245 results about "Seismic interpretation" patented technology

A method is disclosed for the generation and application of anisotropic elastic parameters. Anisotropic elastic parameters are generated such that, for selected seismic wave and anisotropy types, an approximation to the anisotropic modeling of seismic amplitudes is obtained by the equivalent isotropic modeling with the anisotropic elastic parameters. In seismic modeling, wavelet estimation, seismic interpretation, inversion and the interpretation and analysis of inversion results anisotropy are handled with isotropic methods, when earth elastic parameters utilized in these methods are replaced by the anisotropic elastic parameters.

Techniques and a system for performing geological interpretation operations in support of energy resources exploration and production perform well log correlation operations for generating a set of graphical data describing the predetermined geological region. The process and system interpret the geological environment of the predetermined geological region from measured surface and fault data associated with the predetermined geological region. Allowing the user to query and filter graphical data representing the predetermined geological region, the method and system present manipulable three-dimensional geological interpretations of two-dimensional geological data relating to the predetermined geological region and provide displays of base map features associated with the predetermined geological region. The method and system automatically update the manipulable three-dimensional geological interpretations of two-dimensional data relating to the predetermined geological region, as well as calculate three-dimensional well log and seismic interpretations of geological data relating to the predetermined geological region.

A method and visualization apparatus for spectral analysis of time-and-space varying signals enables high resolution investigation of 3D seismic data for the exploration of oil and gas. The method extrapolates multi-resolution short windows into an average long window then computes its FFT. Extrapolation uses the continuity relationship between data inside and outside of short windows. Applications of the method are illustrated with graphical screen 3D volume displays of amplitude spectra, dip and azimuth, curvature and faults (figure below). Aside from high resolution these displays improve the productivity of a seismic interpreter.

Techniques and a system for performing geological interpretation operations in support of energy resources exploration and production perform well log correlation operations for generating a set of graphical data describing the predetermined geological region. The process and system interpret the geological environment of the predetermined geological region from measured surface and fault data associated with the predetermined geological region. Allowing the user to query and filter graphical data representing the predetermined geological region, the method and system present manipulable three-dimensional geological interpretations of two-dimensional geological data relating to the predetermined geological region and provide displays of base map features associated with the predetermined geological region. The method and system automatically update the manipulable three-dimensional geological interpretations of two-dimensional data relating to the predetermined geological region, as well as calculate three-dimensional well log and seismic interpretations of geological data relating to the predetermined geological region.

The invention provides a glutenite comprehensive geologic modeling method. The method comprises step1, performing analysis and arrangement on drilling well, earthquake, logging and stratigraphic correlation information to screen geologic model basic data; step2, building a stratum and tectonic framework model through single-well fine stratigraphic correlation, fine earthquake explanation and fine inter-bed and fracture system description; step3, recognizing and determining lithologic characteristics; step4, building a sedimentary facies model; step5, building an attribute model through a pore penetration model. By the aid of the method, the lithology identification accuracy is improved, and rapid division of the sedimentary facies is achieved through man-machine interaction.

The invention provides a model constraint based impedance inversion method and a model constraint based impedance inversion system. The model constraint based impedance inversion method includes: acquiring log data, seismic data and acquisition matrixes of a current stratum; extracting seismic interpretation data from the seismic data; building an initial impedance model according to the log data and the seismic interpretation data; estimating seismic wavelets according to the log data and the seismic data; confirming objective function according to relationship between acoustic wave impedance and reflectance and sampling relationship when seismic traces are missing; confirming impedance sections or impedance objects of the current stratum according to the initial impedance model, estimated seismic wavelets and the objective function; and comprehensively interpreting the impedance sections and the impedance objects to acquire reservoir prediction results of the current stratum. Through model regularization, seismic data interpolation and seismic wave impedance inversion are combined organically, so that the seismic data interpolation and the seismic wave impedance inversion can be realized simultaneously.

The invention provides a multi-scale rock physical charting method and device for detecting reservoir hydrocarbon. The method comprises the steps as follows: obtaining a reservoir rock matrix model and a reservoir rock framework model; acquiring a liquid-containing rock model according to the reservoir rock matrix model, the reservoir rock framework model and liquid parameters; obtaining a multi-scale initial reservoir rock physical chart according to the liquid-containing rock model; correcting the initial reservoir rock physical chart under a plurality of frequency bands according to the rock physical experimental data: correcting the initial reservoir rock physical chart under an acoustic logging frequency band based on the logging interpretation result; correcting the initial reservoir rock physical chart based on the seismic interpretation result; and outputting the final reservoir rock physical chart after the correction, so as to carry out inversion of a reservoir rock physical parameter. With the adoption of the method provided by the invention, the precision of the rock physical chart can be increased, and the quantitative inversion of the rock parameter and the saturation of the liquid can be realized.

