Method, device and equipment for determining inter-well matrix stimulation parameters

Abstract

This application discloses a method, apparatus, and device for determining inter-fracture matrix mobilization parameters. The method involves acquiring a microfluidic chip of the target reservoir and pre-set experimental parameters. The microfluidic chip includes pores and throats of the matrix and fractures. The pre-set experimental parameters include displacement experimental parameters under at least two displacement modes. A microfluidic device is constructed based on the microfluidic chip, and displacement simulation is performed using the pre-set experimental parameters and the microfluidic device. Multiple interface information of the multiphase fluid within the microfluidic chip and the corresponding time for each interface are acquired. Based on the multiple interface information and the corresponding time for each interface, the inter-fracture matrix mobilization parameters of the target reservoir are determined. This method allows for the rapid, accurate, and intuitive determination of inter-fracture matrix mobilization parameters in unconventional reservoir oilfields.

Description

Technical Field

[0001] This application relates to the field of oil and gas development technology, and in particular to a method, apparatus and equipment for determining inter-fracture matrix mobilization parameters. Background Technology

[0002] The low porosity, low permeability, and strong heterogeneity of unconventional reservoirs lead to significant discrepancies between production predictions and actual production, making cross-referencing difficult. Furthermore, unconventional reservoirs are constrained by the rapid depletion of crude oil in natural fractures and the slow replenishment of matrix crude oil, hindering sustainable development. Additionally, the micro- to nanoscale particle size of unconventional reservoirs makes it difficult to effectively understand their pore structure, which is influenced by multiple factors, and to analyze the multiphase flow patterns at the micro- to nanoscale.

[0003] Unconventional reservoirs are characterized by numerous microfractures, foliation fractures, or organic-clay composite pores and fractures. Current research on unconventional oil reservoirs focuses on the flow patterns of fractures, neglecting the matrix fluid supply capacity and dynamic characteristics between two or more fractures. Furthermore, studies on the flow patterns of fractures in unconventional oil reservoirs often employ numerical simulation methods, which make it difficult to obtain faster and more intuitive results.

[0004] There is currently no effective solution to the problem of not being able to quickly and intuitively determine the parameters of matrix activation in unconventional reservoir fractures. Summary of the Invention

[0005] The purpose of this application is to provide a method, apparatus, and equipment for determining inter-fracture matrix activation parameters, in order to solve the problem of the inability to quickly and intuitively determine the inter-fracture matrix activation parameters of unconventional reservoirs.

[0006] To solve the above-mentioned technical problems, the first aspect of this specification provides a method for determining the parameters of inter-crack matrix mobilization, including:

[0007] The microfluidic chip of the target reservoir and the preset experimental parameters are obtained. The microfluidic chip includes pores and throats of the matrix and fractures. The preset experimental parameters include displacement experimental parameters under at least two displacement modes.

[0008] A microfluidic device was built based on a microfluidic chip, and displacement simulation was performed using the preset experimental parameters and the microfluidic device.

[0009] Acquire multiple interface information of multiphase fluid within a microfluidic chip and the corresponding time for each interface;

[0010] Based on multiple interface information and the time corresponding to each interface information, the inter-fractory matrix mobilization parameters of the target reservoir are determined.

[0011] In some embodiments of this specification, the microfluidic chip is determined in the following manner:

[0012] Obtain geological data of the target reservoir, including at least well logging data, seismic data, and core data;

[0013] Based on the geological data, determine the key matrix parameters and key fracture parameters of the target reservoir;

[0014] Based on the matrix key parameters and the fracture key parameters, the pore characteristics and throat characteristics of the target reservoir are determined;

[0015] The microfluidic chip is obtained by etching based on the pore features and the throat features.

[0016] In some embodiments of this specification, the microfluidic chip includes a crack simulated by a first throat and a first pore, and a matrix simulated by a second throat and a second pore, wherein the size of the first throat is larger than the size of the second throat, and the size of the first pore is larger than the size of the second pore.

[0017] The key parameters of the matrix include matrix porosity and matrix permeability, and the key parameters of the fracture include fracture porosity and fracture permeability.

[0018] In some embodiments of this specification, the microfluidic device includes at least two intermediate containers, a back pressure pump, an injection pump, at least two pressure sensors, a chip clamping unit, an image acquisition unit, a vacuum pump, a vent valve, and a temperature control unit.

[0019] The microfluidic chip is fixed to the chip clamping part. The microfluidic chip has at least two inlets and outlets. Each intermediate container is connected to the corresponding inlet through a pipeline. At least two pressure sensors are respectively installed on the pipeline connecting the intermediate container and the inlet. The temperature control part is connected to the chip clamping part.

[0020] At least one intermediate container is connected to the injection pump, at least one intermediate container is connected to the back pressure pump, the vacuum pump; and a pipeline is connected to at least one inlet.

[0021] In some embodiments of this specification, the first intermediate container of the at least two intermediate containers stores an identified oil phase sample, and a first control valve is provided on the pipeline connecting the first intermediate container to the first inlet of the at least two inlets; the second intermediate container of the at least two intermediate containers stores a displacement medium, and a second control valve is provided on the pipeline connecting the second intermediate container to the second inlet of the at least two inlets, and the vacuum pump is connected to the pipeline of the second inlet.

[0022] Accordingly, displacement simulation is performed using the preset experimental parameters and the microfluidic device, including:

[0023] Check the airtightness of the microfluidic device;

[0024] Vacuum the pipelines of the microfluidic device and the microfluidic chip.

[0025] Adjust the temperature control unit to control the temperature of the microfluidic chip to reach the preset temperature;

[0026] Open the first control valve to control the back pressure pump to inject the oil phase sample into the microfluidic chip at a first preset pressure;

[0027] Close the first control valve and the second control valve, set the pressure of the back pressure pump to the second preset pressure, and set the pressure of the injection pump to the third preset pressure;

[0028] The first control valve and the second control valve are opened to conduct a displacement experiment, and the image of the microfluidic chip is acquired in real time in situ by the image acquisition unit as the interface information of the multiphase fluid.

[0029] In some embodiments of this specification, after opening the first control valve and controlling the back pressure pump to inject the oil phase sample at a first preset pressure to saturate the microfluidic chip, the method further includes:

[0030] Close the first control valve and the second control valve, set the pressure of the back pressure pump to the second preset pressure, set the pressure of the injection pump to the fourth preset pressure, the fourth preset pressure is greater than the minimum miscibility pressure between the displacement medium and the oil phase sample, and the third preset pressure is less than the minimum miscibility pressure;

[0031] The first control valve and the second control valve are opened to conduct a displacement experiment, and the image of the microfluidic chip is acquired in real time in situ by the image acquisition unit as the interface information of the multiphase fluid.

[0032] In some embodiments of this specification, the acquired interface information includes in-situ image data of the microfluidic chip under different displacement modes;

[0033] Accordingly, based on multiple interface information and the time corresponding to each interface information, the inter-fracture matrix mobilization parameters of the target reservoir are determined, including:

[0034] Threshold segmentation and noise reduction are performed on each in-situ image data;

[0035] Based on the processed in-situ image data, the sweep area corresponding to each in-situ image data is calculated.

