A geological interpretation-based horizontal well rapid sand control completion design method and system

Abstract

The application provides a horizontal well rapid sand prevention completion design method and system based on geological interpretation, and belongs to the field of petroleum. The technical scheme is as follows: step S1, obtaining reservoir parameters of a horizontal well section based on completion geological data interpretation; step S2, establishing a horizontal well productivity model; step S3, determining optimal parameters in a sand prevention completion process parameter set and a plugging removal process parameter set; step S4, defining a production process parameter set and determining optimal parameters in the production process parameter set; and step S5, selecting and applying corresponding sand prevention completion processes, plugging removal processes and production processes according to the determined optimal parameters. The application has the beneficial effect that the completion data is used to quickly model and integrally optimize parameters, a sand prevention completion scheme can be quickly formulated, the risk of wellbore collapse caused by a long design cycle can be effectively avoided, and the problem of substandard productivity caused by the fact that the completion scheme does not match actual geological conditions can be solved.

Description

Technical Field

[0001] This invention relates to the field of oilfield development, and in particular to a method and system for rapid sand control completion design of horizontal wells based on geological interpretation. Background Technology

[0002] The main completion and sand control methods for horizontal wells in loose sandstone reservoirs are open-hole screen completion followed by external sand control and cementing perforation completion followed by internal sand control. Compared with cementing perforation completion, open-hole screen completion for horizontal wells has advantages such as lower cost, greater freedom in sand control technology selection, larger drainage area, less damage to the reservoir, and higher well productivity. Therefore, it has become the main completion method for horizontal wells in loose sandstone reservoirs.

[0003] However, since open-hole screen completion requires the sand control screen to be lowered into the well during drilling, a sand control completion plan needs to be quickly developed to avoid wellbore collapse due to prolonged immersion. Currently, the sand control completion technology and design method for horizontal wells mainly rely on optimizing the completion method of the horizontal section based on the reservoir geological data obtained in the early stage, and combining the rock cuttings and mud obtained during drilling to judge the oil content and reservoir properties of the well section, and further optimize the completion length and sand control accuracy. This method has the problem of mismatch between the sand control plan and the drilled well section, which seriously affects the productivity of horizontal wells. Even if the completion geological data is obtained, the interpretation results of the data are mostly used to judge the oil content of the reservoir, and the interpretation of the completion data takes a long time. In practical applications, it is difficult to quickly and effectively guide the optimization of the sand control completion plan. Summary of the Invention

[0004] The purpose of this invention is to provide a rapid sand control completion design method and system for horizontal wells based on geological interpretation. This system enables rapid modeling and integrated parameter optimization using drilling completion data, allowing for the quick formulation of sand control completion schemes. It effectively avoids the risk of wellbore collapse due to excessively long design cycles and the problem of insufficient production capacity caused by mismatch between the completion scheme and actual geological conditions. Furthermore, by optimizing the design process, it improves the efficiency of completion operations and significantly enhances sand control and water control effects, thereby extending the high-production and stable production cycle of oil wells.

[0005] This invention is achieved through the following measures: A rapid sand control completion design method for horizontal wells based on geological interpretation, characterized by comprising:

[0006] Step S1: Obtain reservoir parameters for the horizontal well section based on the interpretation of the completed geological data; Step S2: Define a set of sand control completion process parameters and a set of unblocking process parameters, and establish a horizontal well productivity model based on the completed geological data and the reservoir parameters; Step S3: Based on the horizontal well productivity model and with the maximum productivity of the horizontal well as the objective, determine the optimal parameters in the set of sand control completion process parameters and the set of unblocking process parameters; Step S4: Define a set of production process parameters, and based on the horizontal well productivity model and with the maximum productivity of the horizontal well as the objective, determine the optimal parameters in the set of production process parameters; Step S5: Based on the optimal parameters in the determined set of sand control completion process parameters, unblocking process parameters, and production process parameters, select and apply the corresponding sand control completion process, unblocking process, and production process.

[0007] The invention also has the following specific features: The reservoir parameters obtained from the interpretation of the completed geological data include: based on various logging data in the completed geological data, reservoir physical property parameters such as porosity distribution with drilling trajectory, clay content distribution with drilling trajectory, saturation distribution with drilling trajectory, permeability distribution with drilling trajectory, and reservoir fluid viscosity are calculated. And based on the completed geological and engineering data, obtain dynamic reservoir parameters including reservoir pressure, bottom hole pressure, and supply radius; The various logging data include at least sonic transit time data, density logging data, resistivity data, spontaneous potential data, and natural gamma data.

