CN118242053A - Directional drilling data measurement and analysis method based on artificial intelligence - Google Patents
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Abstract
The invention belongs to the technical field of directional drilling data measurement analysis, and particularly discloses a directional drilling data measurement analysis method based on artificial intelligence, which comprises the steps of obtaining initial directional drilling data and measured directional drilling data, carrying out directional drilling track analysis according to geographic information and directional drilling geological analysis according to geological data, judging whether drilling regulation and control are needed according to analysis results, if the drilling regulation and control are needed, confirming a regulation and control type, confirming drilling regulation and control indexes according to the regulation and control type, carrying out corresponding regulation and control, and simultaneously carrying out drilling machine drilling state analysis and feedback; the method solves the defect that the misaligned track section is not further analyzed at present, further shows the detail condition of the misaligned track, ensures that the track deviation index analysis result is more comprehensive, and simultaneously ensures the validity and reliability of drilling attitude regulation and control, thereby improving the reliability of drilling regulation and control.
Description
Technical Field
The invention belongs to the technical field of directional drilling data measurement and analysis, and relates to an artificial intelligence-based directional drilling data measurement and analysis method.
Background
Directional drilling is a special drilling technology for achieving a specific purpose by controlling the direction and inclination angle of a drilling machine when drilling a subsurface target area, and is mainly applied to the fields of petroleum and natural gas exploration and development, geothermal energy source development, water resource exploration and the like. In order to improve the efficiency and success rate of directional drilling, measurement and analysis of directional drilling data is important.
The current measurement and analysis of directional drilling data mainly monitors according to drilling tracks, analyzes the accuracy of the drilling tracks, and correspondingly regulates and controls when drilling is inaccurate, and has the following defects: 1. deficiency in drilling trajectory accuracy assessment: the track deviation analysis is carried out at present, and single comparison analysis is carried out mainly according to the superposition degree of the actually detected track and the planned detected track and the superposition degree of the actually detected track and the reference track, so that the non-coincident track section is not further analyzed, the detail condition of the non-coincident track is ignored, and the depth of the drilling track analysis result is shallow.
2. The reliability of current drilling regulation is not strong, and is specifically expressed in: a1, when drilling regulation and control are carried out at present, direction regulation and control and inclination regulation and control are carried out only through the position of the drilling machine, and the drilling machine belongs to single-attitude regulation and control, and the specific geological environment is not considered, so that the effectiveness and reliability of regulation and control cannot be guaranteed.
A2, the geological environment can interfere the drilling speed, the drilling speed influences the stability of the drilling posture, the current geological deviation is not combined to regulate and control the drilling speed, the stability of the drilling regulation and control cannot be guaranteed, and the occurrence probability of the follow-up drilling track deviation again cannot be guaranteed.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the background art, an artificial intelligence-based measurement and analysis method for directional drilling data is proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides an artificial intelligence-based directional drilling data measurement and analysis method, which comprises the following steps: step one, extracting initial directional drilling data: geological data corresponding to the initial survey of the target drilling area, the initial planned trajectory, and the set drilling speed at each initial planned trajectory location are extracted.
Step two, measuring directional drilling data: when directional drilling is started, monitoring geographical information and monitoring geological data at each measurement time point are recorded.
Step three, analyzing the directional drilling track: and analyzing the deviation index of the drilling track according to the initial planned track and the monitoring geographic information of each measurement time point.
Step four, directional drilling geological analysis: and analyzing the geological deviation index according to the geological data of the initial survey and the monitored geological data of each measurement time point.
Fifthly, drilling regulation and control judgment confirmation: and judging the drilling regulation and control requirement according to the drilling track deviation index and the geological deviation index, and if the requirement judgment result is the requirement, confirming the drilling regulation and control type, wherein the drilling regulation and control type is one or more of drilling attitude regulation and control and drilling speed regulation.
Step six, drilling index regulation and control confirmation: and according to the drilling regulation type, confirming the drilling regulation index under the drilling regulation type, and carrying out corresponding regulation.
Step seven, drilling state analysis and feedback of the drilling machine: and comparing the drilling state data of the drilling machine with the drilling state data of the drilling machine at each measuring time point according to the preset drilling state data of the drilling machine, analyzing the safety index of the drilling state of the drilling machine, and feeding back the safety index.
Preferably, the analyzing the drilling trajectory deviation index comprises: and importing the geographic information of each measurement time point into an electronic map to obtain each marked position point, and generating an actual detection track by connecting each marked position point.
The actual detection track is subjected to coincidence comparison with the initial planned track to obtain the length of the coincident track and each non-coincident track section, the length of the coincident track is compared with the length of the actual detection track, the ratio is recorded as the length ratio of the coincident track, and the ratio is recorded as。
If it is0 Was taken as the drilling trajectory deviation index.
