Data processing method and device for PDC drill bit

Abstract

The present invention discloses a data processing method and device for a PDC drill bit. The method comprises: using a PDC drill bit to perform drilling operations on a target layer, and obtaining drilling motion data collected by a data sensor on the PDC drill bit during the drilling operation; after the PDC drill bit completes the drilling operation on the target layer, determining the wear data of the PDC drill bit; adjusting the structural features of the PDC drill bit according to the drilling motion data and the wear data to obtain target structural features, and using the PDC drill bit with the target structural features to perform drilling operations. The present invention solves the technical problem that the drilling design method in the prior art cannot meet the needs of users.

Description

Technical Field

[0001] The present invention relates to the field of exploration, and in particular to a data processing method and device for a PDC drill bit. Background Art

[0002] With the continuous deepening of oil and gas field exploration and development, the strata encountered are becoming more and more complex, and the corresponding drilling difficulty is becoming greater and greater. In order to save the comprehensive drilling cost, higher requirements are placed on the quality of PDC drill bits.

[0003] The existing PDC bit design method relies only on laboratory rock composition analysis and drillability analysis, and the appearance judgment of the wear characteristics of the drill bit in the early application, and the drill bit is designed based on empirical theory. There is no data analysis that directly reflects the drill bit movement status after the drill bit is used, and it is impossible to have a more comprehensive understanding of the relationship between the drill bit performance and the formation lithology, drilling tool combination and drilling parameters. There is also no data-based theoretical analysis for the personalized improvement of the drill bit performance.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiment of the present invention provides a data processing method and device for a PDC drill bit, so as to at least solve the technical problem that the drilling design method in the prior art cannot meet the user's needs.

[0006] According to one aspect of an embodiment of the present invention, a data processing method for a PDC drill bit is provided, comprising: using a PDC drill bit to perform a drilling operation on a target layer, and obtaining drilling motion data collected by a data sensor on the PDC drill bit during the drilling operation; after the PDC drill bit completes the drilling operation on the target layer, determining the wear data of the PDC drill bit; adjusting the structural characteristics of the PDC drill bit according to the drilling motion data and the wear data to obtain target structural characteristics, and using the PDC drill bit with the target structural characteristics to perform the drilling operation.

[0007] Optionally, according to the drilling motion data and the wear data, the structural characteristics of the PDC drill bit are adjusted to obtain target structural characteristics, including: judging whether the PDC drill bit meets preset conditions according to the drilling motion data and the wear data; if the PDC drill bit meets the preset conditions, determining that the structural characteristics of the PDC drill bit are target structural characteristics; if the PDC drill bit does not meet the preset conditions, adjusting the structural characteristics of the PDC drill bit based on the drilling motion data and the wear data until the PDC drill bit meets the preset conditions.

[0008] Optionally, judging whether the PDC drill bit meets preset conditions based on the drilling motion data and the wear data includes: performing big data processing on the drilling motion data to establish a correlation between the drilling motion data and the formation parameters of the target layer, the drilling parameters of the target layer, and the drill tool combination; and analyzing and processing the correlation in combination with the wear data to determine whether the PDC drill bit meets the preset conditions.

[0009] Optionally, when the PDC drill bit does not meet preset conditions, characteristic parameters of the PDC drill bit are adjusted based on the drilling motion data and the wear data, including: adjusting the characteristic parameters of the PDC drill bit based on an analysis result, wherein the analysis result is obtained by analyzing the association relationship based on the wear data.

[0010] Optionally, before using the PDC drill bit to perform drilling operations on the target layer, the method further includes: obtaining specified characteristic parameters of the target layer, wherein the specified characteristic parameters include at least any of the following: data on the drillability profile of at least a portion of the target layer, wear data of historically blunt drill bits of the target layer, and well condition requirements of the target layer; determining structural characteristics of the PDC drill bit based on the specified characteristic parameters of the target layer to generate a PDC drill bit with the structural characteristics, and then performing drilling operations on the target layer, wherein the structural characteristics include at least any of the following: main cutting structure of the drill bit, crown shape type, hydraulic structure, diameter protection structure, detection system, sealing parameters.

[0011] Optionally, the data sensor includes at least any one of the following: a three-axis acceleration sensor, a three-axis gyroscope, and an axis fluxgate sensor.

