CN115936639A - Method and device for extracting tripping speed based on real-time logging data - Google Patents
Method and device for extracting tripping speed based on real-time logging data Download PDFInfo
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Abstract
The invention provides a method for extracting the tripping speed based on real-time logging data, which comprises the following steps: extracting key parameters and removing invalid data from the logging time sequence data table of the target area to obtain a logging time sequence table to be analyzed; performing a working condition identification process based on the logging time sequence table to be analyzed so as to calculate the drill rod moving speed and the drill rod moving acceleration under the tripping working condition; and in the working condition identification process, performing correlation comparison on the well body structure and the stratum to be encountered by drilling, and calibrating each logging time sequence table to be analyzed in a complex generation process. The method can sufficiently utilize big data resources of the historical well and the construction condition of the adjacent well around the current drilling construction well to objectively provide engineering reference for the drilling operation of the well, and can greatly improve the timeliness and safety of the operation compared with the traditional mode of completely referring to industrial regulations or only operating by manual experience.
Description
Technical Field
The invention relates to the technical field of drilling engineering, in particular to a method and a device for extracting the tripping speed based on real-time logging data.
Background
In the process of oil and gas drilling, the tripping operation occupies most of the operation time of the whole engineering process, the tripping speed not only influences the time efficiency of the drilling operation, but also concerns the safety of the shaft operation, the tripping speed is pursued too fast, the influence of fluctuation pressure on the shaft can be generated, and the well kick or the well leakage risk can be seriously caused, so that each oil field company and engineering company in the oil and gas industry adopt conservative limit value regulation aiming at the tripping operation of a driller.
However, due to the complexity of geological conditions in each area, the drilling operation efficiency is greatly influenced by adopting single regulation limitation, the drilling rod speed is often beyond the limitation range of the industrial regulation under the large background that each oil company requires the drilling speed-up and efficiency-improvement, when a drilling team is actually operated on site, the subjective dependence degree is large by adjusting according to manual experience, and although the operation timeliness is improved to a certain degree, the potential safety hazard is greatly existed.
Aiming at the problems in the prior art, the invention provides a method and a device for extracting the tripping speed based on real-time logging data.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a method for extracting a tripping speed based on logging real-time data, which comprises the following steps:
extracting key parameters and removing invalid data from the logging time sequence data table of the target area to obtain a logging time sequence table to be analyzed;
performing a working condition identification process based on the logging time sequence table to be analyzed so as to calculate the drill rod moving speed and the drill rod moving acceleration under the working condition of tripping the drill;
and in the working condition identification process, performing correlation comparison on the well structure and the drilled stratum, and calibrating each logging time sequence table to be analyzed in the complex generation process.
According to one embodiment of the invention, a calculation field of a key parameter is added in the logging time series data table, wherein the key parameter comprises: the moving speed of the drill rod, the moving acceleration of the drill rod, the opening times of the well bottom, the stratum where the well bottom is located, the stratum where the drill bit is located, whether the drill bit is in the casing, the working condition, the duration time of the working condition and whether the drill bit is in the time of occurrence of a complex accident.
According to one embodiment of the invention, the invalid data removal comprises the steps of:
removing data with well depth and vertical depth being empty or less than or equal to 0;
removing completely repeated data of each field;
and removing data with the interval less than the preset time and the hook change more than the preset value.
According to one embodiment of the invention, the method comprises the steps of:
and traversing the logging time sequence table to be analyzed by using a working condition identification algorithm, judging the working condition by using the relation between the front data and the rear data, calibrating the working condition and calculating to obtain the working condition duration.
According to one embodiment of the invention, the method comprises the steps of:
and judging whether the hook position is in a reasonable interval or not according to the tripping working condition, and calculating the moving speed of the drill rod and the moving acceleration of the drill rod by using the hook position when the hook position is in the reasonable interval range.
According to one embodiment of the invention, the method comprises the steps of:
calculating to obtain the moving speed of the drill rod according to the height difference of the front and rear big hooks and the time difference of the front and rear big hooks;
and calculating to obtain the drill rod moving acceleration according to the drill rod moving speed and the time difference between the front time and the rear time.
According to one embodiment of the invention, the method comprises the steps of:
and in the working condition identification process, performing correlation comparison on the well body structure and the stratum to be drilled, and performing calibration of a complex generation process on each logging time sequence table to be analyzed through judging the interval of the starting and stopping well depth of the well body structure and the starting and stopping vertical depth of the stratum to be drilled.
According to one embodiment of the invention, the method comprises the steps of:
and classifying and counting the stratum and the opening times of the well bottom, and calculating the different drill rod moving speeds of the drill bit inside and outside the sleeve under the working condition of tripping so as to provide reference for tripping operation of the forward drilling construction well.
