Abstract: The invention relates to the field of tourism risk prediction, and particularly to a high land tourism safety risk warning method based on reinforcement learning, comprising: step S1, storing a tourism data set in a historical time period of a tourist site in a database, and based on the database, initializing a tourism risk warning indication function Q and a risk target function T; step S2, based on a tourism risk assessment factor sequence and combined with the selected tourism data set in the historical time period, training the tourism risk warning indication function Q and the risk target function T; and step 3, combined with an input time parameter and the trained tourism risk warning indication function Q, obtaining a warning action under the time parameter, and obtaining a risk assessment rank of the tourist site.

Abstract: A method for calculating a sensitivity of a displacement of Synthetic Aperture Radar (SAR) along line-of-sight direction to a slope gradient and a slope aspect is provided, comprising: obtaining SAR data and Digital Elevation Model (DEM) data covering slope bodies, and extracting a local incident angle of an image by utilizing a satellite side-looking imaging principle; carrying out geometric distortion on the slope bodies under ascending and descending orbits by utilizing the local incident angle, to obtain specific locations of geometric distortion areas under ascending and descending orbit; calculating sensitivities of detections to changes of the slope gradient and the slope aspect under ascending and descending orbits according to the extracted parameter information of the SAR satellite in ascending and descending orbits and satellite heights, and dividing a sensitivity distribution by combining the sensitivity and the specific locations of the geometric distortion.

Abstract: The present disclosure relates to the field of geophysical processing methods for oil and gas exploration, and more particularly, to a method for gas detection using multiple quantum neural networks. A plurality of stratigraphic and structural seismic attributes are extracted from the seismic data of a target horizon, and input seismic characteristic parameters are divided into different classes by using an unsupervised learning and supervised learning combined quantum self-organizing feature map network. Gas detection is then performed using a particle swarm optimization based quantum gate node neural network with clustering results of various seismic characteristic parameters output by the quantum self-organizing feature map network as inputs.

Abstract: The present invention relates to a radiation source orientation technology. The invention discloses a method for optimizing the orientation performance of radiation source orientation system, which comprises the following steps: establishing a radiation source orientation matrix; obtaining the non-zero singular value of the orientation matrix; classifying orientation noise that affects the radiation source orientation system according to the distribution characteristic of noise energy; determining the optimal orientation matrix of the radiation source orientation system according to the minimum non-zero singular value ?min of the orientation matrix and its number of array elements m; determining the optimal orientation array according to the non-zero singular value of orientation matrix considering the distribution of different noise energy. The invention lays a foundation for the optimal design of a non-planar array in a radiation source orientation system.

Abstract: A design method for a personalized drill bit for a complex difficult-to-drill formation includes: S1, acquiring rock drillability indexes of a drilled formation; S2, performing digital simulation analysis of rock breaking of bit teeth and a composite rock breaking experiment of a ring gear and a drill bit, and establishing a mechanical model of the rock interaction at the bottom of a well; S3, establishing an integrated dynamics model of drill string-drill bit-rock system coupling; S4, designing a tooth shape, a tooth distribution density, a crown shape and a gauge protection structure for rock mechanics properties of a complex difficult-to-drill formation; S5, optimizing bit nozzle and hydraulic structure parameters by using the computational fluid dynamics theory and the numerical simulation method; S6.

Abstract: A numerical simulation and parameter optimization method for volumetric fracturing of an unconventional dual medium reservoir includes the following steps: based on the theory of dual-medium pore elasticity, in consideration of the friction effect between fractures, developing a viscoelastic-plastic damage model of hydraulic fractures based on explicit time integral; simulating random intersection and bifurcation of hydraulic fractures encountering with natural fractures by adopting a method of embedding zero-thickness fracture units in the inner boundaries of computational model grids, and establishing a mathematical model of hydraulic fracture expansion of volumetric fracturing in the unconventional dual-medium reservoir; compiling a finite element program for complex multi-fracture fracturing and competitive expansion during volumetric fracturing of the unconventional reservoir, and establishing a hydraulic fracturing finite element model of a casing-cement ring-perforation hole in cluster-reservoir matrix

Abstract: Disclosed are a simulation platform and a simulation method for leakage detection and treatment. The simulation platform includes a water tank open at the top, which is a holding device; simulation sand, which is laid at the bottom of the water tank, and the upper area of the simulation sand is the experimental water filling area for filling simulation water; a leakage simulation device, which is buried in the simulation sand; a plurality of electrodes, which are distributed on the simulation sand for collecting and sending potential and current signals to a data processing terminal; a hydraulic brake, which is arranged in the experimental water filling area and used for stirring the simulation water; the hydraulic brake is not turned on in the static water environment simulation, and is turned on in the dynamic water environment simulation.