[0008] The defined sets of sand control completion process parameters and unblocking process parameters include: The sand control completion process parameters are defined as set A. Set A includes multiple parameters corresponding to different sand control completion processes, including: sand control screen outer diameter, screen slot parameters, densely packed gravel permeability, and gravel filling rate parameters. The unblocking process parameters are defined as set B, which includes multiple parameters corresponding to different unblocking processes, including: reservoir contamination unblocking radius, reservoir contamination blockage removal rate, unblocking well section distribution, and unblocking pressure parameters.

[0009] Establishing a horizontal well productivity model based on the completed geological data and reservoir parameters includes: establishing a horizontal well geometric model based on the wellbore trajectory in the completed geological data; importing the reservoir parameters into the geometric model to obtain a horizontal segment attribute model; and establishing the horizontal well productivity model.

[0010] Among them, the epidermal coefficient Skin coefficient of sand control completion and reservoir contamination skin coefficient Composition, the skin coefficient of the sand control completion The reservoir skin contamination coefficient is calculated based on the defined set of sand control completion process parameters A. The calculation is based on the defined set of unblocking process parameters B.

[0011] Based on the horizontal well productivity model and with the maximum productivity of the horizontal well as the objective, the optimal parameters in the sand control completion process parameter set and the unblocking process parameter set are determined, including: the maximum productivity calculated using the horizontal well productivity model. To optimize the objective, the optimal values ​​of each parameter in the sand control completion process parameter set A and the optimal values ​​of each parameter in the unblocking process parameter set B are determined by reverse analysis using the horizontal well productivity model, thereby obtaining the optimal combination of sand control completion process parameters and unblocking process parameters that maximizes the horizontal well productivity.

[0012] The set of production process parameters is defined as follows: The production process parameters are defined as set C, which contains multiple parameters corresponding to the production process, including: stroke. Strike Pump efficiency And pump diameter D.

[0013] Based on the horizontal well productivity model and with the maximum productivity of the horizontal well as the objective, the optimal parameters in the set of production process parameters are determined as follows: The maximum production capacity of this well section is calculated based on the horizontal well production capacity model. Based on relevant process standards, the value range of each parameter in the production process parameter set C is determined, and the stroke that maximizes production capacity is obtained through calculation. Strike Pump efficiency The optimal parameter values ​​for pump diameter D.

[0014] Based on the optimal parameters from the determined sets of sand control completion process parameters, unblocking process parameters, and production process parameters, select and apply the corresponding sand control completion process, unblocking process, and production process, including: The optimal parameters determined from the set of sand control completion process parameters, unblocking process parameters, and production process parameters are compared with the corresponding production process standards. Based on the correspondence between parameters and processes, the corresponding sand control completion process, unblocking process, and production process are selected. Finally, the process combination that matches each optimal parameter is determined and implemented.

[0015] A system for a rapid sand control completion design method for horizontal wells based on geological interpretation is characterized by comprising: a reservoir parameter acquisition module: acquiring reservoir parameters of the horizontal well section based on the interpretation of completed geological data; a process parameter definition and production capacity modeling module: defining a set of sand control completion process parameters and a set of unblocking process parameters, and establishing a horizontal well production capacity model based on the completed geological data and the reservoir parameters; a sand control and unblocking process parameter optimization module: determining the optimal parameters in the set of sand control completion process parameters and the set of unblocking process parameters based on the horizontal well production capacity model and with the maximum production capacity of the horizontal well as the objective; a production process parameter optimization module: defining a set of production process parameters, determining the optimal parameters in the set of production process parameters based on the horizontal well production capacity model and with the maximum production capacity of the horizontal well as the objective; and a completion process decision and implementation module: selecting and applying the corresponding sand control completion process, unblocking process, and production process based on the optimal parameters in the determined set of sand control completion process parameters, unblocking process parameters, and production process parameters.

[0016] The beneficial effects of this invention are as follows: by rapidly modeling and optimizing parameters based on drilling data, a sand control completion plan can be quickly formulated, effectively avoiding the risk of wellbore collapse caused by excessively long design cycles, as well as the problem of insufficient production capacity caused by mismatch between the completion plan and actual geological conditions. At the same time, by optimizing the design process, the efficiency of completion operations is improved, and the sand control and water control effects are significantly improved, thereby extending the high-production and stable production cycle of oil wells. Attached Figure Description

[0017] Figure 1 This is an overall flowchart of a rapid sand control completion design method and system for horizontal wells based on geological interpretation, provided as an embodiment of the present invention. Detailed Implementation

[0018] To clearly illustrate the technical features of this solution, the following detailed implementation method will be used to describe the solution.

