Multi-element heterogeneous stratum anti-drilling attribute comprehensive analysis processing method, system, medium and equipment

Abstract

The invention relates to a multi-element heterogeneous stratum anti-drilling attribute comprehensive analysis processing method, system, medium and equipment, and the method comprises the following steps: obtaining anti-drilling attribute data actually measured on site, and carrying out data standardization processing on the anti-drilling attribute data to form a standardized basic data warehouse; storing the standardized data in the standardized basic data warehouse; performing stratum anti-drilling parameter reconstruction based on the standardized basic database to form a stratum anti-drilling parameter warehouse of the target area; classifying the data in the stratum anti-drilling parameter warehouse to obtain classified data; fusing the classified data to obtain visual data of anti-drilling parameter classification fusion; and displaying the visual data. According to the method, interactive application of drilling resistance attributes of different types of stratums is realized, the understanding difference and technical barrier of drilling resistance of different professional stratums are solved, and technical support is provided for deeply understanding the drilling resistance characteristics of regional stratums, implementing field drilling operation and the like.

Description

Technical Field

[0001] This invention relates to the field of petroleum exploration technology, and more specifically, to a method, system, medium, and equipment for comprehensive analysis and processing of the drilling resistance properties of multi-component heterogeneous formations. Background Technology

[0002] At present, in the process of oil exploration and development, the formation drill resistance data from different sources, such as field engineering understanding results, indoor well logging geological research results, and seismic understanding results, are not interconnected. There are technical barriers between different fields or systems, which makes it difficult to carry out in-depth understanding of the drill resistance characteristics of regional blocks and the implementation of field drilling operations. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a method, system, medium and equipment for comprehensive analysis and processing of the drilling resistance properties of multi-heterogeneous formations, addressing the problems existing in the prior art.

[0004] The technical solution adopted by this invention to solve its technical problem is: to construct a comprehensive analysis and processing method for the drilling resistance properties of multi-element heterogeneous formations, including the following steps:

[0005] Obtain drill resistance attribute data measured on-site, and perform data standardization processing on the drill resistance attribute data to form a standardized basic data warehouse;

[0006] The standardized data in the standardized basic data warehouse is stored;

[0007] Based on the standardized basic database, formation drill resistance parameters are reconstructed to form a database of formation drill resistance parameters for the target area.

[0008] The data in the formation drill resistance parameter warehouse are classified to obtain classified data;

[0009] The classified data are fused to obtain visualized data of drill resistance parameter classification fusion;

[0010] The visualized data is then presented.

[0011] In the multi-dimensional heterogeneous formation drilling resistance attribute comprehensive analysis and processing method described in this invention, the drilling resistance attribute data includes: structured dataset, seismic dataset, well logging dataset, model dataset, and engineering dataset.

[0012] In the comprehensive analysis and processing method for the drilling resistance properties of multi-heterogeneous formations described in this invention, the structured dataset includes data from any one or more formats of field operation records, such as txt, excel, and word files.

[0013] The seismic dataset includes: two-dimensional and / or three-dimensional segy seismic data measured during the exploration and development phase;

[0014] The well logging dataset includes: field geological well logging data;

[0015] The model dataset includes: the target area and existing geological or static stratigraphic property model data;

[0016] The engineering dataset includes drilling operation data.

[0017] In the comprehensive analysis and processing method for multi-heterogeneous formation drilling resistance attributes described in this invention, the step of reconstructing formation drilling resistance parameters based on the standardized basic database to form a formation drilling resistance parameter repository for the target area includes:

[0018] Based on the standardized basic database, the rock formation drilling resistance parameters of rocks at different depths in the target area are reconstructed and calculated using a mathematical model for calculating rock drilling resistance parameters, thereby obtaining the formation drilling resistance parameter warehouse.

[0019] In the comprehensive analysis and processing method of multi-heterogeneous formation anti-drilling properties described in this invention, the rock formation anti-drilling parameters include: Young's modulus, Poisson's ratio, bulk modulus, shear modulus, clay content, compressive strength, rock hardness, shear strength, and internal friction angle.

[0020] The mathematical models for calculating rock drill resistance parameters include: Young's modulus calculation model, Poisson's ratio calculation model, bulk modulus calculation model, shear modulus calculation model, clay content calculation model, compressive strength calculation model, rock hardness calculation model, shear strength calculation model, and internal friction angle calculation model.

[0021] In the comprehensive analysis and processing method for the drilling resistance properties of multi-heterogeneous formations described in this invention, the step of classifying the data in the formation drilling resistance parameter warehouse to obtain classified data includes:

[0022] The various types of data in the formation drill resistance parameter warehouse are classified according to time, type and spatial dimension to obtain the classified data.

