Air foam flooding effect evaluation system based on injection-production well group connectivity analysis

Abstract

The present application relates to the field of oil production, and more particularly to an air foam flooding effect evaluation system based on injection-production well group connectivity analysis, the system comprising: a data acquisition module for acquiring reserve representation data, reservoir structure data and air foam flooding injection-production data corresponding to different reservoirs of a target reservoir; a reservoir feature analysis module for analyzing the reserve contribution of different reservoirs and constructing an effective connectivity matrix between adjacent reservoirs; a degradation feature analysis module for analyzing the connectivity degradation features of different reservoirs; a decay feature analysis module for analyzing the vertical sweep efficiency decay features between different reservoirs and the main oil layer; an effect early warning module for analyzing the changes in the cooperative displacement ability of different reservoirs to the main oil layer during air foam flooding and early warning of the air foam flooding effect. The present application effectively guarantees the cooperative displacement effect of air foam flooding and the overall recovery of the reservoir by early warning of the air foam flooding effect deterioration trend.

Description

Technical Field

[0001] This invention relates to the field of oil production, and in particular to an air foam flooding effect evaluation system based on the connectivity analysis of injection and production well groups. Background Technology

[0002] Air foam flooding is a tertiary oil displacement technology for improving oil recovery. Its principle is to improve the phase relationship between crude oil and the reservoir by injecting air-containing foam into the underground reservoir, thereby increasing oil recovery efficiency. Air foam flooding combines the advantages of both air flooding and foam flooding. By alternately injecting air and foam liquid into the reservoir, a foam system is formed within the reservoir to achieve profile control, flow control, increased swept volume, and improved oil washing efficiency. Air replenishes formation energy and participates in low-temperature oxidation reactions, while the foam system reduces fluid mobility, improves water absorption profiles, and enhances displacement uniformity, thus effectively improving oil recovery.

[0003] However, existing air foam flooding effectiveness evaluation systems assume that the reservoir structure remains unchanged during the displacement process. In actual air foam flooding, because air is a non-wetting phase, after alternating injection of air and foam liquid, the gas phase is prone to stagnation and trapping in dead pores, pore corners, and low-connectivity pore throat areas. This stagnation accumulates with each alternation, weakening the interlayer fluid exchange capacity and vertical permeability. Especially in low-permeability, highly heterogeneous reservoirs, the trapping gas resistance effect is more likely to weaken the effective flow connection between some low-permeability reservoirs and the main reservoir, or even interrupt interlayer connectivity. This causes air foam flooding to gradually degenerate from multi-layer synergistic displacement to single-layer displacement of local high-permeability layers, resulting in a reduced air foam flooding coverage, decreased injection capacity, and deteriorated oil displacement effect.

[0004] Therefore, existing technologies neglect the impact of the trapping gas resistance effect formed by the long-term alternating injection of air and foam liquid on the reservoir connectivity during air foam flooding. This makes it difficult to accurately evaluate the dynamic evolution characteristics of the effective flow structure of the reservoir and the changes in the synergistic displacement capacity of different reservoirs on the main oil layer during air foam flooding, resulting in insufficient reliability in the evaluation of air foam flooding effectiveness. Summary of the Invention

[0005] To overcome the defects and shortcomings of existing technologies, this invention provides an air foam flooding effect evaluation system based on the connectivity analysis of injection and production well groups. By analyzing the vertical sweep capacity attenuation characteristics between different reservoirs and the main oil layer, and providing early warning of the deterioration trend of air foam flooding effect, it effectively ensures the synergistic displacement effect of air foam flooding and the overall oil recovery rate of the reservoir.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] In a first aspect, the present invention provides an air foam flooding effect evaluation system based on the connectivity analysis of injection-production well groups, comprising: The data acquisition module is used to acquire reserve characterization data, reservoir structure data, and air foam flooding injection and production data corresponding to different reservoirs in the target oil reservoir. The reservoir characteristic analysis module is used to analyze the reserve contribution of different reservoirs and determine the main oil layer based on the reserve characterization data, and to construct an effective connectivity matrix between adjacent reservoirs based on the reservoir structure data. The degradation feature analysis module is used to analyze the trap gas resistance effect during the alternating injection of air and foam liquid based on air foam flooding injection and production data, determine the degree of trap gas resistance accumulation in each reservoir under different alternation cycles, and analyze the connectivity degradation features of different reservoirs. The attenuation characteristic analysis module is used to correct the effective connectivity matrix between adjacent reservoirs based on connectivity degradation characteristics, and to analyze the vertical sweep capacity attenuation characteristics between different reservoirs and the main oil layer based on the corrected effective connectivity matrix. The effect early warning module is used to analyze the changes in the synergistic displacement capacity of different reservoirs on the main oil layer during the air foam flooding process, based on the reserve contribution corresponding to different reservoirs and the vertical sweep capacity attenuation characteristics between different reservoirs and the main oil layer, and to provide early warning of the air foam flooding effect.

[0008] Furthermore, the reservoir characteristic analysis module determines the main oil layer based on the reserve characterization data corresponding to different reservoirs, including: Based on the reserve characterization data, the effective oil storage volume corresponding to each reservoir and the total effective oil storage volume of the target oil reservoir are extracted. The effective oil storage volume is used to characterize the available oil storage capacity of the corresponding reservoir. The ratio of the effective oil storage volume corresponding to each reservoir to the total effective oil storage volume is used as the reserve contribution weight. The reserve contribution weight is used to characterize the degree of contribution of the corresponding reservoir to the oil storage capacity of the target reservoir. Different reservoirs are sorted in descending order according to their reserve contribution weight, and the reservoir with the highest reserve contribution weight is identified as the main oil layer.