[0012] According to another aspect of an embodiment of the present invention, a data processing device for a PDC drill bit is provided, comprising: an acquisition unit for performing drilling operations on a target layer using a PDC drill bit, and acquiring drilling motion data collected by a data sensor on the PDC drill bit during the drilling operation; a determination unit for determining the wear data of the PDC drill bit after the PDC drill bit completes the drilling operation on the target layer; an adjustment unit 50 for adjusting the structural characteristics of the PDC drill bit according to the drilling motion data and the wear data to obtain target structural characteristics, and using the PDC drill bit with the target structural characteristics to perform drilling operations.

[0013] Optionally, the adjustment unit 50 includes: a judgment module, used to judge whether the PDC drill bit meets a preset condition based on the drilling motion data and the wear data; a determination module, used to determine that the structural characteristics of the PDC drill bit are target structural characteristics when the PDC drill bit meets the preset condition; and an adjustment module, used to adjust the structural characteristics of the PDC drill bit based on the drilling motion data and the wear data when the PDC drill bit does not meet the preset condition until the PDC drill bit meets the preset condition.

[0014] Optionally, the judgment module includes: an establishment submodule for performing big data processing on the drilling motion data, and establishing a correlation between the drilling motion data and the formation parameters of the target layer, the drilling parameters of the target layer, and the drill tool combination; a judgment submodule for analyzing and processing the correlation in combination with the wear data to determine whether the PDC drill bit meets the preset conditions.

[0015] Optionally, the adjustment module includes: an adjustment submodule, configured to adjust the characteristic parameters of the PDC drill bit based on an analysis result, wherein the analysis result is obtained by analyzing the association relationship based on the wear data.

[0016] That is, the present application is a method for obtaining the digital parameters of the real motion state of the PDC drill bit in the well as the relationship between the drill bit dynamics and the actual drilling parameters during the field application of the PDC drill bit, and then scientifically and specifically improving the optimization design of the PDC drill bit. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0018] Figure 1 The following is a flow chart of an optional data processing method for a PDC drill bit according to an embodiment of the present invention. Figure 1 ;

[0019] Figure 2 The following is a flow chart of an optional data processing method for a PDC drill bit according to an embodiment of the present invention. Figure 2 ;

[0020] Figure 3 Schematic diagram of an optional data processing device for a PDC drill bit according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0022] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0023] According to an embodiment of the present invention, a data processing method embodiment of a PDC drill bit is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0024] Figure 1 is a data processing method for a PDC drill bit according to an embodiment of the present invention, such as Figure 1 As shown, the method comprises the following steps:

[0025] Step S102, drilling a target layer using a PDC drill bit, and acquiring drilling motion data collected by a data sensor on the PDC drill bit during the drilling operation.

[0026] It should be noted that the target layer refers to the stratum drilled by the PDC drill bit.

[0027] It should also be noted that the data sensor includes at least one of the following: a three-axis acceleration sensor, a three-axis gyroscope, and an axis fluxgate sensor. That is, the PDC drill bit can carry a variety of sensors to detect the vibration, well inclination, rotation speed and other parameters of the drill bit itself, and realize downhole big data storage.

[0028] In addition, in an optional example, before using the PDC drill bit to perform drilling operations on the target layer, the method also includes: obtaining specified characteristic parameters of the target layer, wherein the specified characteristic parameters include at least any of the following: data on the drillability profile of at least a portion of the target layer, wear data of historically blunt drill bits of the target layer, and well condition requirements of the target layer; determining the structural characteristics of the PDC drill bit based on the specified characteristic parameters of the target layer to generate a PDC drill bit with the structural characteristics, and then performing drilling operations on the target layer, wherein the structural characteristics include at least any of the following: the main cutting structure of the drill bit, the crown shape type, the hydraulic structure, the diameter protection structure, the detection system, and the sealing parameters.

[0029] That is, before using the PDC drill bit to perform drilling operations on the target layer, the PDC drill bit is first formulated based on relevant data to perform initial drilling treatment.

[0030] Step S104, after the PDC drill bit completes the drilling operation on the target layer, the wear data of the PDC drill bit is determined.

[0031] In addition, in an optional example, the structural characteristics of the PDC drill bit are adjusted according to the drilling motion data and the wear data to obtain target structural characteristics, including: judging whether the PDC drill bit meets preset conditions according to the drilling motion data and the wear data; when the PDC drill bit meets the preset conditions, determining that the structural characteristics of the PDC drill bit are target structural characteristics; when the PDC drill bit does not meet the preset conditions, adjusting the structural characteristics of the PDC drill bit based on the drilling motion data and the wear data until the PDC drill bit meets the preset conditions.

