118 results about "Sonic logging" patented technology

The invention relates to the technical field of geological exploration, and discloses a water-rich sandy stratum tunnel base settlement prediction method and system, and the method comprises the steps: constructing a multi-source cooperative exploration system; deploying a sanding-seepage-stress coupling model at an edge computing node, and mining the relevance of data of different dimensions through a space-time attention fusion network; based on the prediction matrix and mineral exploitation working condition parameters; when the predicted settlement exceeds a safety threshold value or the sanding expansion rate is abnormal, a high-precision remeasurement mechanism is triggered, and a cross-hole radar and acoustic logging combined verification module is activated; and iteratively optimizing coupling model parameters by adopting a transfer learning algorithm through deviation analysis of measured data and a prediction result. According to the method, a scientific basis is provided for stratum stability evaluation and prevention and control measure formulation in the mineral exploitation process, and the probability of engineering risks caused by base settlement of the water-rich sandy stratum is effectively reduced.

The invention relates to the technical field of electric digital data processing, in particular to a dangerous rock instability monitoring and early warning method. The method comprises the following steps: collecting multi-modal original data related to the dangerous rock in real time, and preprocessing the multi-modal original data to obtain multi-dimensional core parameters; lithologic partitioning is carried out on the monitoring area based on the borehole acoustic logging data, and a lithologic partitioning result is obtained; carrying out data association and fusion by adopting a D-S evidence theory based on the lithologic partitioning result and the multi-dimensional core parameters, and generating a comprehensive support degree of each catastrophe state; multi-modal characteristic spectrum mathematical characterization is carried out based on the multi-dimensional core parameters, a precursor mode corresponding to the multi-modal characteristic spectrum subjected to mathematical characterization is identified, and space-time correlation verification is carried out on an identification result; and according to the comprehensive support degree, the identification result and the time-space correlation verification result, outputting a graded early warning instruction of dangerous rock instability. According to the invention, the problems of one-sided consideration, low precision and poor real-time performance of dangerous rock instability early warning in the prior art can be solved.

The invention discloses a method for inverting the velocity of a cementing medium after casing based on ultrasonic Lamb waves, and relates to the field of geophysical logging. According to the method, ultrasonic Lamb wave logging and ultrasonic pulse reflection logging are carried out at all depth points through a post-casing scanning imaging logging instrument, waveform records at all the depth points are obtained, the thickness of a casing in the specified direction at all the depth points and acoustic impedance of a post-casing cementing medium are calculated in an inversion mode, and then the thickness of the casing in the specified direction at all the depth points and the acoustic impedance of the post-casing cementing medium are calculated on the basis of the ultrasonic Lamb wave logging waveform records. For each specified orientation of each depth point, Fourier transform is carried out on the full waveform of the near-bending Lamb wave and the full waveform of the far-bending Lamb wave, the phase difference of the far-bending Lamb wave and the far-bending Lamb wave is calculated, group delay processing is carried out, the working frequency band of the imaging logging instrument is scanned after combination, and the phase difference of the far-bending Lamb wave and the near-bending Lamb wave is calculated; and frequency values corresponding to the minimum values of the group delays at all the directions of all the depth points are obtained, and after a frequency set is obtained, the wave velocity and the medium type of the cementing medium after casing are determined according to the frequency values at all the directions in the frequency set, the frequency number of the minimum values and the acoustic impedance value.

The invention discloses a goaf remaining coal pillar stability comprehensive evaluation method based on InSAR and acoustics fusion, and belongs to the field of mine safety evaluation.The goaf remaining coal pillar stability comprehensive evaluation method comprises the steps that an SAR satellite suitable for a mining area is selected, SAR satellite image data of the mining area is obtained, sequential deformation analysis is conducted, the deformation rate and an accumulated deformation graph of the mining area are obtained, and a settlement abnormal area of the mining area is recognized; a coal pillar area of a mining area is drilled, and an ultrasonic logging device, an inter-well sound wave chromatography system and a sound emission monitor are arranged; performing comprehensive analysis on all the obtained data, and constructing a coal pillar stability evaluation model; and through the coal pillar stability evaluation model, grading the coal pillar stability, and predicting a coal pillar instability risk. According to the InSAR and acoustics fused goaf remaining coal pillar stability comprehensive evaluation method provided by the invention, high-precision evaluation of the coal pillar stability is realized through combination of earth surface deformation monitoring and deep coal pillar structure detection.