Abstract: An automatically-cleanable thickening performance evaluation instrument for drilling LCMs includes a cleaning device, a kettle body, a thickening motor, a heating component, a test ending component, a top cover, and a bottom cover, where upper and lower ends of the kettle body are both opened; the kettle body is arranged in a third bearing inner race, a third bearing outer race is connected to a first limb, and the first limb is configured to limit a position of the kettle body; and the kettle body is detachably connected to the thickening motor and driven by the thickening motor to rotate. The instrument can realize electric heating and air pressurization to simulate the underground environment, and the kettle body can be completely sealed, such that a measured thickening time is close to an actual thickening time. Moreover, the instrument can be automatically cleaned at the end of a test.

Abstract: The present invention discloses a method for proppant suspension and suspension parameter optimization based on bubble bridge effect, comprising: select a proppant and hydrophobically modify its surface to obtain a hydrophobically surface-modified proppant; prepare a bubbly fracturing base fluid; make the first optimization of the base fluids according to the average radius of the proppant and the average radius of the bubbles of the base fluids; optimally select the base fluids selected for the second time according to the interaction energy between the proppant particle and the bubble after the hydrophobically surface-modified proppant mixed with the base fluid; the basic parameters of the bubbly fracturing base fluid selected at the third time were used for the perfect selection for proppant suspension. The present invention establishes a procedure on experimental evaluation and parameter calculation optimization by suspending fracturing proppant with the bubble bridge effect on the hydrophobic surface.

Abstract: The present invention relates to an anti-adhesion crushing tool for crushing damp ores. The anti-adhesion crushing tool can effectively improve the current working environment in attapulgite crushing, and is beneficial to effectively improve the anti-adhesion properties of the attapulgite clay.

Abstract: The present application relates to method for computing the factor of safety of a slope including the following steps. Step 1: input parameters of a slope. Step 2: formulae a formula of stability number N into a target function and determine constrained conditions of geometric parameters ? and ?. Step 3: obtain a minimum stability number N. Step 4: determine a position of a critical slip surface. Step 5: transform the critical slip surface defined by ?, ? and n into a critical slip surface defined by R, xc and yc, and compute overturning moments of slid masses above and below external water level of the critical slip surface. Step 6: resolve an equivalent unit weight. Step 7: resolve the factor of safety FS.

Abstract: A tempo-spatial evolution test system for rock breaking in deep and complex environment includes an acoustic emission sensor assembly and an acoustic emission amplifier assembly that are arranged on a rock mechanics test system. A triaxial cavity coupling bracket is arranged on an outer wall of the triaxial cavity and between two sets of acoustic emission sensor assemblies. The triaxial cavity coupling bracket includes a plate-shaped bracket, two sickle-shaped brackets, and at least three bracket bolts, which can be tightly wrapped on the outer wall of the triaxial cavity. A lateral side of the plate-shaped bracket vertically fixes two guide columns. The acoustic emission amplifier assembly is arranged between the two guide columns and is located above the plate-shaped bracket, and the acoustic emission amplifier assembly is connected to the acoustic emission sensor assembly through a signal line.

Abstract: A method for monitoring large deformation of a surrounding rock of a tunnel based on an automatic targeting and ranging system includes: acquiring, by a camera module, a target monitoring image; identifying a center image position in the target monitoring image; performing, by a laser ranging module, an automatic targeting and ranging task according to the center image position; and calculating a deformation offset of each target of left wall targets, right wall targets and a vault target based on an automatic targeting and ranging result corresponding to the target. The method solves the problem that a laser ranging device fails to measure a target at a fixed angle and obtains a real and accurate deformation offset thereby greatly improving the reliability of the large deformation monitoring result of the surrounding rock of the tunnel.

Abstract: A dynamic damage evaluation instrument of drilling fluid based on a glass core includes a controller and a support. A kettle body is provided on the support, a well for receiving drilling fluid is provided inside the kettle body, and a well cover is provided at an upper end of the kettle body. A core holding assembly communicating with the well is provided at a side of the kettle body, and a metering assembly is movably provided at the other end of the core holding assembly. A stirrer for stirring drilling fluid is provided inside the well, and a power component for driving the stirrer is provided outside the kettle body. A data detection hole for mounting a temperature and pressure sensor and a pressurization hole for mounting a pressurization device are formed on the well cover.

