88results about How to "Reduce experimental workload" patented technology

The invention relates to a method for reconstructing a unknown nanophase Bravais lattice by single crystal electron diffraction patterns, comprising the following steps of: selecting a characteristic parallelogram from an obtained nanophase single crystal electron diffraction pattern; measuring electron diffraction data of nanophase, and determining vector of an intersection line of two 2D (two-dimensional) reciprocal surfaces; solving lattice parameters of a reciprocal lattice after 3D (three-dimensional) reconstruction; selecting a 3D reciprocal primitive cell, and performing reduction process to obtain the reciprocal Bravais lattice of a unknown crystal. In the invention, a transmission electronic microscope and a double-tilting sample stage thereof are adopted, and the electron diffraction technology is adopted to resolve the Bravais lattice of a unknown crystal only by any two continuously tilted orthodiagonal single crystal electron diffraction patterns in situ of the nanophase crystal, so the invention can be used for determining Bravais lattice and parameters of any crystal system. The adopted electron diffraction technology comprises selected area electron diffraction pattern and electron diffraction pattern. The invention is particularly suitable for the situations incapable of simultaneously obtaining a plurality of single crystal electron diffraction patterns.

The invention relates to a test method and a test device for obtaining saturated solubility and diffusion coefficients of a solid solute in a liquid phase simultaneously. According to solute mass conservation law and Archimedes law in the process of dissolution, a physical model in the process of dissolving the solid solute is established and mathematical description of the physical model is determined so as to establish an experiment characterization method and a measurement device. In the test method and the test device, the saturated solubility and the diffusion coefficients of the solid solute in the liquid phase at a certain temperature and under certain pressure are calculated from the measured real-time dissolved amount through a specific inversion model (physical and mathematical model). The test device has the advantages of simple operation, short measuring time and capability of measuring large quantity of data; and the solubility and the diffusion coefficients are obtained simultaneously, and the measured data can be verified mutually, so the measuring accuracy is improved and the data consistency is ensured well.

The invention provides a method for representing an oil-water relative permeability curve under the condition of different driving displacement pressure gradients, and belongs to the technical field of reservoir engineering in oil development. The method comprises the following steps that (1) different driving displacement pressure gradients are exerted on a group of rock cores with identical or similar permeability to obtain the relative permeability experiment data of each rock core, then, a permeability curve corresponding to each rock core is made according to the relative permeability experiment data, and next, the relative permeability curve corresponding to each rock core is subjected to normalization processing to obtain an oil-water relative permeability curve corresponding to each rock core; (2) the statistical laws on the water phase maximum relative permeability, the oil displacement efficiency and the pressure gradient are fit out according to the relative permeability experiment data, and the water phase maximum relative permeability and the residue oil saturation degree under different pressure gradients can be solved; (3) a characteristic curve equation of the relative permeability curve corresponding to each rock core is solved.

The invention discloses an experiment device for research on the corrosion behavior of a metal substrate beneath a peeling coating. The experiment device comprises an epoxy resin plate, an organic glass plate, a plurality of work electrode, at least one auxiliary anode, a plurality of reference electrodes, a plurality of needle tubes, a plurality of lead wires, a plurality of bolts, a steel pipe, gaskets, a voltmeter, a constant potential rectifier, an electrochemical tester, and a stray current source. In the provided equipment, the organic glass plate and epoxy resin plate are used to simulate the medium environment beneath a peeling coating, wherein a gap exists between the organic glass plate and the epoxy resin plate, and the gap thickness can be controlled by adjusting the number of gaskets; multiple work electrodes are arranged on the damaged parts and different positions beneath the peeling coating to simulate the metal substrates on the damage parts and positions beneath the peeling coating. Only one experiment device can carry out many indoor experiments on the corrosion behavior of metal substrate under factors of stray currents, gap thickness, and cathode protection potential, and the like.