[0036] Based on the swept area corresponding to multiple in-situ image data and the time corresponding to each in-situ image data, the relationship between the sweep efficiency and time under different displacement modes is determined, and the interstitial matrix mobilization parameters are determined based on the relationship.

[0037] The second aspect of this specification provides a device for determining inter-suture matrix mobilization parameters, comprising:

[0038] The first acquisition module is used to acquire the microfluidic chip of the target reservoir and preset experimental parameters. The microfluidic chip includes pores and throats of the matrix and fractures, and the preset experimental parameters include displacement experimental parameters under at least two displacement modes.

[0039] The simulation module is used to build a microfluidic device based on a microfluidic chip and to perform displacement simulation using the preset experimental parameters and the microfluidic device.

[0040] The second acquisition module is used to acquire multiple interface information of the multiphase fluid in the microfluidic chip and the time corresponding to each interface information.

[0041] The determination module is used to determine the inter-fracture matrix mobilization parameters of the target reservoir based on multiple interface information and the time corresponding to each interface information.

[0042] A third aspect of this specification provides an electronic device, comprising: a memory and a processor, wherein the processor and the memory are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to implement the steps of the method described in any of the first aspects.

[0043] A fourth aspect of this specification provides a computer storage medium storing computer program instructions that, when executed by a processor, implement the steps of the method described in any of the first aspects.

[0044] A fifth aspect of this specification provides a computer program product comprising a computer program that, when executed by a processor, implements the steps of the method described in the first aspect.

[0045] Based on the method, apparatus, and device for determining inter-fracture matrix mobilization parameters provided in the embodiments of this specification, the following steps are taken: A microfluidic chip of the target reservoir and preset experimental parameters are acquired. The microfluidic chip includes pores and throats of the matrix and fractures. The preset experimental parameters include displacement experimental parameters under at least two displacement modes. A microfluidic device is built based on the microfluidic chip, and displacement simulation is performed using the preset experimental parameters and the microfluidic device. Multiple interface information of the multiphase fluid within the microfluidic chip and the corresponding time for each interface are acquired. Based on the multiple interface information and the corresponding time for each interface, the inter-fracture matrix mobilization parameters of the target reservoir are determined. This method can simulate the porosity and permeability parameters of unconventional oil reservoirs to the greatest extent possible. Furthermore, by using a microfluidic device equipped with a visual microfluidic chip and preset experimental parameters for displacement simulation, the displacement law of the inter-fracture matrix under the combined action of fractures and matrix, as well as the interaction law between the displacement medium and the oil sample, can be intuitively understood. This reduces experimental costs and improves experimental efficiency. Moreover, based on the multiple interface information obtained from the experimental simulation and the corresponding time for each interface, the inter-fracture matrix mobilization parameters of unconventional oil reservoirs can be determined quickly and accurately. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0047] Figure 1 The diagram shown is a schematic representation of a method for determining interstitial matrix mobilization parameters provided in an embodiment of this specification.

[0048] Figure 2 The diagram shown is a schematic of a microfluidic chip provided in an embodiment of this specification;

[0049] Figure 3 The diagram shown is a schematic of the experimental channel of the microfluidic chip provided in the embodiments of this specification;

[0050] Figure 4 The diagram shown is a schematic of a microfluidic device provided in an embodiment of this specification.

[0051] Figure 5 The diagram shown is a schematic diagram of the gas-liquid interface distribution and fluid saturation at different times for CO2 immiscible and miscible flooding provided in the embodiments of this specification.

[0052] Figure 6 The diagram shown is a schematic diagram of the sweep efficiency of CO2 immiscible and miscible drives at different times provided in the embodiments of this specification.

[0053] Figure 7 The diagram shown is a schematic of a device for determining interstitial matrix mobilization parameters provided in an embodiment of this specification.

[0054] Figure 8 The diagram shown is a schematic of an electronic device provided in an embodiment of this specification. Detailed Implementation

[0055] To enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this application.

[0056] It should be noted that the information and data related to users involved in the embodiments of this specification are all information and data authorized by the user or fully authorized by the relevant parties. Furthermore, the collection, storage, use, processing, transmission, provision, disclosure, and application of the relevant data all comply with relevant laws, regulations, and standards, and necessary confidentiality measures have been taken. They do not violate public order and good morals, and corresponding operation entry points are provided for users or relevant parties to choose to authorize or refuse.

[0057] It should also be noted that in the embodiments of this specification, certain software, components, models and other existing solutions in the industry may be mentioned. These should be regarded as exemplary and are only intended to illustrate the feasibility of implementing the technical solution of this application. However, it does not mean that the applicant has used or necessarily used the solution.

[0058] The method for determining the interstitial matrix mobilization parameters provided in the embodiments of this specification will be described below with reference to the accompanying drawings.

[0059] Figure 1The diagram illustrates a method for determining interstitial matrix utilization parameters provided in an embodiment of this specification. While this specification provides method operation steps or apparatus structures as shown in the following embodiments or figures, the method or apparatus may include more or fewer operation steps or module units, either combined or without inventive effort, based on conventional methods or without requiring creative labor. In steps or structures where there is no logically necessary causal relationship, the execution order of these steps or the module structure of the apparatus is not limited to the execution order or module structure shown in the embodiments or figures of this specification. When the method or module structure is applied in actual devices, servers, or terminal products, it can be executed sequentially or in parallel according to the method or module structure shown in the embodiments or figures (e.g., in a parallel processor or multi-threaded processing environment, or even in a distributed processing or server cluster implementation environment). Figure 1 As shown, it may include:

[0060] S101: Obtain the microfluidic chip of the target reservoir and the preset experimental parameters. The microfluidic chip includes pores and throats of the matrix and fractures. The preset experimental parameters include displacement experimental parameters under at least two displacement modes.

[0061] It is understood that a micro / nanofluidic chip is a chip element fabricated using micro / nano processing technology that can reflect the matrix and fracture characteristics inside a target reservoir, especially the composite structure of nanoscale pore networks and micrometer-scale fractures. Furthermore, micro / nanofluidic chips possess high-temperature and high-pressure resistance, better supporting displacement simulation experiments under the high-temperature and high-pressure environment of the target reservoir. The microfluidic chip in the embodiments of this specification can be a visualized fracture matrix model. Displacement simulation experiments based on this microfluidic model can more intuitively reflect the displacement law under the combined action of fractures and matrix in the target reservoir, as well as the interaction law between the displacement agent and the oil sample or other multi-component mixtures. It is less time-consuming, simpler to operate, and more efficient in data processing.

[0062] S102: Build a microfluidic device based on a microfluidic chip, and use the preset experimental parameters and the microfluidic device to perform displacement simulation.

