10 results about "Bulk modulus" patented technology

This invention belongs to the field of advanced metallic materials manufacturing, and relates to the design and preparation method of a high-plasticity Mg-Sn-Al magnesium alloy. First, a candidate system of Mg-xSn-yAl alloys is established. First-principles methods based on density functional theory are used to perform VCA modeling on each candidate composition and calculate elastic constants. Combined with the Voigt-Reuss-Hill model, parameters such as bulk modulus B, shear modulus G, Poisson's ratio, Pugh ratio, and Cauchy pressure are obtained. Using a Poisson's ratio greater than 0.36, a Pugh ratio greater than 3.4, and a Cauchy pressure greater than 18 GPa as screening criteria, the composition range of the high-plasticity alloy is determined to be Mg-(1-3.2)Sn-(0.7-0.8)Al (wt.%). Subsequently, alloy plates are prepared through melting and casting, hot extrusion, staged rolling, intermediate annealing, and pulsed current post-treatment, and tensile property testing and microstructure characterization are performed. The results show that the selected alloys have superior plasticity, with the Mg-3.2Sn-0.79Al alloy achieving an elongation of 15.6%. This invention enables rapid screening and preparation of high-ductility magnesium alloys, which can reduce trial-and-error costs and improve alloy design efficiency.

The embodiment of the application relates to the technical field of seismic exploration, and discloses a brittle prediction method, device, equipment and medium for a rock reservoir, the prediction method comprising the following steps: based on well logging data of a target rock reservoir, a target layer section of the target rock reservoir is constructed according to rock components and rock physical characteristic parameters, so as to construct a rock physical model for representing the relationship between the volume modulus, shear modulus, rock density and the content of main brittle minerals of the rock; a model of a brittle indicator factor is constructed according to the rock physical model and the change of the content of the main brittle minerals, the brittle indicator factor being used for representing the relative brittle degree of the rock mass; and the brittle indicator factor is converted into actual brittleness for representing the actual brittle degree of the rock mass. The brittle prediction method disclosed by the application fully utilizes the rock physical characteristic analysis of the target rock reservoir to analyze the influence of the brittle minerals on the brittle prediction, and effectively improves the rationality and accuracy of the rock brittle prediction.

This application relates to a method for calculating the internal pressure and output force of a hydraulic muscle using multi-factor coupling, comprising the following steps: obtaining the initial geometric parameters and rubber material parameters of the hydraulic muscle; constructing a multi-factor coupled output model based on the initial geometric parameters and rubber material parameters; and obtaining the input parameters of the hydraulic muscle, including the internal pressure data of the hydraulic muscle at the previous moment, the hydraulic oil input flow rate data at the current moment, the length data at the current moment, and the equivalent bulk modulus of elasticity data. This method, by constructing a multi-factor coupled output model, achieves high-precision calculation of the internal pressure and output force of the hydraulic muscle, significantly improving the physical realism of the simulation results. Furthermore, the initial geometric parameters and rubber material parameters required for model construction can be obtained by consulting product manuals or through simple measurements, solving the core pain points of existing data-driven methods, such as poor versatility and high calibration costs.

This invention discloses a method, apparatus, electronic device, and program product for predicting transverse and longitudinal wave velocities in rocks. The method includes: obtaining the porosity, density, and volume contents of quartz, clay, carbonate rocks, and pyrite in a marine-continental transitional shale rock; determining the equivalent matrix elastic modulus based on the porosity and the volume contents of quartz, clay, carbonate rocks, and pyrite; determining the volume modulus and shear modulus of the organic matter framework based on the volume modulus and shear modulus of the main phase material and the volume contents, volume modulus, and shear modulus of inclusions; obtaining the volume modulus and shear modulus of the shale matrix minerals based on the equivalent matrix elastic modulus, the volume modulus and shear modulus of the organic matter framework; and determining the volume modulus and shear modulus of the shale under saturated fluid conditions by mixing fluids, shale matrix minerals, and hard pores and fractures. This method can accurately predict transverse and longitudinal wave velocities.

The present application relates to a kind of double-scale full-band petrophysical modeling method, which is according to the inversion of target area rock P-wave and S-wave velocity, obtains the distribution of rock soft porosity and soft pore aspect ratio under different pressure;According to the distribution of rock soft porosity and soft pore aspect ratio, the frequency-dependent rock wet skeleton considering all aspect ratio soft pore jet flow effect is calculated using jet flow model;The frequency-dependent rock wet skeleton is brought into the frequency-dependent bulk modulus model of patch-saturated rock, and the petrophysical model considering micro and macro scale wave-induced flow effect is obtained.The present application comprehensively considers the influence of micro jet flow effect and mesoscale patch saturation, simulates the dispersion attenuation phenomenon caused by complex pore structure and complex fluid distribution of actual rock, and is more in line with the pore structure and fluid distribution in actual reservoir rock.

