14 results about "Seismic analysis" patented technology

This invention provides a method for characterizing sedimentary microfacies distribution based on comprehensive geological and seismic analysis. By studying the sedimentary environment and surrounding tectonic background of the entire block, this invention calculates the cumulative percentage of channel and shoal body types based on sedimentary microfacies and grain size analysis. Based on a comprehensive analysis of the lithofacies of drill cores and corresponding well logging curves and seismic response characteristics, it establishes a comprehensive response model of the main sedimentary facies-well logging facies of the target stratigraphic group in the study area. Furthermore, based on the fusion of seismic attributes, it characterizes sand bodies in seismic profiles. By integrating the sand body characterization results, the comprehensive response model of sedimentary facies-well logging facies, and the sedimentary microfacies types, a method for characterizing sedimentary microfacies distribution in tight sandstone reservoirs using comprehensive seismic and geological analysis is established.

This invention discloses a method, apparatus, and equipment for determining formation thickness based on combined gravity and seismic data. The method includes: extracting the vertical derivative of the Bouguer gravity anomaly in the target basin; regularizing the vertical derivative of the Bouguer gravity anomaly to obtain a regularized value; determining the formation thickness at several well points and in three-dimensional regions within the target basin based on seismic and well data; and establishing a formation thickness prediction function for the target basin based on the regularized value of the vertical derivative of the Bouguer gravity anomaly and the formation thicknesses at several well points and in three-dimensional regions, thereby determining the formation thickness of the entire target basin based on the formation thickness prediction function. This method not only reduces the uncertainty of difference caused by data sparsity when using only seismic data but also solves the drawback of existing gravity interface inversion techniques lacking seismic constraints.

This invention belongs to the field of seismic design technology for railway bridges, and relates to a seismic analysis method for railway bridges using a variable friction coefficient friction pendulum bearing for seismic isolation and vibration reduction. This method is used to determine the design displacement D of the variable friction coefficient friction pendulum bearing; specifically, it includes the following steps: establishing an equivalent period T based on the design parameters of the variable friction coefficient friction pendulum bearing. eff The relationship between the coefficient of friction and the variable friction coefficient; based on the bridge design conditions, the relationship between the equivalent period and the acceleration response spectrum value is established, and S(T) is obtained. eff Determine the damping adjustment coefficient η; equivalent damping ratio ξ; establish support displacement and equivalent period T. eff S(T) eff By considering the relationship between η and η, and combining it with Newton's iteration process, the final support displacement D is determined. This invention saves time by using analytical expressions for calculation, avoiding tedious modeling, long computation times, and convergence issues compared to the finite element model nonlinear time history analysis method. This allows for rapid evaluation of the seismic performance of different support parameters and structural configurations during the scheme design, parameter optimization, and preliminary design stages.

The application discloses a fault information independent near-fault pulse type ground motion selection method, belonging to the field of earthquake engineering and structural seismic analysis, and comprises the following steps: step 1, firstly, according to a target risk level, a target peak ground acceleration PGA of a site is determined through a ground motion parameter zoning map; a PGV / PGA recommended value is obtained by inquiring a pre-established PGV / PGA recommended value table according to the PGA value; and secondly, ground motion selection is carried out for the target site; step 2, based on a conditional parameter, it is assumed that the conditional parameter and a spectrum shape parameter joint vector conform to a multivariate normal distribution in a logarithmic space, and the conditional mean vector and the conditional covariance matrix of the four spectrum shape parameters are calculated from a ground motion database as target statistical characteristics by utilizing the conditional distribution properties; and step 3, a two-stage optimization algorithm is adopted to select matched ground motion. The application is free from fault information dependence, effectively incorporates the pulse effect, has strong practicability, is simple to operate, and has good risk consistency.