[0023] In the comprehensive analysis and processing method for the drilling resistance attributes of multi-heterogeneous formations described in this invention, the step of fusing the classified data to obtain visualized data of drill resistance parameter classification fusion includes:

[0024] The categorized data is fused according to time, one-dimensional, two-dimensional, and three-dimensional dimensions to obtain the visualized data.

[0025] This invention also provides a comprehensive analysis and processing system for the drilling resistance properties of multi-component heterogeneous formations, comprising:

[0026] The basic data generation unit is used to acquire the drill resistance attribute data measured on site, and to perform data standardization processing on the drill resistance attribute data to form a standardized basic data warehouse.

[0027] A data storage unit is used to store standardized data in the standardized basic data warehouse.

[0028] The data reconstruction unit is used to reconstruct formation drill resistance parameters based on the standardized basic database to form a formation drill resistance parameter warehouse for the target area.

[0029] The data classification unit is used to classify the data in the formation drill resistance parameter warehouse to obtain classified data;

[0030] The data visualization fusion unit is used to fuse the classified data to obtain visualized data of drill resistance parameter classification fusion;

[0031] A visualization data display unit is used to display the visualization data.

[0032] The present invention also provides a storage medium storing a computer program adapted for loading by a processor to execute the steps of the comprehensive analysis and processing method for the anti-drilling properties of multi-heterogeneous formations as described above.

[0033] The present invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the steps of the multi-heterogeneous strata drilling resistance property comprehensive analysis and processing method as described above by calling the computer program stored in the memory.

[0034] The method, system, medium, and equipment for comprehensive analysis and processing of multi-heterogeneous formation drill resistance attributes of the present invention have the following beneficial effects: The method includes the following steps: acquiring field-measured drill resistance attribute data and standardizing the data to form a standardized basic data warehouse; storing the standardized data in the basic data warehouse; reconstructing formation drill resistance parameters based on the standardized basic database to form a formation drill resistance parameter warehouse for the target area; classifying the data in the formation drill resistance parameter warehouse to obtain classified data; fusing the classified data to obtain visualized data of drill resistance parameter classification and fusion; and displaying the visualized data. This invention enables the interactive application of drill resistance attributes of different types of formations, resolves differences in understanding and technical barriers in the drill resistance properties of formations from different professional backgrounds, and provides technical support for in-depth understanding of regional formation drill resistance characteristics and the implementation of field drilling operations. Attached Figure Description

[0035] The present invention will be further described below with reference to the accompanying drawings and embodiments. In the accompanying drawings:

[0036] Figure 1 This is a flowchart illustrating the comprehensive analysis and processing method for the drilling resistance properties of multi-heterogeneous formations provided in this embodiment of the invention.

[0037] Figure 2 This is a logic block diagram of the multi-heterogeneous formation drilling resistance attribute comprehensive analysis and processing system provided in the embodiments of the present invention. Detailed Implementation

[0038] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0039] This invention provides a comprehensive analysis and processing method for the drilling resistance properties of multi-dimensional heterogeneous formations. It is a convergence analysis method based on a series of formation drilling resistance property related data such as structured data, seismic data, well logging data, model data, and engineering data. After decompilation, parsing, and loading of various types of data, it performs standardized processing and storage, thereby enabling the interactive application of drilling resistance properties of different types of formations. This method solves the differences in understanding and technical barriers of formation drilling resistance among different professions, and provides reliable technical support for in-depth understanding of regional formation drilling resistance characteristics and implementation of on-site drilling control operations.

[0040] refer to Figure 1 In a preferred embodiment, the method for comprehensive analysis and processing of the drilling resistance properties of multi-component heterogeneous formations includes the following steps:

[0041] Step S101: Obtain the drill resistance attribute data measured on-site, and perform data standardization processing on the drill resistance attribute data to form a standardized basic data warehouse.

[0042] In some embodiments, the field-measured drill resistance attribute data includes, but is not limited to: structured datasets, seismic datasets, well logging datasets, model datasets, and engineering datasets. Structured datasets can be loaded directly, seismic and well logging datasets need to be decompiled, model data needs to be parsed, and engineering data can be received directly by interfacing with the corresponding engineering system.

[0043] Specifically, structured datasets include data in one or more formats such as TXT, Excel, and Word files, representing on-site work records. In other words, structured datasets primarily consist of on-site work records and related data in TXT, Excel, and Word formats.

[0044] The seismic dataset includes two-dimensional and / or three-dimensional segy seismic data measured during the exploration and development phases.

