297 results about "Seismic inversion" patented technology

The invention relates to the field of shale oil and gas, and discloses a method for identifying a shale oil and gas reservoir dessert, which comprises the following steps: acquiring a core CT image, three-dimensional seismic data and production dynamic data, and carrying out cross-scale preprocessing; constructing a fractional-order non-local seepage field model to represent nano-to-kilometer-level flow characteristics; predicting seepage field parameters through a Lie group symmetry constrained neural network; establishing a cross-scale coupling model of the quantum adsorption effect and the macroscopic seepage law; dynamically updating model parameters based on real-time monitoring data; and executing multi-target collaborative optimization to generate a sweet spot three-dimensional distribution and development scheme. According to the method, a fractal dimension dynamic constraint cross-scale data fusion technology is adopted, the effect of accurate mapping of nanopore and macroscopic fracture network parameters is achieved, and the problem of misalignment of CT scanning and seismic inversion data space registration is solved through pore communication fractal analysis.

The invention relates to the technical field of unconventional oil-gas exploration, and discloses a well-seismic integrated horizontal well geosteering risk evaluation method, which comprises the following steps: S1, acquiring three-dimensional seismic data, measurement while drilling data and geological logging data through a well-seismic integrated data acquisition platform; s2, constructing a horizontal well geosteering dynamic model based on multi-source heterogeneous data, and integrating a seismic inversion result and real-time drilling parameters; by establishing a well-seismic data dynamic fusion mechanism and a multi-source risk quantification model, the problem of space-time dislocation of seismic inversion and measurement-while-drilling data is solved, the recognition precision of a fault boundary, a lithologic interface and a pressure abnormal zone is ensured to be matched with drilling position changes in real time, risk misjudgment caused by model updating lag in a traditional method is eliminated, and the accuracy of the method is improved. The accuracy and timeliness of geosteering decision making of the complex structure area are improved; by monitoring well track deviation and geological model prediction deviation in real time, the risks of well wall instability and target deviation are avoided, and the operation safety of the horizontal well in the full life cycle is guaranteed.

The present disclosure discloses a seismic inversion method based on joint constraint of a physical model and priori information. The method includes: extracting seismic wavelets based on seismic data, and determining an amplitude scaling factor of the wavelets; counting priori information of impedance parameters; establishing an initial impedance parameter model by using seismic structural interpretation information and logging data; obtaining a simplified approximate equation based on an interface weak elasticity difference hypothesis, forward modeling a seismic gather by using the simplified equation, and calculating an inversion residual; rewriting an objective function into a function related to the impedance parameters by using a generalized linear inversion idea, solving the impedance parameters by using an iterative reweighted least squares algorithm, and updating the impedance parameters; and repeating the above steps until the inversion residual reaches the requirements or reaches the maximum number of iterations, and outputting a final processing result.

The invention relates to a depth domain time-lapse seismic joint inversion method and device, equipment and a storage medium, and the method comprises the steps: extracting depth domain seismic wavelets according to obtained logging data, and building a depth domain seismic wavelet matrix; based on the depth domain seismic wavelet matrix, well-seismic calibration is carried out on the basic logging data and the monitoring logging data; solving a difference between the corrected basic logging data and the corrected monitoring logging data, determining differential logging data, performing full-band interpolation according to the differential logging data and the corrected basic logging data to construct an initial model, and obtaining a low-frequency model according to the initial model; establishing a time-lapse seismic simultaneous inversion objective function based on the forward operator of the time-lapse seismic simultaneous inversion; and substituting the low-frequency model into the target function for iterative solution, and outputting a time-lapse seismic inversion result meeting an iteration ending condition, thereby overcoming the limitation of the existing time-lapse seismic method while reducing the workload of time-domain time-lapse seismic inversion processing.

