Shield flow motor geological exploration well logging system and well logging method
By dividing the stratigraphic sections into three equal parts and extracting the depth values of pretreatment, the coordinates of the rock drilling position are predicted, and the errors are screened through the difference detection data, more accurate and efficient geological exploration detection results are achieved.
Patent Information
- Application Number
- CN202510474954.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-16
- Publication Date
- 2025-06-24
AI Technical Summary
When traditional geological exploration technology deals with large strata inclination, there are large errors in the detection data, resulting in low efficiency and insufficient accuracy of geological detection.
By dividing the stratigraphic section of the target detection site into three parts, the pretreatment depth value is extracted, the coordinate lines and drilling coordinates of the rock drilling position of other detection sites are predicted, and the error of the difference detection data is screened is combined to conduct a comprehensive geological evaluation.
It improves the reliability and accuracy of geological detection data, avoids errors caused by single-point detection in traditional technologies, and improves the efficiency of the entire geological exploration work.
Smart Images
Figure CN120193834A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of geological exploration, and particularly relates to a screen flow motor geological exploration logging system and a logging method. Background Art
[0002] Geological exploration is to prospect and detect the geology through various means and methods. With the progress of technology and the development of society, geological exploration will continue to play its important role and make greater contributions to the sustainable development of human society.
[0003] In traditional technologies, various detection data during the rock drilling process are often only detected once or only detected geological data at one drilling position. When there are large formation dip angles at multiple depth positions in the formation, it is very likely that there are large errors in the multiple formation characteristic data information detected, resulting in low efficiency of the entire geological detection work and low accuracy of the geological detection and evaluation results. Summary of the Invention
[0004] In order to overcome the deficiencies of the above-mentioned prior art, the present application provides a screen flow motor geological exploration logging system and a logging method.
[0005] In a first aspect, a screen flow motor geological exploration logging method provided by the present application includes:
[0006] Step S1: Divide the formation section obtained by drilling and detecting the target detection area into formation section one, formation section two, and formation section three, and extract a preprocessing depth value according to the concentrated depth longitudinal position of the formation dip angle to which formation section one belongs in the formation to be detected.
[0007] Step S2: Predict the position coordinate lines where rock drilling needs to be carried out at other detection areas according to the preprocessing depth value.
[0008] Step S3: Predict a predicted drilling coordinate one for rock drilling at other detection areas according to the position coordinate lines and the concentrated lateral position of the formation dip angle to which formation section one belongs in the formation to be detected, and correspondingly predict a predicted drilling coordinate two and a predicted drilling coordinate three for formation section two and formation section three.
[0009] Step S4: Screen out the error data in the differential detection data of the four formation characteristic data obtained by rock drilling detection at the predicted drilling coordinate one, predicted drilling coordinate two, predicted drilling coordinate three, and the target detection area, so as to comprehensively evaluate and obtain a geological detection result.
[0010] Preferably, select the main formation characteristic data obtained by rock drilling detection at the target detection area, detect the formation dip angle of each formation during the drilling detection of the target detection area, and count the formation dip angles to be detected that are greater than or equal to a preset dip angle threshold.
[0011] The formation section in the main measured formation characteristic data is divided into three equal sections to obtain formation section one, formation section two, and formation section three.
[0012] Preferably, the concentrated depth longitudinal position of the dip angle of the formation to be measured belonging to formation section one is statistically obtained to get the concentrated longitudinal position;
[0013] If the concentrated longitudinal position is continuous, the maximum depth value is selected from the concentrated longitudinal position to obtain the preprocessed depth value. If the concentrated longitudinal position is discontinuous, the maximum depth value and the minimum depth value are selected from the concentrated longitudinal position, and the average value is calculated to obtain the preprocessed depth value.