[0009] Furthermore, the reservoir feature analysis module constructs an effective connectivity matrix between adjacent reservoirs based on reservoir structure data, including: The reservoir porosity and permeability of each reservoir at the corresponding spatial location are extracted from the reservoir structure data, as well as the interlayer porosity and interlayer permeability of adjacent reservoirs at the corresponding spatial location. Based on the reservoir porosity and reservoir permeability of any two adjacent reservoirs at corresponding spatial locations, determine the minimum reservoir porosity and minimum reservoir permeability of adjacent reservoirs at corresponding spatial locations. The porosity continuity of adjacent reservoirs at corresponding spatial locations is calculated by comparing the interlayer porosity and the minimum reservoir porosity at corresponding spatial locations. The flow continuity of adjacent reservoirs at corresponding spatial locations is calculated by comparing the interlayer permeability and the minimum reservoir permeability at corresponding spatial locations. The product of pore continuity and flow continuity is used as the effective connectivity of adjacent reservoirs at corresponding spatial locations, and an effective connectivity matrix is ​​constructed to characterize the vertical effective connectivity of adjacent reservoirs at different spatial locations during the initial stage of air foam flooding.

[0010] Furthermore, the specific execution steps of the degradation feature analysis module include: The alternating injection process of air and foam liquid is divided into different alternating cycles, and the stratified gas injection volume, produced gas response volume, stratified intake profile data and injection pressure difference data corresponding to different reservoirs under each alternating cycle are extracted using air foam flooding injection and production data. Based on the difference between the stratified gas injection volume and the produced gas response volume for each reservoir, the gas retention volume of each reservoir under the corresponding alternating cycle is calculated. The gas retention volume is the difference between the stratified gas injection volume and the produced gas response volume. The ratio of the stratified adsorption profile data to the injection pressure difference data for each reservoir is calculated to characterize the injection adsorption capacity of each reservoir under unit injection pressure difference in the corresponding alternating cycles. The difference between the injected absorption capacity and the initial injected absorption capacity is taken as the amplitude of the change in injected absorption capacity, and the ratio of the absolute value of the amplitude of the change in injected absorption capacity to the initial injected absorption capacity is taken as the flow attenuation coefficient of each reservoir under the corresponding alternating cycle. The initial injected absorption capacity is the injected absorption capacity corresponding to the initial stage of air foam flooding. The product of the normalized gas retention and the flow attenuation coefficient is used as the degree of trap gas resistance accumulation. The ratio between the degree of trap gas resistance accumulation of each reservoir and the maximum degree of trap gas resistance accumulation within the target reservoir range is used as the connectivity degradation coefficient of each reservoir under different alternation cycles. This coefficient is used to describe the degree of connectivity degradation of different reservoirs under the corresponding alternation cycles compared to the initial stage of air foam flooding.

[0011] Furthermore, the specific execution steps of the attenuation characteristic analysis module include: Obtain the connectivity degradation coefficients of each reservoir and the effective connectivity matrix between adjacent reservoirs under different alternation cycles; The average connectivity degradation coefficient between adjacent reservoirs is calculated using the connectivity degradation coefficient corresponding to each reservoir, and the difference between the value 1 and the average connectivity degradation coefficient is used as the attenuation correction factor. The effective connectivity between adjacent reservoirs is extracted from the effective connectivity matrix. The product of the effective connectivity and the attenuation correction factor is used as the effective connectivity correction value. The corrected effective connectivity matrix is ​​then constructed using the effective connectivity correction value. The vertical sweep capacity between different reservoirs and the main oil layer was analyzed by using the corrected effective connectivity matrix. The decrease ratio of the vertical sweep capacity between different reservoirs and the main oil layer relative to the initial vertical sweep capacity was taken as the vertical sweep capacity decay characteristic. The initial vertical sweep capacity is the vertical sweep capacity of each reservoir relative to the main oil layer in the initial stage of air foam flooding.

[0012] Furthermore, the step of analyzing the vertical sweep capacity between different reservoirs and the main oil layer using the corrected effective connectivity matrix includes: taking reservoirs other than the main oil layer as reservoirs to be analyzed, extracting the vertical connectivity path from the reservoir to be analyzed to the main oil layer using the corrected effective connectivity matrix; when the reservoir to be analyzed and the main oil layer are adjacent reservoirs, using the effective connectivity correction value between the reservoir to be analyzed and the main oil layer as the vertical sweep capacity between the reservoir to be analyzed and the main oil layer; when there is at least one intermediate reservoir between the reservoir to be analyzed and the main oil layer, extracting the corresponding effective connectivity correction values ​​between adjacent reservoirs along the vertical connectivity path between the reservoir to be analyzed and the main oil layer, and using the average of the effective connectivity correction values ​​between each adjacent reservoir on the vertical connectivity path as the vertical sweep capacity between the reservoir to be analyzed and the main oil layer.

[0013] Furthermore, the specific execution steps of the effect warning module include: Obtain the reservoir contribution weights corresponding to different reservoirs and the vertical sweep capacity attenuation characteristics between different reservoirs and the main oil layer; Based on the vertical sweep capacity decay characteristics between different reservoirs and the main oil layer, the vertical sweep capacity retention capacity between different reservoirs and the main oil layer is determined. The vertical sweep capacity retention capacity is the difference between the value 1 and the vertical sweep capacity decay characteristics. The vertical sweep retention capacity between different reservoirs and the main oil layer is weighted and summed according to the reservoir contribution weight to obtain the synergistic displacement contribution of each reservoir to the main oil layer, and the synergistic displacement contribution of each reservoir to the main oil layer in the initial stage of air foam flooding is taken as the initial synergistic displacement contribution. When the rate of decrease between the synergistic displacement contribution of each reservoir to the main oil layer and the initial synergistic displacement contribution in the corresponding alternating cycle is greater than the preset decrease rate threshold, an air foam flooding effect warning is issued; when the rate of decrease between the synergistic displacement contribution of each reservoir to the main oil layer and the initial synergistic displacement contribution in the corresponding alternating cycle is less than or equal to the preset decrease rate threshold, no air foam flooding effect warning is issued.