If it isExtracting the vertical distance between the actual detection track and the adjacent planned drilling track in each misaligned track section, screening out the maximum vertical distance, and marking asSimultaneously extracting the included angle between the actual detection track and the adjacent planned drilling track in each non-coincident track section, and further screening out the maximum included angle, and recording asAnd according toAndObtaining drilling track deviation index through statistics of drilling track deviation statistical model。
Preferably, the specific expression formula of the drilling track deviation statistical model comprises: counting deviation index of drilling track，，、AndRespectively setting the reference coincidence track ratio, the maximum vertical distance and the maximum included angle,Representing natural constants.
Preferably, said analyzing a geological deviation index comprises: and extracting the monitoring depth from the monitoring geographic information of each measuring time point.
Each initial survey depth value that is located before the corresponding monitored depth at the current point in time of measurement is located from the initial survey geological data and is used as each target survey depth value.
And extracting geological data of the target depth of investigation values from the monitored geological data of each measuring time point, further extracting the monitored soil compactness of each target depth of investigation value, and simultaneously extracting the initial soil compactness of each target depth of investigation value from the initial geological data of investigation.
Comparing the initial soil compactness and the monitored soil compactness at the same target depth of investigation value, analyzing the geological deviation index of each target depth of investigation value, and screening the maximum value from the geological deviation index as the geological deviation index of the target depth of investigation value, and recording as。
Combining the target depth of investigation values two by two to obtain target depth of investigation sets, and comparing the monitored soil compactness of the target depth of investigation values in the target depth of investigation sets according to the following stepsThe analysis mode of (a) is similar to the analysis to obtain a geological deviation index of a target survey depth group, and the geological deviation index is recorded as。
Statistical geological deviation index，，AndA reference weight for the geological deviation index for the set target depth of investigation value and a reference weight for the geological deviation index for the set target depth of investigation value,，。
Preferably, the drilling control demand judgment includes: if it isOr alternativelyAnd the drilling regulation and control requirement judging result is requirement regulation and control.
If it isAnd is also provided withAnd the drilling regulation and control requirement judging result is no requirement regulation and control.
Preferably, the identifying the drilling modulation type comprises: if it isAnd is also provided withThe drilling regulation type is drilling posture regulation.
If it isAnd is also provided withThe drilling regulation type is drilling speed regulation.
If it isAnd is also provided withThe drilling regulation type is drilling posture regulation and drilling speed regulation.
Preferably, the identifying the drilling control index under the drilling control type includes: if the drilling regulation type is drilling posture regulation, selecting a marked position point corresponding to the current measurement time point from the actual detection track as a target position, and mapping the target position to an initial planning track to obtain a mapping point position.
And extracting the monitoring longitude, the monitoring latitude and the monitoring depth of the current measurement time point from the monitoring geographic information of each measurement time point, further converting the monitoring longitude, the monitoring latitude and the monitoring depth into three-dimensional position coordinates, and simultaneously importing the position of the mapping point into a three-dimensional position coordinate system to generate the three-dimensional coordinates of the position of the mapping point.
And correspondingly comparing coordinate components in the X-axis direction, the Y-axis direction and the Z-axis direction in the coordinates of the three-dimensional position of the target position with coordinate components in the X-axis direction, the Y-axis direction and the Z-axis direction in the coordinates of the three-dimensional position of the mapping point position, and counting the number of deviation components.
When the number of the deviation components is 1, the deviation components are confirmed, the deviation components corresponding to the target position and the mapping point are led into a unidirectional deviation regulation model, and then a regulation value and a regulation direction are obtained, and the regulation value and the regulation direction are used as regulation indexes under the regulation of the drilling posture.
When the number of the deviation components is greater than 1, confirming each deviation component, and guiding each deviation component corresponding to the target position and the mapping point position into a multidirectional deviation regulation model to obtain a regulation mode as a regulation index under the regulation of the drilling attitude.
And if the drilling regulation type is drilling speed regulation, confirming a regulation index under the drilling speed regulation.
And if the drilling regulation type is drilling posture regulation and drilling speed regulation, taking the regulation index under the drilling posture and the regulation index under the drilling speed as the regulation index under the regulation type.
Preferably, the determining the regulation index under the regulation of the drilling speed includes: and extracting the soil compactness of the current measurement time point from the geological data of each measurement time point to serve as the actual soil compactness.
Matching and comparing the actual soil compactness with the reference soil compactness corresponding to each set drilling speed to obtain the matching drilling speed corresponding to the actual soil compactness, and recording as。
Extracting the set drilling speed corresponding to the mapping point position from the set drilling speeds at each initial planned track position according to the mapping point position corresponding to the initial planned track as the actual drilling speed, and recording as。
Will beAnd (3) withMaking a difference, recording the difference as a drilling speed difference, and taking the absolute value of the drilling speed difference as a drilling speed regulating and controlling value.
If the drilling speed difference is greater than 0, the drilling speed regulation type is marked as regulation, if the drilling speed difference is less than 0, the drilling speed regulation type is marked as regulation, and the regulation drilling speed value and the drilling speed regulation type are used as regulation indexes under the regulation of the drilling speed.