[0014] Preferably, a preset distance conversion ratio is set. According to the preprocessed depth value and the distance conversion ratio, the distance between other detection locations and the target detection location that need to be detected by rock drilling is predicted to obtain the predicted distance value;
[0015] According to formation section one, a secondary measurement area is correspondingly divided from the area where rock drilling is performed at the target detection location. According to the predicted distance value, the secondary measurement area is extended to obtain the extended area, and the edge arc in the extended area is extracted as the rock drilling detection route for other detection locations to obtain the position coordinate line.
[0016] Preferably, the concentrated lateral position of the dip angle of the formation to be measured belonging to formation section one is statistically obtained to get the concentrated lateral position. The central position point for rock drilling detection at the target detection location is obtained, and a straight line is connected between the central position point and the concentrated lateral position and extended outward to obtain the preprocessed straight line.
[0017] Preferably, the intersection point between the preprocessed straight line and the position coordinate line is used as the rock drilling detection position coordinate of the second detection location to obtain the predicted drilling coordinate one. According to the predicted drilling coordinate one, the predicted drilling coordinates two and three belonging to formation section two and formation section three are respectively predicted.
[0018] Preferably, rock drilling detections are respectively performed at the predicted drilling coordinate one, predicted drilling coordinate two, and predicted drilling coordinate three to obtain the secondary measured formation characteristic data set, and the same detection data between the secondary measured formation characteristic data set and the main measured formation characteristic data are extracted to obtain the reserved detection data one.
[0019] Preferably, according to the reserved detection data one, the differential detection data is extracted from the main measured formation characteristic data and the secondary measured formation characteristic data set, and the correlation coefficients between each item of detection data in the reserved detection data at different drilling detection positions and each item of detection data in the differential detection data are statistically obtained to get the correlation coefficient set;
[0020] Based on the set of correlation coefficients, the error data in the difference detection data is screened to obtain the reserved detection data two;
[0021] The reserved detection data one and the reserved detection data two are comprehensively geologically evaluated to obtain the geological detection result.
[0022] In a second aspect, a screen current motor geological exploration logging system includes:
[0023] A feature statistics unit, configured to divide the formation section obtained by the drilling detection of the target detection area into formation section one, formation section two, and formation section three, and extract the preprocessing depth value according to the longitudinal position of the concentrated depth of the formation dip angle to which the formation section one belongs;
[0024] A coordinate line prediction unit, configured to predict the position coordinate line where rock drilling needs to be performed in other detection areas according to the preprocessing depth value;
[0025] A coordinate point prediction unit, configured to predict the predicted drilling coordinate one for rock drilling in other detection areas according to the position coordinate line and the concentrated lateral position of the formation dip angle to which the formation section one belongs, and correspondingly predict the predicted drilling coordinates two and three for the formation sections two and three;
[0026] A geological comprehensive evaluation unit, configured to screen the error data in the difference detection data from the four formation feature data obtained by the rock drilling detection of the predicted drilling coordinate one, the predicted drilling coordinate two, the predicted drilling coordinate three, and the target detection area, so as to comprehensively evaluate and obtain the geological detection result.
[0027] Compared with the prior art, the present invention has the following characteristics and beneficial effects:
[0028] The geological detection data obtained through the initial rock drilling detection of the target detection area are used to trisect the formation section planes, so as to facilitate the statistics of the formation dip angles in the formation section plane one, formation section plane two, and formation section plane three obtained by the division. If the formation dip angle is too large, there will be a large error in many geological data information detected. Therefore, the formation dip angles with large error effects are screened out to perform subsequent feature information belonging to the data error, so as to predict the position coordinates for the subsequent rock drilling detection of other detection areas. And mainly utilize the concentrated depth longitudinal position and concentrated lateral position of the formation dip angle in the formation section plane one. In order to improve the reliability of data detection, predict the rock drilling position coordinates of multiple other detection areas. According to the selection of multiple predicted drilling coordinates, it is convenient to compare the data detected at multiple position points subsequently, so as to screen out the data with large error items and avoid the situation in the traditional technology that only one position point is selected for rock drilling detection and analysis, and when multiple position points are selected for auxiliary rock drilling detection, the selected position points are only judged based on historical experience, which has great subjectivity, resulting in low accuracy of the final geological detection data and low efficiency of the entire geological exploration work. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] Figure 1 It is a step block diagram of a kind of screen flow motor geological exploration logging method mainly embodied in this embodiment.