The invention discloses a differential evolution algorithm based multi-layer frequency selection surface composite wave-absorbing structure and material optimum design method. The method includes: performing mutation and crossover operations by the aid of the different evolution algorithm; subjecting the composite structure to modeling calculation by the aid of electromagnetic simulation software and feeding back calculated results to a program to complete the operations; searching and generating an optimum model reaching the objective function and optimal structure parameters and material materials in variant fields. By the differential evolution algorithm based multi-layer frequency selection surface composite wave-absorbing structure and material, the model can be optimized in structure parameters, and a new material with the optimal ratio can be obtained through the differential evolution algorithm according to an original absorber and the electromagnetic parameters on the substrate. The optimum design method has the advantages that design cycle is short, and the composite wave-absorbing structure and material low in reflection coefficient, wide in frequency band and thin in thickness can be obtained rapidly.

The invention provides a sintering ore burdening method. The method comprises the following steps of: calculating a liquid phase quantity and temperature relationship of a sintering burdening scheme by adopting thermodynamic calculation software Factsage, determining an undetermined scheme according to the liquid phase quantity and temperature relationship, then obtaining a melting shrinkage rate and temperature relationship of the undetermined scheme through a melting characteristic test experiment, and finally judging whether the undetermined scheme belongs to a reasonable scheme according to an initial melting temperature of the undetermined scheme and the fit degree of the liquid phase quantity and temperature relationship and the melting shrinkage rate and temperature relationship. The method of the invention greatly reduces the experiment workload and the labor intensity, overcomes the defect of burdening sintering ores simply by means of subjective experience, can intuitively and accurately reflect the liquid phase generating property of a sintering process, and has small experimental error and good experimental reproducibility compared with a traditional sintering cup experiment; and a sintering burdening scheme obtained by judging the data fit error is suitable for guiding the practical production.

The invention discloses a method for high-throughput screening of a maize reference gene. The method comprises the following steps: by using a high-throughput transcriptome sequencing (RNA-seq) database which is sourced from different maize inbred lines with high diversity, different tissues and different developmental periods and is constructed after different stress treatment, analyzing the expression conditions of a whole transcriptome massively; screening a gene of which the expression is the most constant in the different developmental periods and under different conditions as the reference gene, and providing an accurate comparison for the study of transcriptome expression. The method disclosed by the invention is used for analyzing all the expressed genes of the whole transcriptome by using data of the whole transcriptome, is used for systematically screening the maize reference gene, and is more accurate and reliable compared with a conventional screening method.

The dynamic software defect positioning technology is always a research hot spot in the field of software testing, and more possibilities are provided for the development of the technology based on the proposal of the neural network defect positioning method. However, the collection and processing of mass data for training the neural network model have no unified process and tool all the time, sothat many work results of the precedent are difficult to reuse or cannot be reused. The invention provides an Excel & VBA-based data collection and processing automation tool and a use method thereof.The Excel & VBA-based data collection and processing automation tool comprises a data collection module, a data sample marking module, a data cleaning module and a data conversion module, code execution information in a large number of gcov files can be automatically collected, an original code execution information data set is generated, and then a standard data set for training of a neural network is generated through automatic cleaning and conversion processes. By using the tool provided by the invention, collection and processing work of mass data in a defect positioning experiment can bereduced, repeated work is avoided, and the overall experiment efficiency is improved.

The invention relates to a lotus leaf stem imitative cylinder around flow drag reduction test model. The test model comprises a support, a supporting rod, a fixing supporting rod and three lotus leaf stem imitative test model bodies. The support is used as a carrier of the lotus leaf stem imitative test model bodies and other accessories, the supporting rod is used for fixing the test model into a wind tunnel or a water tunnel so as to be connected with an external device at the same time, the fixing supporting rod is used for fixing the lotus leaf stem test model bodies and connected with the support through bolts, and the three lotus leaf stem imitative test model bodies are connected and fixed between the support and the fixing supporting rod through bolts, so that the drag reduction effect of the lotus leaf stem imitative test model bodies and the condition of a flow field behind the lotus leaf stem imitative test model bodies are conveniently tested.