[0019] Example 1 See Figure 1 A rapid sand control completion design method for horizontal wells based on geological interpretation, characterized by comprising: Step S1: Obtain reservoir parameters for the horizontal well section based on the interpretation of the completed geological data; Step S2: Define the set of sand control completion process parameters and the set of unblocking process parameters, and establish a horizontal well productivity model based on the completed geological data and the reservoir parameters; Step S3: Based on the horizontal well productivity model and with the maximum productivity of the horizontal well as the target, determine the optimal parameters in the set of sand control completion process parameters and the set of unblocking process parameters; Step S4: Define the set of production process parameters, and based on the horizontal well productivity model and with the maximum productivity of the horizontal well as the target, determine the optimal parameters in the set of production process parameters; Step S5: Based on the optimal parameters in the determined set of sand control completion process parameters, the set of unblocking process parameters, and the set of production process parameters, select and apply the corresponding sand control completion process, unblocking process, and production process.

[0020] The invention also has the following specific features: The reservoir parameters obtained from the interpretation of completed geological data for horizontal well sections include: based on various logging data in the completed geological data, reservoir physical property parameters such as porosity distribution with drilling trajectory, clay content distribution with drilling trajectory, saturation distribution with drilling trajectory, permeability distribution with drilling trajectory, and reservoir fluid viscosity are calculated. And based on the geological and engineering data from the completed drilling, obtain dynamic reservoir parameters including reservoir pressure, bottom hole pressure, and supply radius; Multiple logging data include at least sonic transit time data, density logging data, resistivity data, spontaneous potential data, and natural gamma data.

[0021] The defined sets of sand control completion process parameters and unblocking process parameters include: The sand control completion process parameters are defined as set A. Set A contains multiple parameters corresponding to different sand control completion processes, including: sand control screen outer diameter, screen slot parameters, densely packed gravel permeability, and gravel filling rate parameters. The unblocking process parameters are defined as set B, which contains multiple parameters corresponding to different unblocking processes, including: reservoir contamination unblocking radius, reservoir contamination blockage removal rate, unblocking well section distribution, and unblocking pressure parameters. Preferably, the range of values ​​for each parameter in the sand control completion process parameter set A and the unblocking process parameter set B is determined by combining relevant process standards.

[0022] Establishing a horizontal well productivity model based on completed geological data and reservoir parameters includes: building a horizontal well geometric model based on the wellbore trajectory in the completed geological data; importing reservoir parameters into the geometric model to obtain the horizontal section attribute model; and finally, establishing the horizontal well productivity model.

[0023] Among them, the epidermal coefficient Skin coefficient of sand control completion and reservoir contamination skin coefficient Composition, skin coefficient of sand control completion The reservoir contamination skin coefficient was calculated based on the defined set of sand control completion process parameters A. The calculation is based on the defined set of unblocking process parameters B.

[0024] Based on the horizontal well productivity model and with the maximum productivity of the horizontal well as the objective, the optimal parameters in the sand control completion process parameter set and the unblocking process parameter set are determined, including: the maximum productivity calculated by the horizontal well productivity model. To optimize the objective, the optimal values ​​of each parameter in the sand control completion process parameter set A and the optimal values ​​of each parameter in the unblocking process parameter set B are determined by reverse engineering the horizontal well productivity model, thereby obtaining the optimal combination of sand control completion process parameters and unblocking process parameters that maximizes the horizontal well productivity.

[0025] The set of production process parameters is defined as follows: The production process parameters are defined as set C, which contains multiple parameters corresponding to the production process, including: stroke. Strike Pump efficiency And pump diameter D.

[0026] Based on the horizontal well productivity model and with the maximum productivity of horizontal wells as the objective, the optimal parameters in the set of production process parameters are determined as follows: The maximum production capacity of this well section is calculated based on the horizontal well production capacity model. Based on relevant process standards, the value range of each parameter in the production process parameter set C is determined, and the stroke that maximizes production capacity is obtained through calculation. Strike Pump efficiency The optimal parameter values ​​for pump diameter D.

