11 results about "Elastic anisotropy" patented technology

The application discloses a kind of terrestrial shale oil cross-scale dynamic stress-strain elastic simulation method and system, the elastic simulation method includes: constructing multiple lamination type digital rock physics model;Simulate dynamic stress-strain value;Characterize the elastic anisotropic response characteristics;Based on the lamination type identification of well logging, seismic data.More accurately simulate the elastic behavior of rock under different scales, and provide an important tool and perspective for cross-scale rock physics research.

The present application belongs to the technical field of material calculation and high-throughput screening, and particularly relates to a kind of ABN2 type silicon nitride sintering aid thermal conductivity prediction screening method. Wherein, the prediction method comprises: obtaining ABN2 type nitride data, screening stable structure according to formation energy threshold value;Adopt "labeled training-unlabeled prediction" phased strategy, utilize graph neural network to fill in the missing B and G;Introduce the improved Slack model based on elastic anisotropy structure correction factor fs Calculation of lattice thermal conductivity κ. The screening method is based on the predicted κ value, and the thermal performance of silicon nitride ceramic is sorted according to the regulation and control requirements of output. The present application designs the correction factor for the strong anisotropic structure characteristics of ABN2 type nitride, significantly improves the prediction accuracy of thermal conductivity, and greatly improves the data coverage by machine learning to fill in the parameters, forming a complete high-throughput screening scheme from parameter filling, thermal conductivity calculation to sintering aid application output.

The present invention belongs to the technical field of seismic inversion and provides a seismic inversion method and system for an equivalent medium with two groups of orthogonal vertical cracks. The method comprises: deriving an effective elastic stiffness matrix of an ORT weak anisotropic medium formed by the two groups of orthogonal vertical cracks, and obtaining a linearized PP wave reflection coefficient based on scattering theory and the perturbation stiffness matrix; then proposing a Bayesian azimuthal seismic inversion method for the effective elastic ORT anisotropic medium based on anisotropic perturbation of the PP wave reflection coefficient and an iterative reweighted least squares algorithm, solving a posterior probability distribution function of the model parameters, and finally achieving the characterization and estimation of the weakness parameters of the two groups of orthogonal vertical cracks.

The present application belongs to the technical field of oil and gas geophysical exploration, and in particular to a seismic rock physics modeling method for describing the roughness degree of vertical fractures. The method comprises the following steps: S1: quantitative characterization of the rough fracture flexibility parameter; S2: establishment of a rock physics model containing a group of vertically oriented rough fracture media; S3: calculation of the rough fracture parameter; S4: revealing the mechanism of the response of the rough fracture density and roughness characteristics to the rough fracture flexibility parameter; S5: analysis of the overall elasticity and anisotropy response characteristics of the rock; S6: clarification of the elastic anisotropy response mechanism of the rough fracture-containing rock; S7: calculation of the azimuthal anisotropy response characteristics; and S8: determination of the azimuthal anisotropy response mechanism of the vertically oriented rough fractures in the rock. The present application provides an effective technical means for determining the seismic rock physics response mechanism of the rough fracture-containing rock and developing the well and seismic inversion method of the rough fracture parameter.

The embodiments of this specification provide a method, device and storage medium for calculating anisotropic parameters. The method includes: calculating the predicted velocity value corresponding to each candidate geological parameter through a pre-constructed rock physics model; if the comparison result between the predicted velocity value and the measured velocity value meets the error judgment condition, retaining the corresponding candidate geological parameter; using the rock physics model to perform inversion to obtain the inversion parameter for the retained candidate geological parameter; lowering the ambient temperature and repeating the above operations of calculating the predicted velocity value, judging the error judgment condition, and inversion until the ambient temperature drops to the preset minimum temperature; and calculating the anisotropic parameter by combining the inversion parameters at different ambient temperatures. The above method stably and efficiently predicts the content of different types of pores, fracture aspect ratio and elastic anisotropy in the target area, thereby providing instructions and references for subsequent oil and gas storage capacity assessment, accurate velocity modeling, and analysis of geological sweet spots and engineering sweet spots.