[0032] That is, if Figure 2 As shown in the figure, after obtaining the drilling motion data and wear data, the relationship between the drill bit dynamics and the actual drilling parameters is established (that is, the drill bit dynamic data is statistically analyzed to establish the relationship between the PDC drill bit motion state and the formation, drill tool combination and drilling parameters); then, based on the relationship between the drill bit dynamics and the actual drilling parameters, combined with the drill bit wear data, the deficiencies of the original design are analyzed, and the drill bit is comprehensively optimized in a targeted manner to further improve the drill bit performance.

[0033] Furthermore, in an optional example, judging whether the PDC drill bit meets preset conditions based on the drilling motion data and the wear data includes: performing big data processing on the drilling motion data to establish a correlation between the drilling motion data and the formation parameters of the target layer, the drilling parameters of the target layer, and the drill tool combination; and analyzing and processing the correlation in combination with the wear data to determine whether the PDC drill bit meets the preset conditions.

[0034] Further, in an optional example, when the PDC drill bit does not meet the preset conditions, the characteristic parameters of the PDC drill bit are adjusted based on the drilling motion data and the wear data, including: adjusting the characteristic parameters of the PDC drill bit based on the analysis results, wherein the analysis results are obtained by analyzing the association relationship based on the wear data.

[0035] That is, the relationship between the drill bit dynamics and the actual drilling parameters is established by using the actual drilling formation parameters, drill tool assembly and drilling parameters as data input, and taking the PDC drill bit's stick-slip vibration, drill jumping vibration and vortex at the bottom of the well as the PDC dynamics as the theoretical basis. After statistically analyzing the drill bit's motion data, the relationship between the drill bit's motion mode at the bottom of the well and the formation, drill tool assembly and drilling parameters is established. Then, based on the relationship between the drill bit's motion and the formation, drill tool assembly and drilling parameters established by big data analysis, the design deficiencies of the PDC drill bit are analyzed, and the drill bit design is optimized and improved in a targeted manner to reduce the drill bit's adverse motion at the bottom of the well and improve the drill bit's performance.

[0036] Step S106, adjusting the structural characteristics of the PDC drill bit according to the drilling motion data and the wear data to obtain target structural characteristics, and using the PDC drill bit with the target structural characteristics to perform drilling operations.

[0037] That is, the present application is a method for obtaining the digital parameters of the real motion state of the PDC drill bit in the well as the relationship between the drill bit dynamics and the actual drilling parameters during the field application of the PDC drill bit, and then scientifically and specifically improving the optimization design of the PDC drill bit.

[0038] The present invention is described below in conjunction with another embodiment.

[0039] A method for designing an intelligent PDC drill bit, the process is as follows:

[0040] S1: Obtain the lithology composition and drillability analysis of the formation being drilled, research reports on blunt drill bits in drilled wells, and data on special well conditions.

[0041] It should be noted that the lithology composition and drillability analysis of the drilled formation can be obtained by any of the following methods: first, collecting the core of the drilled formation, conducting rock composition analysis and drillability analysis, and establishing the drillability profile of the well section; second, conducting rock mechanics analysis and drillability evaluation based on logging data, and establishing the drillability profile of the entire well section.

[0042] It should be noted that the research report on blunt drill bits in drilled wells can be obtained in the following ways: determine the number of drilled wells, collect research on blunt drill bits in multiple drilled wells, evaluate the form of drill bit damage, and determine the focus of drill bit design.

[0043] It should also be noted that the special well condition requirement data refers to the special well condition requirement of the target layer to be drilled (ie, the special well condition requirement of the well to be drilled), and the special well condition requirement is used to guide the subsequent drill bit design.

[0044] S2: Select the drill bit characteristics based on experience. That is, according to the lithological characteristics of the formation being drilled, the analysis of the blunt drill bits used in the early stage and the well conditions, determine the main cutting structure of the drill bit, such as the crown shape type, hydraulic structure, diameter protection structure and other main parameters.

[0045] It should be noted that the lithological characteristics of the drilled formation, the analysis of blunt drill bits used in the early stage and the well condition requirements are used to determine the overall structural parameters of the PDC drill bit (for example: cutting structure, the number of blades of the drill bit, the specifications and quantity of cutting teeth, single-row or double-row tooth structure; crown shape type, short parabolic structure or long parabolic structure; hydraulic structure, fixed water holes or adjustable water holes, water hole size and number; diameter protection structure of the drill bit, short diameter protection structure, long diameter protection structure or spiral diameter protection structure; detection system design, sensor installation position design, sealing design, etc.).

