles in the second output fluid; calculating the adsorption rate of the biological nanoparticles according to the first particle parameter and the second particle parameter; The amount of bio-nanoparticles injected is calculated according to the bio-nanoparticle adsorption rate and the amount of bio-nanoparticles adsorbed.

3. The method according to claim 1 or 2, wherein The performing microscopic pore structure characteristic analysis on the core to be analyzed to obtain the core microscopic pore structure characteristic parameters further comprises: The core to be analyzed is subjected to experimental analysis using electron microscope scanning, CT scanning, and constant-rate mercury injection testing methods to obtain a distribution frequency diagram of characteristic parameters of the core microscopic pore structure; The core microscopic pore structure characteristic parameters are determined according to the core microscopic pore structure characteristic parameter distribution frequency diagram.

4. The method according to claim 1 or 2, wherein: Before performing microscopic pore structure characteristic analysis on the core to be analyzed, the method further includes: The core to be analyzed is cleaned and dried.

5. The method according to claim 4, wherein The core cleaning process for the core to be analyzed further includes: The core to be analyzed is cleaned using a chloroform-methanol solvent.

6. The method according to claim 1 or 2, wherein: The core microscopic pore structure characteristic parameters include: pore radius, throat radius, pore-throat ratio, coordination number, and tortuosity microscopic pore parameters.

7. A device for calculating the adsorption amount of biological nanoparticles, comprising: A construction module, adapted to construct a core to be analyzed and determine geological reservoir data of an oilfield water injection well corresponding to the core to be analyzed; An analysis module, adapted to perform microscopic pore structure characteristic analysis on the core to be analyzed, and obtain characteristic parameters of the core microscopic pore structure; The first calculation module is adapted to calculate the adsorption amount of the biological nanoparticles corresponding to the core to be analyzed based on the microscopic pore structure characteristic parameters of the core and the geological reservoir data of the oil field water injection well, wherein the adsorption amount of the biological nanoparticles corresponding to the core to be analyzed is calculated based on the microscopic pore structure characteristic parameters of the core and the geological reservoir data of the oil field water injection well using formula (1): Where M is the adsorption capacity of bionanoparticles, k att is the adsorption rate of bionanoparticles, m 2 / s;S w is the water saturation, %; C is the concentration of bio-nanoparticles at the extraction end, %; ψ is the adsorption coefficient of the adsorption degree, dimensionless; k det —Shedding rate of bionanoparticles, m 2 / s; is the average porosity of the reservoir; S is the adsorption concentration of bionanoparticles, %; Formula (2) is used to calculate the adsorption rate K of biological nanoparticles att : The adsorption coefficient ψ is calculated by formula (3): The collision efficiency coefficient α is calculated by formula (4): η0 is the correlation coefficient, which indicates the contact probability of bio-nanoparticles in porous media with the porous medium wall, which is related to diffusion, linkage, and sedimentation adsorption; α is the collision efficiency coefficient, which indicates the fraction of bio-nanoparticles that remain attached after collision, %; v p is the fluid volume flow rate, m 3 / s; L is the distance between the injection end and the extraction end, m; C0 is the concentration of bionanoparticles at the injection end, %; S max is the theoretical maximum adsorption concentration of bionanoparticles, %; d c is the average pore diameter of the porous medium, μm.

8. The device according to claim 7, wherein The device further comprises: a second calculation module, adapted to perform water injection treatment on the core to be analyzed, collect a first output fluid of formation water drive, and analyze the first output fluid to obtain first particle parameters of particles in the first output fluid; Performing a bio-nano blockage removal and augmentation treatment on the core to be analyzed, collecting a second output fluid of the treated formation water drive, and analyzing the second output fluid to obtain a second particle parameter of particles in the second output fluid; calculating the adsorption rate of the biological nanoparticles according to the first particle parameter and the second particle parameter; The amount of bio-nanoparticles injected is calculated according to the bio-nanoparticle adsorption rate and the amount of bio-nanoparticles adsorbed.

9. A computing device comprising: A processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the method for calculating the adsorption amount of biological nanoparticles according to any one of claims 1 to 6.

10. A computer storage medium, wherein at least one executable instruction is stored in the storage medium, wherein the executable instruction enables a processor to execute operations corresponding to the method for calculating the adsorption amount of biological nanoparticles according to any one of claims 1 to 6.

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