The invention relates to the technical field of flow field dynamic simulation, and particularly provides a drainage test data fused underground water flow field dynamic simulation method and system near a fault, and the method comprises the steps: generating a fault three-dimensional water conductivity parameter field according to transient water level response data of a monitoring well in a drainage test; realizing conversion of dynamic data of the exploration method to a fault non-uniform quality model; integrating migration path data of a tracing test, fracture network geometric data of ultrasonic logging and a fault three-dimensional water conductivity parameter field, and constructing a heterogeneous graph structure taking a fault as a core node; establishing association between the multi-modal exploration data and the dynamic representation of the fault structure; and outputting a high-resolution spatio-temporal evolution graph of the flow field parameters of the fault disturbance area in the future period, and realizing dynamic visual closed-loop feedback of the flow field near the fault driven by real-time data of the exploration method. The system comprises a data conversion module, a representation association module and a closed-loop feedback module. According to the invention, a breakthrough from static description to dynamic simulation of the flow field near the fault is realized.

The invention relates to the technical field of oil exploration logging data processing, and discloses a far exploration sound wave migration imaging data three-dimensional well trajectory correction method and related device.The method comprises the steps that horizontal well logging data are collected, coordinates of a well trajectory in space are obtained through calculation according to the horizontal well logging data, and the coordinates of the well trajectory are calculated according to the coordinates; the well track is drawn according to the coordinates of the well track in the space; generating migration imaging data in different directions according to the remote exploration acoustic logging data, and generating a migration imaging picture by using a color code according to the migration imaging data; the migration imaging picture is cut into a plurality of narrow strip pictures in the direction perpendicular to the well axis, all the narrow strip pictures are sequentially drawn into designed grids, migration imaging pictures generated by migration imaging data in different directions are sequentially drawn into a three-dimensional space, and horizontal well three-dimensional well trajectory correction of the migration imaging data is completed. According to the method, the accuracy of depicting the spatial relationship of geological reflectors such as stratum interfaces, faults and cracks near a horizontal well shaft by far-detection sound waves is improved.

The invention discloses a formation pore pressure calculation method, system, equipment and medium, and the method comprises the steps: marking collected lithologic sections and geological stratification, and selecting at least one of collected seismic horizon velocity, density logging, acoustic logging and resistivity logging as sensitive parameters to establish a normal compaction trend line of a middle-shallow normal pressure section; a correction coefficient is adjusted by using the collected pressure measurement data, and finally, a traditional Eaton method formula is improved by using the adjusted correction coefficient, and a new formation pore pressure calculation formula is established; according to the method, the normal compaction trend line is fully utilized, the distortion of the normal compaction stratum is effectively inhibited while the abnormal pressure change is highlighted, the stability is better, the distortion is less, the pressure trend of the overlying stratum does not need to be calculated, parameters are few, the calculation efficiency is high, calculation can be carried out without logging data, the application range is wider, and the method is particularly suitable for low exploration areas without wells and with few wells.

This invention discloses an acoustic logging device and method for eliminating interference from seismic sources, belonging to the field of acoustic logging technology. It includes a cover plate and a logging instrument. A silencing plate and a handle are fixedly connected to the upper side of the cover plate. The surface of the silencing plate is designed with a honeycomb pattern. An elastic pad and a connecting cylinder are fixedly connected to the lower side of the cover plate. A connecting seat is fixedly connected to the lower side of the connecting cylinder. The logging instrument is located below the cover plate. A connecting column is fixedly connected to the upper end of the logging instrument, and the connecting column is inserted into the connecting seat and threadedly connected to it. The cover plate and logging instrument are designed as separate units for easy transportation and carrying. They can be installed independently during use, and the installation process is simple and reliable. By setting the elastic pad and the silencing plate to work together, the controllability of seismic source signal interference elimination is achieved. It is suitable for various measurement environments, effectively reducing the interference of environmental noise on acoustic wave transmission and reception, and improving the measurement accuracy of acoustic logging.