[0014] Secondly, this invention provides a method for evaluating the effectiveness of air foam flooding based on the connectivity analysis of injection-production well groups, including: Acquire reserve characterization data, reservoir structure data, and air foam flooding and production data for different reservoirs in the target oil reservoir; Based on the analysis of reserve characterization data, the reserve contribution of different reservoirs is analyzed and the main oil layer is determined. Based on the reservoir structure data, an effective connectivity matrix between adjacent reservoirs is constructed. Based on the analysis of air foam flooding injection and production data, the trap gas resistance effect during the alternating injection of air and foam liquid was determined, the degree of trap gas resistance accumulation of each reservoir under different alternation cycles was determined, and the connectivity degradation characteristics of different reservoirs were analyzed. The effective connectivity matrix between adjacent reservoirs is corrected based on connectivity degradation characteristics, and the vertical sweep capacity attenuation characteristics between different reservoirs and the main oil layer are analyzed based on the corrected effective connectivity matrix. Based on the reserve contribution of different reservoirs and the characteristics of vertical sweep capacity attenuation between different reservoirs and the main oil layer, this study analyzes the changes in the synergistic displacement capacity of different reservoirs on the main oil layer during air foam flooding and provides early warning of air foam flooding effectiveness.

[0015] Thirdly, the present invention provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes an air foam flooding effect evaluation method based on the connectivity analysis of injection and production well groups by calling the computer program stored in the memory.

[0016] Fourthly, the present invention provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform an air foam flooding effect evaluation method based on the connectivity analysis of injection-production well groups.

[0017] Compared with the prior art, the present invention has the following advantages and beneficial effects: (1) This invention analyzes the trap air resistance effect formed during the alternating injection of air and foam liquid, extracts the dynamic evolution characteristics of the effective connectivity relationship of the reservoir under different alternating cycles, constructs the effective connectivity matrix in the initial stage of air foam flooding, and dynamically corrects the effective connectivity matrix in combination with the degree of trap air resistance accumulation, thereby realizing the dynamic characterization of the degradation process of the effective flow structure of the reservoir. It can effectively reflect the changes in interlayer flow capacity and vertical seepage capacity during air foam flooding, thereby improving the reliability and accuracy of air foam flooding effect evaluation.

[0018] (2) By analyzing the dynamic effective connectivity degradation and vertical sweep capacity decay characteristics between different reservoirs and the main oil layer, this invention can effectively identify the risk of air foam flooding degrading from multi-layer synergistic displacement to single-layer displacement in local high-permeability layers, and provide early warning of the deterioration trend of air foam flooding effect, thus effectively ensuring the displacement effect of air foam flooding in high-reservoir reservoirs and the overall oil recovery rate of the reservoir. Attached Figure Description

[0019] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a schematic diagram of the air foam flooding effect evaluation system based on the connectivity analysis of injection and production well groups provided in this embodiment of the invention; Figure 2 This is a schematic diagram of the process for calculating effective connectivity provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the process for constructing the corrected effective connectivity matrix provided in an embodiment of the present invention; Figure 4 This is a flowchart illustrating the air foam flooding effect evaluation method based on the connectivity analysis of injection and production well groups provided in this embodiment of the invention. Figure 5 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0020] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations thereof. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0021] Please see Figure 1 , Figure 1 This is a schematic diagram of the air foam flooding effect evaluation system based on injection-production well group connectivity analysis provided in this embodiment of the invention, including: Data acquisition module 110 is used to acquire reserve characterization data, reservoir structure data and air foam flooding injection and production data corresponding to different reservoirs of the target oil reservoir; The reservoir feature analysis module 120 is used to analyze the reserve contribution of different reservoirs based on reserve characterization data and determine the main oil layer, and to construct an effective connectivity matrix between adjacent reservoirs based on reservoir structure data. The degradation feature analysis module 130 is used to analyze the trap gas resistance effect during the alternating injection of air and foam liquid based on air foam flooding injection and production data, determine the degree of trap gas resistance accumulation of each reservoir under different alternation cycles, and analyze the connectivity degradation features of different reservoirs. The attenuation feature analysis module 140 is used to correct the effective connectivity matrix between adjacent reservoirs based on connectivity degradation features, and to analyze the vertical sweep capacity attenuation features between different reservoirs and the main oil layer based on the corrected effective connectivity matrix. The effect warning module 150 is used to analyze the changes in the synergistic displacement capacity of different reservoirs on the main oil layer during the air foam flooding process based on the reserve contribution corresponding to different reservoirs and the vertical sweep capacity attenuation characteristics between different reservoirs and the main oil layer, and to provide early warning of the air foam flooding effect.

[0022] In this embodiment of the invention, the data acquisition module 110 is used to acquire reserve characterization data, reservoir structure data, and air foam flooding injection and production data corresponding to different reservoirs of the target oil reservoir. The reserve characterization data includes the effective oil storage volume corresponding to each reservoir and the total effective oil storage volume of the target oil reservoir. It can comprehensively analyze oilfield geological exploration results, well logging interpretation results, core experimental data, and geological modeling results to determine the oil-bearing area, effective thickness, porosity, and oil saturation corresponding to each reservoir. The effective oil storage volume of each reservoir is calculated using the volumetric method formula, and the total effective oil storage volume of the target oil reservoir is obtained by summing the effective oil storage volumes of each reservoir. The reservoir structure data includes the reservoir structure data in the corresponding space... Reservoir porosity and permeability at a given location, as well as interlayer porosity and permeability of adjacent reservoirs at corresponding spatial locations, can be obtained through reservoir geological modeling and core analysis techniques. Air foam flooding injection and production data include stratified gas injection volume, produced gas response volume, stratified intake profile data, and injection differential pressure data for different reservoirs under each alternating cycle. The stratified gas injection volume for each reservoir can be obtained through stratified flow metering devices in injection wells, and the produced gas response volume can be obtained through production dynamic monitoring data from produced wells. Using downhole stratified water intake profile testing technology, stratified intake profile data for different reservoirs can be determined through tracers and flow logging instruments, and the injection differential pressure data for the corresponding reservoirs can be calculated by combining pressure monitoring data.