Preferably, the analyzing the safety index of the drilling state of the drilling machine comprises: and extracting the monitoring temperature and the monitoring vibration frequency from drilling state data of each measuring time point, and extracting the early warning temperature value, the reference temperature change curve, the reference vibration change curve and the early warning vibration frequency from preset drilling state data of the drilling machine.
According to the monitored temperature, the early warning temperature value and the reference temperature change curve of each measuring time, counting the temperature safety index。
According to the monitoring vibration frequency, the reference vibration variation curve and the early warning vibration frequency, the vibration frequency safety index is obtained by the same statistics according to the statistical mode of the temperature safety index and is recorded as。
Statistics of drilling state safety index of drilling machine，，AndRespectively setting a temperature safety index reference weight and a vibration frequency safety index reference weight,，。
Preferably, the statistical temperature safety index includes: comparing each monitored temperature with the early warning temperature value, if a certain monitored temperature is smaller than the early warning temperature value, recording the monitored temperature as a safe temperature, counting the number of the safe temperatures, and recording asAnd the number of the monitored temperatures is recorded as。
Taking the measuring time as an abscissa and the monitoring temperature as an ordinate, constructing a temperature change curve, and according to the reference temperature change curve, performing superposition comparison on the temperature change curve and the reference temperature change curve to obtain the superposition temperature curve length, and recording asAnd the length of the temperature change curve is recorded as。
Statistical temperature safety index，，AndThe temperature qualification ratio and the temperature anastomosis ratio of the set reference are respectively.
Compared with the prior art, the invention has the following beneficial effects: (1) According to the invention, the drilling track deviation index analysis is carried out from three parameter dimensions of the length ratio of the coincident track, the maximum track vertical distance of the non-coincident track section and the maximum track included angle, so that the defect that the non-coincident track section is not further analyzed at present is solved, the detail condition of the non-coincident track is further displayed, the track deviation index analysis result is more comprehensive, and the accuracy of the subsequent drilling posture regulation is further improved.
(2) According to the invention, the geological deviation index analysis is carried out through the deviation between the current monitored geology and the initial geology and the deviation between the monitored geology, so that the problem that the degree of difference between geological layers is not considered at present is solved, the representativeness of the geological deviation index analysis result is improved, the error of carrying out the geological deviation index analysis from a single depth value is reduced, the geological deviation problem can be found in time, and the working efficiency of the drilling machine is further improved.
(3) According to the invention, through geological deviation index analysis, the geological state is intuitively displayed, and data assistance is provided for subsequent drilling attitude regulation and control. The reliability and representativeness of the geological analysis result are guaranteed.
(4) According to the invention, when the drilling regulation is carried out, the targeted drilling regulation is carried out from two dimensions of the drilling posture and the drilling speed, and the influence of the geological environment on the drilling regulation is fully considered when the drilling posture regulation and the drilling speed are carried out, so that the effectiveness and the reliability of the drilling posture regulation are ensured, the stability of the drilling regulation is ensured, the occurrence probability of secondary deviation of a subsequent drilling track is further reduced, and the reliability of the drilling regulation is further improved.
(5) When the drilling attitude is regulated and controlled, the unidirectional deviation regulation and control model and the multidirectional deviation regulation and control model are arranged, so that the drilling regulation and control attitude is confirmed, the actual drilling attitude of the drilling machine is comprehensively reflected, the accuracy of drilling attitude regulation and control is improved, and complex geological conditions are flexibly dealt with.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of the method steps of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a directional drilling data measurement and analysis method based on artificial intelligence, which comprises the following steps: step one, extracting initial directional drilling data: geological data corresponding to the initial survey of the target drilling area, the initial planned trajectory, and the set drilling speed at each initial planned trajectory location are extracted.
It should be added that the set drilling speed at each initial planned trajectory position is set based on the corresponding geological data at each trajectory position of the survey.
Step two, measuring directional drilling data: when directional drilling is started, monitoring geographical information and monitoring geological data at each measurement time point are recorded.
It is to be added that the monitoring geographic information comprises a monitoring longitude, a monitoring latitude and a monitoring depth, the monitoring longitude and the monitoring latitude are obtained through GPS (global positioning system) monitoring carried by a drilling machine, the monitoring depth is obtained through monitoring by a vertical displacement sensor arranged on a drill rod, the monitoring geological data comprises a monitoring soil compactness, and the monitoring soil compactness is obtained through monitoring by a soil field monitoring sensor.
Step three, analyzing the directional drilling track: and analyzing the deviation index of the drilling track according to the initial planned track and the monitoring geographic information of each measurement time point.
Illustratively, the analyzing the drilling trajectory deviation index includes: and importing the geographic information of each measurement time point into an electronic map to obtain each marked position point, and generating an actual detection track by connecting each marked position point.