[0046] Among them, the crown shape type is at least determined by the drillability of the formation and the well type requirements; the hydraulic structure is at least determined by the well depth, the number of blades and the field working conditions; the drill bit diameter protection structure is at least determined by the well section structure and the formation properties where the drill bit is used.

[0047] S3: Intelligent design of PDC drill bits, such as crown shape design, tooth layout design, blade structure design, hydraulic design, force balance optimization design, and detection system design.

[0048] S4: Modeling and drawing of the intelligent PDC drill bit for processing and production.

[0049] S5: The produced intelligent PDC drill bit is applied on site, and its application data is tracked and recorded, such as drill bit wear data and drill bit movement data.

[0050] It should be noted that the intelligent PDC drill bit used in the field carries a variety of sensors (for example, three-axis acceleration sensor, three-axis fluxgate sensor, etc.) to detect the drill bit's own vibration, well inclination, rotation speed and other parameters, thereby realizing downhole big data storage, so that the data can be extracted through the corresponding interface after the drill bit leaves the well for analysis and collation.

[0051] S6: Perform data analysis, for example: establish the relationship between drill bit dynamics and actual drilling parameters, statistically analyze drill bit dynamic data, and establish the relationship between PDC drill bit motion state and formation, drilling tool assembly and drilling parameters.

[0052] It should be noted that the relationship between the drill bit dynamics and the actual drilling parameters is established by statistical analysis software based on PDC drill bit dynamics. This statistical analysis software uses the actual drilling formation parameters, drill tool assembly and drilling parameters as data input, and takes the PDC dynamics such as stick-slip vibration, drill jumping vibration and vortex of the PDC drill bit at the bottom of the well as the theoretical basis. After statistically analyzing the movement data of the drill bit, the relationship between the movement mode of the drill bit at the bottom of the well and the formation, drill tool assembly and drilling parameters is established, and various analyses are carried out. For example, the relationship between drilling pressure, rotation speed and mechanical drilling speed of the drill bit, lateral vibration, torsional vibration, stick-slip vibration, etc., the continuous change law of wellbore shape with well depth, etc.

[0053] S7: Comprehensive optimization of intelligent PDC drill bits. Based on the relationship between drill bit dynamics and actual drilling parameters, combined with the drill bit wear data, the shortcomings of the original design are analyzed, and the drill bit is comprehensively optimized in a targeted manner to further improve the drill bit performance.

[0054] That is, the above design method is a method of obtaining the digital parameters of the real movement state of the PDC drill bit in the well as the actual drilling parameters in the field application of the PDC drill bit, establishing the relationship between the drill bit dynamics and the actual drilling parameters, and then scientifically and specifically improving the PDC drill bit optimization design (such as adjusting the drill bit cutting depth, optimizing the drill bit force balance, optimizing the drill bit diameter protection length and other parameters), reducing the undesirable movement of the drill bit at the bottom of the well, and further improving the drill bit performance.

[0055] It should be noted that the intelligent PDC drill bit design method has the following advantages:

[0056] 1. This application introduces the analysis of real downhole drill bit motion data for the existing PDC drill bit design process. It provides dynamic analysis for the optimized design of PDC drill bits, establishes the relationship between drill bit motion and actual drilling parameters, and can further optimize drill bit performance in a targeted manner.

[0057] 2. This application uses an intelligent drill bit with detection function, which can realize data collection and storage of the downhole drill bit movement status, and is also of great significance to the optimization of the drill bit and the downhole drilling tool combination.

[0058] 3. This application can realize a digital closed loop for PDC drill bit design, shorten the number of PDC drill bit optimization iterations, significantly improve drill bit performance, and reduce drilling costs.

[0059] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0060] The embodiment of the present application also provides a data processing device for a PDC drill bit. It should be noted that the data processing device for a PDC drill bit in the embodiment of the present application can be used to execute the data processing method for a PDC drill bit provided in the embodiment of the present application. The data processing device for a PDC drill bit provided in the embodiment of the present application is introduced below.

[0061] Figure 3 Schematic diagram of a data processing device for a PDC drill bit according to an embodiment of the present application. Figure 3 As shown, the device comprises:

[0062] The acquisition unit 10 is used to perform drilling operation on the target layer using a PDC drill bit, and acquire drilling motion data collected by a data sensor on the PDC drill bit during the drilling operation.