[0045] Well logging datasets include: field geological well logging data. In other words, well logging datasets are data based on field geological well logging data, including but not limited to: natural gamma ray, sonic transit time, density, resistivity, clay content, lithology, etc., in WIS and LAS formats.

[0046] The model dataset includes: the target area and existing geological or static stratigraphic property model volume data. This model volume data includes, but is not limited to, grdecl format and data format.

[0047] Engineering datasets include drilling operation data. In other words, engineering datasets are data focused on drilling operations, including but not limited to: drilling speed, drilling pressure, rotational speed, HEI effective bit water power, drilling fluid density, etc., typically represented in .witsml format.

[0048] Step S102: Store the standardized data in the standardized basic data warehouse.

[0049] Specifically, after a standardized basic data warehouse is formed in step S101, it is stored to form basic data for subsequent data processing.

[0050] Step S103: Reconstruct formation drill resistance parameters based on a standardized basic database to form a formation drill resistance parameter repository for the target area.

[0051] In some embodiments, reconstructing formation drill resistance parameters based on a standardized basic database to form a formation drill resistance parameter repository for the target area includes: reconstructing and calculating the rock formation drill resistance parameters of rocks at different depths in the target area using a mathematical model for calculating rock drill resistance parameters based on the standardized basic database, thereby obtaining the formation drill resistance parameter repository. Alternatively, in other embodiments, the calculated rock formation drill resistance parameters can be directly applied to form the formation drill resistance parameter repository.

[0052] Optionally, the rock formation's drill resistance parameters include, but are not limited to: Young's modulus, Poisson's ratio, bulk modulus, shear modulus, clay content, compressive strength, rock hardness, shear strength, and internal friction angle. Correspondingly, the mathematical models for calculating these parameters include: mathematical models for calculating Young's modulus, Poisson's ratio, bulk modulus, shear modulus, clay content, compressive strength, rock hardness, shear strength, and internal friction angle.

[0053] The mathematical model for calculating Young's modulus is as follows:

[0054]

[0055] (1) In the formula, E: Young's modulus; m / s; V s : Shear wave velocity, m / s; ρ: Density, g / cm³ 3 K: bulk modulus; μ: Poisson's ratio; G: shear modulus.

[0056] The mathematical model for calculating Poisson's ratio is:

[0057]

[0058] (2) Where μ is Poisson's ratio; V p Longitudinal wave velocity, m / s; V s : Shear wave velocity, m / s.

[0059] The mathematical model for calculating bulk modulus is:

[0060]

[0061] (3) In the formula, K: bulk modulus; V p Longitudinal wave velocity, m / s; V s : Shear wave velocity, m / s; ρ: Density, g / cm³ 3 .

[0062] The mathematical model for calculating shear modulus is as follows:

[0063] G = ρV s 2 (4);

[0064] (4) Where G is the shear modulus; V is the shear modulus. s : Shear wave velocity, m / s; ρ: Density, g / cm³ 3 .

[0065] The mathematical model for calculating clay content is as follows:

[0066]

[0067] (5) In the formula, V sh : mud content; V sh(org) : Clay content before correction, %; G CUR Hilchie index: 3.7 for new strata and 2 for old strata.

[0068] Mathematical model for compressive strength calculation:

[0069]

[0070] (6) In the formula, σ c : compressive strength; μd : Dynamic Poisson's ratio; ρ: Formation density, g / cm³ 3 ;v P Longitudinal wave velocity, km / s; V ci : Mud content.

[0071] The mathematical model for calculating rock hardness is as follows:

[0072] P y =26360e -0.0606Δt (7);

[0073] (7) In the formula, P y : Rock hardness; Δt: Acoustic transit time, μs / ft.

[0074] The mathematical model for calculating shear strength is as follows:

[0075]

[0076] (8) Where SS: shear strength; μ d : Dynamic Poisson's ratio; ρ: Formation density, g / cm³ 3 ;v P Longitudinal wave velocity, km / s; V sh Corrected clay content, %.

[0077] The mathematical model for calculating the internal friction angle is:

[0078] φ=82.019e -0.016Δt (9);

[0079] (9) In the formula, φ: internal friction angle; Δt is the sound wave time difference, μs / ft.

[0080] Step S104: Classify the data in the formation drill resistance parameter warehouse to obtain classified data.

[0081] In some embodiments, classifying the data in the formation drilling resistance parameter warehouse to obtain classified data includes: classifying various types of data in the formation drilling resistance parameter warehouse according to time, type, and spatial dimensions to obtain classified data. Specifically, classifying various types of data in the formation drilling resistance parameter warehouse according to time, type, and spatial dimensions to suggest a relational data warehouse to obtain classified data.