[0023] In this embodiment of the invention, the reservoir feature analysis module 120 is used to analyze the reserve contribution of different reservoirs based on the reserve characterization data and determine the main oil layer, and to construct an effective connectivity matrix between adjacent reservoirs based on the reservoir structure data. Different reservoirs exhibit significant differences in their oil storage capacity and exploitability within the target reservoir. During air foam flooding, changes in the effective flow structure of the main oil layer have a major impact on the overall displacement effect. By analyzing the contribution of different reservoirs to the oil storage capacity of the target reservoir, the main oil layer with the greatest impact on the overall development effect is identified. This main oil layer is then used as the core for evaluating the air foam flooding effect, ensuring that subsequent connectivity degradation analysis, vertical sweep capacity analysis, and synergistic displacement capacity analysis align with actual reservoir development characteristics. This improves the relevance and reliability of the air foam flooding effect evaluation results. The reservoir characteristic analysis module determines the main oil layer based on the reserve characterization data corresponding to different reservoirs, including: Based on the reserve characterization data, the effective oil storage volume corresponding to each reservoir and the total effective oil storage volume of the target oil reservoir are extracted. The effective oil storage volume is used to characterize the available oil storage capacity of the corresponding reservoir. The ratio of the effective oil storage volume corresponding to each reservoir to the total effective oil storage volume is used as the reserve contribution weight. The reserve contribution weight is used to characterize the degree of contribution of the corresponding reservoir to the oil storage capacity of the target reservoir. The value range of the reserve contribution weight is as follows: By normalizing the contribution of each reservoir to the oil storage capacity of the target reservoir, the differences in reserve contribution between different reservoirs can be measured by a unified scale. Different reservoirs are arranged in descending order according to their reserve contribution weight, and the reservoir with the highest reserve contribution weight is identified as the main oil layer. The main oil layer is the area in the target oil reservoir where the available crude oil is most concentrated. The subsequent dynamic connectivity degradation analysis and vertical sweep capacity analysis will be carried out with the main oil layer as the core, so as to effectively identify the risk of air foam flooding degrading from multi-layer synergistic displacement to single-layer displacement of local high-permeability layers. By constructing an effective connectivity matrix between adjacent reservoirs, dispersed porosity and permeability are transformed into a matrix data structure that can directly characterize the vertical flow capacity between layers. Since the ability of the gas phase and foam liquid to form effective vertical sweep between different reservoirs during air foam flooding depends on the continuity of the pore space and seepage channels between adjacent reservoirs, constructing an effective connectivity matrix can clarify the degree of effective vertical connectivity between adjacent reservoirs at different spatial locations in the initial stage of air foam flooding. This provides benchmark data for subsequent correction of the effective connectivity matrix using the accumulated characteristics of trap gas resistance. The reservoir feature analysis module constructs an effective connectivity matrix between adjacent reservoirs based on reservoir structure data, including: The reservoir porosity and permeability of each reservoir at the corresponding spatial location are extracted from the reservoir structure data, as well as the interlayer porosity and interlayer permeability of adjacent reservoirs at the corresponding spatial location. Based on the reservoir porosity and permeability of any two adjacent reservoirs at corresponding spatial locations, the minimum values ​​of reservoir porosity and permeability of adjacent reservoirs at corresponding spatial locations are determined. Specifically, for two vertically adjacent reservoirs at the same spatial location, the reservoir porosity of each reservoir is read, and the smaller of the two values ​​is determined as the minimum reservoir porosity; the reservoir permeability of each reservoir is read, and the smaller of the two values ​​is determined as the minimum reservoir permeability. By using the storage capacity and seepage capacity of the weaker side of the adjacent reservoir as the benchmark for judging interlayer connectivity, it is more consistent with the actual seepage characteristics of interlayer flow being controlled by the weakest link. The porosity continuity of adjacent reservoirs at corresponding spatial locations is calculated by comparing the interlayer porosity with the minimum reservoir porosity. Specifically, the formula for calculating porosity continuity is as follows: ,in, Indicates the first reservoir and the first reservoir in spatial location Pore ​​continuity at the location, Indicates the first reservoir and the first reservoir in spatial location Interlayer porosity at the location, Indicates the first reservoir and the first reservoir in spatial location Minimum reservoir porosity at that location This represents a minimum constant to prevent the denominator from being zero. It is calculated by comparing the interlayer porosity of the interlayer region between adjacent reservoirs with the minimum reservoir porosity. This ratio characterizes the degree to which the pore space in the interlayer region satisfies the storage capacity of the weaker pores in the adjacent reservoir. When the interlayer porosity is greater than or equal to the minimum reservoir porosity, it indicates that no obvious pore blockage has formed in the interlayer region. When the interlayer porosity is less than the minimum reservoir porosity, it indicates that there is still pore shrinkage in the interlayer region relative to the weaker side of the adjacent reservoir. The greater the insufficiency of the interlayer porosity relative to the minimum reservoir porosity, the lower the pore continuity. The flow continuity of adjacent reservoirs at corresponding spatial locations is calculated by comparing the interlayer permeability and the minimum reservoir permeability at corresponding spatial locations. The formula for calculating flow continuity can be referenced from the formula for calculating pore continuity. Please see Figure 2 , Figure 2 This is a flowchart illustrating the calculation of effective connectivity provided in this embodiment of the invention. The product of porosity continuity and flow continuity is used as the effective connectivity of adjacent reservoirs at corresponding spatial locations, and an effective connectivity matrix is ​​constructed to characterize the vertical effective connectivity relationship of adjacent reservoirs at different spatial locations during the initial stage of air foam flooding. Specifically, for each pair of adjacent reservoirs and each spatial location, the corresponding porosity continuity and flow continuity are calculated, and the product of porosity continuity and flow continuity is used as the effective connectivity at the corresponding spatial location. When both porosity continuity and flow continuity are high, the corresponding... A high level of effective connectivity indicates that there is good vertical effective connectivity between adjacent reservoirs at that spatial location. When either porosity continuity or flow continuity is low, the corresponding effective connectivity decreases, indicating that there are bottlenecks in the interlayer pore space or flow channels. By arranging the effective connectivity at different spatial locations into a matrix according to the reservoir sequence and spatial location, a spatialized expression of the vertical effective connectivity between adjacent reservoirs in the initial stage of air foam flooding is formed, providing a calculable basis for subsequent analysis of effective connectivity attenuation caused by trap gas resistance, reduction in vertical sweep capacity, and degradation of multi-layer synergistic displacement.