The invention provides a deep coalbed methane reservoir double-pore structure parameter prediction method and device, relates to the technical field of coalbed methane reservoir development, and solves the technical problem of low precision of a prediction result of pores of a deep coalbed methane reservoir. The method comprises the steps that based on the initial organic matter content, the clay content and the brittle mineral content, an equivalent medium theoretical model is used for establishing a coal bed gas reservoir double-pore coal rock physical model; calculating matrix porosity, fracture porosity and fracture aspect ratio according to logging observation longitudinal wave and transverse wave velocities in the logging data, and taking well-side matrix porosity, fracture porosity and fracture aspect ratio as pore parameter prior information of the coal bed gas reservoir double-pore coal rock physical model; and based on the specified three-dimensional seismic horizon data and the pore parameter prior information, pre-stack seismic inversion is carried out by using a pre-stack Bayesian inversion method through the coal bed gas reservoir double-pore coal rock physical model, and a coal bed gas reservoir double-pore reservoir prediction result is obtained.

The invention is suitable for the technical field of volcanic rock reservoir gas saturation and permeability prediction, and provides a volcanic rock reservoir gas saturation and permeability seismic inversion method and system, and the method comprises the following steps: collecting data, and building a rock physical model of a volcanic rock reservoir; establishing a rock physical parameter in-well inversion method, and calculating a permeability indication parameter # imgabs0 # and a micro-fracture porosity parameter # imgabs1 #; based on the parameters # imgabs2 # and # imgabs3 #, constructing a gas-bearing seismic indication factor # imgabs4 # and a permeability seismic indication factor # imgabs5 # in combination with logging data; the quantitative relation between the # imgabs6 # and the gas saturation # imgabs7 # and the quantitative relation between the # imgabs8 # and the permeability # imgabs9 # are established through measured data in the well; in combination with rock physics and seismic reflection theories, a PP wave reflection coefficient formula about # imgabs10 # and # imgabs11 # is constructed; the pre-stack seismic inversion method suitable for the volcanic rock reservoir is developed, seismic indication factors # imgabs12 # and # imgabs13 # are calculated, and the seismic indication factors # imgabs14 # and the seismic indication factors # imgabs13 # are quantified into gas saturation # imgabs14 # and permeability # imgabs15 #. According to the method, the quantitative prediction of the spatial distribution of the volcanic rock reservoir gas saturation and permeability is realized.

An approach for calibrating prestack seismic inversion is provided. This method includes selecting various features from inverted elastic properties to generate reservoir properties; fully connected neural network models are used to learn the mapping between the features and ground truth data at well locations; and the prediction is applied to generate one or more final models for the reservoir characterization of the whole survey region.

The invention provides a deep coal seam fracture density azimuth seismic inversion method and device, and relates to the technical field of seismic exploration, and the method comprises the steps: obtaining pre-stack seismic trace set data and logging data of a research work area; constructing an elastic stiffness matrix of which each stratum is a VTI medium based on the logging data; processing the porosity of the coalbed methane reservoir in the logging data and an elastic stiffness matrix of the coalbed methane reservoir as a VTI medium according to a linear slip theory to obtain an elastic stiffness matrix of the coalbed methane reservoir as an orthotropic medium so as to determine an initial model parameter vector; combining a reflection coefficient approximation formula based on pre-stack seismic trace set data and orthoanisotropy to construct an objective function used for inverting model parameters; solving the target function to obtain a target model parameter vector of the research work area; and the target model parameters of the coal bed gas reservoir are processed by using the target prediction model to obtain the fracture density of the coal bed gas reservoir, so that an effective technical means is provided for inversion of the fracture density of the deep coal bed.