The invention discloses a method for determining the gelatinization temperature and gelatinization degree of starch. In the method, according to a principle that starch has a crystal structure which produces a birefringent light phenomenon under polarized light, an IOD (integral optical density) value and an OD (optical density) value of an acquired microscopic digital photo are analyzed by usingprofessional image analysis software Image-proplus, and then the gelatinization degree of the starch is obtained through conversion. Compared with the traditional method, the method disclosed by the invention is scientific, simple, convenient and quick, and can characterize starch granules in a partially gelatinized state, therefore, the true situation in a sample gelatinization process can be reflected better, and obtained results are accurate and reliable; meanwhile, the higher-density observation of the starch under a microscope is realized, the experiment workload is reduced, and the results have high statistical significance.

A method for predicting the friction coefficient of lubricants using special additives according to chemical structures mainly includes the steps of firstly, generating the chemical structure of lubricant friction reducing additive molecules used for modeling in chemical software; secondly, optimizing the chemical structure; thirdly, calculating the structural parameters of each additive molecule; fourthly, mathematically preprocessing the average friction coefficient obtained by the friction experiment of the lubricant using one additive to obtain the magnitude of the friction coefficient; fifthly, using regression to building a quantitative prediction model between the magnitude of the friction coefficient and the structural parameters; sixthly, cross verifying the prediction model; seventhly, calculating the sensitivity of each structural parameter influencing the magnitude of the friction coefficient according to the prediction model, and speculating the optimal structural features of the lubricant additives; eighthly, predicting the average friction coefficient of the lubricant used under the influence of one additive. By the method, the lubricant additive development efficiency can be increased.

The invention discloses an underground water phreatic water evaporation measuring system and method based on an internet of things technology. The phreatic water evaporation measuring system comprises a Mariotte bottle, a lifting machine, a soil column, a gravity sensor, evaporation strength control equipment, a data collecting and transmitting device and terminal equipment. The phreatic water evaporation measuring system based on the internet of things technology disclosed by the invention achieves automatic recording, transmission and checking at any time of experiment data and greatly reduces experiment work amount; a high-accuracy sensor in the phreatic water evaporation automatic measuring system improves measuring accuracy; by means of taking effects of underground water mineralization degree on phreatic water evaporation into consideration, a phreatic water evaporation model is further corrected, and the phreatic water evaporation model is more suitable for an evaporation process of phreatic water in an area where underground water mineralization degree is higher. The system disclosed by the invention can simulate effects of different underground water levels, evaporation strengths and underground water mineralization degrees on phreatic water evaporation and is suitable for phreatic water evaporation of stratified soil and homogeneous soil.

The invention discloses a multi-methylation specific PCR primer design method and system. The method comprises the steps: setting parameters according to user requirements, designing and screening primers for a target methylation site, pairing the screened multiple methylation site primer pairs in pairs, checking the compatibility, selecting a maximum number of compatible multiple primer combinations, evaluating the designed multiple primer combinations, and determining whether the primers need to be redesigned. According to the invention, multi-methylation specific PCR primer design of a super-long sequence can be realized, secondary structures such as dimer / hairpin and the like between the interiors of a single pair of primers and between multiple pairs of primers can be effectively reduced, and non-specific amplification in a genome can be effectively reduced, the designed primers are high in specificity, the operability and accuracy of the multiplex methylation specific PCR experiment testing process are improved, and the working efficiency is greatly improved.

The invention provides a method for predicting the wear resistance of lubricating base oil according to chemical structures. The method includes steps of 1), generating three-dimensional chemical structures of molecules of the lubricating base oil; 2), minimizing energy of the three-dimensional chemical structures; 3), computing an EVA (evaluation of an infrared vibration-based descriptor) parameter of each three-dimensional chemical structure; 4), preprocessing wear surface data of a friction pair sample after the lubricating base oil is applied to the friction pair sample; 5), performing regression on the EVA parameters and the wear surface data by means of partial least squares, and establishing a relationship between the preprocessed wear surface data and the EVA parameters so as to create a quantitative prediction model; 6), performing cross validation on the prediction model; 7), predicting the wear area of the friction pair sample according to the created prediction model when the lubricating base oil is applied to the friction pair sample in an experimental state. The method has the advantages that a computer-aided design process is introduced into the field of lubricating oil design for the first time on the basis of the quantitative structure-tribo-ability relationship, the method is beneficial to reducing lubricating oil design risks and research cost, and the lubricating oil development efficiency can be greatly improved.

