25 results about "Stoneley wave" patented technology

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 a fractured reservoir productivity prediction method and device based on seepage capacity point-by-point integration, a medium and equipment. The method comprises the steps that logging data and rock debris logging data of a fractured reservoir are obtained; measuring to obtain mineral components of the full-diameter rock core sample, and analyzing porosity and permeability of the full-diameter rock core; the relative error between the logging porosity and the full-diameter core analysis porosity is smaller than 8%; the relative error between the logging permeability and the full-diameter core analysis permeability is smaller than half order of magnitude; dividing an oil layer, a gas layer, a water layer, a dry layer and a non-reservoir layer of the fractured reservoir; point-by-point integration is conducted on the logging permeability according to the depth of an oil layer or a gas layer, and the relation between the integration result and the oil and gas flow of a test layer section is established; obtaining a crack width lower limit value according to a developed crack, a non-developed pore and a crack width characteristic value of a layer section with the logging permeability of Stoneley wave inversion greater than 0.5 mD; carrying out back calculation to obtain a productivity index; and predicting the productivity of the fractured reservoir.

The invention discloses a tight reservoir stoneley wave hydrocarbon reservoir identification method, a tight reservoir stoneley wave hydrocarbon reservoir identification system and a medium. The tight reservoir stoneley wave hydrocarbon reservoir identification method comprises the following steps: S1, comprehensively dividing a reservoir and a dry layer by utilizing one or more of well logging information, well wall coring, rock debris logging and gas logging; s2, taking the stoneley wave logging curve as a main curve and the transverse wave as an auxiliary curve in the same logging channel, selecting a proper scale, determining the overlapping relationship between the stoneley wave and the transverse wave of the reservoir section and the size of an overlapping region, and calculating the size of the overlapping region, namely a fluid movement index; s3, establishing interpretation standards of an oil-gas layer, an oil-water layer and a dry layer by utilizing the fluid movement index and oil testing and production testing data; and S4, comprehensively identifying an oil-gas layer, an oil-water layer and a dry layer by utilizing the fluid movement index and the interpretation standard in the step S2. The method solves the problem that the tight reservoir resistivity logging cannot effectively identify the hydrocarbon reservoir.

The invention discloses a cement sheath thickness real-time calculation method, device, equipment, medium and product, and relates to the field of geophysical cased well acoustic logging, the method comprises the following steps: carrying out waveform extraction, frequency domain feature extraction and stoneley wave parameter calculation on standard array sound wave data to obtain corresponding processing data; forming a training sample set by taking the processed data as sample data and taking an open hole diameter corresponding to the standard array sound wave data as label data; training by using the training sample set to obtain a hole diameter prediction model; performing waveform extraction, frequency domain feature extraction and stoneley wave parameter calculation on the actually measured array sound wave data acquired in real time to obtain processing data corresponding to the actually measured array sound wave data, and inputting the processing data into the borehole diameter prediction model for prediction to obtain a real-time predicted borehole diameter; and calculating the thickness of the cement sheath in real time by combining the external diameter of the standard According to the invention, real-time prediction of the thickness of the cement sheath based on multi-data driving is realized.

The invention relates to the technical field of well logging, in particular to an underground interval transit time real-time rapid extraction method which comprises the following steps: S1, collecting acoustic waveform data at different stratum depths through an underground interval transit time real-time rapid extraction device; s2, carrying out band-pass filtering processing on the sound wave waveform data; s3, waveform discrete binarization processing is carried out on the filtered waveform data; s4, performing cross-correlation calculation on the waveform data subjected to waveform discrete binarization processing based on wave arrival time and time difference windows to obtain two-dimensional correlation coefficients under different wave arrival time and time difference windows; s5, obtaining one-dimensional correlation coefficients corresponding to different time differences according to the two-dimensional correlation coefficients; and S6, searching the maximum value of the one-dimensional correlation coefficient, and obtaining time difference values corresponding to the longitudinal wave, the transverse wave and the stoneley wave. According to the method, the time complexity of calculation is reduced, the data processing speed is increased, and the requirement that the underground instrument uploads the stratum time difference measurement information in real time can be met.

