16 results about "Lithosphere" patented technology

The invention discloses a background noise body wave extraction method and device based on distributed optical fiber acoustic sensing, and the method comprises the steps: obtaining an original phase difference signal along an optical fiber channel through a distributed optical fiber acoustic sensing system, and converting the original phase difference signal into strain rate data according to system demodulation parameters; performing preprocessing such as noise suppression and frequency energy balance on the strain rate data; calculating an autocorrelation function for the preprocessed signal, and superposing autocorrelation results of a plurality of time segments; performing band-pass filtering on the superposition autocorrelation function in a target frequency band, and extracting a body wave reflection response in background noise; and in order to eliminate the influence of the zero-time pulse in the shallow layer or weak reflection signal, carrying out mean value removal processing on the extraction result along the space direction to obtain a zero-offset body wave reflection response. The method can effectively describe the discontinuity from a superficial sedimentary layer and a fracture to a deep mourhua surface and even a lithosphere, and makes up for the defects of a conventional seismic station method.

The application provides a method and system for predicting the richness of an oil and gas bearing basin using lithospheric thickness, wherein the method comprises: calculating a lithospheric thickness characteristic parameter of the oil and gas bearing basin using geological data of the lithosphere of the oil and gas bearing basin; using a curve to fit the relationship between the thickness characteristic parameter and the total geological resource oil equivalent to obtain a function relationship; and evaluating the total geological resource oil equivalent of a target oil and gas bearing basin using the function relationship. The application uses a curve to fit the relationship between the total normalization factor of the lithospheric thickness of the oil and gas bearing basin as the x-axis variable and the total geological resource oil equivalent of the corresponding oil and gas bearing basin as the y-axis variable, realizes the function relationship fitting between the total normalization factor of the lithospheric thickness of the oil and gas bearing basin and the total geological resource oil equivalent, can more intuitively show the relationship between the lithospheric thickness characteristic and the geological resource oil equivalent, and better evaluates and compares the energy potential of different basins.

This invention discloses a method for inverting the effective elastic thickness of the lithosphere based on intelligent truncation and inflection point matching, applied to a processor. The method includes the following steps: reading gridded topographic data and Bouguer gravity data stored on a hard disk or in memory to obtain the observation curve of coherence as a function of wavenumber; obtaining the monotonically decreasing coherence spectrum after truncation; solving for the logarithmic wavenumber corresponding to the coherence value at a preset value, denoted as the observed inflection point logarithmic wavenumber; establishing a mapping relationship between the theoretical inflection point logarithmic wavenumber and the effective elastic thickness; obtaining the effective elastic thickness of the lithosphere at the target grid point; traversing all grid points within the study area to generate a full-grid effective elastic thickness distribution array, thus obtaining the inversion result of the effective elastic thickness of the lithosphere. This invention significantly improves computational efficiency, achieves robust noise suppression while preserving the effective signal, and exhibits strong noise robustness.

The application discloses a background noise body wave extraction method and device based on a distributed optical fiber acoustic sensing, and the method comprises the following steps: acquiring an original phase difference signal along an optical fiber channel by using a distributed optical fiber acoustic sensing system, and converting the original phase difference signal into strain rate data according to system demodulation parameters; performing noise suppression, frequency energy equalization and other pretreatments on the strain rate data; calculating an autocorrelation function of the pretreated signal, and superimposing autocorrelation results of multiple time segments; performing band-pass filtering on the superimposed autocorrelation function in a target frequency band, and extracting a body wave reflection response in the background noise; in order to eliminate the influence of a zero-time pulse in a shallow layer or a weak reflection signal, performing a mean removal processing on the extraction result along a space direction, and obtaining a zero-offset body wave reflection response. The method can effectively depict discontinuities from a shallow sediment layer, a fracture to a deep Moho surface and even a lithosphere, and makes up for the shortcomings of a conventional seismic station method.