[0082] Step S105: Merge the categorized data to obtain visualized data of drill resistance parameter categorization fusion.

[0083] In some embodiments, fusing categorized data to obtain visualized data of drill resistance parameter fusion includes fusing categorized data according to time, one-dimensional, two-dimensional, and three-dimensional dimensions to obtain visualized data. Specifically, the obtained categorized data is visualized and displayed to obtain visualized data. That is, information can be displayed according to different scales such as time, one-dimensional, two-dimensional, and three-dimensional dimensions.

[0084] Step S106: Display the visualized data.

[0085] Optionally, data of various dimensions and scales can be directly visualized, or data of various dimensions and scales can be overlaid in three dimensions.

[0086] refer to Figure 2 The present invention also provides a comprehensive analysis and processing system for the drilling resistance properties of multi-element heterogeneous formations.

[0087] like Figure 2 As shown, the comprehensive analysis and processing system for the drilling resistance properties of multi-element heterogeneous formations includes:

[0088] The basic data generation unit 201 is used to acquire the drill resistance attribute data measured on site, and to perform data standardization processing on the drill resistance attribute data to form a standardized basic data warehouse.

[0089] Data storage unit 202 is used to store standardized data in a standardized basic data warehouse.

[0090] Data reconstruction unit 203 is used to reconstruct formation drill resistance parameters based on a standardized basic database to form a formation drill resistance parameter warehouse for the target area.

[0091] Data classification unit 204 is used to classify the data in the formation drill resistance parameter warehouse to obtain classified data.

[0092] The data visualization fusion unit 205 is used to fuse classified data to obtain visualized data of drill resistance parameter classification fusion.

[0093] The visualization data display unit 206 is used to display visualization data.

[0094] The following is a specific example to illustrate this.

[0095] Example 1: The target area is block C35.

[0096] Model the drill resistance properties of the C35 area.

[0097] A three-dimensional formation drillability property model was created by comprehensively applying seismic, geological, and well logging data. This model includes structural, facies, rock hardness, compressive strength, drillability, porosity, permeability, and water saturation models. Verification showed that the structural model matches the seismically interpreted stratigraphic levels and geological layers, and the distribution characteristics of the property models are consistent with sedimentary facies and well logging curves. Details are shown in Table 1 below.

[0098] Table 1

[0099]

[0100] Example 2: The target area is block J50.

[0101] Model the drill resistance properties of the land parcels in the J50 area.

[0102] A three-dimensional formation drillability property model was created by comprehensively applying seismic, geological, and well logging data. This model includes structural models, lithofacies models, Poisson's ratio models, rock hardness models, compressive strength models, drillability models, porosity models, permeability models, and sonic transit time models. Verification showed that the structural model matches the seismic interpretation horizons and geological strata, and the property models are consistent in distribution at well points and in well logging data. The model is constrained by the seismic data volume between wells and exhibits trends consistent with the seismic inversion data volume. Details are shown in Table 2.

[0103] Table 2

[0104]

[0105] Example 3: The target area is block T4.

[0106] Model the drill resistance properties of the T4 area.

[0107] A three-dimensional formation drillability property model was created by comprehensively applying seismic, geological, and well logging data. This model includes structural models, Poisson's ratio models, drillability models, porosity models, and permeability models. Verification showed that the structural model matched the seismic interpretation horizons and geological strata, and the property model distribution was consistent with the well point and well logging data. Details are shown in Table 3.

[0108] Table 3

[0109]

[0110]

[0111] As can be seen from the above examples, this invention establishes a comprehensive analysis and processing method for the drilling resistance properties of multi-dimensional heterogeneous formations by studying a series of formation drilling resistance property-related data, including structured data, seismic data, well logging data, model data, and engineering data. This method solves the problem of visual fusion of formation drilling resistance property data from different sources, provides rapid technical support for in-depth understanding of regional formation drilling resistance characteristics and implementation of on-site drilling operations, improves the efficiency of on-site drilling operations, thereby saving costs and bringing certain economic benefits.

[0112] Specifically, the specific coordination process between the units in the multi-heterogeneous strata drilling resistance attribute comprehensive analysis and processing system can be referred to the above-mentioned multi-heterogeneous strata drilling resistance attribute comprehensive analysis and processing method, and will not be repeated here.

[0113] Furthermore, an electronic device of the present invention includes a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program to implement the comprehensive analysis and processing method for the anti-drilling properties of multi-heterogeneous formations as described above. Specifically, according to embodiments of the present invention, the processes described above with reference to the flowchart can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowchart. In such embodiments, when the computer program is downloaded, installed, and executed by an electronic device, it performs the functions defined above in the methods of the embodiments of the present invention. The electronic device in the present invention can be a terminal such as a laptop, desktop computer, tablet computer, or smartphone, or it can be a server.