The invention is suitable for the technical field of oil and gas resource exploration, and provides a tight sandstone gas reservoir microfracture prediction method based on elastic modulus frequency dispersion inversion. According to the method, a rock physical model is constructed based on an equivalent embedded body stress averaging theory, frequency dispersion attributes are defined through elasticity modulus differences in a non-relaxed state and a relaxed state, and a microfracture parameter influence mechanism is disclosed; inversion is driven by a non-relaxed state model, the calculated elastic modulus frequency dispersion attribute and the microfracture density are in significant positive correlation, the quantitative correlation of the two is verified through measured data, and the inversion precision of the microfracture characteristics in the well is improved; an L-BFGS algorithm is introduced to carry out seismic inversion, frequency dispersion attribute quantitative prediction of pre-stack seismic data is realized, physical consistency between logging and seismic data is ensured, traditional limitation is broken through, a micro-fracture development area of a gas production well target layer is successfully identified in practical application, and the method has a good application prospect. And an effective solution is provided for high-precision prediction of the regional scale of the compact sandstone gas reservoir microcracks.

The invention discloses a stochastic finite fault source model establishment method, which comprises the following steps of S1, determining a geometrical shape of a seismic fault based on regional geological data and seismic monitoring data, and estimating a non-planar fault parameter and a fault plane average sliding amount in combination with historical data and an empirical formula; s2, estimating distribution and sliding strength of concave-convex bodies and obstacles on the fault surface according to historical seismic inversion data, and obtaining the sliding amount of each sub-fault by randomly disturbing the average sliding amount; s3, the discrete fault plane serves as a sub-fault unit, and after an initial fracture point and the average fracture speed are determined, random fracture initial time conforming to normal or power law distribution is generated based on a random number method; s4, calculating the seismic oscillation time history of each sub-fault by adopting a random point source method, superposing contributions, introducing the influence of a shallow velocity structure V30, and generating a three-dimensional seismic oscillation field; and S5, comparing actual strong earthquake record adjustment parameters, and outputting a multi-risk-level earthquake motion parameter evaluation result after iterative optimization. According to the method, by fusing randomness and empirical data, the simulation precision of the seismic source model on the uncertainty of the seismic process is improved, the influence of the potential maximum-magnitude earthquake possibly occurring in the active fault zone in the future can be effectively estimated, the seismic oscillation simulation precision and the calculation efficiency can be improved, and the method is suitable for engineering structure aseismic design and seismic disaster evaluation.

The embodiment of the invention provides a full waveform inversion method based on surface wave dispersion inversion driving, a control device and a storage medium, and belongs to the technical field of seismic inversion. The full-waveform inversion method comprises the following steps: acquiring a Rayleigh surface wave observation signal through a preset detection point according to a three-station interference method; according to one-dimensional surface wave frequency dispersion inversion, through the obtained Rayleigh surface wave observation signal, obtaining a corresponding one-dimensional shear wave velocity representing a central area of the detection point pair; constructing a corresponding three-dimensional velocity model based on the one-dimensional shear wave velocity body; and performing full-waveform inversion on the three-dimensional velocity model to obtain a full-waveform inversion result of the region. According to the embodiment of the invention, aiming at passive source seismic signals, based on a three-station interference method, the high-signal-to-noise-ratio Rayleigh surface wave signals among the one-dimensional linear stations are extracted and enhanced, the surface wave signals are used as the input of the whole inversion process, the inversion result is not influenced by background noise quality, and the precision is higher.

The invention relates to the technical field of seismic inversion, and particularly discloses a variational reasoning full-waveform inversion method and device based on geological prior information, and the method comprises the steps: constructing a plurality of filters; acting the plurality of filters obtained by construction on a seismic migration section to calculate a correlation coefficient matrix; according to a logging information fitting theory variation function, performing low-rank approximation on the calculated correlation coefficient matrix to obtain a correlation coefficient matrix after low-rank approximation; randomly generating a plurality of speed samples based on the correlation coefficient matrix after low-rank approximation; calculating the gradient of the objective function according to the plurality of speed samples; according to the gradient of the objective function, calculating the gradient of posteriori distribution by using a Bayesian formula; and based on the gradient of the full waveform inversion posteriori distribution, utilizing a Stein variational gradient descent algorithm to carry out multiple times of iterative updating on the plurality of speed samples, and outputting a target speed model obtained by inversion of the plurality of speed samples. According to the scheme, the multiplicity of inversion is reduced, and the inversion efficiency is improved.

