185 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 relates to a buried hill reservoir permeability evaluation method and system based on Stoneley wave time difference intelligent prediction, processing equipment and a storage medium. The method comprises the following steps: preprocessing core physical property, conventional logging and electric imaging logging data in a target area; array acoustic logging data are processed, and longitudinal wave, transverse wave and stoneley wave time difference of each well in the target area is extracted; establishing an intelligent stoneley wave time difference prediction model, and predicting the stoneley wave time difference of the interval with poor stoneley wave data quality of each well; determining the effective fracture development position and the fracture width of each well; carrying out a crack plate model experiment, and calculating the total permeability of the stratum at the effective crack development position according to the effective crack development position and the crack width of each well; inverting the total permeability of the buried hill reservoir; on the basis of the plunger sample core permeability and the total stratum permeability calculated at the effective fracture development position, permeability inversion results of the effective fracture non-development position and the effective fracture development position of each well are calibrated, and the method can be widely applied to the field of oil and gas exploration and development.

The invention relates to the field of oil and gas field exploration and development, in particular to a fracture-cavity type reservoir mechanical parameter seismic inversion method based on logging ground stress constraint. On the basis of array acoustic logging, the current crustal stress is calculated; inverting different types of seismic attributes based on the pre-stack seismic data; by optimizing the seismic attribute and the threshold value, the geometric shape carving of the fracture-cavity body is realized; based on the fracture-cavity body seismic attribute sensitivity degree, different types of fracture-cavity body seismic recognition standards are established; establishing rock mechanical parameter assignment models of different types of fractured-vuggy bodies through rock mechanical parameter inversion cycle verification; and considering stress constraint to optimize different types of fracture-vug body rock mechanical parameter assignment models, and finally realizing fracture-vug type reservoir three-dimensional rock mechanical parameter inversion. The invention provides a fracture-vug reservoir mechanical parameter seismic inversion method based on logging ground stress constraint. The method has reference value in multiple aspects of fracture-vug reservoir geomechanical modeling, ground stress field numerical simulation, engineering dessert evaluation and the like.

The present application relates to new systems and methods of quantifying hydrocarbon saturation using measured acoustic logs. The methods and systems herein can accurately quantify the water saturation and hydrocarbon percentage in a low resistivity low contrast shaly sand reservoir where previous methods would indicate the reservoir was wet. In an embodiment, the disclosed system utilizes acoustic logging equipment or tools and techniques to transmit and / or record acoustic signals. Acoustic logging equipment operates by generating acoustic signals and detecting the acoustic signals after the acoustic signals pass through one or more geologic formations.

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 quantitative characterization method for micro-crack spatial distribution of a tight oil reservoir based on acoustic remote exploration, and relates to the technical field of tight oil reservoir exploration, and the quantitative characterization method comprises the following steps: acquiring inter-well and in-well original acoustic logging data and fracturing response data, and preprocessing; based on the preprocessed original acoustic logging data, detecting a harmonic component in a reflection signal through a multi-frequency superposition excitation signal, and calculating a harmonic energy ratio of a depth horizon by using a harmonic component result; based on the harmonic energy ratio of the depth horizon, a crack sensitivity index is extracted, and a micro-crack development area is identified; and based on the micro-fracture development area and the processed original acoustic logging data, constructing a fracture network model to obtain spatial distribution information of the micro-fractures. According to the method, on the basis of the preprocessed original acoustic logging data, the harmonic components in the reflected signals are detected through the multi-frequency superposition excitation signals, and high-precision detection of the formation micro-cracks is achieved.

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 plurality of orthogonal pairs of measurements are identified among the measurements. Each of the orthogonal pairs includes a first measurement having a measured angle of a transmitter firing direction that is perpendicular with a measured angle of a transmitter firing direction of a second measurement within a predetermined tolerance. A set of 4C component waveforms is compiled for each of the identified orthogonal pairs and mathematically rotated to align with predefined axes. Selected ones of the rotated waveforms are then stacked in the time domain.

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.

Among other things, techniques are described for generating a velocity model for a subsurface structure using a machine learning model. A method can include generating, using seismic data and sonic log data from a subterranean surface, one or more Time-to-Depth Relationship (TDR) curves; generating, using (i) the seismic data and sonic log data and (ii) the one or more TDR curves, a combined set of seismic data and sonic log data; selecting one or more seismic reflectors; generating, using the one or more seismic reflectors, a velocity model update; generating, using the velocity model update and one or more operations of pre-stack depth migration, a candidate final velocity model; determining the candidate final velocity model satisfies a matching threshold; and in response, providing the final velocity model as output.