[0027] Based on the optimal parameters from the determined sets of sand control completion process parameters, unblocking process parameters, and production process parameters, select and apply the corresponding sand control completion process, unblocking process, and production process, including: The optimal parameters determined from the sets of sand control completion process parameters, unblocking process parameters, and production process parameters are compared with the corresponding production process standards. Based on the correspondence between parameters and processes, the corresponding sand control completion process, unblocking process, and production process are selected. Finally, the process combination that matches each optimal parameter is determined and implemented.

[0028] Example 2 See Figure 1Step S1, interpreting and obtaining reservoir parameters for the horizontal well section based on the geological data of the completed drilling, includes: calculating reservoir physical property parameters including porosity distribution with drilling trajectory, clay content distribution with drilling trajectory, saturation distribution with drilling trajectory, permeability distribution with drilling trajectory, and reservoir fluid viscosity based on various logging data in the geological data of the completed drilling. And based on the geological and engineering data from the completed drilling, obtain dynamic reservoir parameters including reservoir pressure, bottom hole pressure, and supply radius; Multiple logging data include at least sonic transit time data, density logging data, resistivity data, spontaneous potential data, and natural gamma data.

[0029] Step S1 specifically includes: Reservoir parameter acquisition Based on multi-source logging data from the completed drilling geological data, the reservoir physical parameters of the horizontal well section are systematically interpreted and calculated.

[0030] Specifically, it includes: The porosity distribution of the horizontal well section along the drilling trajectory was calculated based on the sonic transit time data and density logging data from the geological data collected after drilling of the horizontal well section. The distribution of clay content along the drilling trajectory in this horizontal well section was calculated based on the sonic transit time data from the completed geological data collected in this horizontal well section. The saturation distribution of the horizontal well section with respect to the drilling trajectory is calculated based on the resistivity and spontaneous potential data from the completed geological data collected in the horizontal well section. Based on the above calculations, the distribution of clay content, porosity, and saturation of the horizontal well section with respect to the drilling trajectory, as well as the natural gamma data in the geological parameters collected after drilling of the horizontal well section, were compared and calculated to obtain the distribution of permeability of the horizontal well section with respect to the drilling trajectory. Based on well logging data and sampling, reservoir fluid viscosity parameters are obtained by comparing resistivity logging data with samples taken from the same block.

[0031] In terms of dynamic parameter acquisition, the current horizontal reservoir pressure and the current bottom hole pressure are obtained by combining the geological data and engineering data after drilling, based on the geological data after drilling and the mud kill data. Based on the geological data after drilling, the longitudinal distance between each layer above and below the horizontal wellbore and the horizontal wellbore is determined, and the supply radius is obtained.

[0032] Step S2: Define the set of sand control completion process parameters and the set of unblocking process parameters. Based on the completed geological data and reservoir parameters, establish a horizontal well productivity model, including: The sand control completion process parameters are defined as set A. Set A contains multiple parameters corresponding to different sand control completion processes, including: sand control screen outer diameter, screen slot parameters, densely packed gravel permeability, and gravel filling rate parameters. The unblocking process parameters are defined as set B, which includes multiple parameters corresponding to different unblocking processes, including: reservoir contamination unblocking radius, reservoir contamination blockage removal rate, unblocking well section distribution, and unblocking pressure parameters.

[0033] A horizontal well geometric model is established based on the wellbore trajectory from the completed geological data. Reservoir parameters are imported into the geometric model to obtain the horizontal section attribute model, and a horizontal well productivity model is established.

[0034] Among them, the epidermal coefficient Skin coefficient of sand control completion and reservoir contamination skin coefficient Composition, skin coefficient of sand control completion The reservoir contamination skin coefficient was calculated based on the defined set of sand control completion process parameters A. The calculation is based on the defined set of unblocking process parameters B.

[0035] Step S2 specifically includes: Define sand control completion process parameters: Sand control completion technologies include: independent screen pipe technology, forward filling technology, reverse filling technology, and segmented filling technology. Define the parameters of the sand control completion process as set A, where set A includes the following parameters: A1 outer diameter of the sand control screen pipe, corresponding parameters ,m; A2 screen slot parameters, corresponding The width of the slot in the sand-proof screen pipe is in meters (m). The length of the slit in the sand screen tube is measured in meters (m). The density of the screen pipe slots in this well section. ; A3 densely packed gravel permeability, corresponding parameter ; A4 gravel filling rate, corresponding parameters Decimals; Among them, the process parameter corresponding to the independent screen tube process is A1 outer diameter of the sand control screen tube; the process parameter corresponding to the forward filling process is A2 screen gap parameter; the process parameter corresponding to the reverse filling process is A3 permeability of tightly packed gravel; and the process parameter corresponding to the segmented filling process is A4 gravel filling rate.