The actual detection track is subjected to coincidence comparison with the initial planned track to obtain the length of the coincident track and each non-coincident track section, the length of the coincident track is compared with the length of the actual detection track, the ratio is recorded as the length ratio of the coincident track, and the ratio is recorded as。
If it is0 Was taken as the drilling trajectory deviation index.
If it isExtracting the vertical distance between the actual detection track and the adjacent planned drilling track in each misaligned track section, screening out the maximum vertical distance, and marking asSimultaneously extracting the included angle between the actual detection track and the adjacent planned drilling track in each non-coincident track section, and further screening out the maximum included angle, and recording asAnd according toAndObtaining drilling track deviation index through statistics of drilling track deviation statistical model。
Illustratively, the specific expression formula of the drilling trajectory deviation statistical model includes: counting deviation index of drilling track，，、AndRespectively setting the reference coincidence track ratio, the maximum vertical distance and the maximum included angle,Representing natural constants.
It should be added that in general, the allowable deviation of the drilling track is in the range of 0.05-0.15, so thatThe specific value is 0.85,AndAre extracted from the directional drilling specification sheet, and, for ease of analysis,AndThe values can be specifically 0.1 meter and 5 degrees respectively.
According to the embodiment of the invention, the drilling track deviation index analysis is carried out from three parameter dimensions of the length ratio of the coincident track, the maximum track vertical distance of the non-coincident section and the maximum track included angle, so that the defect that the non-coincident track section is not further analyzed at present is overcome, the detail condition of the non-coincident track is further displayed, the track deviation index analysis result is more comprehensive, and the accuracy of the subsequent drilling posture regulation is further improved.
Step four, directional drilling geological analysis: and analyzing the geological deviation index according to the geological data of the initial survey and the monitored geological data of each measurement time point.
Illustratively, the analyzing the geological deviation index comprises: and extracting the monitoring depth from the monitoring geographic information of each measuring time point.
Each initial survey depth value that is located before the corresponding monitored depth at the current point in time of measurement is located from the initial survey geological data and is used as each target survey depth value.
And extracting geological data of the target depth of investigation values from the monitored geological data of each measuring time point, further extracting the monitored soil compactness of each target depth of investigation value, and simultaneously extracting the initial soil compactness of each target depth of investigation value from the initial geological data of investigation.
Comparing the initial soil compactness and the monitored soil compactness at the same target depth of investigation value, analyzing the geological deviation index of each target depth of investigation value, and screening the maximum value from the geological deviation index as the geological deviation index of the target depth of investigation value, and recording as。
It is to be added that the specific analysis of the geological deviation index at the target depth of investigation: the initial survey soil compactness and the monitored soil compactness at the same target survey depth are respectively recorded asAnd，The number at the target depth of investigation is given,。
Statistics of geologic bias index at target depth of investigation，，The soil compactness for the set reference is poor.
It is to be added that the method comprises the steps of,Is extracted from the directional drilling specification sheet, and, for ease of analysis,Specifically, the value can be 0.1.
Combining the target depth of investigation values two by two to obtain target depth of investigation sets, and comparing the monitored soil compactness of the target depth of investigation values in the target depth of investigation sets according to the following stepsThe analysis mode of (a) is similar to the analysis to obtain a geological deviation index of a target survey depth group, and the geological deviation index is recorded as。
According to the embodiment of the invention, the geological deviation index analysis is carried out through the deviation between the current monitored geology and the initial geology and the deviation between the monitored geology, so that the problem that the degree of difference between geological layers is not considered at present is solved, the representativeness of the geological deviation index analysis result is improved, the error of carrying out the geological deviation index analysis from a single depth value is reduced, the geological deviation problem can be found in time, and the working efficiency of the drilling machine is further improved.
Statistical geological deviation index，，AndA reference weight for the geological deviation index for the set target depth of investigation value and a reference weight for the geological deviation index for the set target depth of investigation value,，。
It should be added that when the deviation between the geological data of the actual survey and the geological data of the initial survey is large, the actual survey has poor reliability, and the setting effect on the subsequent drilling speed is large, so that the reference weight of the geological deviation index at the set target depth of investigation is maximum, and when the deviation between the survey groups is large, the probability of deviation of the track is increased along with the increase when the drilling is performed in the middle of the survey groups by using the set drilling speed, so that the geological deviation condition between the set target depth of investigation needs to be considered and a reference weight is set. For ease of analysis, in particular,，。
According to the embodiment of the invention, through geological deviation index analysis, the geological state is intuitively displayed, and data assistance is provided for subsequent drilling attitude regulation and control. The reliability and representativeness of the geological analysis result are guaranteed.
Fifthly, drilling regulation and control judgment confirmation: and judging the drilling regulation and control requirement according to the drilling track deviation index and the geological deviation index, and if the requirement judgment result is the requirement, confirming the drilling regulation and control type, wherein the drilling regulation and control type is one or more of drilling attitude regulation and control and drilling speed regulation.