The invention provides a crack pore medium multi-domain seismic inversion method and device, and relates to the technical field of geological prospecting, and the method employs a reflection coefficient calculation mode based on an accurate Graebner equation, and employs a Cauchy prior constraint to combine a target function constructed by a time domain and a frequency domain. The method realizes simultaneous inversion of three parameter profiles of porosity, crack weakness and water saturation, an accurate Graebner equation can accurately describe reflection coefficient characteristics of a crack medium, time domain inversion can enhance noise immunity, and frequency domain inversion can improve resolution, so that the accuracy, the noise immunity and the resolution of an inversion result are considered, and the method is suitable for large-scale popularization and application. And high-precision and high-resolution estimation of the porosity, the crack weakness and the water saturation is realized.

The invention discloses a seismic reflection coefficient determination method and apparatus, and an electronic device. The method comprises the following steps: constructing a constraint relationship between seismic wavelets and L1 norms according to a convolution model of a target detection area; acquiring three-dimensional stratigraphic dip angle data of a target layer in the target monitoring area; according to the three-dimensional stratigraphic dip angle data and the constraint relation, the seismic reflection coefficient of the target stratum is determined. According to the technical scheme provided by the embodiment of the invention, the constraint relationship between the seismic wavelet and the L1 norm is constructed according to the convolution model of the target detection area, the three-dimensional stratigraphic dip angle data of the target stratum in the target monitoring area is acquired, and the seismic reflection coefficient of the target stratum is determined according to the three-dimensional stratigraphic dip angle data and the constraint relationship. Therefore, the seismic reflection coefficient is accurately determined, the fidelity of seismic data is ensured, the high-resolution result is finer, and a high-quality data basis is provided for reservoir prediction and seismic inversion.

The invention discloses a construction-constrained depth-domain multi-channel collaborative seismic inversion method and system, and the method comprises the steps: firstly constructing a depth-domain wavelet matrix, generating a synthetic record consistent with an actual seismic feature in combination with an impedance model, and constructing a pre-training data set; gaussian noise is superposed on the synthetic data, and layer dislocation is simulated; then, a plane wave decomposition method is adopted to extract construction inclination angle information from the enhanced data, and a transverse space constraint relation is established; embedding and constructing an inclination angle constraint term in the space-time neural network, and training a multi-channel collaborative inversion model through synthetic data; extracting inclination angle data of a real seismic record, fusing logging and horizon interpretation results, and establishing a depth domain low-frequency initial impedance model; and finally, actually measured seismic data, construction constraint information, an initial model and well data are combined, network parameters are adjusted through transfer learning, and finally high-precision and high-stability impedance inversion is achieved. The problems of insufficient result stability, low resolution, error accumulation effect and the like in the existing seismic inversion method are solved.

The invention relates to the technical field of seismic exploration, and provides a five-dimensional seismic data prediction method and device. The method comprises the following steps: carrying out inclination angle imaging enhancement processing on five-dimensional seismic data; carrying out azimuth time window analysis based on the inclination angle imaging data, and calculating coherent attributes; carrying out gradient mode attributes on the basis of coherent attributes, and carrying out orientation attribute fusion; five-dimensional phase control step-by-step inversion is carried out under fusion attribute constraint; and predicting an oil and gas reservoir of the fractured volcanic rock based on an inversion result. According to the method, the fractured oil and gas reservoir is predicted based on the five-dimensional seismic data, interrelation between adjacent seismic traces is considered, and underground medium parameters are accurately obtained in combination with seismic sensitive attributes and a multi-trace inversion method, so that the problems that single attribute prediction is high in multiplicity of solutions and space description of a fracture system is not comprehensive enough are solved, and the prediction accuracy of the fractured oil and gas reservoir is improved. And meanwhile, the seismic inversion stability and continuity are improved, and high-precision fractured reservoir prediction is realized.