The invention belongs to the technical field of geophysical exploration and oil and gas reservoir evaluation, and particularly relates to a heterogeneous dolomite reservoir fractal rock physical modeling method. The method comprises the following steps: data acquisition and processing: acquiring ultrasonic velocity and attenuation data, and acquiring acoustic logging data and post-stack seismic data of a target layer; constructing a fractal rock physical model; generating a multi-band rock physical drawing board; drawing board correction and reservoir parameter quantitative prediction. The fractal dimension serves as a clear and predictable key parameter to be introduced into the dolomite rock physical model for the first time, the limitation that a traditional model can only predict the pore volume (porosity and fracture content) but cannot describe the pore structure form is broken through, the precision and dimension of reservoir physical property prediction are improved, and the reservoir physical property prediction accuracy is improved. By combining an infinite heavy pore medium model with a fractal theory, the established model can simulate propagation of waves in an actual complex porous medium more truly, spanning from two dimensions to three dimensions is realized, and multiplicity of reservoir prediction is greatly reduced.

A method for classifying a subterranean formation includes rotating an ultrasonic logging tool in a borehole penetrating a formation. The ultrasonic logging tool includes an ultrasonic transducer and an array of spaced apart ultrasonic receivers deployed on a logging tool body. The ultrasonic logging tool measures an azimuthal shear slowness image and an azimuthal compressional slowness image while rotating in the borehole. The images are evaluated to classify the homogeneity / heterogeneity and isotropy / anisotropy of the formation.

This invention relates to a wave impedance inversion method, comprising the following steps: Step 1, collecting post-stack seismic data, sonic logging curves, density logging curves, lithology-representing curves, and reservoir interpretation results within the work area; Step 2, calculating wave impedance curves based on sonic logging and density logging curves; Step 3, assigning values ​​to various types of reservoirs to obtain formation identification codes; and reconstructing the wave impedance curves using the formation identification codes to obtain reconstructed wave impedance curves; Step 4, performing intersection analysis using the lithology-representing curves and the reconstructed wave impedance curves; Step 5, performing wave impedance inversion on the post-stack seismic data using the reconstructed wave impedance curves. This invention can directly identify effective energy storage with high accuracy.

The application discloses a kind of based on deep learning's seismic brine reservoir response feature identification method, by fusing induction logging data and seismic inversion result, break through the technical limitation that brine reservoir feature response is weak to traditional acoustic logging, improve the accuracy of reservoir identification;Improved UNET++ network structure utilizes dense skip connection and channel attention mechanism, effectively integrates multi-scale geological features, enhances the capture ability of thin layer brine weak reflection signal, improves the accuracy of boundary identification;Introduce bidirectional LSTM and spatial feature alignment technology, realize the depth fusion of logging vertical feature and seismic horizontal profile, optimize horizon matching relationship, effectively reduce the risk of misjudgment caused by velocity anomaly;Based on deep supervision mechanism and joint training strategy, generate three-dimensional reservoir spatial distribution model, realize the description of deep pore-fracture type brine reservoir, greatly improve exploration efficiency, provide reliable technical support for brine resource positioning under complex geological conditions.

The application discloses a kind of InSAR and acoustic fusion's goaf left coal pillar stability comprehensive evaluation method, belong to the field of mine safety evaluation, including selecting SAR satellite suitable for mining area, obtaining SAR satellite image data of mining area, then carry out time series deformation analysis, obtain the deformation rate and cumulative deformation diagram of mining area, identify the subsidence abnormal area of mining area;Drilling is carried out in the coal pillar area of mining area, and ultrasonic logging device, interwell acoustic tomography system and acoustic emission monitor are laid out;Comprehensive analysis is carried out to all the data obtained, and a coal pillar stability evaluation model is constructed;Through coal pillar stability evaluation model, the coal pillar stability is classified, and the coal pillar instability risk is predicted.The application provides a kind of InSAR and acoustic fusion's goaf left coal pillar stability comprehensive evaluation method, which realizes high-precision evaluation of coal pillar stability by combining surface deformation monitoring and deep coal pillar structure detection.

This invention relates to the field of well logging data processing technology, and particularly to a method, system, and apparatus for improving the resolution of well logging data in thin sand layers. The method includes the following steps: S1, acquiring well logging data from thin sand layers in the area to be analyzed; S2, performing data preprocessing; S3, using wavelet transform technology for multi-resolution analysis to extract characteristic signals of the thin sand layers and enhance their resolution; S4, using a chart correction method to improve accuracy; S5, evaluating whether the characteristic signals of the thin sand layers processed in step S4 are acceptable. If the evaluation is unacceptable, steps S1-S5 are iteratively performed until the evaluation is acceptable. When the evaluation is acceptable, it indicates that the characteristic signals of the thin sand layers processed in step S4 represent well logging data with improved resolution. This achieves rapid and accurate high-resolution processing of acoustic logging data.