Illustratively, the drilling regulatory requirement determination comprises: if it isOr alternativelyAnd the drilling regulation and control requirement judging result is requirement regulation and control.
If it isAnd is also provided withAnd the drilling regulation and control requirement judging result is no requirement regulation and control.
Illustratively, the identifying drilling regulatory type includes: if it isAnd is also provided withThe drilling regulation type is drilling posture regulation.
If it isAnd is also provided withThe drilling regulation type is drilling speed regulation.
If it isAnd is also provided withThe drilling regulation type is drilling posture regulation and drilling speed regulation.
Step six, drilling index regulation and control confirmation: and according to the drilling regulation type, confirming the drilling regulation index under the drilling regulation type, and carrying out corresponding regulation.
Illustratively, the validating drilling control indicators under a drilling control type includes: if the drilling regulation type is drilling posture regulation, selecting a marked position point corresponding to the current measurement time point from the actual detection track as a target position, and mapping the target position to an initial planning track to obtain a mapping point position.
And extracting the monitoring longitude, the monitoring latitude and the monitoring depth of the current measurement time point from the monitoring geographic information of each measurement time point, further converting the monitoring longitude, the monitoring latitude and the monitoring depth into three-dimensional position coordinates, and simultaneously importing the position of the mapping point into a three-dimensional position coordinate system to generate the three-dimensional coordinates of the position of the mapping point.
And correspondingly comparing coordinate components in the X-axis direction, the Y-axis direction and the Z-axis direction in the coordinates of the three-dimensional position of the target position with coordinate components in the X-axis direction, the Y-axis direction and the Z-axis direction in the coordinates of the three-dimensional position of the mapping point position, and counting the number of deviation components.
When the number of the deviation components is 1, the deviation components are confirmed, the deviation components corresponding to the target position and the mapping point are led into a unidirectional deviation regulation model, and then a regulation value and a regulation direction are obtained, and the regulation value and the regulation direction are used as regulation indexes under the regulation of the drilling posture.
The specific confirmation process of the unidirectional deviation regulation model needs to be supplemented: if the deviation component is an X component, extracting the X component of the target position and the mapping point position from the three-dimensional coordinate system, performing difference between the coordinate components of the X axis corresponding to the target position and the mapping point position, and taking the absolute value of the difference as a regulating value.
According to the regulation value, the direction of the X component of the target position to the X component of the mapping point position is taken as the regulation direction, wherein the arrow direction of the X axis is taken as the right direction, if the X component of the mapping point position is positioned at the left side of the X component of the target position, the X component of the mapping point position is taken as the regulation direction, and if the X component of the mapping point position is positioned at the right side of the X component of the target position, the X component of the mapping point position is taken as the regulation direction, and the X component of the mapping point position is taken as the right direction.
And (3) performing homologous analysis according to the analysis modes of the regulating value and the regulating direction to obtain a regulating value of the Y component, a regulating direction of the Y component, a regulating value of the Z component and a regulating direction of the Z component.
When the number of the deviation components is greater than 1, confirming each deviation component, and guiding each deviation component corresponding to the target position and the mapping point position into a multidirectional deviation regulation model to obtain a regulation mode as a regulation index under the regulation of the drilling attitude.
The specific confirmation process of the multidirectional deviation regulation model needs to be supplemented: if the deviation component is an X component and a Y component, the two-dimensional position sitting mark of the target position formed by the X-axis coordinate component and the Y-axis coordinate component of the target position is as followsAnd the two-dimensional position sitting marks which are formed into the positions of the mapping points are formed according to the two-dimensional position coordinates of the target positions in the same way。
Statistics of angle control values of X-Y components，。
And importing the two-dimensional position coordinates of the target position and the two-dimensional position coordinates of the mapping point position into a two-dimensional coordinate system to obtain a target position marking point and a mapping point position marking point, taking anticlockwise regulation as an angle regulation mode if the target position marking point is positioned at the left side of the mapping point position marking point, taking clockwise regulation as an angle regulation direction if the target position marking point is positioned at the right side of the mapping point position marking point, and taking an angle regulation value and an angle regulation direction as regulation indexes under drilling posture regulation.
And (3) calculating the angle regulation value of the X-Z component, the angle regulation direction of the X-Z component, the angle regulation value of the Y-Z component and the angle regulation direction of the Y-Z component according to the same calculation method of the angle regulation value of the X-Y component and the angle regulation direction.
If the components with deviation are X component, Y component and Z component, respectively marking the three-dimensional position coordinates of the target position and the mapping point position asAnd。
Calculating a deviation vector between the target position and the map point position、AndWherein、And。
Statistics of azimuth angle，WhereinIs a function commonly available in various programming environments that calculates the arctangent of two values, the return angle being atTo the point ofAnd a value in between.
Statistical regulation of pitch angle，WhereinIs the size of the distance between points on the horizontal plane,。
And taking the regulation azimuth angle and the regulation pitch angle as regulation indexes under the regulation of the drilling attitude.