[0063] It is understandable that a well-constructed microfluidic device can be used for displacement simulation experiments, and can be used for displacement simulation experiments under different displacement modes. Different displacement modes can be classified based on the displacing agent, such as gas drive, water drive, chemical drive, and thermal drive. Different displacement modes can also be classified based on the phase state formed between the same displacing medium and the oil sample being displaced, such as miscible displacement mode and immiscible displacement mode. Different displacement modes can also be displacement modes using at least two displacing agents. Specifically, an experimental procedure can be constructed based on preset experimental parameters before the experiment begins, and then displacement simulation can be performed based on the experimental procedure.

[0064] S103: Obtain multiple interface information of the multiphase fluid within the microfluidic chip and the corresponding time for each interface information.

[0065] It is understood that interface information can reflect the interface distribution information of multiple different phase fluids within a microfluidic chip. These multiphase fluids can include gas and oil, water and oil, or gas, oil, and water. Specifically, the interface information can be in-situ image data of the microfluidic chip acquired through an image acquisition device, or information reflecting the interface distribution of different phase fluids acquired through other methods; this specification does not impose any limitations on this.

[0066] S104: Based on multiple interface information and the time corresponding to each interface information, determine the inter-fractor matrix mobilization parameters of the target reservoir.

[0067] It is understandable that the inter-crack matrix mobilization parameter can be used to characterize the matrix production or displacement effect under the combined action of cracks and matrix, that is, the degree of inter-crack matrix mobilization.

[0068] In some embodiments of this specification, the interstitial matrix mobilization parameters may include at least the swept area, swept coefficient, and swept efficiency. Furthermore, the degree of interstitial matrix mobilization can be characterized by describing the changes in swept area, swept coefficient, and swept efficiency over time at different times and under different displacement modes.

[0069] In the embodiments of this specification, the porosity and permeability parameters of unconventional oil reservoirs can be simulated to the greatest extent. Furthermore, by using a microfluidic device equipped with a visual microfluidic chip and preset experimental parameters for displacement simulation, the displacement law of the inter-fracture matrix under the combined action of fractures and matrix, as well as the interaction law between the displacement medium and the oil sample, can be intuitively understood, reducing experimental costs and improving experimental efficiency. Moreover, based on the multiple interface information obtained from the experimental simulation and the time corresponding to each interface information, the inter-fracture matrix mobilization parameters of unconventional reservoir oil reservoirs can be determined quickly and accurately.

[0070] It is understood that the method for determining the interstitial matrix utilization parameters provided in this application can be applied to electronic devices, which can refer to electronic devices with data computing, processing, and storage capabilities. These electronic devices can be terminals such as PCs (Personal Computers), tablets, smartphones, wearable devices, and intelligent robots; they can also be servers. The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0071] In some embodiments of this specification, the microfluidic chip can be determined by: acquiring geological data of the target reservoir, the geological data including at least well logging data, seismic data, and core data; determining the matrix key parameters and fracture key parameters of the target reservoir based on the geological data; determining the pore characteristics and throat characteristics of the target reservoir based on the matrix key parameters and the fracture key parameters; and etching the microfluidic chip based on the pore characteristics and the throat characteristics.

[0072] In some embodiments of this specification, the key matrix parameters and key fracture parameters may include the equivalent hydraulic radius and tortuosity corresponding to the matrix and fracture, respectively. Based on these key parameters, the porosity and permeability of the fracture and matrix can be determined respectively. Specifically, determining the key matrix parameters and key fracture parameters of the target reservoir based on the geological data may include: determining the matrix porosity, fracture porosity, a first tortuosity and a second equivalent hydraulic radius of the matrix, and a second tortuosity and a second equivalent hydraulic radius of the fracture, based on the geological data; determining the matrix permeability based on the first tortuosity, the first equivalent hydraulic radius, and the matrix porosity; determining the fracture permeability based on the second tortuosity, the second equivalent hydraulic radius, and the fracture porosity; and using the matrix porosity and matrix permeability as key matrix parameters, and the fracture porosity and fracture permeability as key fracture parameters.

[0073] In some embodiments of this specification, both matrix porosity and fracture porosity can be determined using the following formula:

[0074]

[0075] in, It can represent porosity, and can be matrix porosity and fracture porosity.

[0076] Considering that the matrix grate and fracture throat are not strictly circular holes, the grate needs to be equivalent. The equivalent hydraulic radius can be determined by the following formula:

[0077]

[0078] Where r can represent the equivalent hydraulic radius, h can represent the height of the throat, and w can represent the width of the throat.

[0079] Tortuosity is a parameter used to describe the complexity of the fluid flow path in the porous medium of the reservoir. It can be determined by the ratio of the actual flow path length of the fluid in the matrix pores and fracture pores to its straight-line distance. Specifically, it can be determined based on the shape parameters of the matrix pores and fracture pores.

[0080] The matrix permeability and crack permeability can be determined by the following formula:

[0081]

[0082] Where K can represent permeability (which can be matrix permeability and fracture permeability), and τ can represent tortuosity.

[0083] In some embodiments of this specification, the microfluidic chip includes a crack simulated by a first throat and a first pore, and a matrix simulated by a second throat and a second pore, wherein the size of the first throat is larger than the size of the second throat, and the size of the first pore is larger than the size of the second pore; the key parameters of the matrix include matrix porosity and matrix permeability, and the key parameters of the crack include crack porosity and crack permeability.

[0084] In some embodiments of this specification, in order to better reflect the non-uniformity of the target reservoir, the fractures and matrix in the microfluidic chip can be composed of pores and throats of various shapes and sizes, and fractal geometry or randomly distributed pores can be introduced. Furthermore, a composite structure of nanoscale pore networks and micron-scale fractures can be added to simulate the interaction between layers with different permeability.

[0085] In some embodiments of this specification, the crack matrix model corresponding to the microfluidic chip can be referenced. Figure 2 As shown, the model can consist of regular hexagons and circular holes, and can include pores of two diameters and throats of two lengths. Specifically, the model can have a depth of 200 nm. Within the model, the large pore diameter can be 60 μm and the height 4 μm; the small pore diameter can be 12 μm; the crack throat length can be 150 μm, the width 3 μm, and the height 30 nm; and the matrix throat length can be 30 μm, the width 3 μm, and the height 30 nm. Furthermore, Figure 1 The tortuosity of the medium-fracture matrix model can be taken as the eigenvalue of an equilateral triangle, which is 1.13.

[0086] The specific materials used to fabricate the microfluidic chip in the embodiments of this specification may include silicon, pressure-resistant glass, and a specific cleaning solution. The shape, thickness, and dimensions of the glass bonding cover can be customized according to the requirements of the experimental equipment fixtures. The chip model in the embodiments of this specification can have a length and width of 2-3 cm. Furthermore, before glass bonding, the key dimensions and basic optical features of the model can be characterized using atomic force microscopy and optical microscopy, respectively. Temperature and pressure resistance tests can be performed on the model before the experiment to ensure that its tolerance meets the experimental requirements.

