55 results about "Seismic interpretation" patented technology

The present application belongs to the technical field of geophysical well logging data processing, and particularly relates to a multi-scale dual-branch neural network well logging curve reconstruction method based on seismic constraint, which comprises reading in well-seismic and interpreted horizon data, target interval sublayering and facies belt division based on three-dimensional seismic interpretation, pyramid multi-scale training set sample construction by fusing multi-curve and well flanking seismic trace information, residual-Transformer dual-branch neural network training model establishment taking a composite loss function as the core, three-stage progressive training strategy and reconstruction of target well missing section and result evaluation. The method still maintains high stability and robustness under the condition of complex heterogeneous reservoirs; on the basis of seismic data constraint, geological sublayering and facies belt division and other interpretation information are fused, so that the reconstruction result is more in line with geological laws; and the obtained reconstructed curve provides reliable support for re-interpretation of old data and full use of incomplete well logging data.

The invention discloses a seismic image super-resolution reconstruction method based on a double-branch multiple attention network, and belongs to the technical field of seismic exploration, and the method comprises the steps: constructing a data sample library for model training; adopting a super-resolution backbone network and a gradient branch auxiliary network to construct a double-branch multiple attention network model; and training the double-branch multiple attention network model by adopting the data sample library and the mixed loss function to obtain a network model for realizing seismic image super-resolution reconstruction and high-frequency texture information reconstruction, and performing reconstruction based on the trained network model to obtain a seismic image subjected to super-resolution reconstruction. According to the method, a gradient branch is introduced as an auxiliary network, so that the super-resolution reconstruction effect is enhanced. Meanwhile, a mixed loss function is adopted to train the network, and a loss function for constraining high-frequency information is particularly introduced, so that the common structural deformation problem in a super-resolution task is effectively solved, the generation of artifacts is prevented, and a new technical approach is provided for high-precision seismic interpretation.

The invention provides a seismic data bidirectional frequency band expansion method based on carrier modulation, which relates to the field of seismic exploration, and comprises the following steps: processing original seismic data through time window segmentation, calculating an autocorrelation function and carrying out time domain continuation; solving a prediction coefficient based on entropy maximization constraint to generate an amplitude spectrum; calculating a boundary attenuation rate through boundary frequency point positioning; constructing an attenuation compensation function to generate a frequency domain carrier function; applying sparse constraint to solve a weighting factor and iteratively calculating a modulation amplitude spectrum; and finally, carrying out combined inverse transformation with an original phase spectrum to obtain expanded data. According to the method, the resolution and the signal-to-noise ratio of the seismic data are effectively improved, and the seismic interpretation precision is improved.

This invention relates to a method, apparatus, migration method, device, and medium for establishing an anisotropic parameter field. The method includes: obtaining the thickness of the target logging layer at each well point based on well logging layer information; obtaining the thickness of the target seismic interpretation layer corresponding to the well point based on seismic interpretation layer information; calculating the thickness factor of the well point at the target logging layer based on the thickness of the target seismic interpretation layer and the thickness of the target logging layer; and correcting the target logging layer based on the thickness factor of each well point and the thickness of the target seismic interpretation layer to obtain the corrected target logging layer, thereby establishing an anisotropic parameter field. In this embodiment, by constraining the logging layers between well points under the lateral trend of the seismic interpretation layer, the difference between the established anisotropic parameter field and the anisotropic parameter field of the actual subsurface medium is reduced.