When the embodiment of the invention is used for regulating and controlling the drilling attitude, the unidirectional deviation regulating and controlling model and the multidirectional deviation regulating and controlling model are arranged, so that the drilling regulating and controlling attitude is confirmed, the actual drilling attitude of the drilling machine is comprehensively reflected, the accuracy of regulating and controlling the drilling attitude is improved, and complex geological conditions are flexibly dealt with.
And if the drilling regulation type is drilling speed regulation, confirming a regulation index under the drilling speed regulation.
Further, the determining the control index under the control of the drilling speed includes: and extracting the soil compactness of the current measurement time point from the geological data of each measurement time point to serve as the actual soil compactness.
Matching and comparing the actual soil compactness with the reference soil compactness corresponding to each set drilling speed to obtain the matching drilling speed corresponding to the actual soil compactness, and recording as。
Extracting the set drilling speed corresponding to the mapping point position from the set drilling speeds at each initial planned track position according to the mapping point position corresponding to the initial planned track as the actual drilling speed, and recording as。
Will beAnd (3) withMaking a difference, recording the difference as a drilling speed difference, and taking the absolute value of the drilling speed difference as a drilling speed regulating and controlling value.
If the drilling speed difference is greater than 0, the drilling speed regulation type is marked as regulation, if the drilling speed difference is less than 0, the drilling speed regulation type is marked as regulation, and the regulation drilling speed value and the drilling speed regulation type are used as regulation indexes under the regulation of the drilling speed.
And if the drilling regulation type is drilling posture regulation and drilling speed regulation, taking the regulation index under the drilling posture and the regulation index under the drilling speed as the regulation index under the regulation type.
According to the embodiment of the invention, when the drilling regulation is carried out, the targeted drilling regulation is carried out from two dimensions of the drilling posture and the drilling speed, and the influence of the geological environment on the drilling regulation is fully considered when the drilling posture regulation and the drilling speed are carried out, so that the effectiveness and the reliability of the drilling posture regulation are ensured, the stability of the drilling regulation is ensured, the occurrence probability of secondary deviation of a subsequent drilling track is further reduced, and the reliability of the drilling regulation is further improved.
Step seven, drilling state analysis and feedback of the drilling machine: and comparing the drilling state data of the drilling machine with the drilling state data of the drilling machine at each measuring time point according to the preset drilling state data of the drilling machine, analyzing the safety index of the drilling state of the drilling machine, and feeding back the safety index.
The preset drilling machine drilling state data comprise an early warning temperature value, a reference temperature change curve, a reference vibration change curve and an early warning vibration frequency.
It is also necessary to supplement that the monitored temperature is monitored by a temperature sensor located on the rig and the monitored vibration frequency is monitored by a vibration sensor located on the rig.
Illustratively, the analyzing the safety index of the drilling state of the drilling machine comprises: and extracting the monitoring temperature and the monitoring vibration frequency from drilling state data of each measuring time point, and extracting the early warning temperature value, the reference temperature change curve, the reference vibration change curve and the early warning vibration frequency from preset drilling state data of the drilling machine.
According to the monitored temperature, the early warning temperature value and the reference temperature change curve of each measuring time, counting the temperature safety index。
Further, the statistical temperature safety index includes: comparing each monitored temperature with the early warning temperature value, if a certain monitored temperature is smaller than the early warning temperature value, recording the monitored temperature as a safe temperature, counting the number of the safe temperatures, and recording asAnd the number of the monitored temperatures is recorded as。
Taking the measuring time as an abscissa and the monitoring temperature as an ordinate, constructing a temperature change curve, and according to the reference temperature change curve, performing superposition comparison on the temperature change curve and the reference temperature change curve to obtain the superposition temperature curve length, and recording asAnd the length of the temperature change curve is recorded as。
Statistical temperature safety index，，AndThe temperature qualification ratio and the temperature anastomosis ratio of the set reference are respectively.
It should be added that when the ratio of the number of the safe temperature differences to the number of the monitored temperatures is greater than 0.9, the temperature state of the drilling machine is qualified at the moment, so thatCan take a value of 0.9, and when the ratio of the length of the coincidence curve to the length of the temperature change curve is more than 0.85, the temperature state of the drilling machine is shown to be the coincidence state at the moment, thusThe value can be 0.85.