[0030] Figure 2 It is a structural block diagram of a kind of screen flow motor geological exploration logging system mainly embodied in this embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0031] The present invention will be further described in detail below with reference to the following embodiments.
[0032] Refer to Figure 1 , a kind of screen flow motor geological exploration logging method, which includes the following steps:
[0033] Step S1, divide the formation section plane obtained by the drilling detection of the target detection area into formation section plane one, formation section plane two, and formation section plane three, and extract the preprocessing depth value according to the concentrated depth longitudinal position of the formation dip angle to be measured belonging to the formation section plane one.
[0034] Step S2, predict the position coordinate line where rock drilling needs to be carried out in other detection areas according to the preprocessing depth value.
[0035] Step S3, predict the first predicted drilling coordinate of rock drilling in other detection areas according to the position coordinate line and the concentrated lateral position of the formation dip angle to be measured belonging to the formation section plane one, and correspondingly predict the second predicted drilling coordinate and the third predicted drilling coordinate belonging to the formation section plane two and the formation section plane three.
[0036] Step S4: Screen out the error data in the differential detection data of the four formation characteristic data obtained from the predicted drilling coordinates 1, predicted drilling coordinates 2, predicted drilling coordinates 3, and the rock drilling detection at the target detection site, so as to comprehensively evaluate and obtain the geological detection result.
[0037] Specifically, the formation section in the geological detection data obtained by initially conducting rock drilling detection on the target detection site is divided into three equal parts, so as to facilitate the statistics of the formation dip angles in formation section 1, formation section 2, and formation section 3 obtained by the division. If the formation dip angle is too large, there will be a large error in many geological data information detected. Therefore, the formation dip angles with large error effects are screened out to predict the position coordinates of the rock drilling detection at other detection sites for the characteristic information belonging to the data error. Moreover, the longitudinal position and transverse position of the concentrated depth of the formation dip angle in formation section 1 are mainly utilized. In order to improve the reliability of data detection, the rock drilling position coordinates of multiple other detection sites are predicted. According to the selection of multiple predicted drilling coordinates, it is convenient to compare the data detected at multiple position points later, so as to screen out the data with large error items and avoid the situation in the traditional technology where only one position point is selected for rock drilling detection and analysis, and when multiple position points are selected for auxiliary rock drilling detection, the selected position points are only judged based on historical experience, which has great subjectivity, resulting in low accuracy of the final geological detection data and low efficiency of the entire geological exploration work.
[0038] Specifically, step S1 includes the following sub-steps:
[0039] Select the target detection site for rock drilling detection to obtain the main measured formation characteristic data, detect the formation dip angle of each layer of the formation drilled at the target detection site, and count the formation dip angles to be measured that are greater than or equal to the preset dip angle threshold.
[0040] Divide the formation section in the main measured formation characteristic data into three equal-section cuts to obtain formation section 1, formation section 2, and formation section 3.
[0041] Specifically, such as the main measured formation characteristic data (including multiple rock characteristic data such as rock structure, rock properties, water content, oil content, porosity, permeability, formation section image information (the dip angle of each formation can be visually obtained: that is, the dip angle formed with the horizontal ground), etc.), the dip angle of the formation to be measured (such as after rock drilling, the rock section image information can be obtained, and the dip angle of each formation can be visually obtained, and the formed dip angle range is between 0° and 90°, and there are two cases where the dip angle direction is upward or downward, which does not affect the subsequent analysis, the preset dip angle threshold: refers to the critical value of the dip angle of the formation that has an obvious error impact on multiple geological detection data, and is obtained by judging and statistically analyzing historical geological detection data. If it is 30°, then extract the dip angle of one or several formations where the dip angle of the formation is greater than or equal to 30°. For example, it is detected that there are 10 formations in the formation, and among them, there are 5 dip angles of the formation to be measured), formation section one, formation section two, and formation section three (such as when rock drilling forms a cylindrical geometric space, the formation section in the main measured formation characteristic data is the lateral surface area region of the cylinder, and the lateral surface area region of the cylinder is divided into three equal area regions, namely formation section one, formation section two, and formation section three).