The application discloses a multi-azimuth post-stack seismic attribute interpretation method, device, medium and equipment, and the method comprises the following steps: acquiring a target layer seismic interpretation horizon and a plurality of azimuth seismic attribute data bodies; setting a window used for calculating eigenvalues; selecting an eigenvalue; for the selected eigenvalue, in the window, based on the plurality of azimuth seismic attribute data bodies, attribute optimal eigenvalues of each position point in the plurality of azimuth seismic attribute data body spaces are obtained; based on the attribute optimal eigenvalues of each position point, an eigenvalue data body is obtained; and an attribute plan view is extracted in the eigenvalue data body along the target layer seismic interpretation horizon. The application acquires the most representative attribute advantage eigenvalues in different azimuths, and constructs a new data body from the eigenvalues, so that the purpose of highlighting the geological abnormal response characteristics and reducing the dimension interpretation is achieved, and the efficiency and precision of the post-stack multi-azimuth seismic interpretation are effectively improved.

The present application belongs to the technical field of oil exploration, and discloses a method for evaluating the development degree of sand-mudstone reservoir-cap assemblage, which specifically comprises the following steps: conducting regional data analysis for a study area, and mastering the core / cuttings data, logging data and oil testing and production testing data of drilled wells, as well as the seismic data and seismic interpretation horizon data of the whole work area; conducting pre-stack deterministic inversion based on Zeoppritz equation to obtain the data body of the ratio of P-wave velocity to S-wave velocity in the work area; extracting the numerical value of the ratio of P-wave velocity to S-wave velocity along the sandstone layer interpreted by the seismic data to obtain the plan view of the sandstone reservoir; extracting the numerical value of the ratio of P-wave velocity to S-wave velocity along the mudstone layer interpreted by the seismic data to obtain the plan view of the mudstone cap rock; quantifying the relative development degree of the reservoir-cap assemblage by a development degree index calculation formula, constructing the plan view of the development degree index of the sand-mudstone reservoir-cap assemblage, and quantitatively dividing the development degree of the reservoir-cap assemblage. The present application can clearly define the development range of high-quality reservoir-cap assemblage, delineate the favorable exploration area, and further guide the well site deployment of exploration wells.

The present application relates to the technical field of oilfield exploration and development, and particularly relates to a method for predicting the distribution range of deep-water turbidite sand bodies. The method comprises the following steps: using three-dimensional seismic data, actual drilling well data and velocity data to calculate the maximum thickness of the sedimentary sand body of the upthrown wall of the fault which provides the source for the turbidite sand body; calculating the fault throw according to the development form of the three-dimensional seismic interpretation fault in the work area, and comprehensively considering the seismic, velocity and well data; determining the dip angle of the downthrown wall stratum through the two-dimensional seismic profile perpendicular to the fault strike; based on the drilling and logging data, according to the thickness of the deep-water turbidite sand body in the higher exploration degree area of the research area and the critical value of the deep-water turbidite sand body, drawing the sand body thickness contour map of the research area, so as to determine the distribution range of the deep-water turbidite sand body in the higher exploration degree area. The method is suitable for accurately predicting the distribution range of the deep-water turbidite sand body in the faulted basin.

The application discloses a method and device for identifying a seismic horizon and a storage medium, and belongs to the technical field of seismic interpretation. The method comprises the following steps: acquiring a seismic data body and a multi-target horizon identification sample set seismic data body, and using the multi-target horizon identification sample set seismic data body to generate a sample seismic profile W r The multi-target horizon identification sample set comprises artificial interpretation seismic horizons obtained after marking and processing the sample seismic profile W r , and at least four auxiliary seismic horizons related to the artificial interpretation seismic horizons; a convolutional neural network is trained according to the sample seismic profile W r and the multi-target horizon identification sample set, and a multi-target horizon identification network Net L is obtained; a to-be-identified seismic profile is substituted into the multi-target horizon identification network Net L , and a transition seismic horizon and at least four auxiliary seismic horizons related to the transition seismic horizon are obtained, and then a target seismic horizon is determined through fusion processing. The method can accurately identify the seismic horizon and improve the accuracy of seismic interpretation.