[0036] Define unblocking process parameters: Unblocking processes include: uniform jetting process, circulating well washing process, injection of unblocking agent process, and negative pressure flowback process. Define the unblocking process parameters as set B, where set B includes the following parameters: B1 reservoir contamination unblocking radius, corresponding parameters ; B2 reservoir contamination and blockage removal rate, corresponding parameters ; Distribution of unblocked well sections in B3, corresponding parameters ; B4 unblocking pressure, affected by parameters , Influence; Among them, the process parameter corresponding to the uniform jet process is B1, which is the reservoir contamination unblocking radius; the process parameter corresponding to the circulating well washing process is B2, which is the reservoir contamination unblocking rate; the process parameter corresponding to the squeezing unblocking agent injection process is B3, which is the distribution of the unblocked well section; and the process parameter corresponding to the negative pressure backflow process is B4, which is the unblocking pressure.

[0037] Establishment of horizontal well productivity model: Based on the wellbore trajectory in the completed geological data, a geometric model of the horizontal well and the nearby reservoir is established. The reservoir physical property parameters calculated in step S1 are imported into the geometric model to obtain a horizontal section attribute model that considers the reservoir physical properties and the influence of the horizontal well trajectory. A horizontal well with a length of L is established. The horizontal well productivity model is as follows:

[0038] The horizontal well section, from the toe to the heel, is divided into n smaller segments, among which... The length of each horizontal well section is m; The permeability distribution of each segment along the drilling trajectory, reservoir fluid viscosity mPa·s The supply radius is in meters (m). The radius of the wellbore in this section is given in meters (m). The reservoir pressure is expressed in MPa. The bottom pressure of the i-th segment is ____ MPa; the skin coefficient is ____. .

[0039] Skin coefficient calculation: in the productivity model Let be the skin coefficient of the i-th horizontal well segment, which is dimensionless, and the calculation formula is as follows:

[0040] in: The skin factor for sand control well completion is dimensionless. The reservoir contamination skin coefficient is dimensionless.

[0041] Step S3: Based on the horizontal well productivity model and with the maximum productivity of the horizontal well as the objective, determine the optimal parameters in the sand control completion process parameter set and the unblocking process parameter set, including: the maximum productivity calculated by the horizontal well productivity model. To optimize the objective, the optimal values ​​of each parameter in the sand control completion process parameter set A and the optimal values ​​of each parameter in the unblocking process parameter set B are determined by reverse engineering the horizontal well productivity model, thus obtaining the optimal set of sand control completion process parameters and unblocking process parameters that maximize the horizontal well productivity.

[0042] Step S3 specifically includes: The maximum productivity of the horizontal well section calculated in step 2 To achieve the analysis objective, maximize production capacity. The optimal parameter combination of the sand control completion process parameter set A and the unblocking process parameter set B is determined in reverse. The optimal values ​​of the specific parameters A1, A2, A3 and A4 of the sand control completion process and the specific values ​​of the unblocking process parameters B1, B2, B3 and B4 are determined.

[0043] Step S4: Define the set of production process parameters. Based on the horizontal well production capacity model and with the maximum production capacity of the horizontal well as the objective, determine the optimal parameters in the set of production process parameters, including: defining the production process parameters as set C, which contains multiple parameters corresponding to the production process, including: stroke. Strike Pump efficiency and pump diameter D; The maximum production capacity of this well section is calculated based on the horizontal well production capacity model. Based on relevant process standards, the value range of each parameter in the production process parameter set C is determined, and the stroke that maximizes production capacity is obtained through calculation. Strike Pump efficiency The optimal parameter values ​​for pump diameter D.

[0044] Step S4 specifically includes: The maximum production capacity of this well section is calculated based on the horizontal well production capacity model. The range of values ​​for each parameter in the set C of process parameters for production is determined by combining process standards. The stroke that maximizes production capacity is obtained through calculation. Strike Pump efficiency The optimal parameter values ​​for pump diameter D are determined, and the parameter calculations must ensure that the following relationship is satisfied:

[0045] By establishing the constraint relationship between the production process parameters and the maximum production capacity of the horizontal well through relational formulas, and under the premise of meeting the mechanical oil recovery process standards, the stroke that maximizes production capacity is solved. Strike Pump efficiency The parameter combination with pump diameter D.