[0024] In this embodiment of the invention, the degradation feature analysis module 130 is used to analyze the trap gas resistance effect during the alternating injection of air and foam liquid based on air foam flooding injection and production data, determine the degree of trap gas resistance accumulation of each reservoir under different alternation cycles, and analyze the connectivity degradation features of different reservoirs. Since trapped gas preferentially accumulates in low-connectivity pore throats and dead pores during air foam flooding, connectivity degradation is not an inherent geological property change of the reservoir, but rather a degradation of flow capacity caused by the dynamic evolution of the effective flow structure during air foam flooding. By analyzing the gas retention and the degree of attenuation of injection absorption capacity, the degree of trapped gas resistance accumulation can be characterized, and the degree of effective flow capacity degradation of each reservoir under different alternating cycles can be identified. The specific execution steps of the degradation characteristic analysis module include: The alternating injection process of air and foam liquid is divided into different alternating cycles. The stratified gas injection volume, produced gas response volume, stratified intake profile data and injection differential pressure data corresponding to different reservoirs under each alternating cycle are extracted by air foam flooding injection and production data. Specifically, according to the start and end times of the air injection stage, foam liquid injection stage and production response stage in the field construction record, one air injection and its subsequent foam liquid injection and production response process can be divided into one alternating cycle. Based on the difference between the stratified gas injection volume and the produced gas response volume for each reservoir, the gas retention volume of each reservoir under the corresponding alternating cycle is calculated. The gas retention volume is the difference between the stratified gas injection volume and the produced gas response volume. When the produced gas response volume is greater than the stratified gas injection volume, the gas retention volume is treated as zero to avoid mistaking abnormal backflow or gas released in the previous cycle as negative retention. The ratio of the stratified adsorption profile data to the injection pressure difference data for each reservoir is calculated to characterize the injection adsorption capacity of each reservoir under unit injection pressure difference in the corresponding alternating cycles. The difference between the injected absorption capacity and the initial injected absorption capacity is taken as the amplitude of the change in injected absorption capacity, and the ratio of the absolute value of the amplitude of the change in injected absorption capacity to the initial injected absorption capacity is taken as the flow attenuation coefficient of each reservoir under the corresponding alternating cycle. The initial injected absorption capacity is the injected absorption capacity corresponding to the initial stage of air foam flooding. The flow attenuation coefficient quantifies the degree of decrease in the reservoir's fluid acceptance capacity relative to the initial state after alternating injection of air foam flooding. The larger the flow attenuation coefficient, the more obvious the influence of trap gas resistance on the corresponding reservoir. When the injected absorption capacity is greater than the initial injected absorption capacity, the flow attenuation coefficient is zero. The product of the normalized gas retention and the flow attenuation coefficient is taken as the degree of trap gas resistance accumulation. The ratio between the degree of trap gas resistance accumulation of each reservoir and the maximum degree of trap gas resistance accumulation within the target reservoir range is taken as the connectivity degradation coefficient of each reservoir under different alternation cycles. This coefficient is used to describe the degree of connectivity degradation of different reservoirs under the corresponding alternation cycle compared to the initial stage of air foam flooding. Specifically, the gas retention of any reservoir under the corresponding alternation cycle can be calculated by the ratio of the maximum gas retention of that reservoir in all alternation cycles to obtain the normalized gas retention.

[0025] In this embodiment of the invention, the attenuation feature analysis module 140 is used to correct the effective connectivity matrix between adjacent reservoirs based on connectivity degradation features, and to analyze the vertical sweep capacity attenuation features between different reservoirs and the main oil layer based on the corrected effective connectivity matrix. The effective connectivity matrix can only reflect the natural vertical flow relationships between reservoirs in the initial stage of air foam flooding. However, as the number of alternating flows increases, trapped gas will continuously accumulate in low-connectivity pore throats, dead pores, and interlayer transition regions, leading to a gradual decrease in effective interlayer flow capacity. Therefore, a connectivity degradation coefficient is used to correct for the attenuation of effective connectivity, quantifying the changes in interlayer cooperative flow capacity during air foam flooding. This improves the adaptability and accuracy of air foam flooding performance evaluation to actual underground flow conditions. Please refer to [link to relevant documentation]. Figure 3 , Figure 3 This is a flowchart illustrating the construction of the corrected effective connectivity matrix provided in an embodiment of the present invention. The specific execution steps of the attenuation feature analysis module include: Obtain the connectivity degradation coefficients of each reservoir and the effective connectivity matrix between adjacent reservoirs under different alternation cycles; The average connectivity degradation coefficient between adjacent reservoirs is calculated using the connectivity degradation coefficients corresponding to each reservoir. The difference between the value 1 and the average connectivity degradation coefficient is used as the attenuation correction factor. Specifically, for any two adjacent reservoirs, the connectivity degradation coefficients corresponding to the two reservoirs in the same alternation cycle are extracted, and the two connectivity degradation coefficients are averaged to obtain the average connectivity degradation coefficient between adjacent reservoirs. The difference between the value 1 and the average connectivity degradation coefficient is used as the attenuation correction factor between the corresponding adjacent reservoirs. When the average connectivity degradation coefficient is small, it indicates that the connectivity degradation between adjacent reservoirs is weak, and the corresponding attenuation correction factor is close to the value 1. When the average connectivity degradation coefficient is large, it indicates that the effective flow between adjacent reservoirs is significantly affected by the gas resistance of the trap, and the corresponding attenuation correction factor is reduced. The effective connectivity between adjacent reservoirs in the effective connectivity matrix is ​​extracted. The product of the effective connectivity and the attenuation correction factor is used as the effective connectivity correction value. The corrected effective connectivity matrix is ​​then constructed using the effective connectivity correction value. Specifically, for the effective connectivity of any two adjacent reservoirs in the effective connectivity matrix at their corresponding spatial locations, the effective connectivity is multiplied by the attenuation correction factor between the corresponding adjacent reservoirs to obtain the effective connectivity correction value at the corresponding spatial location. The effective connectivity correction values ​​at each spatial location are then reconstructed according to the original arrangement of the effective connectivity matrix to obtain the corrected effective connectivity matrix. The vertical sweep capacity between different reservoirs and the main oil layer is analyzed by the modified effective connectivity matrix. The decrease ratio of the vertical sweep capacity between different reservoirs and the main oil layer relative to the initial vertical sweep capacity is used as the vertical sweep capacity decay characteristic. The initial vertical sweep capacity is the vertical sweep capacity of each reservoir relative to the main oil layer in the initial stage of air foam flooding. The vertical sweep capacity decay characteristic is used to characterize the degree of evolution from the cooperative displacement state to the local displacement state between different reservoirs and the main oil layer during the air foam flooding process. The vertical sweep capacity between different reservoirs and the main oil layer is analyzed using a modified effective connectivity matrix. This includes: taking reservoirs other than the main oil layer as the reservoirs to be analyzed, extracting the vertical connectivity path from the reservoir to the main oil layer using the modified effective connectivity matrix; when the reservoir to be analyzed and the main oil layer are adjacent reservoirs, using the modified effective connectivity value between the reservoir to be analyzed and the main oil layer as the vertical sweep capacity between them; when there is at least one intermediate reservoir between the reservoir to be analyzed and the main oil layer, extracting the corresponding modified effective connectivity values ​​between adjacent reservoirs along the vertical connectivity path from the reservoir to the main oil layer, and using the average of the modified effective connectivity values ​​between adjacent reservoirs along the vertical connectivity path as the vertical sweep capacity between the reservoir to be analyzed and the main oil layer.