The invention belongs to the technical field of reservoir geological modeling, and provides a clastic rock oil and gas reservoir key interface characterization modeling method, device, equipment and medium, and the method comprises the steps: constructing a geological modeling basic database; key interface identification and representation are carried out based on the constructed geological modeling basic database; constructing a construction model based on the recognition and representation results of the key interface, the seismic data volume and the well data; checking whether a geological interface in the tectonic model is consistent with well data and seismic interpretation, and if not, optimizing the tectonic model; based on the sedimentary microfacies data, a deterministic assignment method is adopted to construct a sedimentary microfacies model; based on the sedimentary microfacies model, a sequential indication method is adopted for simulation, and a lithologic model is constructed; constructing an attribute model based on the lithologic model; according to the method, the structure model is optimized, so that the structure model restores the structure characteristics as much as possible, and reliable spatial constraints are provided for coarsening and modeling of attributes such as lithology, porosity, permeability and saturation.

The present specification relates to the field of oil and gas field exploration and development, and particularly relates to a structure modeling method and device based on horizontal well layering. The method comprises: determining logging characteristics and logging identification marks of a straight well section according to logging data of the straight well section in a study area; determining layer-penetrating point information of a horizontal well according to logging curves of the horizontal well and comparing with the logging characteristics; constructing a well trajectory one section of the horizontal well according to seismic interpretation data and the logging identification marks; extracting corresponding isostatic elevation data of the layer-penetrating point on the well trajectory one section according to the logging identification marks; determining a correction amount according to the elevation of the layer-penetrating point and the isostatic elevation data; and correcting structure surfaces of each small layer according to the correction amount to obtain a structure model. The present scheme solves the problem that it is difficult to establish an accurate, reliable and fine structure model due to the small amount of small layer interface data in structure modeling of an oil and gas reservoir developed mainly by horizontal wells.

The present application relates to the field of seismic interpretation, in particular to a deep seismic reflection structure feature analysis method, device and medium, the method comprises selecting seismic data and determining effective bandwidth data of effective frequency band; different narrow band pass filters are constructed, and structure feature information is scanned to determine the frequency parameters of the structure features; based on the frequency parameters of the structure features and the effective bandwidth data, double constraint calculation is performed on the actual seismic data to obtain a comprehensive structure feature image; noise suppression is performed and seismic reflection structure geological interpretation is performed based on the comprehensive structure feature image. Based on the partial feature frequency scanning technology, combined with the constraint of the double band pass filter, important low frequency information can be retained while fully considering high frequency information, so that the details of the deep seismic reflection structure are more comprehensively reflected. This method can effectively reduce noise interference by accurately selecting the frequency range, and improve the accuracy and reliability of the analysis results.

The application provides a HTI medium elastic parameter and fracture weakness seismic inversion method and system, and comprises the following steps: establishing a seismic forward model based on a longitudinal wave reflection coefficient equation of the HTI medium and a convolution model of a seismic wavelet; according to the fact that a prior distribution of model parameters of the seismic forward model conforms to a Gaussian distribution, analyzing a prior probability distribution function and the seismic forward model by using a Bayesian theory, and then obtaining a posterior probability distribution function of the model parameters; and inversely solving the posterior probability distribution function of the model parameters to obtain the HTI medium elastic parameter and the fracture weakness. In combination with prior information of the model parameters, the uncertainty of an inversion result can be analyzed through the posterior probability distribution, and useful reference information is provided for subsequent seismic interpretation work.

The application discloses a method for intelligently modeling rock mechanics properties of a tight sandstone reservoir, comprising the following steps: obtaining three-dimensional seismic interpretation data, well logging data and rock mechanics experiment data; establishing a three-dimensional geological structure model of the tight sandstone reservoir which fuses a fault structure; calculating a quantitative fitting relationship between static rock mechanics parameters and a sand ratio; extracting a lithology factor data body from the three-dimensional seismic interpretation data, discriminating the lithology factor data body, generating a three-dimensional spatial distribution of sandstone and mudstone, and thus obtaining a three-dimensional sand ratio distribution model; and based on the three-dimensional sand ratio distribution model and the quantitative fitting relationship, calculating initial values of rock mechanics parameters of each grid unit, and assigning values to the three-dimensional geological structure model and correcting the fault, so as to obtain a final three-dimensional rock mechanics property model. The application realizes multi-source data fusion and quantitative modeling of fault disturbance, and solves the problems of insufficient description of reservoir heterogeneity, lack of physical basis of the model and low reliability of modeling of a fracture zone in the prior art.