This application provides a data acquisition method, a self-contained seismograph, equipment, and medium for a self-contained seismograph, relating to the field of earthquake monitoring technology. The method, by integrating a low-energy-consumption first sensor and a high-precision second sensor into the self-contained seismograph, employs a method where the first sensor continuously acquires initial vibration signals and compares them with a preset vibration signal threshold to determine the presence of abnormal events. Only when an abnormal event is detected is the power module activated to supply power to the second sensor to acquire target earthquake data. Power is then deactivated after acquisition. This approach ensures continuous data acquisition using the low-energy-consumption first sensor when no abnormal events are detected, reducing overall energy consumption, extending equipment runtime, and lowering monitoring costs and maintenance workload. Simultaneously, it enables timely activation of the high-precision second sensor to acquire accurate target earthquake data when an abnormal event is detected, providing a reliable basis for subsequent earthquake analysis and improving the accuracy and effectiveness of earthquake monitoring.

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.

This application discloses an integrated assessment method and device for multivariate seismic vulnerability of tunnels that incorporates physical priors, relating to the technical field of seismic analysis and seismic risk probability assessment of underground engineering structures. The method includes: generating predicted samples based on a logarithmic domain joint distribution description; inputting each predicted sample into a heteroscedastic moment estimation substitution model to obtain predicted values ​​of the conditional mean and conditional variance of the logarithmic domain demand response; reconstructing and dynamically anchoring the conditional marginal distributions of each response based on the predicted values ​​and residual information, and coupling each anchored conditional marginal distribution to obtain a multi-response joint probability model; calculating the point-state failure probability of each projected sample under a preset damage state based on the multi-response joint probability model, constructing discrete sample pairs; and fitting each discrete sample pair to obtain seismic vulnerability curves under each preset damage state. This application improves the accuracy, robustness, and engineering usability of tunnel seismic vulnerability assessment.

This invention relates to the field of reservoir prediction technology, and particularly to a method and apparatus for establishing a low-frequency model based on Hilbert-Huang transform for seismic inversion. The method includes: partially stacking CRP gathers that reflect AVO characteristics from CRP gather data; decomposing the partially stacked data volume into several intrinsic mode function (IMF) data volumes; performing a Hilbert-Huang transform on the IMF data volumes to obtain a Hilbert spectrum; performing low-frequency energy enhancement on the partially stacked data volumes based on the Hilbert spectrum to obtain a low-frequency enhanced data volume; and establishing a low-frequency model using a support vector machine method combined with well-seismic analysis, under the constraints of a subdivided layer interpretation structural framework. This invention expands the effective signal at the low-frequency end without changing the relative relationships between the partially stacked data volumes, improving the vertical resolution of seismic data while maintaining its lateral resolution, thus providing effective technical support for unconventional reservoir oil and gas exploration and development.

An earthquake analysis and calculation system based on tidal theory includes a tidal theory calculation module, a fault parameter and stress projection module, an earthquake event import module, and an analysis module. The output of the tidal theory calculation module is connected to the input of the fault parameter and stress projection module, the output of the fault parameter and stress projection module is connected to the input of the earthquake event import module, and the output of the earthquake event import module is connected to the input of the analysis module. The tidal theory calculation module includes input time and spatial parameters and outputs a tidal stress tensor. The fault parameter and stress projection module includes input fault plane parameters and outputs tidal shear stress and normal stress. The earthquake event import module includes inputting earthquake event data and outputting tidal stress and earthquake event data, which are then transferred to the analysis module. The analysis module includes outputting a fused visualization result of tidal stress and earthquake events. This invention integrates solid tidal theory calculation and earthquake analysis.

This invention provides a method, apparatus, equipment, and medium for identifying reservoir spatial distribution using a combination of well logging and seismic analysis. Through the establishment of a well logging lithofacies and sedimentary facies identification module, the rock type and sedimentary microfacies of the target strata in the study area are quickly and accurately identified. Based on this, the planar distribution of sedimentary microfacies is characterized. Combined with well point information from drilled wells, the dominant sedimentary microfacies and their vertical and horizontal development patterns for effective reservoir development in the target strata are derived. Furthermore, by organically combining facies-controlled 3D geological modeling, isochronous stratigraphic slicing, and 90° phase transformation techniques, a reservoir spatial distribution prediction model is established. This model reduces the ambiguity of geophysical data and the inaccuracy of local structural predictions, achieving reservoir spatial distribution prediction accuracy at an advanced level both domestically and internationally. Simultaneously, the planar distribution characteristics of single-stage sand bodies are used as one of the model constraints to improve the identification ability and accuracy of vertical reservoir variation patterns, solving the problem that traditional seismic and geological disciplines only focus on planar reservoir distribution prediction.