[0026] In this embodiment of the invention, the effect warning module 150 is used to analyze the changes in the synergistic displacement capacity of different reservoirs on the main oil layer during the air foam flooding process based on the reservoir contribution corresponding to different reservoirs and the vertical sweep capacity attenuation characteristics between different reservoirs and the main oil layer, and to provide an air foam flooding effect warning. By dynamically analyzing the synergistic displacement capabilities between different reservoirs and the main oil layer, and combining this with a preset decline rate threshold for early warning of air foam flooding effects, the risk of degradation from multi-layer synergistic displacement to single-layer displacement of local high-permeability layers during air foam flooding can be identified in a timely manner. This improves the inter-layer synergistic displacement capability and the overall reservoir recovery rate during air foam flooding. The specific execution steps of the effect early warning module include: Obtain the reservoir contribution weights corresponding to different reservoirs and the vertical sweep capacity attenuation characteristics between different reservoirs and the main oil layer; Based on the vertical sweep capacity decay characteristics between different reservoirs and the main oil layer, the vertical sweep capacity retention capacity between different reservoirs and the main oil layer is determined. The vertical sweep capacity retention capacity is the difference between the value 1 and the vertical sweep capacity decay characteristics. The vertical sweep retention capacity of different reservoirs and the main oil layer is weighted and summed according to the reserve contribution weight to obtain the synergistic displacement contribution of each reservoir to the main oil layer. The synergistic displacement contribution of each reservoir to the main oil layer in the initial stage of air foam flooding is used as the initial synergistic displacement contribution. Specifically, the reserve contribution weight and the corresponding vertical sweep retention capacity of different reservoirs are extracted respectively. The vertical sweep retention capacity of each reservoir is multiplied by the corresponding reserve contribution weight, and the product results of all reservoirs are summed to obtain the synergistic displacement contribution of each reservoir to the main oil layer in the current alternation cycle. By integrating the contribution of different reservoirs to the target reservoir with their vertical sweep retention capacity, the influence weight of high-reserve reservoirs in the synergistic displacement capacity evaluation is increased, avoiding the excessive influence of local sweep changes of low-reserve reservoirs on the overall evaluation results, and improving the consistency between the air foam flooding effect evaluation and the actual recovery rate changes. When the rate of decrease between the synergistic displacement contribution of each reservoir to the main oil layer in the corresponding alternating cycle and the initial synergistic displacement contribution exceeds a preset decrease rate threshold, an air foam flooding effect warning is issued. When the rate of decrease between the synergistic displacement contribution of each reservoir to the main oil layer in the corresponding alternating cycle and the initial synergistic displacement contribution is less than or equal to the preset decrease rate threshold, no air foam flooding effect warning is issued. The preset decrease rate threshold can be set as follows: using the decrease rate of synergistic displacement contribution in the initial stable stage of air foam flooding as a benchmark sample, calculate the decrease rate of each initial alternating cycle relative to the initial synergistic displacement contribution, and construct a decrease rate sample set; calculate the average fluctuation amplitude and fluctuation dispersion of the decrease rate sample set. The average fluctuation amplitude is used to characterize the average decrease fluctuation level of the synergistic displacement contribution under normal operating conditions, and the fluctuation dispersion is the standard deviation corresponding to the decrease rate sample set, used to characterize the instability of the decrease fluctuation under normal operating conditions; the sum of the average fluctuation amplitude and the fluctuation dispersion is used as the preset decrease rate threshold.

[0027] Please see Figure 4 , Figure 4 This is a schematic diagram of the overall process of the air foam flooding effect evaluation method based on the connectivity analysis of injection-production well groups provided in this embodiment of the invention, which specifically includes the following steps: Acquire reserve characterization data, reservoir structure data, and air foam flooding and production data for different reservoirs in the target oil reservoir; Based on the analysis of reserve characterization data, the reserve contribution of different reservoirs is analyzed and the main oil layer is determined. Based on the reservoir structure data, an effective connectivity matrix between adjacent reservoirs is constructed. Based on the analysis of air foam flooding injection and production data, the trap gas resistance effect during the alternating injection of air and foam liquid was determined, the degree of trap gas resistance accumulation of each reservoir under different alternation cycles was determined, and the connectivity degradation characteristics of different reservoirs were analyzed. The effective connectivity matrix between adjacent reservoirs is corrected based on connectivity degradation characteristics, and the vertical sweep capacity attenuation characteristics between different reservoirs and the main oil layer are analyzed based on the corrected effective connectivity matrix. Based on the reserve contribution of different reservoirs and the characteristics of vertical sweep capacity attenuation between different reservoirs and the main oil layer, this study analyzes the changes in the synergistic displacement capacity of different reservoirs on the main oil layer during air foam flooding and provides early warning of air foam flooding effectiveness.

[0028] The parameters and steps in the above embodiments of the air foam drive effect evaluation method based on injection-production well group connectivity analysis of the present invention can be referred to the parameters and steps of each unit module of the air foam drive effect evaluation system based on injection-production well group connectivity analysis to realize the corresponding functions, and will not be repeated here.