The invention discloses a deep coal bed gas containing heterogeneity detection method, a storage medium and equipment. The method comprises the following steps: 1, acquiring post-stack seismic data of a corresponding coal bed gas work area; 2, according to the post-stack seismic data, obtaining a seismic interpretation horizon of a coal seam, and marking the seismic interpretation horizon as T; 3, extracting a plurality of position pairs of post-stack seismic data to obtain a plurality of seismic traces; 4, performing time-frequency analysis on the extracted seismic traces by adopting synchronous extrusion S transformation to obtain a time-frequency distribution diagram; according to the method, the coal seam seismic data is analyzed through synchronous extrusion S transformation, compared with a traditional time-frequency analysis method, the obtained time-frequency analysis result has higher time-frequency resolution and better time-frequency energy focusing performance, in the application of actual seismic data, instantaneous spectrum anomaly characteristics such as high-frequency attenuation related to deep coal reservoirs can be effectively detected, and the method has the advantages of being high in accuracy and high in reliability. The prediction precision of the deep coal reservoir is improved, and the gas-bearing heterogeneity of the deep coal reservoir can be accurately described.

The invention relates to a well-seismic combination recognition method for a mudstone thin interlayer, which comprises the following steps of: establishing an initial model for reflecting structural and sedimentary characteristics by taking a seismic interpretation result as a constraint and combining logging information, and on the basis of the model, indicating a basic process of inversion and a parameter optimization result according to a waveform characteristic; calculating to obtain a target inversion body capable of clearly reflecting the spatial distribution of the reservoir sand shale; after the inversion body is generated, the waveform indication microelectrode inversion body is used as an effective basis for distinguishing sandstone and mudstone, a mudstone interlayer distribution diagram is drawn by combining the known mudstone condition encountered by well drilling, and identification of the mudstone thin interlayer is completed; according to the mudstone thin interlayer recognition method, the mudstone thin interlayer can be qualitatively and quantitatively recognized, and accurate recognition of interlayer type shale oil is achieved.

The invention discloses a geological model reconstruction method for seismic data multi-horizon simultaneous tracking. The method comprises the following steps: firstly, constructing a stratigraphic framework model based on existing seismic interpretation, and dividing a seismic data volume into independent calculation units according to a preset surface element scale; the whole large seismic data volume is cut into a plurality of three-dimensional calculation unit bodies, so that the calculation efficiency and fault tolerance are improved, and finer waveform changes in the seismic data can be utilized. Historical seismic interpretation data are utilized, secondary stratums in a large set of stratums are analyzed based on seismic data waveform characteristics, the efficiency of geologic model modeling is remarkably improved, the precision of a geologic model is improved, and the problem of fine distortion of the geologic model is solved.

This invention provides a prediction data volume based on weak energy seismic data, along with a method for picking and identifying fractures, belonging to the field of fracture prediction technology in seismic interpretation for oil and gas field exploration and development. The picking method includes: Step 1, preparing post-stack seismic data and determining the data range to be calculated; Step 2, determining the wavelength n and the calculation window size; Step 3, for any seismic sample point p0 to be calculated, executing sub-steps 3a-3c; Step 4, traversing all sample points to be calculated, repeating Step 3 to obtain the final weak energy picked fracture prediction data volume. This invention can consider tectonic variation factors, ensuring that weak energy attributes reflect differences within the same stratum; it can mark fractures by finding weak energy locations, to some extent compensating for the deficiency of conventional seismic fracture attributes that only consider differences between adjacent traces; it can consider stratigraphic anisotropy, adding geometric and energy difference scaling factors, making the reflection of fault fractures more reliable.