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 discloses an earthquake brine reservoir response feature recognition method based on deep learning, which breaks through the technical limitation of weak response of traditional acoustic logging to brine reservoir features by fusing induction logging data and an earthquake inversion result, and improves the accuracy of reservoir recognition. The improved UNET + + network structure effectively integrates multi-scale geologic features by using dense jump connection and a channel attention mechanism, enhances the capture ability of thin-layer brine weak reflection signals, and improves the accuracy of boundary recognition; a bidirectional LSTM and spatial feature alignment technology is introduced, deep fusion of logging vertical features and a seismic transverse section is realized, a horizon matching relation is optimized, and the risk of misjudgment caused by abnormal speed is effectively reduced; based on a depth supervision mechanism and a joint training strategy, a three-dimensional reservoir space distribution model is generated, depiction of a deep pore-fissure type brine reservoir is achieved, exploration efficiency is greatly improved, and reliable technical support is provided for brine resource positioning under complex geological conditions.

The invention discloses a while-drilling azimuth acoustic logging data acquisition method, and belongs to the technical field of while-drilling logging. The invention discloses a while-drilling azimuth acoustic logging data acquisition method. The method comprises the following steps: S1, acquiring natural gamma intensity, formation resistivity, three-axis vibration signals and a tool face angle of a current depth formation; s2, geological events of the current stratum are recognized according to the natural gamma intensity, the stratum resistivity and the three-axis vibration signals, and the geological events comprise a first geological event and a second geological event; s3, a first collection strategy is executed on the first geological event to collect waveform data, a second collection strategy is executed on the second geological event to collect waveform data, the first collection strategy and the second collection strategy both adopt an equal azimuth interval collection scheme, and the azimuth interval of the first collection strategy is larger than that of the second collection strategy; and S4, transmitting the waveform data acquired by the first acquisition strategy to a time difference statistical value, compressing the waveform data acquired by the second acquisition strategy, and preferentially transmitting the waveform data.

A method and system acoustic logging operations. The method may comprise selecting a transmitter to a casing offset for logging operations, wherein the transmitter is disposed on a logging tool, insonifying at least a part of a casing with the transmitter at an angle of incidence and collecting one or more waveforms with an array of receivers disposed on the logging tool. The method may further comprise identifying one or more wave mode travel times from the one or more waveforms, selecting one or more wavelets from the one or more waveforms, and identifying an attenuation of a lamb wave mode based at least in part on the one or more wave mode travel times and the one or more wavelets.

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 present invention discloses a method and system for self - locating micro - seismic events in mines without a priori velocity structure, which realizes the integration of underground velocity structure inversion and seismic source location by jointly using micro - seismic signals and surface - wave interference noise generated during the mining process. It includes: arranging a surface geophone array to collect mixed micro - motion and micro - seismic signals; extracting the surface - wave dispersion curve to invert the S - wave velocity model of the formation, and further constructing a P - wave velocity model when the Poisson's ratio of the formation in the known geological data is available; picking seismic phases after denoising the micro - seismic signals and obtaining the P - wave and S - wave first - arrival times; constructing an objective function with the first - arrival times, seismic source location, earthquake - occurrence time, and velocity model as parameters, and achieving precise location through the optimization of the objective function. The present invention avoids the on - site acoustic logging construction in the early stage of the mine, makes full use of the surface - wave interference noise, improves the utilization rate of monitoring data, and realizes the location of micro - seismic events in mines without a priori velocity structure.

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 utility model discloses a device for hanging and placing a sounding pipe of a plain diaphragm wall, which comprises plain diaphragm wall guide walls, sounding pipe fixing parts are arranged on the outer walls of the plain diaphragm wall guide walls on two sides, a sounding pipe hanging and placing device is fixedly arranged among the plurality of sounding pipe fixing parts, and a sounding pipe is arranged in the sounding pipe hanging and placing device. The utility model aims to provide the device for hoisting the sounding pipe of the plain diaphragm wall, so that the problem of hoisting the sounding pipe of the plain diaphragm wall can be solved, the detection effect of the plain diaphragm wall can be further ensured, and the water leakage risk of the shield tunnel originating and receiving can be reduced.

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 invention provides a residual amplitude compensation method based on well control AVO characteristics. The method comprises the following steps: S1, obtaining a pre-stack CRP gather of residual amplitude compensation; s2, calculating an amplitude attenuation curve of the pre-stack CRP gather; s3, obtaining an amplitude background trend in combination with a forward modeling analysis result of the logging rock physical model; s4, superposing the CRP gathers to obtain a seismic section, inputting acoustic logging and density data, making a well control synthetic record, and optimally matching the well control synthetic record with a well-side seismic trace; s5, calculating a well control model; and S6, calculating a compensation parameter to carry out residual amplitude compensation of the well control AVO characteristics. And in combination with the forward modeling analysis result of the logging rock physical model, the amplitude background trend is obtained through the forward modeling model to perform all-directional residual amplitude compensation, the compensated data amplitude background trend is consistent with the forward modeling model, and the reflection characteristics of fluid abnormality are highlighted.

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.