[0063] The determination unit 30 is used to determine the wear data of the PDC drill bit after the PDC drill bit completes the drilling operation of the target layer.

[0064] The adjustment unit 50 is used to adjust the structural characteristics of the PDC drill bit according to the drilling motion data and the wear data to obtain target structural characteristics, and use the PDC drill bit with the target structural characteristics to perform drilling operations.

[0065] Optionally, in the data processing device of the PDC drill bit provided in the embodiment of the present application, the adjustment unit 50 includes: a judgment module, used to judge whether the PDC drill bit meets the preset conditions based on the drilling motion data and the wear data; a determination module, used to determine that the structural characteristics of the PDC drill bit are target structural characteristics when the PDC drill bit meets the preset conditions; and an adjustment module, used to adjust the structural characteristics of the PDC drill bit based on the drilling motion data and the wear data when the PDC drill bit does not meet the preset conditions until the PDC drill bit meets the preset conditions.

[0066] Optionally, the judgment module includes: an establishment submodule for performing big data processing on the drilling motion data, and establishing an association relationship between the drilling motion data and the formation parameters of the target layer, the drilling parameters of the target layer, and the drill tool assembly; a judgment submodule for analyzing and processing the association relationship in combination with the wear data to determine whether the PDC drill bit meets the preset conditions;

[0067] Optionally, the adjustment module includes: an adjustment submodule, configured to adjust the characteristic parameters of the PDC drill bit based on an analysis result, wherein the analysis result is obtained by analyzing the association relationship based on the wear data.

[0068] Optionally, the device also includes: an acquisition subunit, used to acquire specified characteristic parameters of the target layer before using the PDC drill bit to perform drilling operations on the target layer, wherein the specified characteristic parameters include at least any of the following: data on the drillability profile of at least part of the well section of the target layer, wear data of historically blunt drill bits of the target layer, and well condition requirements of the target layer; a generation subunit, used to determine the structural characteristics of the PDC drill bit based on the specified characteristic parameters of the target layer to generate a PDC drill bit with the structural characteristics, and then perform drilling operations on the target layer, wherein the structural characteristics include at least any of the following: main cutting structure of the drill bit, crown shape type, hydraulic structure, diameter protection structure, detection system, sealing parameters.

[0069] The data processing device of the PDC drill bit provided in the embodiment of the present application uses the PDC drill bit to perform drilling operations on the target layer through the acquisition unit 10, and obtains the drilling motion data collected by the data sensor on the PDC drill bit during the drilling operation; the determination unit 30 determines the wear data of the PDC drill bit after the PDC drill bit completes the drilling operation on the target layer; the adjustment unit 50 adjusts the structural characteristics of the PDC drill bit according to the drilling motion data and the wear data to obtain the target structural characteristics, and uses the PDC drill bit with the target structural characteristics to perform the drilling operation, so as to realize the field application link of the PDC drill bit, and establishes the relationship between the drill bit dynamics and the actual drilling parameters based on the digital parameters of the actual movement state of the PDC drill bit in the well, and then scientifically and specifically improves the technical effect of the PDC drill bit optimization design.

[0070] The data processing device of the PDC drill bit includes a processor and a memory. The acquisition unit 10, the determination unit 30, the adjustment unit 50, etc. are all stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.

[0071] The processor contains a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and the kernel parameters can be adjusted to obtain the digital parameters of the actual motion state of the PDC drill bit in the well, establish the relationship between the drill bit dynamics and the actual drilling parameters, and then scientifically and specifically improve the PDC drill bit optimization design.

[0072] An embodiment of the present invention provides a storage medium on which a program is stored. When the program is executed by a processor, the data processing method of the PDC drill bit is implemented.

[0073] An embodiment of the present invention provides a processor, which is used to run a program, wherein the data processing method of the PDC drill bit is executed when the program is run.

[0074] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0075] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0076] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0077] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0078] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0079] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0080] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A data processing method for a PDC drill bit, characterized in that: The data processing method comprises: Drilling a target layer using a PDC drill bit, and obtaining drilling motion data collected by a data sensor on the PDC drill bit during the drilling operation, wherein the data sensor includes at least any one of the following: a three-axis acceleration sensor, a three-axis gyroscope, and an axis fluxgate sensor, and the drilling motion data is used to characterize at least any one of the following: a vibration parameter, a well inclination parameter, and a rotation speed parameter of the PDC drill bit; After the PDC drill bit completes the drilling operation on the target layer, determining the wear data of the PDC drill bit; According to the drilling motion data and the wear data, the structural characteristics of the PDC drill bit are adjusted to obtain target structural characteristics, and the PDC drill bit with the target structural characteristics is used to perform drilling operations, wherein the structural characteristics include at least any one of the following: main cutting structure of the drill bit, crown shape type, hydraulic structure, diameter protection structure, detection system, and sealing parameters.