The invention relates to a sampling device for exhaust particles of an engine. The sampling device is characterized in that a lower cover is arranged inside a casing pipe of a base and can move up and down; an upper cover and the lower cover are automatically compacted by springs; and filter paper installing plates are arranged between the upper cover and the lower cover. When the springs are compressed, the upper cover, the filter paper installing plates and the lower cover are sealed; exhausts of the engine inflow, the exhaust particles are filtered by filter paper, and the exhausts outflowthrough the lower cover and the casing pipe of the base; the multiple filter paper installing plates are arranged on the same turntable; the turntable can rotate around a fixing shaft parallel to themiddle axes of the upper cover and the lower cover; when a certain amount of particles are collected, the springs are compressed again so as to lead the upper cover, the filter paper installing plates and the lower cover from being separated; the turntable is rotated so that the installing plates, in which clean filter paper is placed, are rotated between the upper cover and the lower cover; and after the springs are loosened, the filter paper sealing is realized again for carrying particle sampling. The sampling device has the characteristics of having simple structure, being convenient to operate and being capable of realizing the online connection and replacement of the filter paper.

The invention discloses a method for determining optical element support parameters. The method comprises determining the number of the least support points capable of ensuring the surface shape accuracy as the optimum number, and calculating the ideal supporting force of the support points; defining the fluctuation levels of different supporting forces according to the ideal supporting force, calculating the surface shape change of a lens caused by a random supporting force under the different supporting force levels; finding and examining the random distribution rule of the surface shape distortion of the lens, and constructing the mapping relationship between different supporting force levels and the imaging quality of the optical element; and determining the fluctuation range of the supporting force according to the quality control specification. Based on the Monte Carlo method, the random distribution rule of surface shape distortion of the lens under action of a nonuniform supporting force can be analyzed so as to analyze the influence of different random supporting force levels on the imaging quality of the optical element, thereby determining a reasonable supporting force fluctuation range, and providing effective reference data for design, installation and debugging of an optical element support system.

The invention discloses a self-elevating platform wave current loading experimental data acquisition apparatus and method. The technical scheme includes a pool (1), a self-elevating platform (2), a stress strain gauge combination (3), a triaxial vibration acceleration sensor (4), an acoustic emission sensor combination (5), a wave height sensor (6), a data acquisition device (7), and a data processing display device (8). A mode for arranging a plurality of sensors at the same time is employed. Multiple groups of experiment results can be obtained after one experiment is finished, and the multiple experiment results can be mutually verified. The experiment workload is greatly reduced on the basis of guarantee of the experiment result reliability. The problem of synchronous acquisition of each sensor can be well guaranteed. All environment data in an experiment process is collected completely and once. The precision of the wave current loading experimental data acquisition is greatly improved. The problems that the error of the experimental data is large and manpower and material resources are waste in the prior wave current loading experiment are solved.

The invention discloses a construction method of a blood platelet nucleic acid library for gene detection and a kit. A nucleic acid capturing probe comprises 5' end biotin modification, an amplification primer sequence P1, a sequencing connector sequence P5, a sample label sequence, a single-molecule label sequence and an Oligo (dT) sequence in sequence from 5'. The invention further provides thekit comprising the nucleic acid capturing probe and the construction method for the blood platelet nucleic acid library by utilizing the nucleic acid capturing probe. According to the construction method disclosed by the invention, the starting amount of blood platelets is greatly reduced, the blood platelets can be separated from less whole blood, and trace amplification and library constructionare directly carried out, so that requirements of liquid biopsy are met. Moreover, samples of different examinees can be mixed in the same reaction system, so that the flux of detection is improved; and the construction method and the kit have important clinical significance and practical value.