The invention provides a multi-resolution wave impedance inversion method based on model constraints, and belongs to the field of seismic exploration and development of oil gas and coal bed methane. The method comprises the steps that an initial model used for wave impedance inversion is established by utilizing seismic records, well-logging data and seismic interpretation horizon data, and scale factors are led in to speed up the computation of algorithms and to reduce the solution multiplicity of the inversion. According to the method, the ground seismic data, the well-logging data and the seismic interpretation horizon data are organically combined, and a certain adaptability on the inversion of faults, the inversion of wedge-shaped stratums and the inversion of thin stratums is achieved; furthermore, the method has the advantages of being high in computational speed, good in stability, high in computational accuracy and strong in anti-noise capacity.

A method is disclosed for the generation and application of anisotropic elastic parameters. Anisotropic elastic parameters are generated such that, for selected seismic wave and anisotropy types, an approximation to the anisotropic modeling of seismic amplitudes is obtained by the equivalent isotropic modeling with the anisotropic elastic parameters. In seismic modeling, wavelet estimation, seismic interpretation, inversion and the interpretation and analysis of inversion results anisotropy are handled with isotropic methods, when earth elastic parameters utilized in these methods are replaced by the anisotropic elastic parameters.

The invention discloses a well breaking point guided earthquake minor fault interpretation method and device. The method includes the following steps: extracting the known well breaking point data; screening a breaking point of a target stratum; obtaining the time value corresponding to the depth of the breaking point through an interval transit time well logging curve, and performing depth-to-time conversion; taking a seismic interpretation position under the target stratum as a reference, comparing the time value obtained through adopting the interval transit time well logging curve with the actual seismic wave travel time value, and correcting the depth-to-time conversion error of the breaking point through adopting the error averaging method of a sampling point; according to the coordinate of a well position, placing the obtained breaking point of the target stratum to a seismic attribution slice of the target stratum, picking up an abnormal seismic attribution zone where the breaking point falls on, mapping a fault polygon of the target stratum, and performing the distribution state interpretation of the plane position of the minor fault; and marking the time domain breaking point after the depth-to-time conversion to a section of the time domain seismic data to indicate that the fault is abnormal, and interpreting the space occurrence of the fault on the seismic section. The method and the device can be used for effectively reducing the multiple interpretation for interpreting the fault of seismic data.

The invention discloses a fault identification method based on a Unet + + convolutional neural network, and is applied to the field of seismic interpretation. Aiming at the problems of low identification efficiency, poor precision, poor noise immunity and the like in fault identification at present, the method comprises the following steps: constructing a seismic amplitude image and a marked faultlabel as a training set of a network; training a Unet + + convolutional neural network according to the constructed training set, and performing fault identification on actual seismic data by using the trained Unet + + convolutional neural network. The method can achieve the quick and precise fault recognition, is high in recognition result resolution, and is good in noise immunity.

The invention provides an automatic fault interpretation device for a three-dimensional seismic data body. According to the automatic fault interpretation device for the three-dimensional seismic data body, a coherent body imaging module is used for detecting seismic faults, and outputting coherent bodies to depict the faults; an ant colony tracking module performs automatic three-dimensional fault tracking and judgment on the coherent bodies by using a directional ant colony algorithm, and outputs an automatic fault tracking result; an automatic fault separation module is used for judging and automatically separating each fault according to the automatic fault tracking result; and an automatic fault attribute calculation module measures and calculates geometric elements and dynamic attributes of the separated faults. The automatic fault interpretation device for the three-dimensional seismic data body can be used for automatically performing fault interpretation on various seismic data; the device has the advantages of high calculation efficiency, objectiveness and accuracy of fault interpretation results, and the like; and fault interpretation accuracy is effectively improved, and seismic interpretation efficiency is improved.