According to another aspect of the invention, there is also provided a storage medium containing a series of instructions for carrying out the steps of the method as described in any one of the above.
According to another aspect of the present invention, there is also provided an apparatus for extracting a tripping speed based on logging real-time data, the apparatus performing the method as described in any one of the above, the apparatus comprising:
the preprocessing module is used for extracting key parameters and removing invalid data from the logging time sequence data table of the target area to obtain a logging time sequence table to be analyzed;
the speed calculation module is used for performing a working condition identification process based on the logging time sequence table to be analyzed so as to calculate and obtain the drill rod moving speed and the drill rod moving acceleration under the working condition of tripping;
and the data statistics module is used for performing correlation comparison on a well structure and a stratum to be encountered in the working condition identification process and calibrating each to-be-analyzed logging time sequence table in a complex generation process.
The method and the device for extracting the tripping speed based on the real-time logging data can be used for objectively providing engineering reference for tripping operation for the well based on the statistical analysis of the tripping speed of the historical well, by fully utilizing the big data resources of the historical well and utilizing the construction condition of the adjacent well around the current drilling construction well, and can greatly improve the timeliness and the safety of the operation compared with the traditional mode of completely referring to the industrial regulations or only depending on the manual experience for operation.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 shows a flow chart of a method for extracting tripping speed based on logging real-time data according to an embodiment of the invention;
FIG. 2 shows a flow diagram for invalid data removal according to one embodiment of the invention; and
fig. 3 shows a block diagram of an apparatus for extracting a tripping speed based on logging real-time data according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
In the prior art (two-phase fluctuation pressure research in the tripping process in a shaft, inner Mongolia petrochemical industry, 2011, 37 (10): 257-261), in order to avoid the occurrence of complex conditions and accidents such as underground blowout, well leakage, well collapse and the like, the influence of fluctuation pressure generated in tripping operation is considered during drilling design and construction. In actual conditions, drilling fluid mostly appears in a gas-liquid two-phase flow mode, and a certain error exists when the drilling fluid is used as a single-phase liquid flow in a conventional fluctuation pressure calculation model. The method takes gas-liquid homogeneous phase flow as a research object, establishes a fluctuation pressure prediction model generated by viscosity of drilling fluid in a gas-liquid two-phase form in the process of tripping in or tripping in a shaft through theoretical derivation, compiles gas-liquid two-phase fluctuation pressure prediction software, predicts tripping fluctuation pressures under different working conditions, draws fluctuation pressure coefficient change rule graphs under different conditions, and compares the fluctuation pressure coefficient change rule graphs with an oilfield drilling example, and the result shows that the prediction model has a certain guiding effect on tripping speed control on a drilling site.
However, the method introduced in the prior art (two-phase fluctuation pressure study in the tripping process in the wellbore, inner Mongolia petrochemical, 2011, 37 (10): 257-261) is to perform tripping speed back calculation based on a two-phase flow model, and realize the range recommendation of the tripping speed by calculating the fluctuation pressure in the wellbore.
In the prior art (a calculation method of steady-state fluctuation pressure of a shaft in the tripping process, an oil drilling technology, 2016, 44 (04): 35-40), in order to avoid complex conditions such as well kick, well leakage and the like in the tripping process, the calculation precision of the fluctuation pressure of the shaft needs to be improved. Based on a channel flow model, combining the real speed distribution condition of fluid in the tripping process, respectively discussing the fluctuating pressure in laminar flow and turbulent flow states according to the continuity of the fluid in a shaft and the corresponding boundary conditions, establishing a steady-state shaft fluctuating pressure calculation model based on the movement of a drill column, and solving the model by adopting a numerical solution. Combined with the analysis of on-site production data, the fluctuation pressure is increased from 0.21MPa to 0.27MPa when the tripping speed is increased from 0.2m/s to 0.6 m/s; the conditions of the movement speed of the drill string, the rheological property of the fluid and the like are unchanged, and when the ratio of the inner diameter to the outer diameter of the annular space is increased from 0.55 to 0.95, the increase amplitude of the fluctuation pressure of the well barrel is increased from 0.30MPa to 0.50MPa. The results of calculation comparison by using literature data show that: the most of the calculation errors of the Burkhardt model are more than 8%, and the calculation errors of the predicted value and the measured value of the fluctuation pressure model are basically less than 5%, so that the calculation error requirement of the fine pressure control drilling well is met. Research results show that the steady-state fluctuation pressure calculation method for the shaft can be used for accurately analyzing the shaft pressure in the non-drilling process and guiding the field safe production.