The invention provides an automatic section dip angle calculation method based on seismic interpretation data. The automatic section dip angle calculation method based on the seismic interpretation data comprises the steps of 1, inputting seismic horizon and fault polygon data; step 2, carrying out grid division on the horizon data; step 3, carrying out fault polygon vertex elevation assignment; step 4, determining a fault end point; step 5, judging upper and lower walls of the fault; and step 6, estimating the section inclination angle. According to the seismic interpretation data-based section dip angle automatic calculation method, the section dip angle is calculated by utilizing seismic horizon data and a fault polygon corresponding to the horizon, the upper and lower walls of a fault are automatically judged, and the horizontal fault displacement, the vertical fault displacement and the fault dip angle of any point can be automatically calculated. Compared with a common manual calculation method at present, the method does not need manual operation, can improve the calculation speed of the fault dip angle and reduce the calculation error, and has the advantages of high efficiency and high precision.

This invention relates to a method and system for determining the location of oil and gas reservoirs using a mechanical property model of a subsurface geological region. The method (10, 20) includes the steps of: creating multiple hypothetical seismic profiles at the time of deposition based on seismic interpretation of the subsurface geological region and the influence of tectonic time data and tectonic pressure data (11, 21); and creating a mechanical property model of the subsurface geological region based on the multiple hypothetical seismic profiles at the time of deposition and the influence of tectonic time data and tectonic pressure data (12, 22).

The invention relates to the field of structural profile map drawing, and discloses a geological structural profile map improvement system and method based on seismic interpretation data constraint, and the method comprises the steps: preparing a geological plane base map and a seismic structural interpretation map; analyzing the position relation between the structural section and the surrounding seismic survey lines; seismic data constraint information is extracted in a classified mode according to the intersection angle of the structural section and the seismic survey lines: for the small-angle oblique crossing or parallel seismic survey lines, the number, the property and the combination relation of faults are extracted; for a large-angle oblique crossing seismic survey line, extracting stratum depth data of an intersection point by generating a virtual well; and finally, correcting fault combination and stratigraphic distribution of the structural profile map in MapGIS software by utilizing the constraint information. According to the method, through differential utilization of the seismic data, deep seismic information and surface geological data are effectively fused, the prediction depth, the accuracy and the application range of the structure profile map are remarkably improved, and the method is particularly used for deep geological structure recognition and three-dimensional geological modeling.

The application discloses a method and device for estimating horizontal slip distance of a tensional and shear tectonic zone, equipment and a medium, and relates to the technical field of oil geological exploration. The method comprises the following steps: performing seismic interpretation on horizon information and fracture information contained in the same phase axis data of the tensional and shear tectonic zone to be estimated, so as to obtain fault information and target horizon information of a target layer; determining a local small-displacement fracture development zone with a vertical tectonic trend from the tensional and shear tectonic zone to be estimated based on the fault information and the target horizon information; screening a target horizontal slice group from the local small-displacement fracture development zone according to similarity information, amplitude strength information and frequency information of a wave group; analyzing the target horizontal slice group superimposed with a fracture track corresponding to the target layer, and determining a plurality of fracture positions for estimating the horizontal slip distance; measuring and calculating a data pair of the horizontal slip distance and the vertical displacement of all the fracture positions, fitting and analyzing the data pair after the measurement and calculation, and estimating the horizontal slip distance of the tensional and shear tectonic zone to be estimated.