[0042] Specifically, step S1 further includes the following sub-steps:
[0043] Statistically obtain the concentrated longitudinal position of the concentrated depth of the dip angle of the formation to be measured belonging to formation section one.
[0044] If the concentrated longitudinal position is continuous, then select the maximum depth value from the concentrated longitudinal position to obtain the preprocessed depth value. If the concentrated longitudinal position is discontinuous, then select the maximum depth value and the minimum depth value from the concentrated longitudinal position, and calculate the average value to obtain the preprocessed depth value.
[0045] Specifically, for the concentrated longitudinal position (for example, if the dip angle of the formation to be measured of a formation section is 5 layers, the depth values h of these 5 layers are respectively detected, that is, the concentrated longitudinal position is obtained (that is, the concentrated position point h of the longitudinal vertical line perpendicular to the ground (for example, the z-axis, that is, the concentrated position point on the z-axis is statistically obtained))), the preprocessed depth value (if the dip angle of the formation to be measured of a formation section is 5 layers, and these 5 layers are in a continuously adjacent position relationship, such as the 6th layer, the 7th layer, the 8th layer, the 9th layer, and the 10th layer in sequence, and the corresponding concentrated longitudinal positions are h1, h2, h3, h4, h5 respectively, then the maximum depth value is h5, and h5 is selected as the decision factor for predicting the distance between the position coordinates of other detection locations and the target detection location (because the dip angle change conditions of formations at different depths require different deposition times, that is, the deeper the formation, the longer the deposition time for dip angle change: that is, the difference in the detection results of the dip angle change at short drilling distances in other detection locations is smaller, which is not conducive to subsequent analysis. On the contrary, the shallower the formation, the shorter the deposition time for dip angle change: that is, the difference in the detection results of the dip angle change at short drilling distances in other detection locations is larger, which is conducive to subsequent analysis. Therefore, it is necessary to select the rock drilling positions in other detection locations that are farther away than the selection of rock drilling positions in shallower cases), which is the preprocessed depth value. If these 5 layers are not in a continuously adjacent position relationship, such as the 4th layer, the 6th layer, the 7th layer, the 8th layer, and the 10th layer in sequence, then the minimum depth value is h1 and the maximum depth value is h5. If (h1 + h5) / 2 is H, H is used as the decision factor for predicting the distance between the position coordinates of other detection locations and the target detection location, which is the preprocessed depth value).
[0046] Specifically, step S2 includes the following sub-steps:
[0047] Preset a distance conversion ratio, and predict the distance between other detection locations and the target detection location that need to be detected by rock drilling to obtain a predicted distance value according to the preprocessed depth value and the distance conversion ratio.
[0048] According to formation section 1, a secondary measurement area is divided from the area where rock drilling is performed at the target detection location. According to the predicted distance value, the secondary measurement area is extended to obtain an extended area, and the edge arc in the extended area is extracted as the rock drilling detection route for other detection locations to obtain a position coordinate line.
[0049] Specifically, other detection sites refer to the rock drilling detection sites selected except for the target detection site. The preset distance conversion ratio (if it is R / h), the predicted distance value (taking the preprocessed depth value h5 as an example, that is, h5*(R / h), if it is R1), the auxiliary measurement area (that is, the auxiliary measurement area is divided from the upper surface area of the cylinder according to the edge arc of the formation section 1, and the auxiliary measurement area accounts for 1 / 3 of the upper surface area of the cylinder), the extended area (for example, if the auxiliary measurement area is a fan-shaped area and the radius is r, then the area is extended with a radius of r + R1, that is, the extended area (also a fan-shaped area)) is obtained, and the position coordinate line (that is, if the edge arc of the extended area (fan-shaped area) is L1, the rock drilling detection position points of other detection sites are predicted and selected on the position coordinate line).