The application discloses an anti-seismic analysis method of improved steel reinforcement restoring force model, and is based on a built digital component test database, and uses the improved steel reinforcement restoring force model and a concrete constitutive model considering tensile characteristics as material constitutive, uses the fiber element based on the stiffness method to build the automatic elastic-plastic analysis model of the component fiber element, and carries out the optimal solution identification of control parameters, builds the component steel reinforcement constitutive parameter prediction model taking the component design characteristic parameters as input and taking the improved steel reinforcement restoring force model control parameters as output and carries out training. The application can consider the interaction between different materials and the influence of the component macroscopic characteristics on the material mechanical properties, and then consider the complex hysteretic characteristics of the component, and through embedding the improved steel reinforcement restoring force model in the fiber element, the component elastic-plastic analysis in the structure anti-seismic is carried out, the calculation efficiency is ensured while the elastic-plastic calculation precision is improved.

This invention discloses a geological evaluation method for volcanic rock exploration targets based on three-dimensional seismic analysis. The method includes: Step S1: fine interpretation of three-dimensional seismic data to determine the geological framework spatial model; Step S2: source rock condition analysis to determine the oil and gas resource potential of the three-dimensional region; Step S3: study of volcanic rock reservoir characteristics to identify reservoir spatial types; Step S4: combination of geology and geophysics to characterize volcanic rock lithological traps; Step S5: analysis of oil and gas transport systems to indicate volcanic rock oil and gas accumulation areas; Step S6: study of regional caprocks in volcanic rocks to clarify the preservation conditions of volcanic rock oil and gas reservoirs; and Step S7: three-dimensional spatial model display to select optimal volcanic rock exploration targets. By comprehensively analyzing the spatial configuration relationship of source-reservoir-cell-fault-caprock, analyzing oil and gas migration and accumulation processes, clarifying the spatial distribution patterns of oil and gas reservoirs, and selecting favorable target areas for volcanic rocks, this method provides a strong basis for well location deployment and drilling.

Provided are a well-seismic analysis system and method based on a tight sandstone geological-mechanical coupled lithofacies system, and a device. The system includes a classification mode construction module configured to construct a geological-mechanical coupled lithofacies classification mode for a tight sandstone reservoir based on the information data through a four-element composite triangle chart method. An integration module classifies geological-mechanical coupled lithofacies at a single-well level based on element difference data and integrate multi-type lithofacies prediction results. An analysis and determination module performs, by a well-seismic collaborative three-dimensional model of the geological-mechanical coupled lithofacies in the tight sandstone reservoir, characteristic extraction of the geological-mechanical coupled lithofacies, lithofacies classification feedback adjustment, and seismic attribute mapping, and determines geological-mechanical coupled lithofacies distribution information data of the tight sandstone reservoir.

A method for assessing the economic losses of buildings due to earthquakes, considering the interaction between structure and nonstructure, belongs to the fields of earthquake engineering and structural seismic analysis. The method includes the following steps: Step S1, establishing a building performance model; Step S2, determining the seismic hazard level: selecting the ground motion intensity index IM, and determining three intensity levels—minor, moderate, and major—as target hazard levels based on the seismic fortification intensity of the site; Step S3, establishing a three-dimensional structure-nonstructure coupled finite element model; Step S4, performing nonlinear time history analysis and obtaining engineering requirement parameters; Step S5, establishing a building collapse vulnerability function; Step S6, calculating residual displacement and determining whether the damage is repairable or not; Step S7, calculating economic losses based on the theory of total probability; Step S8, interaction contribution coefficients and modeling decisions. This invention improves the accuracy of earthquake economic loss assessment results.