[0029] Please refer to Figure 5 The present invention also provides an electronic device 300, including a memory 310, a processor 320, and a communication bus 330; the memory 310 and the processor 320 are connected via the communication bus 330. The memory 310 stores an air foam flooding effect evaluation method based on the connectivity analysis of injection-production well groups, which can be loaded and executed by the processor 320 as provided in the above embodiments.

[0030] The memory 310 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 310 may include a program storage area and a data storage area. The program storage area may store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the air foam flooding effect evaluation method based on injection-production well group connectivity analysis provided in the above embodiments. The data storage area may store data involved in the air foam flooding effect evaluation method based on injection-production well group connectivity analysis provided in the above embodiments.

[0031] Processor 320 may include one or more processing cores. Processor 320 executes instructions, programs, code sets, or instruction sets stored in memory 310, and calls data stored in memory 310 to perform various functions and process data according to the present invention. Processor 320 may be at least one of the following: Application Specific Integrated Circuit (ASIC), Digital Signal Processor (DSP), Digital Signal Processing Device (DSPD), Programmable Logic Device (PLD), Field Programmable Gate Array (FPGA), Central Processing Unit (CPU), Controller, Microcontroller, and Microprocessor. It is understood that, for different devices, the electronic devices used to implement the functions of processor 320 may also be other types, and the embodiments of the present invention do not specifically limit this.

[0032] The communication bus 330 may include a path for transmitting information between the aforementioned components. The communication bus 330 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 330 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 The symbol is represented by a single double arrow, but this does not mean that there is only one bus or one type of bus.

[0033] This invention provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed as described in the above embodiments for evaluating the effectiveness of air foam flooding based on the connectivity analysis of injection-production well groups.

[0034] In this embodiment of the invention, the computer-readable storage medium can be a tangible device that holds and stores instructions used by an instruction execution device. The computer-readable storage medium can be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof. Specifically, the computer-readable storage medium can be a portable computer disk, a hard disk, a USB flash drive, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), lectern random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory stick, floppy disk, optical disk, magnetic disk, mechanical encoding device, or any combination thereof.

[0035] The terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0036] The above description is merely a preferred embodiment of the present invention and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this application is not limited to the technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the foregoing concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions claimed in this invention.

Claims

1. An air foam flooding effect evaluation system based on injection-production well group connectivity analysis, characterized in that, include: The data acquisition module is used to acquire reserve characterization data, reservoir structure data, and air foam flooding injection and production data corresponding to different reservoirs in the target oil reservoir. The reservoir characteristic analysis module is used to analyze the reserve contribution of different reservoirs and determine the main oil layer based on the reserve characterization data, and to construct an effective connectivity matrix between adjacent reservoirs based on the reservoir structure data. The degradation feature analysis module is used to analyze the trap gas resistance effect during the alternating injection of air and foam liquid based on air foam flooding injection and production data, determine the degree of trap gas resistance accumulation in each reservoir under different alternation cycles, and analyze the connectivity degradation features of different reservoirs. The attenuation characteristic analysis module is used to correct the effective connectivity matrix between adjacent reservoirs based on connectivity degradation characteristics, and to analyze the vertical sweep capacity attenuation characteristics between different reservoirs and the main oil layer based on the corrected effective connectivity matrix. The effect warning module is used to analyze the changes in the synergistic displacement capacity of different reservoirs on the main oil layer during the air foam flooding process, based on the reservoir contribution corresponding to different reservoirs and the vertical sweep capacity attenuation characteristics between different reservoirs and the main oil layer, and to provide early warning of the air foam flooding effect. The specific execution steps of the degradation feature analysis module include: The alternating injection process of air and foam liquid is divided into different alternating cycles, and the stratified gas injection volume, produced gas response volume, stratified intake profile data and injection pressure difference data corresponding to different reservoirs under each alternating cycle are extracted using air foam flooding injection and production data. Based on the difference between the stratified gas injection volume and the produced gas response volume for each reservoir, the gas retention volume of each reservoir under the corresponding alternating cycle is calculated. The gas retention volume is the difference between the stratified gas injection volume and the produced gas response volume. The ratio of the stratified adsorption profile data to the injection pressure difference data for each reservoir is calculated to characterize the injection adsorption capacity of each reservoir under unit injection pressure difference in the corresponding alternating cycles. The difference between the injected absorption capacity and the initial injected absorption capacity is taken as the amplitude of the change in injected absorption capacity, and the ratio of the absolute value of the amplitude of the change in injected absorption capacity to the initial injected absorption capacity is taken as the flow attenuation coefficient of each reservoir under the corresponding alternating cycle. The initial injected absorption capacity is the injected absorption capacity corresponding to the initial stage of air foam flooding. The product of the normalized gas retention and the flow attenuation coefficient is used as the degree of trap gas resistance accumulation. The ratio between the degree of trap gas resistance accumulation of each reservoir and the maximum degree of trap gas resistance accumulation within the target reservoir range is used as the connectivity degradation coefficient of each reservoir under different alternation cycles. This coefficient is used to describe the degree of connectivity degradation of different reservoirs under the corresponding alternation cycles compared to the initial stage of air foam flooding.

2. The air foam flooding effect evaluation system based on injection-production well group connectivity analysis according to claim 1, characterized in that, The reservoir characteristic analysis module determines the main oil layer based on the reserve characterization data corresponding to different reservoirs, including: Based on the reserve characterization data, the effective oil storage volume corresponding to each reservoir and the total effective oil storage volume of the target oil reservoir are extracted. The effective oil storage volume is used to characterize the available oil storage capacity of the corresponding reservoir. The ratio of the effective oil storage volume corresponding to each reservoir to the total effective oil storage volume is used as the reserve contribution weight. The reserve contribution weight is used to characterize the degree of contribution of the corresponding reservoir to the oil storage capacity of the target reservoir. Different reservoirs are sorted in descending order according to their reserve contribution weight, and the reservoir with the highest reserve contribution weight is identified as the main oil layer.