[0050] Specifically, step S3 includes the following sub-steps:
[0051] Statistical analysis is carried out on the concentrated lateral position of the dip angle of the formation to be measured belonging to the formation section 1 to obtain the concentrated lateral position. The central position point of the rock drilling detection at the target detection site is obtained, and the central position point and the concentrated lateral position are linearly connected and extended outward to obtain the preprocessing straight line.
[0052] Specifically, for the concentrated lateral position (such as the concentrated position of the dip angle of each layer in the lateral straight line direction parallel to the ground (for example, the x-axis, that is, the concentrated position points on the x-axis are statistically analyzed. If the concentrated lateral positions of the 6th, 7th, 8th, 9th, and 10th layers are x1, x2, x3, x3, and x3 respectively, then the concentrated lateral position is finally selected as x3)), the central position point (such as the center of the circle), and the preprocessing straight line (that is, from the downward viewing angle: the central position point and the concentrated lateral position are two coordinate points in a plane. The two coordinate points of the central position point and the concentrated lateral position are linearly connected and extended to obtain the preprocessing straight line, if it is L2).
[0053] Specifically, step S3 also includes the following sub-steps:
[0054] The intersection point between the preprocessing straight line and the position coordinate line is used as the rock drilling detection position coordinate of the second detection site to obtain the predicted drilling coordinate 1. According to the predicted drilling coordinate 1, the predicted drilling coordinates 2 and 3 belonging to the formation section 2 and the formation section 3 are respectively predicted.
[0055] Specifically, the predicted drilling coordinate 1 (that is, the intersection point of L1 and L2, if it is W1), the predicted drilling coordinates 2 and 3 (the intersection points between the preprocessing straight line and the position coordinate line belonging to the formation section 2 and the formation section 3 are predicted respectively, if they are W2 and W3 respectively, and the explanation is the same as that of the predicted drilling coordinate 1, and no more explanation is given here).
[0056] The specific step S4 includes the following sub-steps:
[0057] Perform rock drilling detection at the predicted drilling coordinates one, two, and three respectively to obtain the auxiliary measured formation feature dataset, and extract the same detection data between the auxiliary measured formation feature dataset and the main measured formation feature data to obtain the reserved detection data one.
[0058] Specifically, for the reserved detection data one (if the detection data items of the main measured formation feature data and the auxiliary measured formation feature dataset are marked as a1, b1, c1, d1, a1, b1, c2, d2, a1, b1, c3, d3, a1, b1, c4, d4 respectively, if the detection data of the a and b items at four of the detection positions are the same, that is, a1, b1 are the reserved detection data one).
[0059] The specific step S4 also includes the following sub-steps:
[0060] According to the reserved detection data one, extract the differential detection data from the main measured formation feature data and the auxiliary measured formation feature dataset, and perform correlation coefficient statistics between each item of the detection data in the reserved detection data at different drilling detection positions and each item of the detection data in the differential detection data to obtain the correlation coefficient set.
[0061] According to the correlation coefficient set, screen out the error data from the differential detection data to obtain the reserved detection data two.
[0062] Perform comprehensive geological evaluation on the reserved detection data one and the reserved detection data two to obtain the geological detection result.