2. The data processing method according to claim 1, characterized in that: According to the drilling motion data and the wear data, the structural features of the PDC drill bit are adjusted to obtain target structural features, including: Determining whether the PDC drill bit meets a preset condition according to the drilling motion data and the wear data; In the case where the PDC drill bit meets the preset condition, determining the structural feature of the PDC drill bit as a target structural feature; In the case that the PDC drill bit does not meet the preset condition, the structural characteristics of the PDC drill bit are adjusted based on the drilling movement data and the wear data until the PDC drill bit meets the preset condition.

3. The data processing method according to claim 2, characterized in that: Judging whether the PDC drill bit meets the preset conditions according to the drilling motion data and the wear data, including: performing big data processing on the drilling motion data to establish a correlation relationship between the drilling motion data and the formation parameters of the target layer, the drilling parameters of the target layer, and the drill tool assembly; analyzing and processing the correlation relationship in combination with the wear data to determine whether the PDC drill bit meets the preset conditions; When the PDC drill bit does not meet the preset conditions, characteristic parameters of the PDC drill bit are adjusted based on the drilling motion data and the wear data, including: adjusting the characteristic parameters of the PDC drill bit based on the analysis result, wherein the analysis result is obtained by analyzing the association relationship based on the wear data.

4. The data processing method according to claim 1, characterized in that: Before using the PDC drill bit to perform drilling operations on the target layer, the method further includes: Acquiring designated characteristic parameters of the target layer, wherein the designated characteristic parameters include at least any one of the following: data of drillability profile of at least a portion of a well section of the target layer, wear data of historical blunt drill bits of the target layer, and well condition requirements of the target layer; The structural features of the PDC drill bit are determined based on the specified characteristic parameters of the target layer to generate a PDC drill bit with the structural features, thereby performing drilling operations on the target layer.

5. A data processing device for a PDC drill bit, characterized in that: The data processing device comprises: An acquisition unit is used to perform drilling operations on a target layer using a PDC drill bit, and acquire drilling motion data collected by a data sensor on the PDC drill bit during the drilling operation, wherein the data sensor includes at least any one of the following: a three-axis acceleration sensor, a three-axis gyroscope, and an axis fluxgate sensor, and the drilling motion data is used to characterize at least any one of the following: a vibration parameter, a well deviation parameter, and a rotation speed parameter of the PDC drill bit; a determination unit, configured to determine wear data of the PDC drill bit after the PDC drill bit completes drilling of the target layer; The adjustment unit 50 is used to adjust the structural characteristics of the PDC drill bit according to the drilling motion data and the wear data to obtain target structural characteristics, and use the PDC drill bit with the target structural characteristics to perform drilling operations.

6. The data processing device according to claim 5, characterized in that: The adjustment unit 50 comprises: A judgment module, used for judging whether the PDC drill bit meets a preset condition according to the drilling motion data and the wear data; A determination module, configured to determine, when the PDC drill bit satisfies the preset condition, that the structural feature of the PDC drill bit is a target structural feature; An adjustment module is used to adjust the structural characteristics of the PDC drill bit based on the drilling movement data and the wear data when the PDC drill bit does not meet the preset conditions, until the PDC drill bit meets the preset conditions.

7. The data processing device according to claim 6, characterized in that: The judgment module includes: an establishment submodule for performing big data processing on the drilling motion data, and establishing a correlation relationship between the drilling motion data and the formation parameters of the target layer, the drilling parameters of the target layer, and the drill tool assembly; a judgment submodule for analyzing and processing the correlation relationship in combination with the wear data to determine whether the PDC drill bit meets the preset conditions; The adjustment module includes: an adjustment submodule, which is used to adjust the characteristic parameters of the PDC drill bit based on the analysis result, wherein the analysis result is obtained by analyzing the association relationship based on the wear data.

8. A storage medium, characterized in that: The storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the data processing method for the PDC drill bit according to any one of claims 1 to 4.

9. A processor, characterized in that: The processor is used to run a program, wherein the program executes the data processing method for a PDC drill bit according to any one of claims 1 to 4 when running.

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