The application provides a time difference determination method, device and equipment of array acoustic wave and a storage medium. The method detects array acoustic wave through an array acoustic logging device located at a target depth, divides a full frequency band of the array acoustic wave into a frequency band of Stoneley wave and a frequency band of transverse-longitudinal wave according to a frequency demarcation point of the array acoustic wave, determines a Stoneley wave window length according to a first window cycle number of the Stoneley wave and the frequency band of the Stoneley wave, determines a transverse-longitudinal wave window length according to a second window cycle number of the transverse-longitudinal wave and the frequency band of the transverse-longitudinal wave, determines a time window length of a slowness time correlation algorithm based on the Stoneley wave window length and the transverse-longitudinal wave window length, and determines a time difference value of each component wave based on the algorithm and the time window length. The embodiments of the application can determine a corresponding time window length for the target depth, avoid the problems of complexity and inaccuracy of manual setting, and thus improve logging efficiency and logging accuracy.

The invention discloses a quantitative evaluation method and device for the seepage capacity of a fracturing fracture of a low-permeability reservoir. The method comprises the following steps: acquiring a first stoneley wave before fracturing and a second stoneley wave after fracturing; the stoneley wave amplitude before fracturing and the stoneley wave amplitude after fracturing are obtained through calculation, and the position of a fracturing crack is determined; according to the time difference information, the initial stratum permeability and the initial stratum connectivity on the well wall in the pore stratum excited by the stoneley waves in the well at the fracturing crack position, the stoneley wave number of the fractured section of the cased well is obtained through calculation, and therefore a theoretical stoneley wave frequency dispersion curve is obtained; according to the theoretical stoneley wave frequency dispersion curve and stoneley wave frequency spectrum weighting calculation, theoretical stoneley wave time difference is obtained; according to the theoretical stoneley wave time difference and the stoneley wave time difference after fracturing, a joint inversion function is constructed for inversion, and the stratum permeability and the stratum connectivity after fracturing are obtained; and constructing a fracturing seepage factor according to the stratum permeability and the stratum connectivity.

The invention belongs to the technical field of exploration and development of oil and gas reservoirs, and discloses a multi-attribute fusion drilling well trajectory tracking method, which comprises the following steps: firstly, comparing the real drilling depth of a marker bed with the depth of a seismic structure interpretation horizon to determine a well trajectory position, extracting seismic attributes according to the well trajectory position and seismic data, and compressing the seismic attributes by using a principal component analysis method; performing multi-attribute fusion matching on the stoneley wave energy attenuation curve and the compressed seismic attributes to obtain a multi-attribute fusion drilling trajectory; according to the multi-attribute fusion drilling trajectory, judging whether an abrupt geological map exists in the original drilling trajectory or not, and if the abrupt geological map exists, re-determining the position of the drilling target-entering point and designing the drilling trajectory; the invention further discloses a multi-attribute fusion drilling well trajectory tracking device and equipment and a storage medium. The method is suitable for adjusting the drilling track in real time in carbonate stratum oil and gas reservoir exploration and development, the drilling efficiency and the reservoir drilling rate are improved, and oil and gas exploration benefits are improved to the maximum extent.

The present invention relates to the field of logging technology, and particularly to a method for rapidly extracting downhole acoustic time difference in real time, comprising the following steps: S1. Collect acoustic waveform data at different formation depths through a downhole acoustic time difference real-time rapid extraction device; S2. Perform band-pass filtering on the acoustic waveform data; S3. Perform waveform discrete binary processing on the filtered waveform data; S4. Use cross-correlation calculation based on wave arrival time and time difference window for the waveform data after waveform discrete binary processing to obtain two-dimensional correlation coefficients under different wave arrival times and time difference windows; S5. Obtain one-dimensional correlation coefficients corresponding to different time differences according to the two-dimensional correlation coefficients; S6. Search for the maximum value of the one-dimensional correlation coefficient to obtain the time difference values corresponding to the longitudinal wave, transverse wave, and Stoneley wave. The present invention reduces the time complexity of calculation, improves the data processing speed, and can meet the requirement of real-time uploading of formation time difference measurement information by downhole instruments.

The invention provides a time difference determination method, device and equipment for array sound waves and a storage medium, and the method comprises the steps: detecting the array sound waves through an array sound wave logging device located at the underground target depth, and dividing the full frequency band of the array sound waves into the frequency band of stoneley waves and the frequency band of transverse and longitudinal waves according to the frequency demarcation point of the array sound waves; determining the window length of the stoneley wave according to the first window period number of the stoneley wave and the frequency band of the stoneley wave, and determining the window length of the transverse longitudinal wave according to the second window period number of the transverse longitudinal wave and the frequency band of the transverse longitudinal wave; therefore, the time window length of the slowness time correlation algorithm can be determined based on the Stoneley wave window length and the transverse and longitudinal wave window length, and the time difference value of each component wave can be determined based on the algorithm and the time window length. According to the embodiment of the invention, the corresponding time window length can be determined for the target depth, and the problems of complexity and inaccuracy of manual setting are avoided, so that the logging efficiency and the logging precision can be improved.