Abstract: The present invention discloses an optimization design method for volumetric fracturing construction parameters of an infilled well of an unconventional oil and gas reservoir. The method comprises the following steps: S1, establishing a three-dimensional geological model with physical and geomechanical parameters; S2, establishing a natural fracture network model through integration of rock core-logging-seismic data; S3, generating old well hydraulic fracturing complex fractures based on the natural crack model; S4. establishing a three-dimensional shale gas reservoir seepage model; S5, establishing a three-dimensional geomechanical model; S6, analyzing and calculating a dynamic geostress field; S7, establishing a numerical model for horizontal fracturing complex fractures in the infilled well based on the calculation results of old well complex fractures and dynamic geostress; and S8, performing optimization design on volumetric fracturing construction parameters of the infilled well.

Abstract: A high-resolution processing method for seismic data based on inverse multi-resolution singular value decomposition includes the steps of: step 1: obtaining a single-trace seismic signal X as a raw signal; step 2: decomposing the seismic signal by using MRSVD algorithm to obtain a series of detailed singular values and inversely recursing the detailed singular values layer by layer to obtain a new detailed signal and an approximate signal; and step 3: sequentially superimposing the new detailed signal on the raw signal, layer by layer, to compensate the high-frequency component of the seismic signal so as to obtain a high-resolution seismic signal.

Abstract: An unmanned aerial vehicle (UAV)-based intelligent anomaly identification method for petroleum pipeline inspection is provided. The precise UAV cruise technology is combined with a target detection algorithm to design an intelligent petroleum pipeline inspection method, which realizes fast anomaly detection for petroleum pipeline inspection based on the existing computer processing capability. In addition, a lot of optimization algorithms and improvements are made for target detection under special working conditions of UAV inspection, and a dedicated target detection network model adapted to these conditions is trained. The UAV-based intelligent anomaly identification method realizes accurate, real-time anomaly reporting for petroleum pipeline inspection, reduces the blindness of manual inspection, greatly improves inspection efficiency, reduces labor costs, and has practicability.

Abstract: An all-optical optical parametric oscillator includes a laser module, a temperature control module, a plurality of filters and a beam splitter arranged in sequence. A bulk material or waveguide material is arranged in the temperature control module. Both ends of the bulk material are provided with a first OPO cavity mirror M1? and a second OPO cavity mirror M2?. Each of the first OPO cavity mirror M1? and the second OPO cavity mirror M2? is coated with a high-reflectivity film with respect to an OPO signal light and an OPO idler light, and coated with a high-transmittance film with respect to an OPO pump light, a poling fundamental frequency light and a poling frequency doubled light. The temperature of the material is changed by changing the temperature of the temperature control module to realize temperature tuning of wavelength ?s of the OPO signal light and wavelength ?i of the OPO idler light.

Abstract: A method for estimating the depth-domain seismic wavelets from depth-domain seismic data and synthesizing depth-domain seismic records. The method includes: obtaining depth coordinates and P-wave velocity v and density from well log, calculating a corresponding reflectivity series r; performing constant-velocity depth conversion for a seismic trace S and a reflectivity series r by using a velocity vc as a reference velocity to obtain the converted seismic trace S1 and the converted reflectivity series r1; and estimating a depth-domain seismic wavelet w based on the Gibbs sampling method; synthesizing depth-domain seismic record by using the P-wave v, the reflectivity series r and the estimated depth-domain seismic wavelet w.

Abstract: An all-optical optical parametric oscillator includes a laser module, a temperature control module, a plurality of filters and a beam splitter arranged in sequence. A bulk material or waveguide material is arranged in the temperature control module. Both ends of the bulk material are provided with a first OPO cavity mirror M1? and a second OPO cavity mirror M2?. Each of the first OPO cavity mirror M1? and the second OPO cavity mirror M2? is coated with a high-reflectivity film with respect to an OPO signal light and an OPO idler light, and coated with a high-transmittance film with respect to an OPO pump light, a poling fundamental frequency light and a poling frequency doubled light. The temperature of the material is changed by changing the temperature of the temperature control module to realize temperature tuning of wavelength ?s of the OPO signal light and wavelength ?i of the OPO idler light.