[0046] Step S5: Based on the optimal parameters in the determined set of sand control completion process parameters, unblocking process parameters, and production process parameters, select and apply the corresponding sand control completion process, unblocking process, and production process, including: The optimal parameters determined from the sets of sand control completion process parameters, unblocking process parameters, and production process parameters are compared with the corresponding production process standards. Based on the correspondence between parameters and processes, the corresponding sand control completion process, unblocking process, and production process are selected. Finally, the process combination that matches each optimal parameter is determined and implemented.

[0047] Step S5 specifically includes: The optimal values ​​of each parameter in the determined set of sand control completion process parameters are compared with the sand control completion process standard. Based on the correspondence between parameters and processes, one or more sand control completion processes that need to be applied in practice are selected. The optimal values ​​of each parameter in the determined set of unblocking process parameters are compared with the unblocking process standard, and one or more unblocking processes that need to be applied are selected according to the correspondence between parameters and processes. The optimal values ​​of each parameter in the determined set of production process parameters are compared with the production process standards to determine the final production process scheme. Through the above comparison and selection process, the combination of sand control completion technology, unblocking technology and production technology that matches the optimal parameters was finally determined and implemented.

[0048] Example 3 A system for a rapid sand control completion design method for horizontal wells based on geological interpretation is characterized by comprising: a reservoir parameter acquisition module: acquiring reservoir parameters of the horizontal well section based on the interpretation of completed geological data; a process parameter definition and production capacity modeling module: defining a set of sand control completion process parameters and a set of unblocking process parameters, and establishing a horizontal well production capacity model based on the completed geological data and reservoir parameters; a sand control and unblocking process parameter optimization module: determining the optimal parameters in the sand control completion process parameter set and the unblocking process parameter set based on the horizontal well production capacity model and with the maximum production capacity of the horizontal well as the objective; a production process parameter optimization module: defining a production process parameter set, determining the optimal parameters in the production process parameter set based on the horizontal well production capacity model and with the maximum production capacity of the horizontal well as the objective; and a completion process decision and implementation module: selecting and applying the corresponding sand control completion process, unblocking process, and production process based on the optimal parameters in the determined sand control completion process parameter set, unblocking process parameter set, and production process parameter set.

[0049] The technical features of this invention not described can be implemented by or using existing technology, and will not be repeated here. Of course, the above description is not a limitation of this invention, and this invention is not limited to the examples above. Any changes, modifications, additions or substitutions made by those skilled in the art within the scope of this invention should also be within the protection scope of this invention.

Claims

1. A rapid sand control completion design method for horizontal wells based on geological interpretation, characterized in that, include: Step S1: Obtain reservoir parameters for the horizontal well section based on the interpretation of completed geological data; Step S2: Define the set of sand control completion process parameters and the set of unblocking process parameters, and establish a horizontal well productivity model based on the completed geological data and the reservoir parameters; Step S3: Based on the horizontal well productivity model and with the maximum productivity of the horizontal well as the objective, determine the optimal parameters in the set of sand control completion process parameters and the set of unblocking process parameters; Step S4: Define the set of production process parameters, and based on the horizontal well productivity model and with the maximum productivity of the horizontal well as the objective, determine the optimal parameters in the set of production process parameters. Step S5: Select and apply the corresponding sand control completion process, unblocking process, and production process based on the optimal parameters in the determined set of sand control completion process parameters, unblocking process parameters, and production process parameters. The reservoir parameters obtained from the interpretation of the completed geological data include: based on various logging data in the completed geological data, reservoir physical property parameters such as porosity distribution with drilling trajectory, clay content distribution with drilling trajectory, saturation distribution with drilling trajectory, permeability distribution with drilling trajectory, and reservoir fluid viscosity are calculated. And based on the completed geological and engineering data, obtain dynamic reservoir parameters including reservoir pressure, bottom hole pressure, and supply radius; The various logging data include at least sonic transit time data, density logging data, resistivity data, spontaneous potential data, and natural gamma data; The defined sets of sand control completion process parameters and unblocking process parameters include: The sand control completion process parameters are defined as set A. Set A includes multiple parameters corresponding to different sand control completion processes, including: sand control screen outer diameter, screen slot parameters, densely packed gravel permeability, and gravel filling rate parameters. The unblocking process parameters are defined as set B, which includes multiple parameters corresponding to different unblocking processes, including: reservoir contamination unblocking radius, reservoir contamination blockage removal rate, unblocking well section distribution, and unblocking pressure parameters. Establishing a horizontal well productivity model based on the completed geological data and reservoir parameters includes: establishing a horizontal well geometric model based on the wellbore trajectory in the completed geological data; importing the reservoir parameters into the geometric model to obtain a horizontal section attribute model; and establishing the horizontal well productivity model. The horizontal well section, from the toe to the heel, is divided into n smaller segments, among which... The length of each horizontal well section is m; The permeability distribution of each segment along the drilling trajectory, reservoir fluid viscosity mPa·s The supply radius is in meters (m). The radius of the wellbore in this section is given in meters (m). The reservoir pressure is expressed in MPa. Here, represents the bottom-hole pressure of the i-th segment, in MPa; and the skin coefficient. ; Among them, the epidermal coefficient Skin coefficient of sand control completion and reservoir contamination skin coefficient Composition, the skin coefficient of the sand control completion The reservoir skin contamination coefficient is calculated based on the defined set of sand control completion process parameters A. The calculation is based on the defined set of unblocking process parameters B.