[0087] Furthermore, the experimental channels of the fabricated microfluidic chip may include at least two inlets and one outlet, as shown in the reference. Figure 3 As shown, taking a CO2 displacement experiment as an example, the microfluidic chip can include two inlets and one outlet. The two inlets can be connected to CO2 and oil sample respectively, and the outlet can be connected to venting.

[0088] In some embodiments of this specification, the microfluidic chip may further include multiple parallel fracture matrix models. Different fracture matrix models may correspond to different shapes and sizes. The experimental channel of each fracture matrix model may include at least two inlets and one outlet, thereby enabling displacement simulation of reservoirs with different geological characteristics. Alternatively, different fracture matrix models may correspond to the same shape and size. The experimental channel of each fracture matrix model may include at least two inlets and one outlet, thereby enabling displacement simulation of the target reservoir under different displacement modes. By setting multiple parallel fracture matrix models in the microfluidic chip, multiple sets of experiments can be performed simultaneously, improving data acquisition efficiency and providing a more intuitive understanding of the differences in matrix mobilization degree and multiphase fluid interaction patterns under different geological characteristics and / or different displacement modes.

[0089] In some embodiments of this specification, the microfluidic device includes at least two intermediate containers, a back pressure pump, an injection pump, at least two pressure sensors, a chip clamping unit, an image acquisition unit, a vacuum pump, a vent valve, and a temperature control unit; the microfluidic chip is fixed to the chip clamping unit, the microfluidic chip has at least two inlets and outlets, each intermediate container is connected to a corresponding inlet via a pipeline, and at least two pressure sensors are respectively located on the pipelines connecting the intermediate containers to the inlets; the temperature control unit is connected to the chip clamping unit; at least one intermediate container is connected to the injection pump, at least one intermediate container is connected to the back pressure pump, the vacuum pump; and a pipeline is connected to at least one inlet.

[0090] In some embodiments of this specification, the first intermediate container of the at least two intermediate containers stores an identified oil phase sample, and a first control valve is provided on the pipeline connecting the first intermediate container to the first inlet of the at least two inlets; the second intermediate container of the at least two intermediate containers stores a displacement medium, and a second control valve is provided on the pipeline connecting the second intermediate container to the second inlet of the at least two inlets, and the vacuum pump is connected to the pipeline of the second inlet.

[0091] Specifically, oil phase samples can be obtained by acquiring and analyzing the geological data and reservoir samples of the target reservoir, and then performing attribute analysis on the reservoir samples to obtain attribute analysis data. Based on the geological data and the attribute analysis data of the reservoir samples, a matching oil phase sample is prepared, mixed with a standard reagent, and stored in a first intermediate container. In other embodiments, reservoir samples corresponding to the formation of the target reservoir can be directly stored in the first intermediate container as oil phase samples.

[0092] Furthermore, the displacement simulation using the preset experimental parameters and the microfluidic device may include: checking the airtightness of the microfluidic device; evacuating the pipelines and the microfluidic chip of the microfluidic device; adjusting the temperature control unit to control the temperature of the microfluidic chip to reach a preset temperature; opening the first control valve to control the back pressure pump to inject an oil phase sample at a first preset pressure to saturate the microfluidic chip; closing the first and second control valves, setting the pressure of the back pressure pump to a second preset pressure, and setting the pressure of the injection pump to a third preset pressure; opening the first and second control valves to conduct a displacement experiment, and using the image acquisition unit to acquire images of the microfluidic chip in real time in situ as interface information of the multiphase fluid. It can be understood that the above experimental steps can realize a displacement experiment in an immiscible mode.

[0093] In some embodiments of this specification, after opening the first control valve and controlling the back pressure pump to inject an oil phase sample at a first preset pressure to saturate the microfluidic chip, the process may further include: closing the first and second control valves; setting the pressure of the back pressure pump to a second preset pressure; setting the pressure of the injection pump to a fourth preset pressure, wherein the fourth preset pressure is greater than the minimum miscibility pressure between the displacement medium and the oil phase sample, and the third preset pressure is less than the minimum miscibility pressure; opening the first and second control valves to perform a displacement experiment; and using the image acquisition unit to acquire images of the microfluidic chip in real time in situ as interface information of the multiphase fluid. It can be understood that the above experimental steps can realize a displacement experiment in a miscible mode.

[0094] For details, please refer to Figure 4 As shown, the microfluidic device may include two intermediate containers with a pressure resistance of more than 20 MPa, a fluid injection system, an image acquisition system, an image processing system, a temperature control system, a fluid depressurization and venting system and a vacuum system, and a specific clamp that conforms to the model size.

[0095] The fluid injection system may include a dual-cylinder constant pressure and constant speed injection pump, a single-cylinder constant pressure and constant speed injection pump, an intermediate container, an inlet pressure sensor, and an outlet pressure sensor.

[0096] The image acquisition system may include an optical microscope with a fluorescence field, and the image processing system may include experimental image capture software and a computer.

[0097] Micro-nano fluid control chips can be housed inside a temperature control system and directly connected to a temperature sensor. The temperature control system may include a chip holder heating bath, a constant temperature water bath / oil bath, an insulating rubber tube, a temperature control medium, and an external temperature sensor.

[0098] The outlet of the injection pump can be connected to the inlet of the intermediate container placed in the oven. The intermediate container is connected to the inlet of the chip holder. The outlet of the intermediate container is connected to a pressure sensor and a data processing device (such as a computer). The outlet of the chip holder is connected to a pressure sensor and the intermediate container and is connected to a computer. The bottom of the chip holder is connected to an external temperature sensor. The heating tanks on both sides are connected to external heat insulation rubber tubes. The vent valve and vacuum pump are connected to the inlet pipeline.

[0099] When installing the microfluidic chip, the chip model is installed strictly according to the principle of diagonal uniform force, and sapphire glass is installed on top to form a seal.

[0100] Furthermore, combined Figure 4 Taking CO2 displacement and displacement modes including miscible and immiscible displacement as an example, the process of displacement simulation using the preset experimental parameters and microfluidic device is introduced.

[0101] After setting up Figure 4 After the microfluidic device shown, its airtightness can be checked. Specifically, several MPa of CO2 can be loaded into one of the intermediate containers, and then the CO2 can be naturally injected into the pipeline to build up pressure and the initial pressure can be recorded. After leaving it for a first preset time (e.g., 24 hours), the gas pressure in the pipeline can be recorded. If the pressure before and after is basically consistent, the device can be considered to have good sealing performance.

[0102] In this specification, the embodiments are for the purpose of... Figure 4 The device allows for direct observation of the mechanism by which CO2 mobilizes oil samples under the combined action of micro-nano cracks and the matrix. Before the experiment, to distinguish between the gas and liquid phases, the oil phase can be fluorescently stained with an oil-soluble fluorescent agent at a certain ratio and then placed in an intermediate container. After cleaning the tubing with anhydrous ethanol and deionized water, the airtightness is checked, and then the tubing is flushed with sufficient CO2. The entire tubing and chip are then evacuated for a second preset time (e.g., 4 hours) to avoid the influence of air.