The application relates to the technical field of geological exploration, improves the problem that a probe rod cannot be conveniently and stably detected from the middle part of a drilling well, and discloses a sonic logging instrument which comprises a host computer, a cable and a probe rod, one end of the cable is connected to the probe rod, the other end of the cable is connected to a controller, a supporting mechanism is further connected to the cable, the supporting mechanism comprises an adjusting seat matched with the cable and a plurality of telescopic rods arranged along the circumference of the adjusting seat; the telescopic rod comprises a first rod connected with the adjusting seat and a second rod slidably connected with the first rod along the length direction; the bottom of the probe rod is connected with a counterweight mechanism, and the counterweight mechanism comprises a counterweight movably connected with the probe rod. The supporting mechanism is erected on the well mouth through the telescopic rod, the length of the second rod is adjusted so that the probe rod is located at the position of the middle part of the drilling well for detection, and the operation is convenient and fast; the adjusting seat and the counterweight can reduce the possibility of swinging and twisting of the cable and the probe rod, the counterweight can also make the swinging probe rod quickly return to the original position, and the detection accuracy of the probe rod is improved.

The application discloses a method for predicting natural fracture line density based on interval quantization random function, and provides an effective method for predicting natural fracture line density without the aid of third-party software and with low artificial workload when imaging logging data and core data are less. The method comprises the following steps: obtaining core data, conventional logging data, array sonic logging data and imaging logging data of a drilling well in a target layer system; calculating dynamic rock mechanics parameters of the drilling well according to the array sonic logging data and the conventional logging data; calculating natural fracture line density according to the core data or the imaging logging data; quantitatively studying the sectional correlation between the dynamic rock mechanics parameters and the natural fracture line density; and establishing an interval quantization random function model and predicting the natural fracture line density. The application is free from the limitations of great fitting difficulty and low reliability of parameters and natural fracture line density.

This invention discloses a method and system for measuring the performance indicators of an acoustic logging transducer, belonging to the field of geophysical logging technology. The method derives an admittance circle measurement method using an equivalent lumped system of the transducer; an admittance circle measurement system is constructed based on this method; the electrical parameters of the transducer are measured using this system to obtain the transducer admittance curve and admittance circle diagram; and the transducer's performance indicators are calculated based on these diagrams. This invention provides more accurate measurement results and simplifies the operation of testing the admittance circle and performance indicators of the transducer.

The invention discloses a rapid pile repairing method for a broken pile. The method comprises the following steps that the position and size of a fault of a pile body of a cast-in-place pile are determined through a sound wave transmission method; firstly, a hole with the diameter of about 1500 mm is manually excavated to the position 1-2 m away from the section of the broken pile; then chiseling the upper broken pile, cleaning a hole, and fixing the hole position by using a wood mold; a reinforcement cage is installed in a hole position for fixing the wood pattern, and concrete pouring is conducted; and after hole site core grouting is completed, concrete of the upper pile splicing part is constructed. The method is short in construction period and can be effectively suitable for broken pile treatment of mucky clay, and the strength of the section of the broken pile is higher.

This application discloses a rapid positioning device for sonic logging tubes in pile foundations, comprising a pile hole, a reinforcing cage disposed within the pile hole, the reinforcing cage including a plurality of vertical main bars spaced circumferentially and a plurality of outer stirrups welded to the outside of the vertical main bars at vertical intervals, and further including: a plurality of inner stirrups welded to the inside of the vertical main bars at vertical intervals; a positioning member connected to the inner stirrups to position the sonic logging tube; and a connecting member, one end of which is welded to the inner stirrup, and the other end of which is welded to the positioning member. The inner and outer stirrups work together to form a double constraint, thereby enhancing the overall rigidity and shape stability of the reinforcing cage. The connecting member, as a rigid connecting arm, together with the positioning member, ensures that the sonic logging tube maintains a constant preset distance from the main body of the reinforcing cage in the vertical direction, which is beneficial for the effective transmission of ultrasonic signals and for improving the quality of the final bridge pile body.