2. The method for rapid sand control completion design of horizontal wells based on geological interpretation according to claim 1, characterized in that, Based on the horizontal well productivity model and with the maximum productivity of the horizontal well as the objective, the optimal parameters in the sand control completion process parameter set and the unblocking process parameter set are determined, including: the maximum productivity calculated using the horizontal well productivity model. To optimize the objective, the optimal values ​​of each parameter in the sand control completion process parameter set A and the optimal values ​​of each parameter in the unblocking process parameter set B are determined by reverse analysis using the horizontal well productivity model, thereby obtaining the optimal combination of sand control completion process parameters and unblocking process parameters that maximizes the horizontal well productivity.

3. The method for rapid sand control completion design of horizontal wells based on geological interpretation according to claim 2, characterized in that, The set of production process parameters is defined as follows: The production process parameters are defined as set C, which contains multiple parameters corresponding to the production process, including: stroke. Strike Pump efficiency And pump diameter D.

4. The rapid sand control completion design method for horizontal wells based on geological interpretation according to claim 3, characterized in that, Based on the horizontal well productivity model and with the maximum productivity of the horizontal well as the objective, the optimal parameters in the set of production process parameters are determined as follows: The maximum production capacity of this well section is calculated based on the horizontal well production capacity model. Based on relevant process standards, the value range of each parameter in the production process parameter set C is determined, and the stroke that maximizes production capacity is obtained through calculation. Strike Pump efficiency The optimal parameter values ​​for pump diameter D.

5. The rapid sand control completion design method for horizontal wells based on geological interpretation according to claim 4, characterized in that, Based on the optimal parameters from the determined sets of sand control completion process parameters, unblocking process parameters, and production process parameters, select and apply the corresponding sand control completion process, unblocking process, and production process, including: The optimal parameters determined from the set of sand control completion process parameters, unblocking process parameters, and production process parameters are compared with the corresponding production process standards. Based on the correspondence between parameters and processes, the corresponding sand control completion process, unblocking process, and production process are selected. Finally, the process combination that matches each optimal parameter is determined and implemented.

6. A system employing the rapid sand control completion design method for horizontal wells based on geological interpretation as described in any one of claims 1-5, characterized in that, include: Reservoir parameter acquisition module: Acquires reservoir parameters in horizontal well sections based on the interpretation of completed geological data; Process parameter definition and production capacity modeling module: Defines the set of sand control completion process parameters and the set of unblocking process parameters, and establishes a horizontal well production capacity model based on the completed geological data and the reservoir parameters; Sand control and unblocking process parameter optimization module: Based on the horizontal well productivity model and with the highest productivity of the horizontal well as the objective, determine the optimal parameters in the sand control completion process parameter set and the unblocking process parameter set; Production process parameter optimization module: Defines a set of production process parameters, and determines the optimal parameters in the set of production process parameters based on the horizontal well production capacity model and with the maximum production capacity of the horizontal well as the objective; Well completion process decision and implementation module: Based on the optimal parameters in the determined set of sand control well completion process parameters, unblocking process parameters, and production process parameters, select and apply the corresponding sand control well completion process, unblocking process, and production process.

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