Disclosed is a resin process prediction device based on product performance and process data model which comprises the following steps: collecting a production process and process data; transforming characteristic value of the collected continuous change data; carrying out sampling inspection on batch products, and recording performance indexes and quality indexes of the batch products; respectively establishing neural network models for the production process data, the performance data and the quality data of the plurality of batches; evaluating and verifying the neural network model, and optimizing the neural network model; defining a search interval of a performance parameter, and searching data closest to the performance index in the search interval as a data set; according to the original parameter data in the data set, calculating a value interval of each process parameter; and searching from the lower limit of the interval, and calculating product performance indexes through the optimized neural network model to obtain a process parameter value interval. According to the invention, the problems of difficult optimization of the current production process and low efficiency of the formula experiment process are solved, and the product quality and the performance stability are improved.

The invention discloses an explosion loading device based on one-dimensional strain conditions. The explosion loading device comprises a loading module used for explosion impact, a constraint module for realizing one-dimensional strain and a measuring module used for experiment data collection, wherein the loading module comprises an exploder, explosives, a container and a medium used for uniformly transmitting an explosion load onto a test piece; the constraint module comprises a steel pipe, an upper metal plate and a lower metal plate; the steel pipe is provided with an observation window; and the measuring module comprises a support structure, a laser interference velocimeter used for measuring the movement speed of a back plate, a sensor used for measuring action pressure, a sensor used for measuring air overpressure, a high-speed camera used for observing a material compression process, a strain gage used for measuring the steel pipe deformation and an oscilloscope used for collecting data. The small-test-piece one-dimensional strain loading experiment on a brittle porous material can be realized, so that a local explosion loading experiment using big test pieces for meeting the one-dimensional strain loading conditions is avoided; the measurement on experiment parameters in the explosion loading process can be increased; and meanwhile, the test piece compression process can be observed.

The invention provides an experimental device and method for magnetic slurry crack grouting and filling, the experimental device comprises a steel truss, a crack seepage visualization device to be experimented and a camera are carried on the steel truss, the crack seepage visualization device is connected with a bottom slurry outlet of a multifunctional pressure grouting tank through a grouting pipe, and the camera is connected with the multifunctional pressure grouting tank. The top of the multifunctional pressure grouting tank communicates with a pressure pipe, and the pressure pipe communicates with an air pump. Establishing a flow track and a filling area rule of magnetic grout under the action of different grouting pressures, and establishing a crack grout grouting radial diffusion model; slurry matching parameters are provided for different types of crack grouting repair projects, better filling of the interior of the crack is achieved, and the cost is reduced while the repair quality is guaranteed.

The invention relates to a method for improving the interpretation accuracy of oil-bearing saturation in a tight sandstone oil reservoir. On the premise that the resistivity of rocks in the formation,the oil in pores and formation water in pores are different in magnitude, rocks and crude oil are regarded as high-resistance bodies, and low-resistance formation water is separated for separate study. The idea of (pore volume-formation water volume) / pore volume is used to study the oil-bearing saturation of the reservoir. According to the invention, a used pure oil layer and pure water layer canbe verified together through well logging, core and production; the oil and water layer data can be acquired based on ordinary core analysis, so that the experimental workload is greatly reduced; under the method provided by the invention, the experimental workload required for an oil saturation interpretation method is reduced, and the experimental technical requirements are low (without rock electric experiments required by the Archie formula in a laboratory); the experimental cost is reduced; and the method is suitable for true resistivity and each gradient resistivity, has simplified workload, and has great technical potential and economic value in the interpretation of the saturation of the tight reservoir.