[0114] Furthermore, one type of storage medium of the present invention stores a computer program, which, when executed by a processor, implements the comprehensive analysis and processing method for the multi-element heterogeneous formation anti-drilling properties described above. Specifically, it should be noted that the storage medium described above in the present invention can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or apparatus. In the present invention, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. The transmitted data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0115] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device.

[0116] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0117] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0118] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0119] The above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the content of the present invention and implement it accordingly. They do not limit the scope of protection of the present invention. All equivalent changes and modifications made within the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. A method for comprehensive analysis and processing of drilling properties of a polydisperse heterogeneous formation, characterized in that, The method comprises the following steps: obtaining field measured drilling resistance attribute data, and performing data standardization processing on the drilling resistance attribute data to form a standardized basic data warehouse; storing the standardized data in the standardized basic data warehouse; reconstructing formation drilling resistance parameters based on the standardized basic database to form a formation drilling resistance parameter warehouse of a target region; classifying the data in the formation drilling resistance parameter warehouse to obtain classified data; fusing the classified data to obtain visualized data of drilling resistance parameter classification fusion; displaying the visualized data.

2. The method according to claim 1, wherein, The drilling resistance attribute data comprises a structured data set, a seismic data set, a logging data set, a model data set and an engineering data set.

3. The method according to claim 2, wherein, The structured data set comprises data in any one or more of txt format files, excel format files and word format files of field operation records; The seismic data set comprises two-dimensional and / or three-dimensional segy seismic data measured in exploration and development stages; The logging data set comprises field geological logging data; The model data set comprises existing geological or static formation attribute model body data of the target region; The engineering data set comprises drilling operation data.

4. The method according to claim 1, wherein, The reconstructing formation drilling resistance parameters based on the standardized basic database to form the formation drilling resistance parameter warehouse of the target region comprises: based on the standardized basic database, reconstructing and calculating rock formation drilling resistance parameters of rock formations at different depths in the target region by using a rock drilling resistance parameter calculation mathematical model to obtain the formation drilling resistance parameter warehouse.

5. The method according to claim 4, wherein, The rock formation drilling resistance parameters comprise Young's modulus, Poisson's ratio, bulk modulus, shear modulus, shale content, compressive strength, rock hardness, shear strength and internal friction angle; The rock drilling resistance parameter calculation mathematical model comprises Young's modulus calculation mathematical model, Poisson's ratio calculation mathematical model, bulk modulus calculation mathematical model, shear modulus calculation mathematical model, shale content calculation mathematical model, compressive strength calculation mathematical model, rock hardness calculation mathematical model, shear strength calculation mathematical model and internal friction angle calculation mathematical model.

6. The method according to any one of claims 1-5, wherein, The classifying the data in the formation drilling resistance parameter warehouse to obtain classified data comprises: classifying each type of data in the formation drilling resistance parameter warehouse according to time, type and spatial dimensions to obtain the classified data.

7. The method according to claim 6, wherein, The fusing the classified data to obtain visualized data of drilling resistance parameter classification fusion comprises: fusing the classified data according to time, one dimension, two dimensions and three dimensions to obtain the visualized data.

8. A multi-lateral heterogeneous formation anti-drillability integrated analysis processing system, characterized in that, The method comprises the following steps: a basic data generation unit for obtaining field measured drilling resistance attribute data, and performing data standardization processing on the drilling resistance attribute data to form a standardized basic data warehouse; a data storage unit for storing the standardized data in the standardized basic data warehouse; a data reconstruction unit for reconstructing formation drilling resistance parameters based on the standardized basic database to form a formation drilling resistance parameter warehouse of a target region; a data classification unit, configured to classify data in the formation drilling resistance parameter warehouse to obtain classified data; a data visualization fusion unit, configured to fuse the classified data to obtain visualized data of drilling resistance parameter classification fusion; a visualized data display unit, configured to display the visualized data.

9. A storage medium, characterized by The storage medium stores a computer program, and the computer program is adapted to be loaded by the processor to execute the steps of the multi-element heterogeneous formation drilling resistance attribute comprehensive analysis processing method according to any one of claims 1 to 7.

10. An electronic device, comprising: The device comprises a memory and a processor, and the memory stores a computer program. The processor executes the steps of the multi-element heterogeneous formation drilling resistance attribute comprehensive analysis processing method according to any one of claims 1 to 7 by calling the computer program stored in the memory.

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