This application provides a crack identification method, apparatus, device, and medium, relating to the field of crack identification technology. The method includes: processing acquired raw array waveform data to extract direct-to-Stoneley wave signals, obtaining a direct-to-Stoneley wave waveform; performing interference cancellation processing on the direct-to-Stoneley wave waveform to obtain target waveform data; extracting instantaneous amplitude and instantaneous frequency from the target waveform data; improving the signal-to-noise ratio of the instantaneous frequency to obtain an optimized instantaneous frequency; weighting the optimized instantaneous frequency using the instantaneous amplitude to determine a target instantaneous frequency; and performing crack identification based on the target instantaneous frequency to obtain a crack identification result corresponding to the raw array waveform data. This application effectively solves the problem of reduced crack identification accuracy due to interference in existing methods.

This invention belongs to the field of offshore natural gas hydrate reservoir development technology, and relates to a simulation test method for acoustic detection of fractures in hydraulic fracturing of natural gas hydrate reservoirs. This invention processes array full-wavelength logging data from a fracture-wellbore model of a hydrate reservoir to obtain a Stoneley wave signal. Then, through empirical mode decomposition and Hilbert-Huang transform, the cumulative Hilbert energy is constructed. The acoustic attenuation coefficient of the Stoneley wave signal and the reciprocal of the cumulative Hilbert energy are combined as the fracture sensitivity parameter to determine the predicted fracture height. Addressing the unique characteristics of the complex acoustic properties of natural gas hydrate reservoirs, this invention solves the problem of the difficulty in accurately characterizing the acoustic response of fractures in hydrate-bearing fracturing models using acoustic detection methods, providing guidance for the interpretation and detection of hydraulic fracturing fractures in offshore natural gas hydrate reservoirs.

This invention provides a low-frequency monopole acoustic logging transducer, acoustic logging instrument, and system, belonging to the field of geological exploration technology. The low-frequency monopole acoustic logging transducer includes: a circumferential frame and an even number of dipole triplet plates, which are vertically mounted on the circumferential frame in a circumferential array. Each dipole triplet plate includes: a metal substrate, a first piezoelectric material element, and a second piezoelectric material element. The first piezoelectric material element is disposed on the upper surface of the metal substrate, and the second piezoelectric material element is disposed on the lower surface of the metal substrate relative to the upper surface. The even number of dipole triplet plates arranged in a circumferential array allows the overall circumferential monopole logging transducer to expand and contract radially to generate a symmetrical sound field. By using dipole triplet plates to reduce the fundamental frequency of vibration through axial space, a low-frequency acoustic signal is obtained, thereby more accurately acquiring Stoneley wave information from the formation and increasing the detection depth.

The present application belongs to the technical field of development of marine natural gas hydrate reservoirs, and relates to a method for simulating and testing acoustic detection of a fractured crack in a natural gas hydrate reservoir. The present application processes array full-wave train logging data of a hydrate reservoir fractured crack-wellbore model to obtain a Stoneley wave signal, and then performs empirical mode decomposition and Hilbert-Huang transformation to construct cumulative Hilbert energy. The acoustic attenuation coefficient of the Stoneley wave signal and the inverse of the cumulative Hilbert energy are combined as a crack sensitive parameter to determine a predicted crack height. In view of the particularity of the complex acoustic characteristics of a natural gas hydrate reservoir, the present application solves the problem that the acoustic detection method cannot accurately characterize the acoustic response of a crack in a hydrate-containing fractured crack model, and provides guidance for detection and interpretation of a hydraulic fractured crack in a marine natural gas hydrate reservoir.

