The invention discloses a comprehensive modeling method of a complicated mountain front tectonic zone and an established geologic structure model. The comprehensive modeling method comprises the following steps of recognizing and depicting rupture, explaining the rupture, checking the cutting relation and rationality of the rupture, driving a tectonic system according to major rupture, confirming stratum filling, preliminarily establishing the model and performing continuous adjustment and modification through forward earthquake modeling and forward gravity modeling to obtain the reasonable model. The comprehensive modeling method utilizes a field outcrop, gravity, a magnetic method, an electrical method, an earthquake, well drilling and other information to perform modeling and obtain a reasonable and correct subsurface structure and strata distribution, oil-gas exploration is performed with the information as a guidance, various information is organically integrated, one-sidedness of single information modeling is reduced, and a formed modeling technology effectively avoids the modeling subjectivity of different persons. Therefore, establishment of the geologic structure model of the complicated mountain front tectonic zone is facilitated, an oil-gas accumulation position is confirmed, the exploration risk is reduced, and the exploration success rate is improved.

Comprehensive modeling method of complicated mountain front tectonic zone and established geologic structure model

The invention discloses a well-constrained two-dimensional seismic variable velocity field nonlinear error correction method which comprises the following steps: 1, performing deduction and conversion to improve and correct stack velocities of a poor data quality section and a seismic data-free section in a two-dimensional work area, and performing polynomial fitting on all the stack velocities on grid points to establish an initial stack velocity field; 2, generating an average wellhead velocity; 3, constructing an error function, namely making an error curve of a well side stack velocity and the average wellhead velocity, and an error curve of the well side stack velocity and a non-well side seismic channel stack velocity; 4, performing error correction on the seismic stack velocities in the grid points to establish a more reasonable and more accurate variable velocity field by taking nonlinearly variable function values obtained in step 3 as correcting values; 5, performing time-depth conversion on an interpretation time horizon to realize variable velocity mapping by utilizing a corrected variable velocity average velocity model. According to the method, errors of the variable velocity field are favorably reduced, so that the variable velocity mapping accuracy is improved.

Well-constrained two-dimensional seismic variable velocity field nonlinear error correction method

The invention discloses a method for fine calibration of the position of a sand shale thin interbed. The method comprises the steps of 1, determining log layering and single well facies features of a marker bed and the sand shale thin interbed under the guiding of lithofacies and log facies modes; 2, loading seismic and logging data; 3, judging section polarity; 4, identifying and analyzing the seismic section features of the marker bed and the seismic facies features of the sand shale thin interbed; 5, determining the basic frequency of well side seismic channel seismic data by means of statistic wavelets, and selecting a Ricker wavelet of the basic frequency for primary calibration of the marker bed under the guiding of the seismic facies mode; 6, selecting a definite wavelet for secondary calibration; 7, adopting a time-varying wavelet for research of corresponding relation between a whole well and a multi-target stratum; 8, verifying a calibration result according to the relation between amplitude and reflection coefficient sequence envelope. The method has great basic significance for exploration, development, research and application of sand shale thin interbed oil deposit.

Method for fine calibration of position of sand shale thin interbed

The invention provides a seismic model stratigraphic division comparison method, and belongs to the technical field of synthetic geology research. The method comprises the following steps of 1, selecting a key well to be used as a comparison profile; building a stratigraphic framework; 2, performing combination of seismic and logging data to realize drilling delamination and seismic profile anastomosis; 3, building a research region three-dimensional geological model; 4, using a seismic model to correct the stratigraphic division comparison result to realize the closing of the drilling delamination on the model so that the delamination is more reasonable. The method provided by the invention has the advantages that the seismic model is used for inspecting and correcting the reasonableness of the drilling delamination; the problem of conflict between the drilling delamination and the seismic delamination is effectively solved; the drilling delamination is inspected through the model; the isochronic closing of the drilling delamination and the model is finally achieved, so that the delamination is more reasonable and more scientific; the model construction fracture combination relationship is clear; the construction is practical.