[0103] Further, the experimental temperature of the water bath was set to a preset temperature, and the temperature sensor connected to the chip holder was allowed to reach the preset temperature and then equilibrate for a few minutes. Subsequently, the valve of the intermediate container corresponding to the oil sample was opened, ensuring the valve and pipeline of the intermediate container were unobstructed, and the back pressure pump injected oil sample at low pressure to saturate the chip. The experiment could begin once the imaging system observed that the chip was completely filled with oil sample.

[0104] For immiscible displacement experiments, with both inlet and outlet valves closed, the injection pump pressure and back pressure pump pressure can be set below the miscibility pressure (the miscibility pressure between the oil phase and CO2) while ensuring a certain displacement pressure differential. For miscible displacement experiments, the displacement pressure must be above the minimum miscibility pressure, and both the injection pump and back pressure pump can be selected in constant pressure mode. After the pressure is set and stabilized, the fluid flow process is imaged in real-time using a fluorescence microscope at a rate of 2 frames per second. Simultaneously, the inlet valve and back pressure valve are opened, the displacement pressure differential stabilizes rapidly, and displacement begins. The pressure differential is monitored in real-time until the experiment ends.

[0105] Furthermore, after the experiment, the model needs to be soaked in petroleum ether and anhydrous ethanol in sequence, cleaned with ultrasonic waves, and dried at above 100°C for several hours in preparation for the next experiment.

[0106] In some embodiments of this specification, the acquired interface information includes in-situ image data of the microfluidic chip under different displacement modes.

[0107] Furthermore, determining the inter-fracture matrix mobilization parameters of the target reservoir based on multiple interface information and the time corresponding to each interface information may include: performing threshold segmentation and noise reduction processing on each in-situ image data; calculating the sweep area corresponding to each in-situ image data based on the processed in-situ image data; determining the change relationship between the sweep efficiency and time under different displacement modes based on the sweep area corresponding to multiple in-situ image data and the time corresponding to each in-situ image data, and determining the inter-fracture matrix mobilization parameters based on the change relationship.

[0108] Specifically, during the experiment, real-time in-situ images can be acquired using a high-speed camera, pressure data can be collected using a pressure sensor, and the image data processing can be implemented at the end of the experiment or during the experiment.

[0109] In some embodiments of this specification, images captured by a high-speed camera can be imported into image processing software for threshold segmentation and noise reduction. Then, based on the processing results, the gas-liquid interaction results can be further analyzed, the threshold segmentation results can be calculated, the sweep area at different times can be determined, and the change relationship of the sweep coefficient with time under different displacement modes can be obtained.

[0110] In some embodiments of this specification, an image recognition model for noise reduction and segmentation of different phase fluids can be trained based on historical image data, and the acquired in-situ image data can be processed by an image processing model. Then, the matrix mobilization parameters between the machine seams can be calculated based on the processing results to improve the accuracy and efficiency of the sweep area calculation.

[0111] In some embodiments of this specification, based on the above-mentioned displacement simulation experiment based on microfluidic devices, computational fluid dynamics simulation can be combined to map the experimental image data into the numerical model in real time, realizing "experiment-simulation" dual-drive analysis, so as to analyze the micro-flow mechanism more accurately.

[0112] In some embodiments of this specification, the microfluidic chip can also be scanned three-dimensionally using other devices to obtain three-dimensional multiphase fluid interface information in the microfluidic chip and construct a three-dimensional structural model corresponding to the microfluidic chip. This allows for the calculation of the swept volume, the swept volume coefficient, and the swept efficiency, etc., to construct a three-dimensional dynamic parameter model and more comprehensively evaluate the sweep efficiency in all directions.

[0113] This specification also provides a visualization model design and displacement simulation method for characterizing the degree of inter-crack matrix mobilization, as described above. Figure 4 The microfluidic device described in this specification, taking CO2 displacement with displacement modes including miscible and immiscible displacement as an example, can, to a certain extent, replace unconventional core displacement experiments through the methods described in the embodiments of this specification, effectively compensating for the difficulty in conducting indoor micro- and nano-scale gas drive experiments. The specific implementation steps of this method are as follows:

[0114] Step 1: Design and etch the microfluidic chip. Specifically, this involves designing the main pores and channels of the matrix and fissures, determining parameters such as equivalent permeability and porosity, and designing using 3D software, such as... Figure 2 The fracture matrix model shown was tested, along with its temperature and pressure resistance and key feature dimensions. Geological data corresponding to the target reservoir can be incorporated into the model design process.

[0115] Specifically, step 1 may include:

[0116] 1) Design using drawing software, such as Figure 2 The crack matrix model is defined here. Figure 2 In the model, the diameter of the macropores is 60 μm, the diameter of the micropores is 12 μm, the length of the crack gill is 150 μm, and the length of the matrix gill is 30 μm.

[0117] 2) Calculate key parameters of the model such as matrix porosity, equivalent hydraulic radius, and permeability. The model consists of regular hexagons and circular holes, and the porosity and permeability of the model can be quantified by parameters such as equivalent hydraulic radius and tortuosity. Taking the model case with a depth of 200 nm in this experiment as an example, combined with the formulas (1) to (3) above, the matrix porosity can be calculated to be 9.81%, the fracture porosity to be 11.64%, the equivalent hydraulic radius to be 0.188, the tortuosity to be taken as the eigenvalue of an equilateral triangle to be 1.13, the matrix permeability to be 0.38 mD, and the fracture permeability to be 0.46 mD.

[0118] 3) The specific materials used in the preparation include silicon, pressure-resistant glass, and a specific cleaning solution; the shape, thickness, and dimensions of the glass bonding cover can be customized according to the requirements of the experimental equipment fixtures; in this embodiment, the chip model has an external length and width of 2-3 cm.

[0119] 4) Before glass bonding, the key dimensions and basic optical features of the model were characterized by atomic force microscopy and optical microscopy, respectively. Temperature and pressure resistance tests were performed on the model before the experiment to prove that the model's tolerance met the experimental requirements.

[0120] Step 2: Set up the experimental equipment according to the experimental requirements, check the airtightness of the apparatus, and establish the corresponding experimental methods.