A system for and method of integrated reservoir and seal prediction is useful for evaluation of effective mean stresses affecting geologic systems through their history, and subsequently to predict reservoir and seal quality, flow and seal properties and other behaviors. Porosity and permeability as well as seal properties are modeled based on the effective mean stress. Integrated earth models are built using seismic interpretations, wells and other available data. Geo-mechanical earth models are built and stresses are computed. Basin models are built using inputs from seismic interpretation tools, wells, geochemistry, and earth and mechanical earth models. Reservoir quality and seal quality prediction is performed and the building earth models, computing stresses, building basin models and quality prediction are iterated to converge to a solution that honors well, seismic, core, geochemical and any other available calibration data.

The invention provides a merging processing method of 2D seismic data of complex surfaces, belonging to the field of data processing in geophysical exploration. The method is characterized by firstly establishing a spatial model of a 2D seismic data volume, secondly carrying out field one-step static computation on the spatial model of the 2D seismic data volume, thirdly carrying out field one-step static application, pre-stack noise elimination and fidelity and consistency processing on each 2D seismic line in the spatial model and finally improving the signal to noise ratio and resolution of a target layer. The method has the following beneficial effects: by utilizing the method to carry out merging processing on the 2D seismic data acquired in different years, when the profile is processed, the depth error is smaller than the normative index, the structural features are clear, reliable and closed, and the seismic profile which has high resolution, high fidelity and high signal to noise ratio and can more clearly reflect the structure and lithological change characteristics is processed, thus providing reliable processing result for seismic interpretation.

The present invention discloses a tight sandstone reservoir modeling method. The tight sandstone reservoir modeling method comprises the steps of: taking drilling and logging information as constraints to perform lithology inversion based on post-stack three-dimensional seismic interpretation data to obtain a plurality of inversion data volumes; comparing the inversion data volumes with a logginginterpretation conclusion to optimize an inversion data volume which can most reflect different lithologies; determining a lithology partition criterion according to the dependency of lithology data interpreted from the logging and the values in the optimized inversion data volumes; obtaining a three-dimensional logging lithology data volumes through lithology identification of the values of the inversion data volumes in each three-dimensional grid in the three-dimensional space based on the lithology partition criterion; setting virtual wells at the main body centers of sedimentary facies andthe internal portion of each boundary, and determining the values in the three-dimensional lithology data volumes corresponding to the virtual wells as the lithology data of the virtual wells; and taking the lithology data of the actual drilling wells and the virtual wells as modeling basic data to perform random simulation modeling to obtain a three-dimensional reservoir lithology model so as toachieve the purpose of fine description of the reservoir.

The invention provides a seismic frequency-broadening processing-based phase-controlled random inversion thin reservoir prediction method. The method includes the following steps that: seismic interpretation data and logging information are utilized to carry out fine reservoir calibration, and response characteristics of a reservoir on a seismic profile are clarified; frequency-broadening technology-based fine target processing is carried out on target stratum seismic data, and therefore, the resolution of the target stratum seismic data can be improved, a sensitive discriminant curve which can clearly distinguish the reservoir from surrounding rock is selected according to ground reservoir characteristic analysis; recursive inversion-based constrained sparse pulse inversion is carried out on the seismic data of a research region; reservoir parameter spatial distribution rules of various sedimentary facies are clarified; and based on deterministic inversion data and the reservoir parameter spatial distribution rules of the sedimentary facies, Markov chain Monte Carlo algorithm-based random inversion is carried out. With the seismic frequency-broadening processing-based phase-controlled random inversion thin reservoir prediction method of the invention adopted, an inversion effect can be optimal, and the reliability of the prediction of the thin reservoir is improved.

The invention discloses a seismic sedimentology interpretation method based on frequency-scale matching, and belongs to the field of petroleum exploration and development. The seismic sedimentology interpretation method comprises the following steps: (1) loading post-stack seismic data, (2) carrying out phase switching, obtaining a phase seismic data body with the angle of 90 degrees, (3) confirming the average thickness of a main exploration target sand body according to well-point analysis, (4) confirming the tuning frequency of the target sand body, (5) processing the seismic data in a fractional frequency mode, obtaining a fractional frequency seismic data body reflecting the target sand body, (6) manufacturing strata slices of the fractional frequency data body, (7) interpreting the strata slices, obtaining plane distribution and evolution of the target sand body, (8) when sand bodies with various thickness levels exist, carrying out operations on the sand body at each level according to the step (4) to the step (7), (9) combining the interpretation results of the slices with the same depth of various fractional frequency bodies, and interpreting characteristics and evolution of research area sedimentary microfacies. The seismic sedimentology interpretation method based on the frequency-scale matching is used for interpretation of the thin-layer sedimentary characteristics under a seism vertical resolution ratio, remarkably improves thin-layer sedimentary seismic interpretation accuracy and is wide in application prospect.