However, the prior art (calculation method of steady state fluctuation pressure of a well bore in the tripping process, oil drilling technology, 2016, 44 (04): 35-40) introduces a method for carrying out reverse calculation of tripping speed based on a steady state flow model, and realizes the range recommendation of the tripping speed by calculating the fluctuation pressure in the well bore.
Aiming at the defects of the prior art, the invention aims to effectively extract the moving speed of the drill rod in the tripping process from massive regional historical well real-time logging data, classify and arrange the drilling rod according to stratum and opening times, provide adjacent well reference for tripping operation of a construction well by matching with the underground complex generation process of the historical well, improve the drilling operation timeliness and ensure the safety and reliability of the construction process on the premise of ensuring the safety.
FIG. 1 shows a flow chart of a method for extracting trip speed based on real-time logging data, according to an embodiment of the invention.
As shown in fig. 1, in step S101, key parameter extraction and invalid data removal are performed on the logging time sequence data table of the target area to obtain a logging time sequence table to be analyzed.
Specifically, the logging time series data table is historical real-time logging data of the target area.
In one embodiment, a calculation field of a key parameter is added in the logging time series data table, wherein the key parameter comprises: the moving speed of the drill rod, the moving acceleration of the drill rod, the opening times of the well bottom, the stratum where the well bottom is located, the stratum where the drill bit is located, whether the drill bit is in the casing, the working condition, the duration time of the working condition and whether the drill bit is in the time of occurrence of a complex accident.
FIG. 2 shows a flow diagram for invalid data removal according to one embodiment of the invention.
As shown in fig. 2, in step S201, the logging time series data table is traversed to remove data with a well depth, a vertical depth being empty, or less than or equal to 0. In fact, since the well depth and the vertical depth are data larger than zero, data having a well depth and a vertical depth of zero or less can be removed in step S201, and data that does not match the actual data can be screened out.
As shown in fig. 2, in step S202, the logging time series data table is traversed to remove data with completely repeated fields. Specifically, in order to improve the accuracy of the data, it is necessary to remove the data in which each field is completely repeated.
As shown in fig. 2, in step S203, the logging time series data table is traversed to remove data in which the interval is less than the preset time and the hook change exceeds the preset value. Specifically, the preset time is set to 5 seconds, and the change amplitude ratio of the preset value is adjustable. In one embodiment, data with intervals less than 5 seconds and hook changes too much are removed (the magnitude of the change is scalable).
As shown in fig. 1, in step S102, a working condition identification process is performed based on the log time sequence table to be analyzed, so as to calculate the drill pipe moving speed and the drill pipe moving acceleration under the tripping working condition.
In one embodiment, a working condition recognition algorithm is used for traversing a logging time sequence table to be analyzed, the relation between the front data and the rear data is used for judging the working condition, the working condition is calibrated, and the working condition duration is calculated.
Furthermore, the duration of the current working condition is obtained by simultaneously calculating the identified working condition calibration and the working condition field.
In one embodiment, the condition duration = the time difference between the previous and subsequent data.
In one embodiment, whether the hook position is in a reasonable interval or not is judged for the tripping working condition, and when the hook position is in the reasonable interval range, the drill rod moving speed and the drill rod moving acceleration are calculated by using the hook position.
In the working condition identification process, whether the hook position is in a reasonable interval (for example, top drive drilling is 0-35 m, and turntable drilling is 0-10 m) or not needs to be judged according to the tripping working condition, and when the hook position is in the reasonable interval range, the drill rod moving speed and the drill rod moving acceleration are calculated by utilizing the hook position.
Specifically, the moving speed of the drill rod is calculated according to the height difference of the front and rear big hooks and the front and rear time difference; and calculating to obtain the moving acceleration of the drill rod according to the moving speed of the drill rod and the time difference between the front and the back.
In one embodiment, the drill rod movement speed = front and rear hook height difference/front and rear time difference.
In one embodiment, drill rod movement acceleration = drill rod movement speed/front-to-back time difference.
As shown in fig. 1, in step S103, in the process of identifying the working condition, the well structure and the formation to be encountered by drilling are correlated and compared, and each logging time sequence table to be analyzed is calibrated in the complex occurrence process.
In the working condition identification process, correlation comparison is carried out on the well body structure and the stratum to be met, and each time sequence table to be analyzed and logged is calibrated in the complex occurrence process through judging the interval of the starting and stopping well depth of the well body structure and the starting and stopping vertical depth of the stratum to be met. Specifically, in the working condition identification process, the correlation comparison of the current well body structure and the stratum to be met is introduced, and the calibration of the bottom opening times, the stratum to which the bottom is positioned, the stratum to which the drill bit is positioned and whether the drill bit is positioned in the casing is carried out on each logging time data through the judgment of the interval of the starting and stopping well depth of the well body structure and the starting and stopping vertical depth of the stratum to be met.