[0121] Specifically, step 2 may include: setting up the experimental equipment according to the procedure, checking the airtightness of the apparatus, and establishing the experimental method. The experimental apparatus mainly includes: two intermediate containers with a pressure resistance of over 20 MPa, a fluid injection system, an image acquisition system, an image processing system, a temperature control system, a fluid depressurization and venting system and a vacuum system, and specific clamps conforming to the model dimensions. The detailed setup procedure and experimental method are as follows:

[0122] 1) Experimental setup: The high-pressure intermediate container is connected to the inlet of the chip holder, and the outlet of the high-pressure container is connected to a pressure sensor and a computer. The fluid injection system includes a high-pressure injection system comprising a dual-cylinder constant-pressure and constant-speed injection pump, a single-cylinder constant-pressure and constant-speed injection pump, a high-pressure intermediate container, an inlet pressure sensor, and an outlet pressure sensor. The injection rate of the dual-cylinder constant-pressure and constant-speed injection pump is 0.0001-15.0000 ml / min, and the pressure is 0.01-72.41 MPa. The injection rate of the single-cylinder constant-pressure and constant-speed backpressure injection pump is 0.001-10.000 ml / min, and the pressure is 0.001-75 MPa. The inlet pressure sensor has a detection accuracy of 0.01 MPa and a detection pressure range of 0.01-50.00 MPa. The outlet pressure sensor has a detection accuracy of 0.01 MPa and a detection pressure range of 0.01-50.00 MPa. The image acquisition system includes an optical microscope, a camera, and a computer. The image acquisition system includes an LED light source, a high-power microscope, a high-speed camera, and a computer. The LED light source is used to provide an excitation light source. The microscope is coupled to the high-speed camera and connected to the computer to record image sequences in real time. The image acquisition system is set above the chip holder and its position is adjusted by a three-axis slide for focusing. The micro / nanofluidic chip is housed within the temperature control system and directly connected to a temperature sensor. The temperature control system includes a chip holder heating bath, a constant-temperature water / oil bath, insulating rubber tubing, a temperature-controlling medium, and an external temperature sensor. The temperature sensor has a detection accuracy of 0.1℃ and a detection temperature range of -50.0℃ to 200.0℃. The outlet of the constant-pressure, constant-speed pump is connected to the inlet of a high-pressure intermediate container placed in an oven. The outlet of the chip holder is connected to a pressure sensor and the high-pressure intermediate container, and is also connected to a computer. An external temperature sensor is located below the chip holder, and insulating rubber tubing is connected to the heating baths on both sides. An vent valve and a vacuum pump are connected to the inlet pipeline. The assembled experimental setup is as follows: Figure 4 As shown.

[0123] 2) Device airtightness check: After setting up the experimental device according to the above-mentioned setup procedure, put several MPa of CO2 into one of the intermediate containers, then naturally inject CO2 into the pipeline to pressurize and record the initial pressure. After 24 hours, record the gas pressure in the pipeline. If the pressure before and after is basically the same, the microfluidic device can be considered to have good sealing performance.

[0124] 3) Experimental Method: To clarify the mechanism of CO2 mobilization of oil samples under the combined action of micro / nano cracks and matrix, the gas and liquid phases can be distinguished. Specifically, an oil-soluble fluorescent agent is used to fluoresce the oil phase at a certain ratio, which is then placed in an intermediate container. After cleaning the tubing with anhydrous ethanol and deionized water and checking for airtightness, the tubing is flushed with sufficient CO2. The entire tubing and chip are then evacuated for 4 hours to avoid the influence of air. The experimental temperature of the water bath is set, and the temperature sensor connected to the chip holder is allowed to reach the target temperature and equilibrate for a few minutes. Subsequently, the valve of the intermediate container connected to the back pressure pump is opened, ensuring the valve and tubing are unobstructed, and the back pressure pump injects oil sample at low pressure to saturate the chip. The experiment begins after the microfluidic chip is observed to be filled with oil sample through the imaging system.

[0125] For immiscible displacement experiments, with both inlet and outlet valves closed, the injection and back pressures are set below the miscibility pressure while maintaining a certain displacement pressure differential. For miscible displacement experiments, the displacement pressure must be above the minimum miscibility pressure, and both the injection and back pressure pumps are selected in constant pressure mode. After the pressure stabilizes, real-time in-situ imaging of the fluid flow process can be performed using a fluorescence microscope, recording at a rate of 2 frames per second. Simultaneously, the valves corresponding to the injection and back pressure pumps are opened, the displacement pressure differential stabilizes rapidly, and displacement begins. The pressure differential is monitored in real time until the experiment ends.

[0126] Step 3: Install the chip model according to the experimental requirements and prepare for the experiment.

[0127] Specifically, the microfluidic chip can be installed according to the principle of diagonal uniform force, and a sapphire glass is installed on top of it to form a seal.

[0128] Step 4: Saturate the chip model and begin the gas-driven experiment.

[0129] Specifically, before saturating the chip, check the airtightness of the device, and after evacuating the chip model for 2 hours, use a back pressure pump to push the intermediate container to saturate the microfluidic chip at low pressure. After saturating the microfluidic chip, a sufficient amount of CO2 needs to be injected into the intermediate container.

[0130] Step 5: After the experiment, clean the experimental equipment and model.

[0131] Specifically, after the experiment, the microfluidic chip can be soaked in petroleum ether and anhydrous ethanol in sequence, cleaned with ultrasonic waves, and then dried at above 100°C for several hours for use in the next experiment.

[0132] Step 6: Process the experimental data, quantify the swept area and mobilization of the inter-crack matrix, and calculate the swept efficiency at different times.

[0133] Specifically, images captured by high-speed cameras can be imported into image processing software for threshold segmentation and noise reduction, and the gas-liquid interaction results can be further analyzed. Visualized images of the gas-liquid interface distribution and fluid saturation at different times during CO2 immiscible and miscible displacement in a 200nm crack matrix model can be obtained as follows: Figure 5 As shown. Figure 5 Images (1) to (6) show the gas-liquid interface distribution and fluid saturation at various times under CO2 miscible displacement in the 200 nm crack matrix model. Figure 5 Images (7) to (12) show the gas-liquid interface distribution and fluid saturation at various times under CO2 immiscible displacement in the 200 nm crack matrix model. Further, the threshold segmentation results can be calculated to determine the swept area at different times, obtaining the relationship between the swept efficiency and time under different displacement modes. (See reference...) Figure 6 As shown.

[0134] The microfluidic device and displacement simulation method described in this specification can, to a certain extent, replace unconventional core displacement experiments, effectively compensating for the difficulty in conducting indoor micro- and nano-scale gas drive experiments. Furthermore, the matrix permeability corresponding to the microfluidic chip in this specification is approximately 0.01 mD, and the average coordination number of the pores is 3, which can simulate the porosity and permeability parameters of unconventional reservoirs to the greatest extent. The method described in this specification can obtain the displacement law of the inter-fracture matrix under the combined action of fractures and matrix, as well as the interaction law between CO2 and oil samples (or multi-component mixtures), which can greatly reduce time costs, is simple to operate, facilitates experimental data acquisition, and makes data processing more efficient.