This invention discloses a reservoir prediction and hydrocarbon detection method based on P-wave and S-wave spectral decomposition, comprising the following steps in sequence: S1. Obtaining P-wave data volume A and S-wave data volume B; S2. Decomposing P-wave data volume A and S-wave data volume B using P-wave seismic interpretation and S-wave seismic interpretation respectively, obtaining P-wave tuned volume X and S-wave tuned volume Y; S3. Picking the tuning frequencies of P-wave tuned volume X and S-wave tuned volume Y respectively; S4. Calculating the P-wave / S-wave velocity ratio and Poisson's ratio using the tuning frequencies of P-wave tuned volume X and S-wave tuned volume Y; S5. Performing reservoir prediction and hydrocarbon detection using the P-wave / S-wave velocity ratio and Poisson's ratio. This invention only uses P-wave and S-wave spectral decomposition technology to calculate the P-wave / S-wave velocity ratio and Poisson's ratio for reservoir prediction and hydrocarbon detection, without the need for complex procedures. The method is simple, low-cost, easy to master and promote, and still applicable to areas with low exploration levels.

The invention belongs to the technical field of gas storages, and particularly relates to a gas storage site selection evaluation method, which comprises the following steps: judging an underground structure according to seismic data, and predicting a trap region; pre-stack time migration processing is carried out on the trap area with the stratum transverse velocity variation exceeding a preset value, and an underground structure preliminary image is obtained; performing time domain well seismic calibration on the target layer of the preliminary imaging of the underground structure to obtain a preliminary structure condition; determining a construction dominant area according to the initial construction condition; performing pre-stack depth migration processing on the constructed dominant region to obtain a depth domain data body and a time domain data body; according to the depth domain and time domain data volumes, seismic interpretation is carried out, and structural elements of a trap are determined; and evaluating the site selection of the gas storage according to the structural elements of the trap. According to the method, maximum and high-precision structural analysis is realized by adopting a time-depth double-domain combined double-joint interpretation method, and the accuracy and efficiency of gas storage site selection evaluation are improved.

A method is described for automated seismic interpretation, including receiving a 3-D seismic image and a pre-trained neural network; selecting, from the 3-D seismic image, a sparse set of training data; and performing active learning to train an active learning model from the pre-trained neural network using the sparse set of training data. The active learning model is then used to predict a seismic interpretation for the 3-D seismic image. The method is executed by a computer system.

The present application relates to a kind of fault stability evaluation method considering pressure-stress coupling, the method comprises: according to the rock mechanics parameters of target horizon or field measured pressure and ground stress data, the pressure-stress coupling ratio is calculated;Based on seismic interpretation results, three-dimensional structure modeling of fault is carried out, and fault occurrence distribution is simulated and calculated;Initial stress and coupling stress analysis and calculation of section are carried out in combination with three principal stresses, including shear stress and effective normal stress;Monomial quadratic equation about fault instability critical pressure is built, and the risk type of fault instability is judged in combination with the pressure limit of oilfield production practice;The critical pressure of fault instability under different risk types is calculated.The present application can consider the influence of pressure-stress coupling on fault stability, so that the fault stability evaluation result is more in line with actual.

This invention provides a method for predicting source rocks in deep, well-free areas, comprising: constructing a stratigraphic velocity model; obtaining a three-dimensional stratigraphic structure image based on the stratigraphic velocity model and seismic data from the deep, well-free area, and performing seismic interpretation to determine the potential distribution range of source rocks; constructing a paleogeographic model based on the sedimentary facies and paleogeographic conditions of the deep, well-free area; constructing a tectonic model based on tectonic feature data; constructing a three-dimensional geological model based on the paleogeographic model, the tectonic model, and the stratigraphic data of the deep, well-free area; determining the distribution range of source rocks in the three-dimensional geological model; and overlaying the potential distribution area of ​​source rocks obtained from seismic analysis with the distribution range of source rocks obtained from the three-dimensional geological model to determine areas favorable for source rock distribution. By comprehensively utilizing seismic imaging and geological modeling methods, the accuracy of predicting the distribution of source rocks in deep, well-free areas is improved.