After the steps S101 to S104 are completed, classification statistics may be performed according to the stratum where the bottom of the well is located, the opening times, and the like, and when the drill bit drills into each stratum, the drill rod movement speeds (which may include various statistics such as average speed, maximum acceleration, and the like) of the drill bit inside and outside the casing pipe under the working condition of tripping-out drilling are calculated, so as to provide a reference for tripping-out operation of the construction well being drilled.
Further, a method for extracting the tripping speed based on the logging real-time data further comprises the following steps: and (4) filtering the time sequence data processed in the step (S104) by combining the complex occurrence historical records of all the historical wells, and calibrating a more detailed complex occurrence process data segment.
The invention utilizes the well body structure of the historical well in the target area and the information such as the stratum encountered by drilling to process, count and analyze the real-time logging data of each well, and extracts the statistical information such as the moving speed, the moving acceleration and the like of the drill rod along each stratum, the starting time and each stratum of the shaft in the process of tripping each well, thereby providing the parameter reference of the operation of the adjacent well for the construction well to be drilled and improving the safety and the efficiency of the drilling construction operation to a certain extent.
The method and the device for extracting the tripping speed based on the logging real-time data can also be matched with a computer readable storage medium, wherein a computer program is stored on the storage medium and is executed to operate the method for extracting the tripping speed based on the logging real-time data. The computer program is capable of executing computer instructions comprising computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc.
The computer-readable storage medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
It should be noted that the content of the computer readable storage medium may be increased or decreased as required by legislation and patent practice in the jurisdiction, for example, in some jurisdictions, the computer readable storage medium does not include electrical carrier signals and telecommunication signals in accordance with legislation and patent practice.
Fig. 3 shows a block diagram of an apparatus for extracting a tripping speed based on logging real-time data according to an embodiment of the present invention.
As shown in fig. 3, an apparatus 300 for extracting a tripping speed based on logging real-time data comprises a preprocessing module 301, a speed calculating module 302 and a data statistics module 303.
The preprocessing module 301 is configured to extract key parameters and remove invalid data from the logging time sequence data table of the target area, so as to obtain a logging time sequence table to be analyzed.
Adding a calculation field of a key parameter in a logging time sequence data table, wherein the key parameter comprises: the moving speed of the drill rod, the moving acceleration of the drill rod, the opening time of the well bottom, the stratum where the well bottom is located, the stratum where the drill bit is located, whether the drill bit is in the casing, the working condition, the duration time of the working condition and the time of occurrence of a complex accident.
The preprocessing module 301 comprises a removing unit for removing data of well depth, vertical depth being empty or less than or equal to 0; removing completely repeated data of each field; and removing data with the interval less than the preset time and the hook change more than the preset value.
The speed calculation module 302 is configured to perform a working condition identification process based on the logging time sequence table to be analyzed, so as to calculate a drill pipe moving speed and a drill pipe moving acceleration under a tripping condition.
The speed calculation module 302 includes a calibration unit, which is configured to traverse the logging time sequence table to be analyzed by using a working condition recognition algorithm, perform working condition discrimination by using a relationship between the previous and subsequent data, calibrate the working condition, and calculate the working condition duration.
The speed calculation module 302 includes a determination unit configured to determine whether the hook position is in a reasonable interval according to the tripping condition, and when the hook position is in the reasonable interval, calculate the drill rod moving speed and the drill rod moving acceleration by using the hook position.
The speed calculation module 302 comprises a calculation unit, which is used for calculating the moving speed of the drill rod according to the height difference of the front and rear hooks and the front and rear time difference; and calculating to obtain the moving acceleration of the drill rod according to the moving speed of the drill rod and the time difference between the front and the back.
The data statistics module 303 is configured to perform correlation comparison between a well structure and a formation to be encountered during the process of identifying the working condition, and perform calibration of a complex occurrence process on each log time sequence table to be analyzed.
The data statistics module 303 includes a complex generation unit, and is configured to perform correlation comparison between the well structure and the formation encountered by drilling in the process of identifying the operating conditions, and perform calibration of a complex generation process on each logging time sequence table to be analyzed by determining a start-stop well depth of the well structure and a start-stop vertical depth of the formation encountered by drilling.