[0135] Based on the method for determining interstitial matrix utilization parameters described above, one or more embodiments of this specification also provide an apparatus for determining interstitial matrix utilization parameters. The apparatus may include devices (including distributed systems), software (applications), modules, plug-ins, servers, clients, etc., using the methods described in the embodiments of this specification, combined with necessary implementation hardware. Based on the same innovative concept, the apparatuses in one or more embodiments provided in this specification are as described in the following embodiments. Since the implementation schemes and methods for solving the problem are similar, the implementation of specific apparatuses in the embodiments of this specification can refer to the implementation of the foregoing methods, and repeated details will not be elaborated further. As used below, the terms "unit" or "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the apparatuses described in the following embodiments are preferably implemented in software, hardware implementations, or combinations of software and hardware, are also possible and contemplated. Figure 7 The diagram shown is a schematic representation of a device for determining interstitial matrix mobilization parameters provided in an embodiment of this specification. Figure 7As shown, the device 700 for determining the interstitial matrix mobilization parameters may include:

[0136] The first acquisition module 701 is used to acquire the microfluidic chip of the target reservoir and preset experimental parameters. The microfluidic chip includes pores and throats of the matrix and fractures, and the preset experimental parameters include displacement experimental parameters under at least two displacement modes.

[0137] The simulation module 702 is used to build a microfluidic device based on a microfluidic chip and to perform displacement simulation using the preset experimental parameters and the microfluidic device.

[0138] The second acquisition module 703 is used to acquire multiple interface information of the multiphase fluid in the microfluidic chip and the time corresponding to each interface information.

[0139] The determination module 704 is used to determine the inter-fractor mobilization parameters of the target reservoir based on multiple interface information and the time corresponding to each interface information.

[0140] In some embodiments of this specification, the microfluidic chip can be determined by: acquiring geological data of the target reservoir, the geological data including at least well logging data, seismic data, and core data; determining the matrix key parameters and fracture key parameters of the target reservoir based on the geological data; determining the pore characteristics and throat characteristics of the target reservoir based on the matrix key parameters and the fracture key parameters; and etching the microfluidic chip based on the pore characteristics and the throat characteristics.

[0141] In some embodiments of this specification, the microfluidic chip may include a crack simulated by a first throat and a first pore, and a matrix simulated by a second throat and a second pore, wherein the size of the first throat is larger than the size of the second throat, and the size of the first pore is larger than the size of the second pore; the key parameters of the matrix include matrix porosity and matrix permeability, and the key parameters of the crack include crack porosity and crack permeability.

[0142] In some embodiments of this specification, the microfluidic device may include at least two intermediate containers, a back pressure pump, an injection pump, at least two pressure sensors, a chip clamping unit, an image acquisition unit, a vacuum pump, a vent valve, and a temperature control unit; the microfluidic chip is fixed to the chip clamping unit, the microfluidic chip has at least two inlets and outlets, each intermediate container is connected to a corresponding inlet via a pipeline, and at least two pressure sensors are respectively located on the pipelines connecting the intermediate containers to the inlets; the temperature control unit is connected to the chip clamping unit; at least one intermediate container is connected to the injection pump, at least one intermediate container is connected to the back pressure pump, the vacuum pump; and a pipeline is connected to at least one inlet.

[0143] In some embodiments of this specification, the first intermediate container of the at least two intermediate containers stores an identified oil phase sample, and a first control valve is provided on the pipeline connecting the first intermediate container to the first inlet of the at least two inlets; the second intermediate container of the at least two intermediate containers stores a displacement medium, and a second control valve is provided on the pipeline connecting the second intermediate container to the second inlet of the at least two inlets, and the vacuum pump is connected to the pipeline of the second inlet.

[0144] Furthermore, when the simulation module 702 performs displacement simulation using the preset experimental parameters and the microfluidic device, it can specifically be used to: check the airtightness of the microfluidic device; evacuate the pipelines and the microfluidic chip of the microfluidic device; adjust the temperature control unit to control the temperature of the microfluidic chip to reach a preset temperature; open the first control valve to control the back pressure pump to inject an oil phase sample at a first preset pressure to saturate the microfluidic chip; close the first control valve and the second control valve, set the pressure of the back pressure pump to a second preset pressure, and set the pressure of the injection pump to a third preset pressure; open the first control valve and the second control valve to perform a displacement experiment, and acquire images of the microfluidic chip in real time in situ through the image acquisition unit as interface information of the multiphase fluid.

[0145] In some embodiments of this specification, after the simulation module 702 opens the first control valve and controls the back pressure pump to inject the oil phase sample at a first preset pressure to saturate the microfluidic chip, it can also be used to: close the first control valve and the second control valve; set the pressure of the back pressure pump to a second preset pressure; set the pressure of the injection pump to a fourth preset pressure, wherein the fourth preset pressure is greater than the minimum miscibility pressure between the displacement medium and the oil phase sample, and the third preset pressure is less than the minimum miscibility pressure; open the first control valve and the second control valve to perform a displacement experiment, and acquire images of the microfluidic chip in real time in situ through the image acquisition unit as interface information of the multiphase fluid.

[0146] In some embodiments of this specification, the acquired interface information includes in-situ image data of the microfluidic chip under different displacement modes. Accordingly, the determining module 704 can be specifically used to: perform threshold segmentation and noise reduction processing on each in-situ image data; calculate the sweep area corresponding to each in-situ image data based on the processed in-situ image data; determine the change relationship between the sweep efficiency and time under different displacement modes based on the sweep area corresponding to multiple in-situ image data and the time corresponding to each in-situ image data, and determine the inter-slit matrix mobilization parameters based on the change relationship.

[0147] The descriptions and functions of the above modules can be understood by referring to the section on determining the parameters of interstitial matrix utilization, and will not be repeated here.

[0148] This application also provides an electronic device, such as... Figure 8 As shown, the electronic device may include a processor 801 and a memory 802, wherein the processor 801 and the memory 802 may be connected via a bus or other means. Figure 8 Taking the example of a connection between China and Israel via a bus.

[0149] Processor 801 can be a Central Processing Unit (CPU). Processor 801 can also be 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, or combinations of the above types of chips.

[0150] The memory 802, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the method for determining interstitial matrix mobilization parameters in this embodiment of the invention (e.g., Figure 7 The first acquisition module 701, simulation module 702, second acquisition module 703, and determination module 704 are shown. The processor 801 executes various functional applications and data processing by running non-transitory software programs, instructions, and modules stored in the memory 802, thereby realizing the method for determining the interstitial matrix mobilization parameters in the above method embodiments.

[0151] The memory 802 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created by the processor 801, etc. Furthermore, the memory 802 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 802 may optionally include memory remotely located relative to the processor 801, and these remote memories may be connected to the processor 801 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0152] The one or more modules are stored in the memory 802, and when executed by the processor 801, the following method for determining interstitial matrix mobilization parameters is performed:

[0153] A microfluidic chip for the target reservoir and preset experimental parameters are obtained. The microfluidic chip includes pores and throats of the matrix and fractures. The preset experimental parameters include displacement experimental parameters for at least two displacement modes. A microfluidic device is built based on the microfluidic chip, and displacement simulation is performed using the preset experimental parameters and the microfluidic device. Multiple interface information of the multiphase fluid within the microfluidic chip and the corresponding time for each interface are obtained. Based on the multiple interface information and the corresponding time for each interface, the inter-fracture matrix mobilization parameters of the target reservoir are determined.

[0154] The specific details of the aforementioned electronic device can be understood by referring to the relevant descriptions and effects in the above method embodiments, and will not be repeated here.