The invention discloses a material elastic constant array ultrasonic in-situ detection method, and belongs to the technical field of ultrasonic nondestructive testing and material characterization. The method comprises the following steps: carrying out primary orthogonal coding data acquisition on a detected material, determining a refraction point under a preset elastic anisotropy constant C of the detected material based on the Fermat theorem, and carrying out delayed superposition imaging on a reflector in a target area of the detected material by adopting a synthetic aperture focusing or full-focusing algorithm, and calculating the ratio F (C) of the maximum amplitude value of the synthetic image to the entropy value of the image as an evaluation objective function, and obtaining an optimal elastic constant corresponding to the global maximum value of the F (C) by adopting optimization tools such as a genetic algorithm, namely the elastic constant of the detected material. The array ultrasonic device is used for one-time orthogonal coding data acquisition, the detected material and the ultrasonic probe do not need to be moved or rotated for many times, the detection efficiency is improved, the method is not affected by the parallelism and thickness uniformity of the surface interface of the detected material, and in-situ, lossless and rapid detection of the elastic constant of the complex component in a service environment can be achieved.

This specification provides an anisotropic rock physics modeling method and device. The method includes: obtaining the volume fraction of each mineral in the target mineral layer and the pore content of the target pore type, wherein the target mineral layer includes at least one of the following: a clastic mineral layer and a carbonate mineral layer; determining the elastic stiffness matrix of the clastic mineral layer and the carbonate mineral layer according to the volume fraction and pore content of each mineral; determining the target elastic stiffness matrix according to the elastic stiffness matrix of the clastic mineral layer and the elastic stiffness matrix of the carbonate mineral layer; determining the anisotropy parameter of the core sample according to the target elastic stiffness matrix; determining the target mineral content and the target pore content, and determining the elastic anisotropy of the core sample according to the anisotropy parameter, the target mineral content, and the target pore content. Based on the above method, anisotropy can be determined more accurately, thereby improving the precision and accuracy of seismic imaging, well logging interpretation, and seismic quantitative prediction.

The invention relates to the field of seismic data processing, in particular to an elastic anisotropic wave field separation method based on a vector pure qP wave equation. In order to solve the problem of qP / qSV wave crosstalk caused by polarization mismatch or scalar approximation under the condition of strong anisotropy in the prior art, the invention provides a novel vector wave field separation method, which specifically comprises the following steps of: performing synchronous forward modeling on a complete elastic wave field and a vector pure qP wave field, and performing vector comparison and elimination processing on the complete elastic wave field and the vector pure qP wave field to obtain a vector wave field; therefore, a high-fidelity and crosstalk-free pure qP wave component and a corresponding residual wave field are obtained. According to the method, high-fidelity longitudinal and transverse wave decoupling with clear physical significance and no pseudo transverse wave interference can be realized without depending on polarization direction estimation.

A connection structure (1) includes: a first structure (10); and a second structure (20) that is detachably connected to the first structure (10), the first structure (10) has a first insertion portion, the second structure (20) has a second insertion portion that is detachably fitted to the first insertion portion, at least one of the first insertion portion and the second insertion portion is a periodic structure having an elastic anisotropy that is different in different directions, when a direction in which the first insertion portion and the second insertion portion are fitted to each other is defined as a first direction and a direction orthogonal to the first direction is defined as a second direction, the elasticity in the second direction of the anisotropic elastic structure is greater than the elasticity in the first direction of the anisotropic elastic structure.

This invention discloses a forward modeling method for seismic elastic waves based on a generalized viscoelastic wave equation. The method includes: determining viscoelastic parameters; establishing a generalized viscoelastic wave constitutive equation containing the viscoelastic parameters, wherein the constitutive equation describes the relationship between stress and strain over time; introducing an Earth medium attenuation factor to transform the constitutive equation into a constitutive relation describing the relationship between the elements of the stress tensor and strain tensor, wherein the coefficients in the constitutive relation contain P-wave and S-wave operators; correcting the P-wave and S-wave operators in the constitutive relation using a correction factor; simultaneously solving the geometric equation describing the geometric relationship of an object during deformation, the equation of motion describing the motion of an object under stress, and the corrected constitutive relation to obtain the wave equation in a viscoelastic anisotropic medium; and obtaining the forward modeling results of seismic elastic waves by solving the wave equation.

This invention presents a multi-parameter full-waveform inversion method for anisotropic media incorporating uncertainty analysis. The method includes: establishing an initial model for each independent elastic modulus in a transversely anisotropic medium with a tilted axis of symmetry; performing forward numerical simulation using the initial model of elastic modulus to obtain a synthetic seismic dataset; calculating the data residuals between observed and simulated seismic data; deriving the maximum a posteriori solution based on a Bayesian probabilistic system; and iteratively updating the model parameters and posterior covariance matrix for the next frequency from low to high frequencies using an iterative extended Kalman filter, with the inversion result of the previous frequency serving as the initial model for the next frequency, until the calculated frequency value reaches a set maximum frequency value and the final data residuals meet the accuracy requirements. This invention solves the existing problems of multi-parameter inversion and quantitative estimation of uncertainties in elastic anisotropic media.