The invention relates to the technical field of oil and gas geophysical exploration, in particular to a high-resolution seismic inversion recognition method for a thin and small reservoir of an oil reservoir. The method comprises the following steps: performing digital core model construction on a thin and small reservoir core sample to obtain a three-dimensional digital core model; carrying out multi-mineral component quantitative analysis on the thin and small reservoir core sample to obtain mineral components and distribution data; performing fracture geometric analysis on the three-dimensional digital core model to obtain fracture geometric analysis data; constructing a microscopic rock physical model according to the fracture geometric analysis data and the mineral composition and distribution data, and calculating physical model parameters to obtain microscopic rock physical parameters; and calculating matrix pore elastic parameters according to the microscopic rock physical parameters to obtain pore-containing dry rock elastic parameters. According to the method, the problems that a traditional method is low in resolution and influences of reservoir fluid and fractures are ignored are effectively solved, and high-precision recognition and fine description of the thin and small reservoir are achieved.

Systems and methods are disclosed. The method includes obtaining a seismic dataset for a subterranean region of interest and determining an inverted value of a stratum parameter by applying seismic inversion to the seismic dataset. The method further includes obtaining a well dataset within the subterranean region of interest and determining a standard deviation of the stratum parameter using the well dataset. The method still further includes iteratively or recursively defining a geological boundary condition for the subterranean region of interest, determining a stratigraphic model by applying forward stratigraphic modeling using the geological boundary condition, determining a measured value of the stratum parameter by applying a rock physics model to the stratigraphic model, and calculating the misfit value using the inverted value, the standard deviation, and the measured value until a misfit value is below a tolerance value. The stratigraphic model is then selected as a calibrated stratigraphic model.

According to the method, a deep learning network model and a seismic inversion result are introduced into three-dimensional pore pressure, elastic parameter data such as logging density, longitudinal and transverse wave velocity and the like and three-dimensional elastic attribute data obtained through seismic inversion are collected as a data set, and the network model is optimized and trained by using an optimization algorithm; the trained model is applied to a test area, a three-dimensional pore pressure prediction result is calculated and output, more comprehensive geologic feature attributes are provided by using multi-source data such as logging and earthquakes, deep features can be learned from the multi-source data, and pore pressure prediction can be better carried out.

The invention provides a seismic high-resolution inversion method and device. The method comprises the following steps: acquiring angle domain pre-stack seismic trace gather data, seismic horizon data, seismic wavelet data, initial low-frequency longitudinal wave impedance, initial low-frequency transverse wave impedance and initial low-frequency density; obtaining a reflection coefficient according to the angle domain pre-stack seismic trace set data, the seismic horizon data, the seismic wavelet data and a Fatti longitudinal wave reflection coefficient equation; establishing an inversion objective function according to the initial low-frequency longitudinal wave impedance, the initial low-frequency transverse wave impedance, the initial low-frequency density and the reflection coefficient, and obtaining an inversion equation through the inversion objective function; presetting an inversion iteration frequency and an inversion error, and carrying out iterative solution on the inversion equation to obtain intermediate-frequency longitudinal wave impedance, intermediate-frequency transverse wave impedance and intermediate-frequency density; and processing the intermediate-frequency longitudinal wave impedance, the intermediate-frequency transverse wave impedance and the intermediate-frequency density by using a preset first formula to obtain final high-resolution longitudinal wave impedance, transverse wave impedance and density. According to the invention, the precision and resolution of seismic inversion can be effectively improved.

The invention provides a pre-stack seismic inversion method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining multiple pre-stack seismic angle stack data, target layer position interpretation data and logging data; synthetic record calibration is carried out to obtain synthetic record calibration data and seismic wavelets corresponding to each piece of pre-stack seismic angle superposition data, and a seismic wavelet matrix is constructed; based on the seismic wavelet matrix, calculating to obtain a time domain positive operator; based on the frequency spectrum of each seismic wavelet, calculating to obtain a frequency domain positive operator; according to the pre-stack seismic angle superposition data, correlation parameters are obtained through calculation; and constructing a target function, and determining a pre-stack seismic inversion result at least according to the correlation parameters, the time domain forward operator, the frequency domain forward operator, the pre-stack seismic angle superposition data and the target layer position interpretation data. Based on the technical scheme of the invention, the longitudinal resolution and the transverse resolution of the elastic parameter inversion can be improved.