This invention proposes a method for assessing the distribution and reserves of natural hydrogen on the seabed, relating to the field of seabed hydrogen energy exploration. It proposes a solution for assessment using numerical simulation, combining favorable zones for natural hydrogen on the seabed. Before conducting seabed observations, it studies potential distribution areas based on anomaly characteristics and numerical simulations to identify favorable targets, thereby effectively reducing exploration costs and improving detection accuracy. For identified serpentinized areas, it simulates material migration, deformation, and heat transfer processes by constructing continental and oceanic lithosphere models to obtain the serpentinization process of mantle peridotite and the correspondence between mantle peridotite serpentinization and hydrogen production. Through the analysis of typical profiles of several tectonic units, it establishes the relationship between crustal thickness and serpentinization quality under different environments, ultimately predicting the distribution and resource quantity of seabed hydrogen in the identified areas.

The present invention relates to a method for calculating the cover effect in the modeling of petroleum systems, comprising: obtaining input lithospheric and sedimentary data; discretizing the model differently in the sedimentary and lithospheric domains; starting the calculation of the cover effect; verifying whether the deposition time corresponding to each sedimentary layer is greater than the present time and whether the basin age is greater than the deposition time corresponding to each sedimentary layer, by refraining from carrying out the method;the verification of whether the deposition time corresponding to each sedimentary layer is less than or equal to the present time and whether the age of the basin is less than or equal to the deposition time corresponding to each sedimentary layer and the verification of whether it is in the collapse period, in which: if it is in the collapse period, the calculation of the collapse; if it is not in the collapse period or if it is after the collapse calculation stage, the calculation of the sedimentation; in the collapse period, the calculation of the advective vertical displacement velocity due to lithospheric thinning for each XY coordinate; the calculation of the fluid flux; the use of finite elements to perform calculations at each instant in time; the performance of the addition of the thermal effect of the lithospheric and sedimentary domains at each time stage.

The present application belongs to the technical field of geophysical exploration and basin analysis, and provides a lithospheric thermal structure inversion method based on physical constraints and event identification. The method builds physical constraint conditions including rheological constraints of the lithosphere, isostatic compensation constraints and thermodynamic consistency constraints, establishes a layered lithospheric thermal conduction model, solves the transient heat conduction equation by using the finite difference method, realizes automatic identification of tectonic events and parameter initialization by using a machine learning regression model, builds a multi-objective loss function and performs global optimization by using a differential evolution algorithm, and finally evaluates the parameter uncertainty by using the Monte Carlo method. The method solves the problems of strong multi-solution, lack of physical rationality and low calculation efficiency of traditional inversion methods, and realizes efficient and reliable inversion of lithospheric thermal structure parameters.

The present invention relates to a method for obtaining a stability window by applying multiscale numerical modeling (sedimentary basin-well) capable of estimating with greater accuracy the in-situ state used in well-scale analysis. Specifically, the present invention proposes modeling steps that treat the geomechanical analysis for well drilling projects as a multiscale analysis, with the possibility of including tectonic effects and physical couplings observed at larger scales (sedimentary basin, regional or lithospheric) in well-scale simulations. In general, the modeling is performed through the direct application of seismic data and the calculation of the overload to determine the parameters and boundary and initial conditions of the simulation, that is, without directly connecting the well-scale modeling with the larger geological context.

A method includes determining a present-day thickness of a lithosphere. The method also includes determining whether the determined present-day thickness of the lithosphere substantially matches an interpreted present-day thickness of the lithosphere. The method also includes generating or updating a temperature history model in response to determining that the determined present-day thickness of the lithosphere substantially matches the interpreted present-day thickness of the lithosphere.

The invention provides a method and system for estimating the current earth heat flow of a rift valley basin, and the method comprises the steps: analyzing the tectonic settlement history of a basin to be researched according to observed tectonic settlement data, and determining a corresponding earth heat flow target function; setting upper and lower boundaries and corresponding temperatures to establish a two-dimensional geologic model corresponding to the basin lithosphere, establishing a characteristic model of strain rate changing along with time and space based on the two-dimensional geologic model, and calculating a velocity field of lithosphere deformation based on the characteristic model; determining evolution characteristics of the basin lithosphere thermal structure based on the obtained velocity field; and calculating earth heat flow data according to the evolution characteristics of the lithosphere thermal structure. According to the scheme, the problems that in the prior art, dependence on land drilling operation is high, and reliability is insufficient are solved, the current earth heat flow of the rift valley basin is estimated through the settlement amount of the drilling structure, and efficient and accurate calculation of the earth heat flow is achieved.