The invention relates to a fault interpretation processing method by slicing along structural trend surface and belongs to the technical field of seismic data processing. The method is characterized by, according to development characteristics of stratums in different areas, carrying out slice research based on stratum development rules; through carrying out horizon grid interpretation on a target stratum in the seismic data, determining time range of the target stratum to obtain structural trend of the stratum; and carrying out slicing along the structural trend surface of the stratum in the three-dimensional seismic data, and the obtained slice can truly reflect the fault formation shape and trend in the period, so that the purpose of fault interpretation is achieved. The method overcomes the defects that conventional slices cannot truly reflect the fault system distribution along the structure trend, so that the influence of man-made factors on horizon slice result is prevented; minor fault is effectively identified, especially the interlayer minor fault; seismic interpretation is allowed to be more reasonable; reliable basis is provided for fault system combination; minor fault block entrapment is realized precisely; and the method provides basis for the oil field exploration and development and well deployment.

The invention provides a method for subtly depicting broken edges of a thick-layer fault block oil reservoir. The method comprises the steps that subtle stratigraphic correlation is conducted, and the position of a breakpoint encountered during well point drilling is reasonably determined; through fault structure subtle interpretation, the fault form and a plane combination rule are identified and described; well inclination data are corrected so as to ensure the accuracy of the breakpoint encountered during well point drilling and stratified data underground locations; and a three-dimensional geological model serves as the support and platform, fault data of the breakpoint and seismic interpretation of geological research comparison are integrated in the three-dimensional geological model, through well-seismic mutual calibration, well data points are inlayed in a seismic interpretation face, and with the well-seismic-model combination, the broken edge form is subtly depicted. According to the method for subtly depicting the broken edges, on the basis of subtle broken edge depiction, the potential of remaining oil nearby a fault in the later stage of exploitation is successfully dug by using fault-near horizontal well, new exploitation of a thick-layer-near abandoned layer is achieved, and a feasible method is provided for digging the potential of the remaining oil nearby the fault in the later stage of exploitation.

The invention provides a geology single-layer data depth time conversion method and device for seismic data explanation. The geology single-layer data depth time conversion method includes: using a seismic marker bed position nearest to the upper portion of a target series of strata as the initial position of calculating to extract time and depth initial values; obtaining the geology single-layer depth values to be calculated from an oil filed geology stratified data table to serve as the target depth values in deep time conversion; adopting an interval transit time curve, performing depth time conversion calculation from the initial depth downwards in a point-by-point recurrence mode until reaching the target depth, and solving the time value corresponding to the target geology single layer; and using the seismic data explanation layer position under the target series of strata as the reference, comparing errors between time values of well logging speed calculation and actual seismic wave travel time values, performing error correction in an error averaging method, and outputting the rectified results to obtain the final geology single-layer time values.

The invention relates to a seismic information based coal mine water disaster prediction and evaluation method, and belongs to a coal mine water disaster prediction and evaluation method. The coal mine water disaster prediction and evaluation method comprises three lithologic interpretation methods such as a seismic attribute method, a seismic lithologic inversion method and a probability neural network inversion method; factors influencing water inrush of coal seam roof and floor fall into three categories such as construction, lithology and hydrogeology; construction, lithology and hydrogeology information is acquired by using various lithologic seismic interpretation methods, quantization is carried out on the information, a prediction and evaluation model taking the three types of influencing factors into consideration is established, the water inrush danger level of each part of a mining area is predicted and divided, and prediction and evaluation are carried out on a coal mine water disaster. The advantage is that mutual cross technologies of geophysics, mining engineering and hydrogeology are applied so as to provide geological guarantee for water prevention and safety production of coal mines.

The invention discloses a drilling and logging data depth matching method and system. The drilling and logging data depth matching system comprises a curve processing module, a pseudo three-dimensional seismic interpretation work area creating module, a pseudo seismic interpretation position generating module, a modeling module, a depth matching factor data volume generating module, a data volume matching module and a logging curve conversion module. According to the drilling and logging data depth matching method and system, the problem that logging curve depth matching is low in working efficiency according to an existing software technology method can be solved under the situation of hundreds of drilled wells. The efficiency of logging curve depth matching is remarkably improved, the drilling and logging data depth matching quality is guaranteed by the utilization of the functions of a seismic interpretation system, and reliable basic drilling and logging data are provided for reservoir geological research and reservoir modeling.