The invention relates to a method for simulating and predicting a Langmuir volume and a Langmuir pressure of natural gas absorption by shale, which belongs to the technical field of gas pressure measurement or volume analysis materials. With the method, defects that a few of influence factors exist, the existing technology is not comprehensive, and the rationality and fitting precision of the model may be affected in the prior art can be solved. The method comprises: a Langmuir model is used for carrying out fitting on an isothermal absorption experiment; before modeling of a Langmuir volume and a Langmuir pressure, influence factors of the Langmuir volume and the Langmuir pressure are determined based on statistic analyses; after determination of all influence factors of the Langmuir volume and the Langmuir pressure, modeling is carried out by the way of weighting on all factors and an integrated prediction model is established; to be specific, the procedure is implemented by the two steps: constructing an objective function and a penalty function and carrying out model simulation and a prediction result analysis. According to the invention, the Langmuir volume and the Langmuir pressure can be simulated and predicted effectively; the work load of the experiment can be reduced; and the method has the positive significance in evaluation of shale resources and workability.

The invention discloses a high-temperature and high-pressure fluid solid-phase precipitation amount measuring device and method. The high-temperature and high-pressure fluid solid-phase precipitationamount measuring device takes a high-low temperature alternating test box and a volume-variable high-pressure reaction kettle with a stirring function as cores, and comprises a reaction kettle system,a stirring system, a sample transferring system and a measuring system. The high-temperature and high-pressure fluid solid-phase precipitation amount measuring device is characterized by: measuring the mass and solid phase mass percentage of an experimental fluid by configuring the experimental fluid to be measured; transferring a sample from the sample transferring cylinder to a reaction kettlein a pressure maintaining manner, and starting to cool the reaction kettle after sample transferring; after the experimental temperature is reached, discharging a certain amount of supernatant, measuring the mass of the supernatant and the solid-phase mass percentage at the temperature, and calculating to obtain the solid-phase precipitation amount at the temperature; and after the steps are repeated, a relation curve of the solid-phase precipitation amount and the temperature under the pressure can be obtained, and a relation curve of the solid-phase precipitation amount and the temperature under different pressures can be obtained by changing the pressure. According to the high-temperature and high-pressure fluid solid-phase precipitation amount measuring device and the method, the solid-phase precipitation amounts of the fluid at different temperatures, pressures and time can be conveniently determined, the experimental process is simplified, and the experimental data precision is improved.

The invention discloses a method for establishing an in-vitro detection model of chemical-induced human esophageal cancer. The method comprises the steps of: providing human esophageal epithelial cells inoculated in an in-vitro culture container; respectively applying the to-be-tested chemicals with a plurality of concentrations in a predetermined concentration range to the human esophageal epithelial cells for culturing for a predetermined time, and measuring a change curve of the cell viability of the human esophageal epithelial cells followed as the concentration of the to-be-tested chemicals; selecting a concentration interval of the to-be-tested chemicals corresponding to a predetermined cell viability range in the curve as a carcinogenic determination concentration interval, and selecting a plurality of concentrations in the carcinogenic measurement concentration interval as the carcinogenic assay concentration; respectively applying the to-be-tested chemicals with the carcinogenic assay concentration to the human esophageal epithelial cells to test the carcinogenicity test of the human esophageal epithelial cells by the to-be-tested chemicals.

The invention relates to the technical field of gene sequencing and bioinformatics, and provides a method for identifying microbial contamination in a second-generation targeted capture sequencing sample, a corresponding device for executing the method and a computer readable storage medium. The method comprises a targeted capture sequencing original data processing step, a human reference genomecomparison step and a serious microbial contamination judgment step, and further comprises a contaminated microorganism variety and content identification step in a sample. The method provided by theinvention can qualitatively identify whether serious microbial contamination exists in the sequencing sample or not, can further quantitatively identify the variety and content of contaminated microorganisms, and has important application prospects in sequencing and analysis of clinical samples.