The invention discloses a lithologic interface stoneley wave reflected wave correction method and device, and the method comprises the steps: building a borehole stratum model based on conventional logging information; performing forward modeling simulation on the borehole stratum model to obtain a simulated stoneley wave waveform; processing the simulated Stoneley wave waveform, and extracting to obtain a simulated reflected wave amplitude curve; processing the actually measured Stoneley wave waveform data, and extracting to obtain an actually measured reflected wave amplitude curve; performing normalization processing on the simulated reflected wave amplitude curve and the actually measured reflected wave amplitude curve, and calculating a change rate correlation coefficient between the curves; on the basis of the change rate correlation coefficient, lithologic interface reflection waves and fracture reflection waves are distinguished, and lithologic interface correction factors are generated; and calculating the actually measured reflected wave amplitude curve to obtain a corrected reflected wave amplitude curve which only reflects the crack reflected wave. The method is used for improving the accuracy of crack recognition and quantitative evaluation.

The invention discloses a buried hill reservoir permeability evaluation method based on a stoneley wave fracture index, and the method comprises the following steps: determining a reservoir type division threshold value based on stoneley wave response and the fracture index; stoneley wave response characteristics, namely arrival time lag, frequency deviation and a reflection coefficient, of array acoustic logging are extracted, crack indexes are calculated through the toneley wave response characteristics, and reservoir types are divided according to the crack indexes; selecting a buried hill reservoir permeability inversion method according to a reservoir type division result; and inverting the total permeability, the fracture permeability and the matrix permeability at each depth point by utilizing stoneley wave response, and calibrating by utilizing data such as well testing permeability or pressure measurement fluidity to obtain a final buried hill reservoir permeability result. The invention provides a new method for knowing the buried hill reservoir type and acquiring the permeability parameter, and plays an important guiding role in research of buried hill reservoir productivity prediction, development scheme formulation, comprehensive adjustment and the like.

This invention relates to a wellbore seismic wave detection method, belonging to the fields of well logging technology and wellbore geophysics technology. It solves the problems of limited detection range in existing well logging technology and limited accuracy in wellbore geophysics technology. The method involves acquiring wellbore seismic wave data along the well depth direction, extracting Stoneley waves and seismic scattered waves from the acquired data, obtaining Stoneley wave profiles after equal-offset gather extraction of the Stoneley waves, and unifying these profiles with the scattered wave profiles plotted using the extracted seismic scattered wave amplitudes, all within the same coordinate system. The corresponding geological state is determined based on the rock mass state displayed by the two profiles for that layer. This method expands the detection range of mature well logging technology and fully utilizes various seismic wave information to identify longitudinal and transverse fractures, resulting in a wellbore seismic wave detection method.

The invention discloses a deep fractured low-porosity sandstone reservoir effectiveness evaluation method and related equipment, and the method comprises the steps: introducing array sound wave data and electric imaging data, and then further determining a stoneley wave attenuation index and a normal stress value; finally, a highly universal semi-quantitative evaluation method for the effectiveness of the fractures of the deep and ultra-deep fractured low-porosity sandstone reservoir is established in combination with a liquid production profile, theoretically, the method is more in line with the characteristics of the deep and ultra-deep fractured low-porosity sandstone reservoir, and the method has reliable theoretical basis, high calculation accuracy, high universality and wide applicability, and is suitable for popularization and application. The problems that an existing crack effectiveness evaluation method is large in operation difficulty and low in solution multiplicity and applicability are solved.

The invention provides a permeability inversion method and device and a storage medium, and belongs to the technical field of seismic exploration. The method comprises the following steps: S1, acquiring a transmission stoneley wave and a reflection stoneley wave; s2, synthesizing the stoneley waves under different well conditions into forward waveforms; and S3, carrying out permeability inversion. According to the method, the simplified Biot-Rosenbaum pore medium model is utilized, the attenuation characteristics of the actual stratum are considered, the permeability of the stratum is obtained through the global optimization method according to the total frequency deviation and time delay generated by stoneley waves in the permeability attenuation stratum relative to the impermeable completely elastic stratum, and the method has the advantages of being efficient, accurate and precise.

The application discloses a cement ring thickness real-time calculation method, device, equipment, medium and product, and relates to the field of geophysical casing well acoustic logging, wherein the method comprises the following steps: waveform extraction, frequency domain feature extraction and Stoneley wave parameter calculation are performed on standard array acoustic wave data to obtain corresponding processing data; the processing data is taken as sample data, and the open hole caliper corresponding to the standard array acoustic wave data is taken as label data to form a training sample set; a caliper prediction model is obtained by training the training sample set; waveform extraction, frequency domain feature extraction and Stoneley wave parameter calculation are performed on real-time acquired measured array acoustic wave data to obtain processing data corresponding to the measured array acoustic wave data, and the processing data is input into the caliper prediction model for prediction to obtain real-time predicted caliper; and the cement ring thickness is calculated in real time in combination with a standard casing outer diameter. The application realizes real-time prediction of the cement ring thickness based on multi-data driving.