The invention discloses a device for interpreting fractured reservoir prediction. By the device, the seismic wave nonlinear dynamics properties, such as redundant dictionaries and chaos, of a fractured reservoir are computed; and by adopting a high order accumulation processing technology, non-gaussian seismic signals of the fractured reservoir can be processed and computed, so that the density aggregation projection analysis of acquired seismic attributes representing the fractured reservoir can be realized. According to the device, a computer is used for assisting in the completion of the interpretation of the fractured reservoir, so that favorable reservoir prediction files are formed. The device has the advantages of high computational efficiency, objective and accurate fractured reservoir interpretation results, and the like; and by the device, the accuracy of the reservoir interpretation and the seismic interpretation efficiency can be effectively improved.

A seismic data analysis method including: loading at least one seismic data volume to a database, performing unbiased sampling on a portion of the seismic data volume to obtain a plurality of unbiased sampling traces, selecting a plurality of trace positions from the unbiased sampling traces, computing a plurality of samples, identifying a first set of wavelets using the samples, computing at least one genotype, creating at least two subpopulations by applying the genotype to the seismic data volume, analyzing the subpopulations for fitness to identify at least one fit population, forming a merged subpopulation by mapping similarities in the first set of wavelets, computing a second sample by identifying a second set of wavelets, creating a mutated subpopulation by applying the genotype to the second sample, and inserting the mutated subpopulation into the seismic data volume to create a geopopulation that defines geological parameters of a subsurface formation.

The invention aims to provide a differential positioning seismometer while drilling to meet requirements while drilling. In the drilling process, the seismometer uses a geophone to measure seismic reflection waves generated when a drilling bit impacts a stratum and convert the measured seismic waves into digital signals which are combined with position information generated by a differential positioning system, time information generated by a high-precision GPS timing system and geophone vertical information generated by an inclination angle sensor to form seismic data in the drilling process, and a drilling well field wireless local area network consisting of data transmission modules realizes the high-speed real-time transmission of the data. The differential positioning seismometer can acquire the seismic waves of fixed points and fixed times in a seismic system while drilling in real time without lagging and realize high-precision differential positioning of collection points; a computer in a monitoring center can realize measuring line display, accurately calculate the track pitch and the offset distance and reduce the seismic interpretation errors; and simultaneously, the inclination angle sensor monitors the inclination angle changes of the seismometer in real time.

The invention provides a fine characterization and prediction method for a carbonate rock particle beach. The fine characterization and prediction method mainly comprises the following steps that theparticle beach is identified by a "five-in-one" comprehensive identification method of the carbonate rock particle beach; a carbonate rock particle beach stratigraphic framework is established; the carbonate rock particle beach distribution mechanism analysis is performed based on a simulation experiment, and a distribution law of the carbonate rock particle beach in a study area is established; control factors of the carbonate rock particle beach is analyzed based on a palaeoenvironment and palaeogeomorphology restoration technology, and control factors of development of different types of particle beaches and the difference between the control factors are clarified; a three-dimensional geological model for the development of the carbonate rock particle beach is established; and prediction of a favorable distribution area of the particle beach is performed based on fine seismic interpretation and a fuzzy evaluation method. The fine characterization and prediction method for the carbonate rock particle beach can objectively and realistically perform restoration study on the underground distribution of the particle beach, and can utilize the modern sedimentary phenomenon to study the distribution law of the ancient particle beaches.

The invention provides an establishing method and a system of a three-dimensional geomechanical field of an extra-deep carbonate reservoir. The method includes: establishing a seismic stacking velocity field including three-dimensional coordinate information according to basic data of a seismic work area; calculating the layer velocity of an edge layer according to the seismic stacking velocity field and seismic interpretation result horizon data, determining the corresponding seismic average speed according to the layer velocity, and obtaining the seismic average velocity field; according to the seismic grid coordinate range of the seismic work area, performing three-dimensional data interpolation of the seismic average velocity field via seismic interpretation horizon control, and obtaining the seismic three-dimensional velocity field; and according to the seismic three-dimensional velocity field, determining lithological physical parameters, calculating the formation pressure and the geological stress of the seismic work area, and establishing the three-dimensional geomechanical field. According to the method and the system, the lithological physical parameters are determined by employing the three-dimensional velocity field obtained by the combination of seismic data and logging data, the obtained formation pressure and the geological stress are more accurate, and more accurate three-dimensional geomechanical field can be established.