3. The air foam flooding effect evaluation system based on injection-production well group connectivity analysis according to claim 1, characterized in that, The reservoir feature analysis module constructs an effective connectivity matrix between adjacent reservoirs based on reservoir structure data, including: The reservoir porosity and permeability of each reservoir at the corresponding spatial location are extracted from the reservoir structure data, as well as the interlayer porosity and interlayer permeability of adjacent reservoirs at the corresponding spatial location. Based on the reservoir porosity and reservoir permeability of any two adjacent reservoirs at corresponding spatial locations, determine the minimum reservoir porosity and minimum reservoir permeability of adjacent reservoirs at corresponding spatial locations. The porosity continuity of adjacent reservoirs at corresponding spatial locations is calculated by comparing the interlayer porosity and the minimum reservoir porosity at corresponding spatial locations. The flow continuity of adjacent reservoirs at corresponding spatial locations is calculated by comparing the interlayer permeability and the minimum reservoir permeability at corresponding spatial locations. The product of pore continuity and flow continuity is used as the effective connectivity of adjacent reservoirs at corresponding spatial locations, and an effective connectivity matrix is ​​constructed to characterize the vertical effective connectivity of adjacent reservoirs at different spatial locations during the initial stage of air foam flooding.

4. The air foam flooding effect evaluation system based on injection-production well group connectivity analysis according to claim 1, characterized in that, The specific execution steps of the attenuation characteristic analysis module include: Obtain the connectivity degradation coefficients of each reservoir and the effective connectivity matrix between adjacent reservoirs under different alternation cycles; The average connectivity degradation coefficient between adjacent reservoirs is calculated using the connectivity degradation coefficient corresponding to each reservoir, and the difference between the value 1 and the average connectivity degradation coefficient is used as the attenuation correction factor. The effective connectivity between adjacent reservoirs is extracted from the effective connectivity matrix. The product of the effective connectivity and the attenuation correction factor is used as the effective connectivity correction value. The corrected effective connectivity matrix is ​​then constructed using the effective connectivity correction value. The vertical sweep capacity between different reservoirs and the main oil layer was analyzed by using the corrected effective connectivity matrix. The decrease ratio of the vertical sweep capacity between different reservoirs and the main oil layer relative to the initial vertical sweep capacity was taken as the vertical sweep capacity decay characteristic. The initial vertical sweep capacity is the vertical sweep capacity of each reservoir relative to the main oil layer in the initial stage of air foam flooding.

5. The air foam flooding effect evaluation system based on injection-production well group connectivity analysis according to claim 4, characterized in that, The method of analyzing the vertical sweep capacity between different reservoirs and the main oil layer using the corrected effective connectivity matrix includes: taking reservoirs other than the main oil layer as reservoirs to be analyzed; extracting the vertical connectivity path from the reservoir to be analyzed to the main oil layer using the corrected effective connectivity matrix; when the reservoir to be analyzed and the main oil layer are adjacent reservoirs, using the effective connectivity correction value between the reservoir to be analyzed and the main oil layer as the vertical sweep capacity between the reservoir to be analyzed and the main oil layer; when there is at least one intermediate reservoir between the reservoir to be analyzed and the main oil layer, extracting the corresponding effective connectivity correction values ​​between adjacent reservoirs along the vertical connectivity path between the reservoir to be analyzed and the main oil layer, and using the average of the effective connectivity correction values ​​between adjacent reservoirs on the vertical connectivity path as the vertical sweep capacity between the reservoir to be analyzed and the main oil layer.

6. The air foam flooding effect evaluation system based on injection-production well group connectivity analysis according to claim 1, characterized in that, The specific execution steps of the effect warning module include: Obtain the reservoir contribution weights corresponding to different reservoirs and the vertical sweep capacity attenuation characteristics between different reservoirs and the main oil layer; Based on the vertical sweep capacity decay characteristics between different reservoirs and the main oil layer, the vertical sweep capacity retention capacity between different reservoirs and the main oil layer is determined. The vertical sweep capacity retention capacity is the difference between the value 1 and the vertical sweep capacity decay characteristics. The vertical sweep retention capacity between different reservoirs and the main oil layer is weighted and summed according to the reservoir contribution weight to obtain the synergistic displacement contribution of each reservoir to the main oil layer, and the synergistic displacement contribution of each reservoir to the main oil layer in the initial stage of air foam flooding is taken as the initial synergistic displacement contribution. When the rate of decrease between the synergistic displacement contribution of each reservoir to the main oil layer and the initial synergistic displacement contribution in the corresponding alternating cycle is greater than the preset decrease rate threshold, an air foam flooding effect warning is issued; when the rate of decrease between the synergistic displacement contribution of each reservoir to the main oil layer and the initial synergistic displacement contribution in the corresponding alternating cycle is less than or equal to the preset decrease rate threshold, no air foam flooding effect warning is issued.

7. A method for evaluating the effectiveness of air foam flooding based on the connectivity analysis of injection-production well groups, applied to the air foam flooding effectiveness evaluation system based on the connectivity analysis of injection-production well groups as described in any one of claims 1-6, characterized in that, The method includes: Acquire reserve characterization data, reservoir structure data, and air foam flooding and production data for different reservoirs in the target oil reservoir; Based on the analysis of reserve characterization data, the reserve contribution of different reservoirs is analyzed and the main oil layer is determined. Based on the reservoir structure data, an effective connectivity matrix between adjacent reservoirs is constructed. Based on the analysis of air foam flooding injection and production data, the trap gas resistance effect during the alternating injection of air and foam liquid was determined, the degree of trap gas resistance accumulation of each reservoir under different alternation cycles was determined, and the connectivity degradation characteristics of different reservoirs were analyzed. The effective connectivity matrix between adjacent reservoirs is corrected based on connectivity degradation characteristics, and the vertical sweep capacity attenuation characteristics between different reservoirs and the main oil layer are analyzed based on the corrected effective connectivity matrix. Based on the reserve contribution of different reservoirs and the characteristics of vertical sweep capacity attenuation between different reservoirs and the main oil layer, this study analyzes the changes in the synergistic displacement capacity of different reservoirs on the main oil layer during air foam flooding and provides early warning of air foam flooding effectiveness.

8. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the air foam drive effect evaluation method based on injection-production well group connectivity analysis as described in claim 7 by calling the computer program stored in the memory.

9. A computer-readable storage medium, characterized in that, The system stores instructions that, when executed on a computer, cause the computer to perform the air foam flooding effect evaluation method based on the connectivity analysis of injection and production well groups as described in claim 7.

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