The device 300 for extracting the tripping speed based on the real-time logging data further comprises a reference module, wherein the reference module is used for classifying and counting the stratum and the opening time of the well bottom, and calculating the moving speed of a drill bit in different drill rods inside and outside a sleeve under the tripping working condition when the drill bit drills to each stratum, so that reference is provided for the tripping operation of a construction well which is just drilling.
In conclusion, the method and the device for extracting the tripping speed based on the logging real-time data can be used for objectively providing engineering reference for tripping operation for the well based on the statistical analysis of the tripping speed of the historical well, fully utilizing the big data resources of the historical well and utilizing the construction conditions of the adjacent wells around the currently-drilled construction well, and can greatly improve the timeliness and safety of the operation compared with the traditional mode of completely referring to industrial regulations or performing operation only by artificial experience. The invention can greatly improve the objectivity of driller operation, is suitable for drilling scenes in various energy exploration and development processes, and has wide application prospect.
It is to be understood that the disclosed embodiments of the invention are not limited to the particular structures, process steps, or materials disclosed herein but are extended to equivalents thereof as would be understood by those ordinarily skilled in the relevant arts. It is also to be understood that the terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "connected" and "connected" are to be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Reference in the specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. Thus, the appearances of the phrase "one embodiment" or "an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment.
The embodiments of the present invention have been presented for purposes of illustration and description, and are not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiment was chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A method for extracting tripping speed based on real-time logging data, the method comprising the steps of:
extracting key parameters and removing invalid data from the logging time sequence data table of the target area to obtain a logging time sequence table to be analyzed;
performing a working condition identification process based on the logging time sequence table to be analyzed so as to calculate the movement speed and the movement acceleration of the drill rod under the working condition of tripping the drill;
and in the working condition identification process, performing correlation comparison on a well body structure and a stratum to be encountered by drilling, and calibrating each logging time sequence table to be analyzed in a complex generation process.
2. The method of claim 1, wherein a calculation field of a key parameter is added to the logging time series data table, wherein the key parameter comprises: the moving speed of the drill rod, the moving acceleration of the drill rod, the opening times of the well bottom, the stratum where the well bottom is located, the stratum where the drill bit is located, whether the drill bit is in the casing, the working condition, the duration time of the working condition and whether the drill bit is in the time of occurrence of a complex accident.
3. The method of claim 1, wherein the removing of invalid data comprises the steps of:
removing data with well depth and vertical depth being empty or less than or equal to 0;
removing completely repeated data of each field;
and removing data with the interval less than the preset time and the hook change more than the preset value.
4. The method of claim 1, wherein the method comprises the steps of:
and traversing the logging time sequence table to be analyzed by using a working condition identification algorithm, judging the working condition by using the relation between the front data and the rear data, calibrating the working condition and calculating to obtain the working condition duration.
5. The method of claim 1, wherein the method comprises the steps of:
and judging whether the hook position is in a reasonable interval or not according to the tripping working condition, and calculating the moving speed of the drill rod and the moving acceleration of the drill rod by using the hook position when the hook position is in the reasonable interval range.
6. The method of claim 1, wherein the method comprises the steps of:
calculating to obtain the moving speed of the drill rod according to the height difference of the front and rear big hooks and the time difference of the front and rear big hooks;
and calculating to obtain the drill rod moving acceleration according to the drill rod moving speed and the time difference between the front time and the rear time.
7. The method of claim 1, wherein the method comprises the steps of:
and in the working condition identification process, performing correlation comparison on the well body structure and the stratum to be drilled, and performing calibration of a complex generation process on each logging time sequence table to be analyzed through judging the interval of the starting and stopping well depth of the well body structure and the starting and stopping vertical depth of the stratum to be drilled.
8. The method of claim 1, wherein the method comprises the steps of:
and classifying and counting the stratum and the opening times of the well bottom, and calculating the different drill rod moving speeds of the drill bit inside and outside the sleeve under the working condition of tripping when drilling to each stratum, thereby providing reference for tripping operation of the just-drilled construction well.
9. A storage medium characterized in that it contains a series of instructions for carrying out the steps of the method according to any one of claims 1 to 8.
10. An apparatus for extracting tripping speed based on logging real-time data, characterized in that the method according to any of claims 1-8 is performed, the apparatus comprising:
the preprocessing module is used for extracting key parameters and removing invalid data from the logging time sequence data table of the target area to obtain a logging time sequence table to be analyzed;
the speed calculation module is used for performing a working condition identification process based on the logging time sequence table to be analyzed so as to calculate and obtain the drill rod moving speed and the drill rod moving acceleration under the working condition of tripping;
and the data statistics module is used for performing correlation comparison on a well structure and a stratum to be encountered in the working condition identification process and calibrating each to-be-analyzed logging time sequence table in a complex generation process.
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