According to the monitoring vibration frequency, the reference vibration change curve and the early warning vibration frequency, the vibration frequency safety index is obtained by the same statistics according to the statistical mode of the temperature safety index and is recorded as。
Statistics of drilling state safety index of drilling machine，，AndRespectively setting a temperature safety index reference weight and a vibration frequency safety index reference weight,，。
It should be added that the set temperature qualification index reference weight is smaller than the drilling speed qualification index reference weight, because the influence of temperature on the drilling machine is mainly reflected on equipment durability, drill life and drilling efficiency, while the vibration frequency directly affects drilling precision, equipment fatigue and operation safety, and when high-precision drilling or working in complex stratum is required, the control of the vibration frequency is particularly important, so the vibration frequency safety index reference weight is generally given higher specific gravity. For easy analysis, the security index reference weight may be specifically valued as，。
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (10)
1. An artificial intelligence-based directional drilling data measurement and analysis method is characterized in that: the method comprises the following steps:
Step one, extracting initial directional drilling data: extracting geological data, an initial planned trajectory and set drilling speeds at the positions of the initial planned trajectories corresponding to the initial survey of the target drilling area;
step two, measuring directional drilling data: when directional drilling is started, recording monitoring geographic information and monitoring geological data of each measurement time point;
step three, analyzing the directional drilling track: analyzing a drilling track deviation index according to the initial planned track and the monitoring geographic information of each measurement time point;
Step four, directional drilling geological analysis: analyzing a geological deviation index according to the geological data of the initial survey and the monitored geological data of each measurement time point;
Fifthly, drilling regulation and control judgment confirmation: according to the drilling track deviation index and the geological deviation index, drilling regulation and control requirements are judged, if the requirements are judged as requirements, the drilling regulation and control type is confirmed, and the drilling regulation and control type is one or more of drilling attitude regulation and control and drilling speed regulation;
step six, drilling index regulation and control confirmation: according to the drilling regulation type, confirming drilling regulation indexes under the drilling regulation type, and carrying out corresponding regulation;
step seven, drilling state analysis and feedback of the drilling machine: and comparing the drilling state data of the drilling machine with the drilling state data of the drilling machine at each measuring time point according to the preset drilling state data of the drilling machine, analyzing the safety index of the drilling state of the drilling machine, and feeding back the safety index.
2. An artificial intelligence based directional drilling data measurement and analysis method according to claim 1, characterized in that: the analyzing drilling trajectory deviation index comprises:
the geographic information of each measurement time point is imported into an electronic map to obtain each marked position point, and an actual detection track is generated by connecting each marked position point;
the actual detection track is subjected to coincidence comparison with the initial planned track to obtain the length of the coincident track and each non-coincident track section, the length of the coincident track is compared with the length of the actual detection track, the ratio is recorded as the length ratio of the coincident track, and the ratio is recorded as ；
If it isTaking 0 as a drilling track deviation index;
If it is Extracting the vertical distance between the actual detection track and the adjacent planned drilling track in each misaligned track section, and screening out the maximum vertical distance from the vertical distance, and recording the maximum vertical distance as/>Simultaneously extracting the included angle between the actual detection track and the adjacent planned drilling track in each non-coincident track section, and further screening out the maximum included angle, and recording the maximum included angle as/>And according to/>And/>Obtaining drilling track deviation index/>, through statistics of drilling track deviation statistical model。
3. An artificial intelligence based directional drilling data measurement and analysis method according to claim 2, characterized in that: the concrete expression formula of the drilling track deviation statistical model comprises the following steps:
Counting deviation index of drilling track ，/>，/>、/>And/>Respectively setting the superposition track ratio, the maximum vertical distance and the maximum included angle of the reference,/>Representing natural constants.
4. An artificial intelligence based directional drilling data measurement and analysis method according to claim 1, characterized in that: the analyzing the geological deviation index comprises:
Extracting monitoring depth from the monitoring geographic information of each measuring time point;
Positioning each initial survey depth value positioned before the corresponding monitoring depth of the current measurement time point from the initial survey geological data, and taking the initial survey depth value as each target survey depth value;
Extracting geological data of target survey depth values from the monitored geological data of each measurement time point, further extracting the monitored soil compactness of each target survey depth value, and simultaneously extracting the initial soil compactness of each target survey depth value from the initial survey geological data;
Comparing the initial soil compactness and the monitored soil compactness at the same target depth of investigation value, analyzing the geological deviation index of each target depth of investigation value, and screening the maximum value from the geological deviation index as the geological deviation index of the target depth of investigation value, and recording as ；
Combining the target depth of investigation values two by two to obtain target depth of investigation sets, and comparing the monitored soil compactness of the target depth of investigation values in the target depth of investigation sets according to the following stepsThe analysis mode of (a) is similar to the analysis to obtain a geological deviation index of a target survey depth group, which is recorded as/>；
Statistical geological deviation index，/>，/>And/>Geological deviation index reference weights for the set target depth of investigation values and geological deviation index reference weights for the set target depth of investigation values,/>, respectively，。
5. An artificial intelligence based directional drilling data measurement and analysis method as defined in claim 4, wherein: the drilling regulation and control requirement judgment comprises the following steps:
If it is Or/>The drilling regulation and control requirement judgment result is the requirement regulation and control;
If it is And/>And the drilling regulation and control requirement judging result is no requirement regulation and control.