[0063] Specifically, for differential detection data (i.e., c1, d1, c2, d2, c3, d3, c4, d4 are differential detection data), correlation coefficient set (the calculation method of the correlation coefficients between various data in well logging data at different positions is a basic and common technique: by collecting multiple well logging data at different positions, calculating the covariance and standard deviation between various data, and then obtaining the correlation coefficient. The value range of the correlation coefficient is between -1 and 1. The closer the absolute value is to 1, the stronger the linear correlation between two data items; the closer the absolute value is to 0, the weaker the linear correlation), reserved detection data two (here, the correlation coefficients between a1, b1 and the c detection item data are used as an example. If the absolute values of the correlation coefficients between a1, b1 and the c detection item data belonging to one of the detection positions (if it is W2) are the smallest, and the absolute values of the correlation coefficients between a1, b1 and the c detection item data belonging to the other three different detection positions are the same, then the c detection item data belonging to W2 is screened out, and the differential detection data after screening is the reserved detection data two), geological detection result (such as using machine learning: using machine learning algorithms (such as support vector machines, random forests, etc.) to analyze well logging data. These algorithms can automatically learn the complex relationship between well logging parameters and geological features. First, a large amount of well logging data with known geological conditions needs to be trained (i.e., using historical well logging data for model training) to enable the model to learn the mapping relationship from well logging data to geological evaluation results. Then, the new well logging data at different positions (i.e., reserved detection data one and reserved detection data two) are input into the trained model to obtain the corresponding geological evaluation results).
[0064] A screen flow motor geological exploration well logging system, by applying a screen flow motor geological exploration well logging method as described above, includes a feature statistics unit, a coordinate line prediction unit, a coordinate point prediction unit, and a geological comprehensive evaluation unit. Refer to Figure 2 , the formation section obtained by drilling detection at the target detection site is divided into formation section one, formation section two, and formation section three by the feature statistics unit, and the preprocessing depth value is extracted according to the concentrated depth longitudinal position of the formation dip angle of formation section one; the coordinate line prediction unit predicts the position coordinate line where rock drilling needs to be carried out at other detection sites according to the preprocessing depth value; the coordinate point prediction unit predicts the predicted drilling coordinate one for rock drilling at other detection sites according to the position coordinate line and the concentrated lateral position of the formation dip angle of formation section one, and correspondingly predicts the predicted drilling coordinates two and three belonging to formation section two and formation section three; the geological comprehensive evaluation unit screens out the error data in the differential detection data from the four formation feature data obtained by rock drilling detection at the predicted drilling coordinate one, predicted drilling coordinate two, predicted drilling coordinate three, and the target detection site, so as to comprehensively evaluate and obtain the geological detection result.
[0065] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereby. Therefore, all equivalent changes made according to the structure, shape, and principle of the present application shall be covered within the protection scope of the present application.
Claims
1. A method for geological exploration and well detection using a screen current motor, characterized in that: The following steps are involved: Step S1, dividing the stratigraphic section obtained by drilling detection of the target detection into stratigraphic section 1, stratigraphic section 2 and stratigraphic section 3, and extracting the preprocessing depth value according to the concentrated depth longitudinal position of the stratigraphic section 1 to be measured; Step S2, predicting the position coordinate lines of other detection locations where rock drilling is required based on the preprocessed depth value; Step S3, predicting the predicted drilling coordinate 1 of the rock drilling in other detection areas according to the position coordinate line and the concentrated lateral position of the inclination of the stratum to be measured belonging to the stratum section 1, and correspondingly predicting the predicted drilling coordinate 2 and the predicted drilling coordinate 3 belonging to the stratum section 2 and the stratum section 3; Step S4, the predicted drilling coordinates 1, 2, 3 and the four formation characteristic data obtained by the rock drilling detection of the target detection area are subjected to screening out the error data in the difference detection data, so as to obtain the geological detection result through comprehensive evaluation.
2. A method for geological exploration and well detection using a screen current motor according to claim 1, characterized in that: Step S1 includes: Select the target detection site to conduct rock drilling detection to obtain the main stratum characteristic data, detect the stratum inclination angle of each stratum to which the target detection site is drilled, and count the stratum inclination angles to be measured that are greater than or equal to the preset inclination threshold; The stratigraphic section in the main measured stratigraphic characteristic data is divided into three equal sections to obtain stratigraphic section one, stratigraphic section two and stratigraphic section three.