The invention discloses a coal spontaneous combustion programmed temperature control system and method utilizing microwave heating, and the related coal spontaneous combustion programmed temperature control system comprises a heating mechanism, a coal sample bearing mechanism, an electric control mechanism and a gas collection and analysis mechanism; the heating mechanism is used for heating the coal sample in the coal sample bearing mechanism by utilizing a microwave generator; the electric control mechanism is used for controlling the heating power of the coal sample and the gas flow leading to the coal sample; and the gas collection and analysis mechanism is used for collecting a gas sample generated in the analysis process. The invention further relates to a coal spontaneous combustion program temperature control method utilizing microwave heating, the coal spontaneous combustion program temperature control method comprises the stages of coal sample filling, program heating, temperature control mode and the like; the ratio of the actual microwave heating effect to the industrial energy consumption is comprehensively considered, the frequency value of microwaves is set to be 2.45 GHz in the program heating stage, and the heating power value is set to be 1.2-1.6 kw in the program heating stage. The system and method are suitable for being used in coal spontaneous combustion characteristic research, it can be guaranteed that the coal sample is rapidly and evenly heated, the heating rate is controllable, and different experiment requirements can be met.

The invention relates to a method for testing the performances of a lithium ion battery of a farmland wireless sensor network node, and the method comprises the steps: designing a microstructure of a negative electrode material of the lithium ion battery at the level of a molecular structure; simulating and calculating the charging and discharging performances of the negative electrode material of the lithium ion battery according to the microstructure; simulating and calculating the thermostability of the electrode material of the lithium ion battery under preset extreme conditions; and evaluating the safety performance of the lithium ion battery according to the charging and discharging performances and thermostability of the negative electrode material of the lithium ion battery. The method simulates and calculates the charging and discharging performances of the negative electrode material of the lithium ion battery and the thermostability of the electrode material of the lithium ion battery under preset extreme conditions, so as to evaluate the safety performance of the lithium ion battery. The method can increase the speed of performance detection of the electrode material of the lithium ion battery, simplifies the detection process, reduces the experiment workload, and can reduce the requirements for the detection equipment, saves the experiment cost, thereby improving the accuracy of the detection result, and reducing the relative error.

The invention discloses a method for determining abrupt slope sand body type convergence ridge oil and gas reserves. The method comprises the following steps: determining the influence factors of the abrupt slope sand body type convergence ridge oil and gas reserves, wherein the influence factors comprise the convergence ridge sand body area, the hydrocarbon source rock hydrocarbon generation intensity, the convergence ridge amplitude, the convergence ridge porosity and the convergence ridge thickness; carrying out modeling on the determined five influence factors according to a weighting mode, and establishing a comprehensive prediction model of the five influence factors; simulating the established model, determining oil and gas reserves of steep slope sand body type convergence ridge, wherein the specific path is as follows: substituting five factors of the steep slope sand body type convergence ridge into a comprehensive prediction formula B = a (a1S3 + a2S2 + a3S1 + a4) + b (b1T3 + b2T2 + b3T + b4) + c (c1 theta 3 + c2 theta 2 + c3 theta + c4) + d (d1 phi 3 + d2 phi 2 + d3 phi + d4) + e (e1H3 + e2H2 + e3H + e4) established in the second step, and solving a value B, namely the determined oil and gas reserve of the steep slope sand body type convergence ridge. By means of the method, the deep abrupt slope sand body type convergence ridge oil and gas reserves can be effectively determined, the defect of few drilling data is overcome, and the experiment workload is reduced.

The invention provides a rock core feature size determination method and device applied to the field of data processing. The method comprises steps of obtaining a plurality of rock core numerical models with different diameters, and obtaining compressive strength through simulation, the sizes of all gravels in the rock core numerical models being a preset circular fixed particle size; establishing a fitting function of the relation between the rock core diameter and the compressive strength according to the compressive strength of the rock core numerical models with different diameters; and calculating the characteristic size of the rock core under the circular fixed particle size through the fitting function; obtaining the characteristic compressive strength corresponding to the rock core sample entity under the characteristic size. Therefore, during conglomerate stratum coring and field conglomerate core drilling sampling in the later period, the process is simplified; according to the characteristic size, core drilling sampling is carried out, a rock mechanics experiment is carried out, the obtained rock compressive strength is irrelevant to the conglomerate sample size, the compressive strength under the specific particle size in the actual stratum can be represented, the experiment workload of geologists is effectively reduced, and more reliable rock mechanics parameters are obtained.