6. An artificial intelligence based directional drilling data measurement and analysis method according to claim 5, wherein: the identifying drilling regulatory type includes:
If it is And/>The drilling regulation type is drilling attitude regulation;
If it is And/>The drilling regulation type is drilling speed regulation;
If it is And/>The drilling regulation type is drilling posture regulation and drilling speed regulation.
7. An artificial intelligence based directional drilling data measurement and analysis method according to claim 6, wherein: the determining the drilling control index under the drilling control type comprises the following steps:
if the drilling regulation type is drilling posture regulation, selecting a marked position point corresponding to the current measurement time point from the actual detection track as a target position, and mapping the target position to an initial planning track to obtain a mapping point position;
Extracting the monitoring longitude, the monitoring latitude and the monitoring depth of the current measurement time point from the monitoring geographic information of each measurement time point, further converting the monitoring longitude, the monitoring latitude and the monitoring depth into three-dimensional position coordinates, and simultaneously importing the position of the mapping point into a three-dimensional position coordinate system to generate the three-dimensional coordinates of the position of the mapping point;
Correspondingly comparing coordinate components in the X-axis direction, the Y-axis direction and the Z-axis direction in the coordinates of the three-dimensional position of the target position with coordinate components in the X-axis direction, the Y-axis direction and the Z-axis direction in the coordinates of the three-dimensional position of the mapping point position, and counting the number of deviation components;
when the number of the deviation components is 1, confirming the deviation components, guiding the deviation components corresponding to the target position and the mapping point into a unidirectional deviation regulation model, further obtaining a regulation value and a regulation direction, and taking the regulation value and the regulation direction as regulation indexes under the regulation of the drilling posture;
When the number of the deviation components is greater than 1, confirming each deviation component, and importing each deviation component corresponding to the target position and the mapping point position into a multidirectional deviation regulation model to obtain a regulation mode as a regulation index under the regulation of the drilling attitude;
If the drilling regulation type is drilling speed regulation, confirming a regulation index under the drilling speed regulation;
And if the drilling regulation type is drilling posture regulation and drilling speed regulation, taking the regulation index under the drilling posture and the regulation index under the drilling speed as the regulation index under the regulation type.
8. An artificial intelligence based directional drilling data measurement and analysis method according to claim 7, wherein: the method for confirming the regulation and control index under the regulation and control of the drilling speed comprises the following steps:
extracting the soil compactness of the current measurement time point from the geological data of each measurement time point to serve as the actual soil compactness;
matching and comparing the actual soil compactness with the reference soil compactness corresponding to each set drilling speed to obtain the matching drilling speed corresponding to the actual soil compactness, and recording as ；
Extracting the set drilling speed corresponding to the mapping point position from the set drilling speeds at each initial planned track position according to the mapping point position corresponding to the initial planned track as the actual drilling speed, and recording as；
Will beAnd/>Making a difference, marking the difference as a drilling speed difference, and taking an absolute value of the drilling speed difference as a drilling speed regulating and controlling value;
if the drilling speed difference is greater than 0, the drilling speed regulation type is marked as regulation, if the drilling speed difference is less than 0, the drilling speed regulation type is marked as regulation, and the regulation drilling speed value and the drilling speed regulation type are used as regulation indexes under the regulation of the drilling speed.
9. An artificial intelligence based directional drilling data measurement and analysis method according to claim 1, characterized in that: the safety index for analyzing the drilling state of the drilling machine comprises the following steps:
Extracting monitoring temperature and monitoring vibration frequency from drilling state data of each measuring time point, and extracting an early warning temperature value, a reference temperature change curve, a reference vibration change curve and an early warning vibration frequency from preset drilling state data of a drilling machine;
According to the monitored temperature, the early warning temperature value and the reference temperature change curve of each measuring time, counting the temperature safety index ；
According to the monitoring vibration frequency, the reference vibration variation curve and the early warning vibration frequency, the vibration frequency safety index is obtained by the same statistics according to the statistical mode of the temperature safety index and is recorded as；
Statistics of drilling state safety index of drilling machine，/>，/>And/>Respectively setting a temperature safety index reference weight and a vibration frequency safety index reference weight,/>，/>。
10. An artificial intelligence based directional drilling data measurement and analysis method according to claim 9, wherein: the statistical temperature safety index comprises:
comparing each monitored temperature with the early warning temperature value, if a certain monitored temperature is smaller than the early warning temperature value, recording the monitored temperature as a safe temperature, counting the number of the safe temperatures, and recording as And the number of monitored temperatures was recorded as/>；
Taking the measuring time as an abscissa and the monitoring temperature as an ordinate, constructing a temperature change curve, and according to the reference temperature change curve, performing superposition comparison on the temperature change curve and the reference temperature change curve to obtain the superposition temperature curve length, and recording asAnd the length of the temperature change curve is recorded as/>；
Statistical temperature safety index，/>，/>And/>The temperature qualification ratio and the temperature anastomosis ratio of the set reference are respectively.
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