[0155] This specification also provides a computer storage medium storing computer program instructions, which, when executed, implement the steps of the method for determining the interstitial matrix mobilization parameters described above.

[0156] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium can also include combinations of the above types of memory.

[0157] The various embodiments in this specification are described in a progressive manner. For the same or similar parts between the various embodiments, please refer to each other. The focus of each embodiment is to describe the differences from other embodiments.

[0158] The systems, devices, modules, or units described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions.

[0159] For ease of description, the above devices are described separately by function as various units. Of course, in implementing this application, the functions of each unit can be implemented in one or more software and / or hardware.

[0160] As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute certain parts of the methods of various embodiments of this application.

[0161] This application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc.

[0162] This application can be described in the general context of computer-executable instructions, such as program modules, that are executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform a specific task or implement a specific abstract data type. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0163] Although this application has been described through embodiments, those skilled in the art will know that this application has many modifications and variations without departing from the spirit of this application, and it is intended that the appended claims cover such modifications and variations without departing from the spirit of this application.

Claims

1. A method for determining inter-crack matrix mobilization parameters, characterized in that, include: The microfluidic chip of the target reservoir and the preset experimental parameters are obtained. The microfluidic chip includes pores and throats of the matrix and fractures. The preset experimental parameters include displacement experimental parameters under at least two displacement modes. A microfluidic device was built based on a microfluidic chip, and displacement simulation was performed using the preset experimental parameters and the microfluidic device. Acquire multiple interface information of multiphase fluid within a microfluidic chip and the corresponding time for each interface; Based on multiple interface information and the time corresponding to each interface information, the inter-fractory matrix mobilization parameters of the target reservoir are determined.

2. The method for determining the inter-slit matrix mobilization parameters according to claim 1, characterized in that, The microfluidic chip is determined in the following manner: Obtain geological data of the target reservoir, including at least well logging data, seismic data, and core data; Based on the geological data, determine the key matrix parameters and key fracture parameters of the target reservoir; Based on the matrix key parameters and the fracture key parameters, the pore characteristics and throat characteristics of the target reservoir are determined; The microfluidic chip is obtained by etching based on the pore features and the throat features.

3. The method for determining the inter-slit matrix mobilization parameters according to claim 2, characterized in that, The microfluidic chip includes a crack simulated by a first throat and a first pore, and a matrix simulated by a second throat and a second pore, wherein the size of the first throat is larger than the size of the second throat, and the size of the first pore is larger than the size of the second pore. The key parameters of the matrix include matrix porosity and matrix permeability, and the key parameters of the fracture include fracture porosity and fracture permeability.

4. The method for determining the inter-slit matrix mobilization parameters according to claim 1, characterized in that, The microfluidic device includes at least two intermediate containers, a back pressure pump, an injection pump, at least two pressure sensors, a chip clamping unit, an image acquisition unit, a vacuum pump, an exhaust valve, and a temperature control unit. The microfluidic chip is fixed to the chip clamping part. The microfluidic chip has at least two inlets and outlets. Each intermediate container is connected to the corresponding inlet through a pipeline. At least two pressure sensors are respectively installed on the pipeline connecting the intermediate container and the inlet. The temperature control part is connected to the chip clamping part. At least one intermediate container is connected to the injection pump, at least one intermediate container is connected to the back pressure pump, the vacuum pump; and a pipeline is connected to at least one inlet.

5. The method for determining the inter-slit matrix mobilization parameters according to claim 4, characterized in that, The first intermediate container of the at least two intermediate containers stores the identified oil phase sample, and a first control valve is provided on the pipeline between the first intermediate container and the first inlet of the at least two inlets; the second intermediate container of the at least two intermediate containers stores the displacement medium, and a second control valve is provided on the pipeline between the second intermediate container and the second inlet of the at least two inlets, and the vacuum pump is connected to the pipeline of the second inlet. Accordingly, displacement simulation is performed using the preset experimental parameters and the microfluidic device, including: Check the airtightness of the microfluidic device; Vacuum the pipelines of the microfluidic device and the microfluidic chip. Adjust the temperature control unit to control the temperature of the microfluidic chip to reach the preset temperature; Open the first control valve to control the back pressure pump to inject the oil phase sample into the microfluidic chip at a first preset pressure; Close the first control valve and the second control valve, set the pressure of the back pressure pump to the second preset pressure, and set the pressure of the injection pump to the third preset pressure; The first control valve and the second control valve are opened to conduct a displacement experiment, and the image of the microfluidic chip is acquired in real time in situ by the image acquisition unit as the interface information of the multiphase fluid.

6. The method for determining the inter-slit matrix mobilization parameters according to claim 5, characterized in that, After opening the first control valve and controlling the back pressure pump to inject the oil phase sample at a first preset pressure to saturate the microfluidic chip, the system further includes: Close the first control valve and the second control valve, set the pressure of the back pressure pump to the second preset pressure, set the pressure of the injection pump to the fourth preset pressure, the fourth preset pressure is greater than the minimum miscibility pressure between the displacement medium and the oil phase sample, and the third preset pressure is less than the minimum miscibility pressure; The first control valve and the second control valve are opened to conduct a displacement experiment, and the image of the microfluidic chip is acquired in real time in situ by the image acquisition unit as the interface information of the multiphase fluid.

7. The method for determining the inter-slit matrix mobilization parameters according to claim 1, characterized in that, The acquired interface information includes in-situ image data of the microfluidic chip under different displacement modes; Accordingly, based on multiple interface information and the time corresponding to each interface information, the inter-fracture matrix mobilization parameters of the target reservoir are determined, including: Threshold segmentation and noise reduction are performed on each in-situ image data; Based on the processed in-situ image data, the sweep area corresponding to each in-situ image data is calculated. Based on the swept area corresponding to multiple in-situ image data and the time corresponding to each in-situ image data, the relationship between the sweep efficiency and time under different displacement modes is determined, and the interstitial matrix mobilization parameters are determined based on the relationship.

8. A device for determining the parameters of inter-slit matrix mobilization, characterized in that, include: The first acquisition module is used to acquire the microfluidic chip of the target reservoir and preset experimental parameters. The microfluidic chip includes pores and throats of the matrix and fractures, and the preset experimental parameters include displacement experimental parameters under at least two displacement modes. The simulation module is used to build a microfluidic device based on a microfluidic chip and to perform displacement simulation using the preset experimental parameters and the microfluidic device. The second acquisition module is used to acquire multiple interface information of the multiphase fluid in the microfluidic chip and the time corresponding to each interface information. The determination module is used to determine the inter-fracture matrix mobilization parameters of the target reservoir based on multiple interface information and the time corresponding to each interface information.

9. An electronic device, characterized in that, include: A memory and a processor, the processor and the memory being communicatively connected to each other, the memory storing computer instructions, the processor executing the computer instructions to implement the steps of the method according to any one of claims 1 to 7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer program instructions, which, when executed by a processor, implement the steps of the method according to any one of claims 1 to 7.

Images