The invention belongs to the technical field of oil and gas geophysical exploration, and discloses a horizontal well constrained seismic inversion method and system, and the method comprises the steps: intercepting a logging curve of a horizontal section; channel spacing resampling is carried out on the intercepted horizontal section logging curve; numbering sampling points of the resampled logging curve, and constructing a horizontal section data set; constructing a target inversion function based on the horizontal segment data set; and substituting the post-stack seismic data set into the target inversion function, and performing inversion to obtain a wave impedance prediction value corresponding to each channel of seismic data. According to the inversion method, the characteristic that the horizontal well crosses a seismic channel is considered, a horizontal well transverse constraint multi-channel target inversion equation is constructed, the horizontal well transverse change constraint seismic transverse inversion is utilized, the horizontal well constraint seismic inversion method and device are researched and developed, a high-precision and high-resolution wave impedance inversion result is obtained, and the method and the device are suitable for large-scale popularization and application. And powerful technical support is provided for comprehensive evaluation of oil and gas fields and well location deployment.

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 invention relates to the field of oil and gas geophysical exploration, and particularly discloses a reservoir physical property parameter seismic inversion evaluation method and device, and the method comprises the steps: building a rock physical model based on the geological features of a work area reservoir; based on the rock physical model, sequentially carrying out inversion test on seismic traces beside a modeling well, a non-modeling well and all wells in a work area to determine parameters of the rock physical model and an inversion algorithm; utilizing the rock physical model and an inversion algorithm to perform seismic inversion on the physical property parameters of the work area reservoir to obtain an inversion result; and extracting a work area well connection profile and reservoir section plane attributes from the inversion result, and then performing analysis. According to the reservoir physical property parameter seismic inversion evaluation method, on the basis of problems needing to be noticed in the reservoir physical property parameter seismic inversion process of the rock physical model and the quality control mode, the trial and error processes in the technical inversion process can be reduced, the working efficiency of reservoir physical property inversion is improved, and the technical practicability is improved.

The invention discloses a marine hydrocarbon source rock thickness plane distribution prediction method, device and equipment and a medium. The method comprises the following steps: acquiring a marine facies hydrocarbon source rock core of a to-be-researched area, and determining a logging curve corresponding to the marine facies hydrocarbon source rock core and a development interval range of the marine facies hydrocarbon source rock; and on the basis of the logging curve and the development interval of the marine hydrocarbon source rock, constructing a marine hydrocarbon source rock logging identification quantity version. And carrying out seismic inversion based on the marine facies hydrocarbon source rock logging identification quantity version to obtain a two-dimensional inversion seismic section, and determining the hydrocarbon source rock thickness of the marine facies hydrocarbon source rock based on the two-dimensional inversion seismic section. And through seismic horizon calibration, according to the hydrocarbon source rock thickness, determining predicted marine facies hydrocarbon source rock thickness plane distribution corresponding to the marine facies hydrocarbon source rock in the to-be-researched area, thereby making up the limitation of marine facies hydrocarbon source rock distribution prediction by singly using seismic data, and improving the accuracy of hydrocarbon source rock plane distribution prediction at the same time.