The application provides a fluid bulk modulus parameter extraction method, a fluid identification method, equipment and a medium, wherein the parameter extraction method comprises the following steps: dividing a seismic gather into at least three angle intervals, selecting a typical angle for each interval, and obtaining a corresponding partial stack for each interval; obtaining an elastic impedance curve and a curve of K f , f m and p for each typical angle from well logging data; performing elastic impedance inversion on the elastic impedance curve and the partial stack to obtain elastic impedance data of the typical angle; extracting wellside elastic impedance data from the corresponding elastic impedance data body by well logging; constructing a calculation relationship by using the curve of K f , f m and p and the elastic impedance curve of each typical angle, and bringing the curve of K f , f m and p and the wellside elastic impedance data into the calculation relationship to extract fluid bulk modulus. The technical scheme of the application can improve the resolution of the elastic impedance data body, reduce fluid identification artifacts, and improve the drilling rate of fluid inversion.

This invention discloses a method and apparatus for shale rock physical modeling. The method includes: determining a maturity index curve based on kerogen maturity correlation curves; determining the density, bulk modulus, and shear modulus curves of kerogen based on discrete data of kerogen modulus and the maturity index curve; determining the porosity curves of organic and inorganic matter based on the adsorbed gas and free gas content curves and the maturity index and density curves of kerogen; determining the dry rock density, P-wave and S-wave velocities, and shear modulus curves based on the density, bulk modulus, and shear modulus curves of kerogen, clay minerals, and other minerals, as well as the total porosity curve, and the porosity curves of organic and inorganic matter; and determining a shale rock physical model based on the dry rock density, P-wave and S-wave velocities, and shear modulus curves, and the bulk modulus and density curves of the mixed fluid. This method enables the reasonable establishment of a shale rock physical model based on the changes in organic matter during the maturation process.

This application belongs to the field of reservoir logging evaluation technology, and discloses a method, system and equipment for calculating reservoir water saturation. The method includes obtaining the formation P-wave velocity V0. p and transverse wave velocity V s Based on the longitudinal wave velocity V p and transverse wave velocity V s Calculate the bulk modulus K and shear modulus μ of saturated fluid rock; calculate the bulk modulus K of the rock skeleton of saturated fluid rock. m and shear modulus μ m ; Calculate the bulk modulus K of saturated fluid rock without fluid. d and shear modulus μ d Based on K, K m and K d Calculate the bulk modulus K of pore fluid in saturated fluid rocks. f Based on K f A water saturation model is constructed to achieve quantitative calculation of reservoir water saturation. The method in this application considers the different mineral contents and matrix porosity variations in the reservoir, achieving high calculation accuracy and providing a new approach for the quantitative evaluation of water saturation in complex reservoirs with low resistivity and low contrast.

The application discloses a metamaterial with vanishing shear modulus and a topological optimization design method thereof, and belongs to the technical field of aerospace structures and advanced material design. The method comprises the following steps: establishing a design domain of a periodic cell and discretizing the design domain; constructing a topological optimization mathematical model with a relaxation function as an optimization target, converting a problem of maximizing a volume modulus to shear modulus ratio which is difficult to directly process into a weighted optimization problem which can be stably solved; combining an energy-based homogenization method to predict equivalent performance, and iteratively solving by using an improved moving asymptote method and a new floating projection function; and outputting a geometric model with clear boundaries through error verification and parameterized reconstruction. The application can design novel metamaterials with high B / G ratio, such as two-dimensional quasi-single mode / dual mode and three-dimensional quasi-triple mode, ensures seamless connection from optimization design to additive manufacturing, and provides an innovative material design solution for high-performance vibration isolation and acoustic regulation components in the field of aerospace.

A closed-loop correction method for rebuttal verification of wellbore rock mechanics parameters for wellbore stability evaluation is disclosed, relating to the fields of oil and gas drilling engineering, well logging interpretation, wellbore stability evaluation, and rock mechanics parameter interpretation. The method acquires well logging data, formation data, pressure data, drilling fluid density data, wellbore diameter data, strength data, and drilling anomaly data for the target well section, establishing an initial vector; it calculates the theoretical instability margin and the measured wellbore condition. When theoretical instability is determined but the measured wellbore is intact, it calculates the gated inconsistency strength by combining wellbore diameter stability and anomaly exclusion factors, initiating constrained rebuttal verification correction if the condition is met. Through candidate parameter generation, sensitivity ranking, empirical envelope, continuity constraints, and a joint objective function, it outputs the corrected static Young's modulus, Poisson's ratio, shear modulus, bulk modulus, and confidence level indicator; when all candidates are eliminated, the initial parameters are output as a low-confidence reference. The correction results are used for wellbore stability evaluation and drilling fluid density window calculation.