The invention provides a high-camber meandering river model construction method and device, equipment and a medium, and belongs to the technical field of reservoir geological modeling. The method comprises the following steps: on the basis of seismic interpretation, extracting and analyzing morphological parameters of a riverway and a breach fan of the high-camber meandering river, determining the minimum value and the maximum value of the parameters, and calculating an average parameter; then, on the basis of the parameters, multiple times of adjustment are carried out, a plurality of river channel three-dimensional models are constructed, the models are mapped into a grid model, and a river channel-point dam grid model is formed; by calculating azimuth angles and curvatures of grid points, breach fan micro-phase points are identified, breach fan simulation is carried out in a grid model by using the information, and finally a detailed high-camber meandering river three-dimensional geological model is constructed. According to the method, accurate acquisition and dynamic simulation of river morphological parameters and accurate identification of breach fan micro-phase points are realized, so that the simulation accuracy of a high-camber river model is improved.

The application provides a relative geologic time prediction method and device, computer equipment and a storage medium, and belongs to the technical field of oil and gas seismic exploration and seismic interpretation. The method comprises the following steps: segmenting block seismic data of a target block to be predicted to obtain a plurality of block sub-data of the target block; training a relative geologic time prediction model based on the plurality of target block sub-data, wherein the target block sub-data is block sub-data of part of seismic data including at least one first horizon in the plurality of block sub-data; predicting the plurality of block sub-data based on the trained relative geologic time prediction model to obtain the predicted relative geologic time of each horizon in the plurality of block sub-data; and merging the predicted relative geologic time of each horizon in the plurality of block sub-data to obtain the predicted relative geologic time of a plurality of second horizons. The above technical solution can improve the prediction efficiency of the relative geologic time while improving the accuracy of the prediction result.

The invention discloses an extra-high-resolution seismic de-aliasing seismic interpretation method. The method comprises the following steps of performing conventional low-frequency three-dimensional seismic data horizon interpretation; reducing the time construction dip angle of the horizon data; smoothing the horizon data to form a trend surface horizon data body after horizon smoothing; leveling the extra-high-resolution seismic data volume by using a structural trend surface horizon; performing subdivision horizon interpretation on the extra-high-resolution seismic data body without spatial aliasing after structural trend surface horizon leveling processing; removing structure trend surface horizon leveling, and recovering the original sample of the extra-high-resolution seismic structure horizon; performing vertical interpolation on the horizon data to form new horizon data; and extracting the amplitude of the ultrahigh-resolution seismic data body along the layer. The method is used for geophysical extra-high-resolution seismic horizon interpretation in oil-gas exploration and development, and the problem that seismic horizon interpretation is difficult due to serious extra-high-resolution seismic spatial aliasing is solved.

The invention discloses a logging identification and prediction method and system for thin-layer mud shale type marine facies hydrocarbon source rocks, and the method comprises the steps: carrying out the core observation of the thin-layer mud shale type hydrocarbon source rocks in a research region, and determining the stratum section and lithologic features of the thin-layer mud shale type hydrocarbon source rocks; analyzing logging response characteristics of the thin-layer shale type hydrocarbon source rock; well logging parameters are optimized, and a well logging identification quantity version of the thin-layer shale type hydrocarbon source rocks in the research area is established; predicting the accumulated thickness of the target layer thin shale type hydrocarbon source rock based on the logging identification quantity version; and predicting the plane distribution of the thin-layer mud shale type hydrocarbon source rocks according to seismic interpretation on the basis of the accumulated thickness of the target layer thin-layer mud shale type hydrocarbon source rocks. According to the method, the problem that the distribution of the thin-layer mud shale type hydrocarbon source rocks is difficult to predict by directly utilizing a pseudo-acoustic curve for inversion or directly utilizing seismic attributes is solved, the plane distribution range of the thin-layer mud shale type hydrocarbon source rocks in a research area is effectively predicted, and the plane distribution predicted at the moment is high in reliability.