Seismic model stratigraphic division comparison method

The present invention provides a foreland basin alluvial fan fine description and prediction method. The method comprises a step of establishing a foreland basin alluvial fan geological model, a step of establishing the stratigraphic framework of an alluvial fan, a step of carrying out seismic facies and attribute inversion to delineate the plane distribution range of an alluvial fan, a step of carrying out three-dimensional electrical inversion to divide the phase band boundary of the alluvial fan of each period, carry out the fine identification of internal lithology and lithofacies, and determine the spatial distribution characteristics of the lithology and lithofacies, and a step of applying OpenDtect software to analyze the alluvial fan vertical evolution and establishing the deposition model of a study area alluvial fan. The method provided by the invention is mainly based on the sedimentology theory and the geological model foundation established by alluvial fan exposure investigation, logging, seismic, electrical method and other materials are fully utilized, the means of logging geological interpretation, seismic sequence analysis, seismic facies interpretation, attribute analysis and electrical method interpretation are integrated, and each phase band of the alluvial fan and the internal lithology and lithofacies spatial distribution characteristic are effectively identified.

Foreland basin alluvial fan fine description and prediction method

The invention discloses an entrapment implementation method The entrapment implementation method comprises the following steps: 1, converting prestack depth migration data H (x, y, z) from a depth domain into time domain data T (x, y, z) by using a prestack depth migration velocity field V (x, y, z); 2, interpreting and imaging depth-time conversion data to obtain a T0 contour map; 3, recognizing and modifying the velocity field through areal geology; and 4, varying velocity and imaging the T0 contour map of the depth-time conversion data by using the modified prestack depth migration velocity field V1 (x, y, z) to obtain a final structural map H1 (x, y, z) By the entrapment implementation method, structural interpretation is performed by using the depth-time conversion time domain data, and the depth migration velocity field is properly adjusted to implement velocity varying and imaging so as to obtain the structural map according to speed control by non-seismic and drilled data in a study area, so that structural implementation can be performed without relying on a seismic imaging speed and the entrapment studying accuracy is improved

Entrapment implementation method

A method for identification and prediction of a fore-land basin extremely-thick conglomerate body belongs to the technical filed of petroleum and natural gas exploration and development. The method comprises the following steps: the step 1) determining electrical characteristics of a gravel layer; the step 2) determining the characteristics of gravel layer seismic horizon and seismic facies; the steps 3) carrying out electrical profile and earthquake depth profile superposition; and the step 4) carrying out gravel layer lithology and lithofacies space identification. The beneficial effects of the method are that gravel layer distribution range, lithology and lithofacies vertical and horizontal distribution rules and the like, which restrict fore-land basin oil and gas exploration and development at each geological time in the fore-land basin can be determined; speed traps caused by the gravel layers can be eliminated to the maximum degree; the earthquake processing imaging speed is allowed to be more accurate; seismic data quality reaches a new level; entrapment implement precision is improved greatly; and well exploration success rate can be further improved.

Method for identification and prediction of fore-land basin extremely-thick conglomerate body

Embodiments of the invention provide a sand layer prediction method and apparatus. The method comprises the steps of decomposing seismic data of a target layer section into different feature subsets, wherein the feature subsets contain seismic wavelet data and include a frequency feature subset and an amplitude feature subset; screening the seismic wavelet data according to attribute information of known sand layer data and attribute information of the seismic wavelet data to obtain sand layer seismic wavelet data, wherein the sand layer seismic wavelet data is seismic wavelet data corresponding to a sand layer; reconstructing the sand layer seismic wavelet data to obtain a reconstructed seismic data cube; and further, performing waveform analysis and attribute analysis on the reconstructed seismic data cube, and accurately predicting sand layer distribution information according to an analytic result, so that the oil-gas drilling efficiency is improved.

Sand layer prediction method and apparatus

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Entrapment implementation method

Method for identification and prediction of fore-land basin extremely-thick conglomerate body

Sand layer prediction method and apparatus