3. A method for geological exploration and well detection using a screen current motor according to claim 2, characterized in that: Step S1 also includes: The concentrated depth longitudinal position of the formation dip angle to be measured belonging to the formation section 1 is statistically analyzed to obtain the concentrated longitudinal position; If the concentrated longitudinal positions are continuous, the maximum depth value is selected from the concentrated longitudinal positions to obtain the preprocessed depth value. If the concentrated longitudinal positions are discontinuous, the maximum depth value and the minimum depth value are selected from the concentrated longitudinal positions and the average value is calculated to obtain the preprocessed depth value.
4. A method for geological exploration and well detection using a screen current motor according to claim 3, characterized in that: Step S2 is specifically: A distance conversion ratio is preset, and the distance between other detection sites requiring rock drilling detection and the target detection site is predicted according to the preprocessed depth value and the distance conversion ratio to obtain a predicted distance value; According to the stratigraphic section one, an auxiliary measurement area is divided out from the rock drilling area of the target detection site. According to the predicted distance value, the auxiliary measurement area is extended to obtain an extended area. The edge arc in the extended area is extracted as the rock drilling detection route of other detection sites to obtain the position coordinate line.
5. A method for geological exploration and well detection using a screen current motor according to claim 4, characterized in that: Step S3 includes: The concentrated lateral position of the inclination of the formation to be measured belonging to the formation section is statistically obtained to obtain the central position point of the target detection site for rock drilling detection, and the central position point and the concentrated lateral position are connected by a straight line and extended outward to obtain a preprocessing straight line.
6. A method for geological exploration and well detection using a screen current motor according to claim 5, characterized in that: Step S3 also includes: The intersection point between the preprocessing straight line and the position coordinate line is used as the rock drilling detection position coordinate of the second detection site to obtain the predicted drilling coordinate one. Based on the predicted drilling coordinate one, the predicted drilling coordinate two and the predicted drilling coordinate three belonging to the stratigraphic section two and the stratigraphic section three are predicted respectively.
7. A method for geological exploration and well detection using a screen current motor according to claim 6, characterized in that: Step S4 includes: Rock drilling detection is performed at the predicted drilling coordinates one, two and three respectively to obtain auxiliary formation feature data sets, and the same detection data between the auxiliary formation feature data sets and the main formation feature data are extracted to obtain reserved detection data one.
8. A method for geological exploration and well detection using a screen current motor according to claim 7, characterized in that: Step S4 also includes: According to the reserved detection data 1, differential detection data are extracted from the main formation feature data and the auxiliary formation feature data set, and correlation coefficients are calculated between each detection data in the reserved detection data of different drilling detection positions and each detection data in the differential detection data to obtain a correlation coefficient set; According to the correlation coefficient set, the difference detection data is screened for error data to obtain reserved detection data 2; A comprehensive geological assessment is conducted on reserved test data one and reserved test data two to obtain the geological test results.
9. A screen current motor geological exploration well detection system, characterized in that: The system is used to implement a screen current motor geological exploration and well detection method according to any one of claims 1 to 8, comprising: The feature statistics unit is used to divide the stratigraphic section obtained by the target detection drilling into stratigraphic section 1, stratigraphic section 2 and stratigraphic section 3, and extract the preprocessing depth value according to the concentrated depth longitudinal position of the stratigraphic section 1 to which the dip of the stratigraphic section to be measured belongs; A coordinate line prediction unit is used to predict the coordinate lines of other detection locations where rock drilling is required based on the preprocessed depth value; A coordinate point prediction unit is used to predict the predicted drilling coordinate 1 of the rock drilling in other detection areas according to the position coordinate line and the concentrated lateral position of the inclination of the stratum to be measured belonging to the stratum section 1, and correspondingly predict the predicted drilling coordinate 2 and the predicted drilling coordinate 3 belonging to the stratum section 2 and the stratum section 3; The geological comprehensive evaluation unit is used to screen out error data in the difference detection data of the four types of stratigraphic characteristic data obtained from the predicted drilling coordinates one, two, three and the target rock drilling detection, so as to obtain the geological detection results through comprehensive evaluation.