This invention relates to a method for constructing a three-dimensional formation velocity model, belonging to the field of three-dimensional seismic interpretation technology. First, this invention utilizes seismic data from the target area and the time-depth relationship of the pilot sections of vertical and horizontal wells to establish a well-seismic fusion three-dimensional velocity model. Then, based on the lithology encountered in the horizontal section, sonic logging curves, and the fitting relationship between sonic logging and lithology, the layer velocity at the horizontal section of the target layer in the target area is determined. This layer velocity is then interpolated and smoothed to obtain a horizontal section layer velocity model. Finally, this horizontal section layer velocity model is used to constrain the well-seismic fusion three-dimensional velocity model, resulting in the corresponding three-dimensional formation velocity model of this invention. This invention utilizes well logging information from the horizontal sections of horizontal wells to constrain and correct the three-dimensional velocity model, which not only improves the accuracy and stability of the lateral variations in the three-dimensional velocity model but also enhances the accuracy of low-amplitude structural interpretation.

The invention relates to the field of oil and gas resource exploration, and discloses a fracturing design method based on shale content three-dimensional geological modeling, which comprises the following steps: determining geological characteristics of a research area, integrating earthquake, logging and core data, analyzing reservoir deposition characteristics and shale content distribution, and combining porosity and permeability to establish a correlation model of a reservoir and shale content; the method comprises the following steps: establishing a shale content three-dimensional geologic model by adopting a sequential Gaussian simulation method by taking well data as hard data and seismic inversion data as soft data through petri l software, constructing a reservoir three-dimensional geologic model according to porosity, permeability and reservoir thickness, and fitting the shale content three-dimensional geologic model and the reservoir three-dimensional geologic model through a variation function to obtain a compressible reservoir model. By combining microseismic monitoring, acoustic logging and a pressure sensor, generation and extension of the crack and reservoir pressure change can be tracked in real time, it is ensured that the crack is effectively extended according to a design path, and a real-time feedback system provides accurate data support in the crack extension process.

The invention relates to the technical field of shale reservoir logging evaluation, in particular to a lamellar fracture development section identification method and device, equipment and a medium, and the method comprises the steps: obtaining dipole transverse wave train data corresponding to each receiver obtained by acoustic logging in a research area, and calculating an amplitude time window; determining transverse wave amplitudes corresponding to all receivers according to the dipole transverse wave train in the amplitude calculation time window; determining a shear wave amplitude attenuation index corresponding to each receiver by taking a compact sandstone section on the shear wave amplitude as a baseline; assigning a corresponding non-shale section in the shear wave amplitude attenuation index as 0; and establishing a lamellar fracture classification standard, performing category division on the shear wave amplitude attenuation index according to the classification standard, and identifying a lamellar fracture development section of the shale section according to a category division result. And quantitative evaluation of the lamellar fracture development condition provides technical support for reservoir geological dessert optimization.

The invention belongs to the technical field of oil and gas geology exploration and development, and discloses a method for identifying diabase by combining logging and seismic attributes. The method comprises the following steps: establishing a logging curve to identify a diabase judgment standard; performing borehole environment correction on the acoustic logging curve, and making a synthetic record; the seismic post-stack data is preprocessed by constructing guiding filtering processing to filter noise interference factors, and a maximum amplitude attribute graph is made by utilizing attribute extraction. The method is simple to operate, rigorous in step and reliable in result. According to the method, the diabase can be quickly and accurately identified through the easily obtained logging data and seismic data, so that the geological understanding of a region can be further deepened, a basis is provided for oil reservoir distribution characteristics, and the next well location deployment and development work can be guided.

Methods and systems for managing operation of a well are disclosed. The method may include obtaining sonic log data for a geological formation in which the well is positioned. An iterative cross-correlation based reflector tracking process may be performed using the sonic log data to obtain a reflector data package. The reflector data package may include a plurality of points on a reflector and a plurality of dip angles of the reflector for the plurality of points. The reflector data package may be used, at least in part, to operate the well.