The present application relates to the field of petroleum and natural gas geophysical exploration technology, and particularly relates to a wellbore mode reflected wave identification method, a suppression method and a storage medium. The identification method comprises the following steps: drawing an original equal-source interval wave variable density map under a far monopole working mode, and observing whether there is a low-frequency reflected Stoneley wave in a wave field; performing band-pass filtering on array waveforms under the far monopole and orthogonal dipole working modes; drawing equal-source interval wave variable density maps after band-pass filtering under the far monopole and orthogonal dipole working modes respectively, and observing whether there is an upgoing or downgoing reflected wave in the wave field; calculating a slope and apparent velocity of the upgoing or downgoing reflected wave in the equal-source interval wave variable density map; and judging whether the upgoing or downgoing reflected wave is a wellbore mode reflected wave interference wave in a sound wave far detection wave field. The present application can highlight effective reflected waves from a wellbore anomaly body, suppress large-amplitude artifacts in a far detection imaging map, and improve an imaging signal-to-noise ratio.

The application discloses a method for evaluating fracture permeability based on high and low frequency reflection coefficients and attenuation of Stoneley waves, and comprises the following steps: pre-processing array acoustic waveforms; separating CSG data combinations of each depth point to obtain upgoing and downgoing wave CSG combinations; combining the upgoing and downgoing waves into upgoing and downgoing wave COG data respectively; separating the upgoing and downgoing wave COG data to obtain direct waves, upgoing and downgoing reflected waves and residual direct waves; calculating average values of high and low frequency reflection coefficients respectively, calculating the difference between the high and low frequency reflection coefficients and normalizing; after data preprocessing, calculating the high and low frequency attenuations of the CSG of each depth point, calculating the difference between the high and low frequency attenuations and normalizing; multiplying the normalized difference between the reflection coefficients and the difference between the attenuations to define a fracture permeation factor, which is used for evaluating the fracture permeability of a formation. The application can solve the technical problem of detecting permeable structures in a formation.

The application discloses a low-permeability reservoir fracture seepage capacity quantitative evaluation method and device, and the method comprises the following steps: collecting a first Stoneley wave before fracturing and a second Stoneley wave after fracturing; calculating the Stoneley wave amplitude before fracturing and the Stoneley wave amplitude after fracturing to determine the fracture position; according to the time difference information of the borehole Stoneley wave excitation on the well wall in the pore formation, the initial formation permeability and the initial formation connectivity of the fracture position, the Stoneley wave wave number of the casing well fracturing section is calculated, so that the theoretical Stoneley wave dispersion curve is obtained; according to the theoretical Stoneley wave dispersion curve and the Stoneley wave spectrum weighted calculation, the theoretical Stoneley wave time difference is obtained; according to the theoretical Stoneley wave time difference and the Stoneley wave time difference after fracturing, the joint inversion function is constructed to carry out inversion, and the formation permeability and the formation connectivity after fracturing are obtained; and the fracturing seepage factor is constructed according to the formation permeability and the formation connectivity.

The present disclosure relates to systems and methods for predicting membrane stiffness and providing a formation mobility estimation using acoustic Stoneley waves. The systems and methods use machine learning models for predicting membrane stiffness of a reservoir and estimating formation mobility using the predicted membrane stiffness and Stoneley waves. The systems and methods use the predicted membrane stiffness and mobility estimations to provide insights into reservoir properties and drilling conditions.

The application relates to a pile single-hole seismic wave imaging detection method and device, and relates to the field of engineering measurement, which comprises the following steps: S1, after a detection sensor is lowered, a coupling fluid is filled in an acoustic pipe; S2, vertical excitation is applied on a pile top, so that a seismic wave signal is excited in pile concrete; S3, a detection sensor receives a Stoneley wave signal generated by the coupling effect of the seismic wave on the interface of a pile defect and the fluid in the acoustic pipe; S4, a depth-time wave train is generated according to the Stoneley wave signal; and S5, an eight-character feature in the wave train is identified to judge and position the pile defect. The application has the effect of improving detection efficiency.