The application relates to a method for improving the imaging precision of deep reflection seismic data. The method comprises the following steps: performing first pre-stack depth migration on an initial depth domain layer velocity model and a common center point gather to obtain a first pre-stack depth migration profile and a pre-stack depth migration gather; picking a seed point by using the first pre-stack depth migration profile, picking residual curvature by using the pre-stack depth migration gather, performing velocity inversion on the initial depth domain layer velocity model according to the seed point and the residual curvature to obtain an optimized layer velocity model; performing second pre-stack depth migration on the optimized layer velocity model to obtain a second pre-stack depth migration profile; and if the migrated layer velocity converges, the second pre-stack depth migration profile is the imaging of the deep reflection seismic data. The scheme provided by the application can better improve the imaging precision of the deep rock structure and reveal the deep tectonic characteristics of the lithosphere.

The method includes: obtaining geophysical profile / slice data of a longitudinal wave velocity, geophysical profile / slice data of a transverse wave velocity, terrestrial heat flow data, and global crus

The invention discloses a lithosphere magnetic field vector weakly-varying region earthquake prediction method and system, and belongs to the field of earthquake geomagnetic field precursor anomaly detection. Lithosphere magnetic field data is acquired, horizontal and vertical vectors are extracted, a vector mean value is calculated according to grids, a Molchan chart method is adopted to evaluate prediction efficiency and reversely extract a threshold value, a low-value region is screened to generate weakly-varying region data, and the weakly-varying region data is extracted. According to the method, the limitation of single component analysis is overcome, objective evaluation of prediction efficiency and automatic extraction of a threshold value are realized, the corresponding relation between the fault property and the vector feature is established, and the accuracy of earthquake occurrence site prediction is remarkably improved.

The invention belongs to the technical field of geophysical exploration and basin analysis, and provides a lithosphere thermal structure inversion method based on physical constraint and event recognition, which comprises the following steps of: constructing physical constraint conditions including lithosphere rheological constraint, equilibrium compensation constraint and thermodynamic consistency constraint; the method comprises the following steps: establishing a layered lithosphere heat conduction model, solving a transient heat conduction equation by adopting a finite difference method, realizing automatic identification and parameter initialization of a construction event by utilizing a machine learning regression model, constructing a multi-objective loss function, performing global optimization by adopting a differential evolution algorithm, and finally evaluating parameter uncertainty by adopting a Monte Carlo method; the problems of strong multiplicity, lack of physical rationality, low calculation efficiency and the like of a traditional inversion method are solved, and efficient and reliable inversion of the lithosphere thermal structure parameters is realized.

The invention discloses a lithosphere thermal structure parameter rapid inversion method and system based on physical constraint and dynamic sample generation, and belongs to the technical field of geophysical exploration. Aiming at the problems of low calculation efficiency, high multiplicity and insufficient physical constraint of a traditional inversion method, the method comprises the following steps: firstly, constructing a physical constraint model based on a transient heat conduction equation; then dynamically generating a large number of synthetic training samples under the driving of the model; training a multi-output regression machine learning model by using the sample data to establish a mapping relation from the multi-source geophysical observation data to the thermal structure parameters; and finally, realizing minute-level parameter rapid inversion and uncertainty quantization through the trained model. The method is mainly used for efficient and reliable inversion of the lithosphere thermal structure in oil-gas exploration and geothermal resource evaluation.

The application provides an evaluation method for favorable exploration targets of submarine hydrogen energy in an ultra-extended tectonic environment, and belongs to the field of submarine hydrogen energy exploration and development. The application integrates an evaluation index system for inorganic serpentinization hydrogen generation mechanism in a "hydrogen source-migration-reservoir-seal-thermal structure" five-in-one manner, so as to achieve the design purpose of significantly reducing exploration cost and risk and providing an industrialization target optimization tool for submarine hydrogen energy exploration of an ultra-extended passive continental margin. Specifically, by using existing seismic data and regional geological conditions, combining with geological environment and favorable reservoir-seal combination conditions required for submarine hydrogen energy generation, and aiming at tectonic units with hydrogen generation capacity in different basins, the development range of serpentinization is determined by comprehensively analyzing tectonic environment, extension, lithospheric change, large-scale detachment fault and deep fault characteristics, identifying upper and lower crust thickness and Moho depth, and combining temperature field and seismic reflection anomaly.