The invention discloses a coal-bed gas well bottom effect evaluation method and device. The method comprises the steps of obtaining a longitudinal and transverse wave velocity curve according to acoustic logging data of a to-be-evaluated well in a coal bed gas reservoir, obtaining a first brittleness index curve through a brittleness index prediction model, obtaining a second brittleness index curve based on a mineral content curve of the well, and obtaining a third brittleness index curve through integration; according to the density and mineral content data of a plurality of samples in the reservoir, constructing a reservoir anisotropic rock physical model, performing simulated mining through the model in combination with the third brittleness index curve to obtain a fourth brittleness index curve and a dynamic elastic modulus curve, and constructing a compressive strength curve in combination with the shale content curve; and performing well bottom effect evaluation on the to-be-evaluated well according to the third brittleness index curve, the fourth brittleness index curve and the compressive strength curve. According to the method, a brittleness index curve is constructed through multiple ways, and a compressive strength curve obtained through mining simulation is combined, so that reasonable evaluation of the coal-bed gas well bottom effect is achieved.

This invention relates to the field of oil and gas field exploration and development, and discloses a logging identification method, system, equipment, and medium for hydrogen-rich reservoirs in clastic rocks. The method includes: identifying oil and gas reservoirs in clastic rock reservoirs based on differences in the conductivity of fluids within the reservoirs; identifying gas reservoirs in clastic rock reservoirs based on differences in the influence of oil and gas on the formation's elastic modulus; and identifying hydrogen-rich reservoirs based on differences in gas density within the gas reservoirs combined with differences in the gas's occurrence environment. The technical solution of this invention comprehensively utilizes logging methods such as shallow and deep resistivity logging, density logging, neutron logging, sonic logging, and natural gamma ray spectroscopy logging to identify hydrogen-rich reservoirs in clastic rock reservoirs, thereby improving the effectiveness and accuracy of hydrogen-rich reservoir identification.

The utility model discloses a sounding pipe structure with a protection structure, which relates to the technical field of sounding pipes, and comprises a pipe body, a protection end cover is sleeved on the pipe body, a second clamp is clamped outside the protection end cover, a second clamp is sleeved outside the pipe body, and the second clamp is clamped outside the protection end cover. And an elastic buffer piece is arranged between the second clamp and the first clamp. According to the sounding pipe structure with the protection structure, the elastic buffering piece is arranged between the second clamp and the first clamp on the sounding pipe, buffering can be conducted through the elastic buffering piece when the sounding pipe is impacted, and then the sounding pipe can be protected.

A method for acoustic logging a wellbore includes making a plurality of directional sonic logging measurements while rotating an acoustic logging tool in a wellbore. A noise component of each of the measurements is compared with a threshold. Measurements for which the noise component is greater than the threshold are discarded. Measurements for which the noise component is less than the threshold are retained.

The invention discloses a complex stratum exploration method and device based on geological radar and drilling data fusion, and relates to the technical field of geological exploration, and the method comprises the steps: collecting geological radar waveform data and acoustic logging data, obtaining the prior geological information of a work area, carrying out the uncertainty quantification processing, and generating posterior probability distribution; performing Bayesian inversion on the posterior probability distribution and the prior geological information to generate posterior statistics, and generating an interpretation confidence cloud picture based on the posterior statistics; and constructing a spatial uncertainty weighting matrix by using the interpretation confidence cloud atlas, fusing the anisotropy parameters at the drill hole and the anisotropy characteristics of the geological radar data, establishing anisotropy constraint terms of the geological radar data, and generating an anisotropy full-waveform inversion target function. According to the method, fusion of different types of data and quantification of space-time uncertainty are realized, and the underground structure prediction precision and the model reliability are improved.

This invention discloses an integrated logging-while-drilling (LOD) and measurement drill string assembly, relating to the field of oil and gas drilling engineering technology. It provides a series connection scheme for core protective drill string components, offering two switchable configurations: one with a mud motor and one without. Both configurations consist of an azimuth density neutron logging sub, a bidirectional communication power supply sub, an acoustic logging sub, a resistivity logging sub, an upper connecting sub, a flexible sub, a lower connecting sub, an azimuth gamma logging sub, and a steering actuator connected in series according to a fixed logic. The configuration with a mud motor only requires adding a mud motor at a designated location to complete the structural switch, without changing the series connection of the remaining subs. This assembly scheme is applicable to various drilling scenarios such as offshore exploration and development, deepwater drilling, complex directional wells, highly deviated wells, and horizontal wells. It enables integrated operations of geological steering, formation evaluation, and wellbore stability analysis during drilling, effectively improving drilling efficiency and reducing operational risks.