The invention relates to the field of geophysical pre-stack seismic inversion, and provides a compact sandstone reservoir physical property parameter inversion method and system. The compact sandstone reservoir physical property parameter inversion method comprises the steps that a rock physical model considering the rock consolidation degree and the pore structure is established, and consolidation parameters and pore structure parameters are calculated by combining logging data with the rock physical model; fitting the consolidation parameters and the pore structure parameters with the porosity and the shale content in the logging data to obtain a fitting relational expression; the rock physical model is substituted into an Aki-Richard reflection coefficient equation, and an objective function is constructed under a Bayesian framework; and under the constraint of the fitting relational expression, optimizing the target function by adopting a method of alternately updating the reservoir physical property parameters, the consolidation parameters and the pore structure parameters to obtain the reservoir physical property parameters. According to the invention, accurate prediction of the reservoir can be realized.

A method for determining a seismic inversion volume of a subsurface. The method includes obtaining seismic data of subsurface that includes multiple wells, generating an inverted seismic volume based on the seismic data, and obtaining wellbore measurement data from multiple wells in the subsurface. The method further includes determining residual values representing a difference between values of the wellbore measurement data and the inverted seismic volume data at each of the wellbore sites, generating residual volume data by transforming the residual values, the transforming comprising an interpolation of the residual values between each of the wellbore sites using an inverse distance squared function, and generating corrected seismic volume data based on a difference between values of the residual seismic volume data and the inverted seismic volume data.

The invention relates to a pre-drilling stratum depth prediction method, and belongs to the technical field of oil and gas field exploration and development. According to the seismic interpretation result and the geological data, determining well position coordinates of a design well or an intention well in the target area, converting the well position coordinates of the design well or the intention well into geographic latitude and longitude coordinates, and obtaining well point elevation data values of the design well or the intention well according to the current latitude and longitude coordinates and the topographic data of the target area; performing well-seismic joint time-depth conversion work, determining sand body top and bottom positions and a horizontal section track of a well section of the design well according to the horizon after depth conversion and a transverse change trend of seismic inversion, and predicting a horizontal section track depth value of the design well or the intention well according to a seismic datum plane and an elevation data value of the design well or the intention well; according to the method, well point elevation data can be rapidly and accurately obtained, and the well point depth value can be rapidly and accurately determined.

The invention discloses a method and a device for inverting a high-order frequency dispersion curve of a seafloor node Schelt wave. The method comprises the following steps: determining the distance between reference points according to seismic data arrangement information, and setting a plurality of reference points on a target section where a seismic survey line is located; according to the maximum offset distance and the minimum offset distance, common receiving point sub-gathers are screened from a common receiving point Schelt channel set of each seabed node, sub-gathers are intercepted from the common receiving point sub-gathers according to the reference point position information and the maximum distance, and the sub-gathers with the length not smaller than the minimum length form the gathers of the reference points; determining a frequency dispersion energy spectrum of each sub-gather in the reference point gather to obtain a superposed frequency dispersion energy spectrum of the reference point; and picking up a high-order frequency dispersion curve by superposing a frequency dispersion energy spectrum, and carrying out seismic inversion modeling. According to the method, through screening of available trace gathers of reference points and determination and superposition of frequency dispersion energy spectrums, an energy-enhanced superposed frequency dispersion energy spectrum is obtained, so that high-resolution seismic modeling can be realized based on extracted high-order frequency dispersion curve inversion.

The invention discloses a seismic exploration method based on drilling information structure constraint, which comprises the following steps of: stopping drilling at any time to excite seismic waves in a drilling process by adopting a seismic source while drilling, and continuously changing the position of the seismic source in the drilling process so as to acquire seismic wave data in a plurality of time periods; carrying out independent inversion imaging by using conventional seismic inversion in a first serial number acquisition time period, and carrying out time-shifting seismic source data inversion imaging of borehole information structure constraint in a subsequent moment, namely introducing an inversion result of a previous time period and the structure constraint of borehole information up to a current acquisition time period into a traditional seismic inversion objective function; according to the method, the difference of the next time period is effectively regulated and controlled, so that the resolution of structural constraint inversion is higher, the change condition of abnormal body exposure in the drilling process is accurately captured, the abnormal body in the detection range can be effectively distinguished finally, mutual verification of drilling and geophysical prospecting data is realized, and accurate detection of a drilling detection area is realized.