67 results about "Rock tapaculo" patented technology

The invention provides a double-structural surface direct shear test method for researching sliding type rockburst mechanism. The method comprises the following steps: manufacturing a rock sample with a square cross section; successively forming double parallel structural surface by the rock sample under a brazilian split condition; performing 3D scanning on the double parallel structural surface, thereby acquiring a three-dimensional digital model of the double parallel structural surface and calculating roughness thereof; putting the rock sample onto a shear tester, mounting an acoustic emission monitoring probe on the bottom lateral surface, and performing direct shear test on the sample under normal stress condition while monitoring an acoustic emission signal of the rock test piece; collecting the shearing time, shearing stress, shearing displacement and acoustic emission signal data in the shear test process; accordingly analyzing the sliding type rockburst mechanism of the rock sample. According to the invention, a simplified rock system with mutual effect and mutual influence of structural surface and rock is constructed in a laboratory, so that a more reliable test method can be supplied for researching, early warning for and forecasting the sliding type rockburst mechanism.

The invention discloses a method for acquiring micro-scale rock elastic modulus and yield strength parameters. The method includes: using a micron-scale indenter to carry out a rock micron indentation experiment, obtaining a load-displacement curve during the loading process, and combining the indentation experiment formula to obtain the elastic modulus of the rock under different displacement conditions; carrying out micro-CT on the rock sample Scan to establish a finite element mesh model of the rock skeleton in the indentation area; use the elastic modulus obtained from the micron indentation experiment as an input parameter to simulate the rock uniaxial compression process, obtain the overall elastic modulus of the model and compare it with the core uniaxial compression experiment , determine the indentation depth RVE that effectively characterizes the micron elastic modulus of the rock; then, carry out the numerical simulation of rock sample indentation experiments under different yield strength conditions, and compare and verify the loading and unloading load-displacement curves obtained from the simulation with the indentation experiments , so as to determine the yield strength of the rock at the micron scale.

The invention belongs to the technical field of rock sampling, and provides an automatic field rock sampling system and its working method, which solves the great limitations of sampling work, and at the same time, the obtained samples often have irregular shapes and small volumes that contain information. For limited problems, it has a high degree of automation and can conveniently collect rock samples in various terrain areas. Among them, the field rock automatic sampling system includes a drone and a drilling system, the drilling system is mounted on the lower part of the drone; Man-machine flight, the reaction force propeller is used to provide drilling pressure for the drilling system to sample the target rock in the dangerous zone.

A kind of CO 2 The evaluation method of the leakage risk area during the geological storage process uses the principle of sedimentary microfacies constraint, how to obtain the rock mechanical parameters of the caprock, and select a suitable fracture pressure prediction model to evaluate the mechanical sealing of the caprock, using fine geological models and numerical values. Model, applying reservoir numerical model theory, and in-depth study of CO through the established storage volume numerical model 2 Injection process until storage for 200 years to store pressure and CO in the body 2 Dynamic changes in saturation. Using the concepts of fluid potential and potential gradient in oil and gas migration theory combined with CO 2 Saturation dynamic distribution analysisCO 2 migration direction and accumulation area, and then according to the CO in the storage body 2 The migration direction and distribution characteristics of the storage body and sand body boundary are combined to conduct lateral CO 2 Leakage risk prediction; Based on the rupture pressure distribution characteristics of the caprock and the dynamic distribution characteristics of the pressure in the storage body, CO is quantitatively studied through the proposed identification formula of the caprock rupture risk area. 2 Possible leakage risk areas longitudinally along the migration path. This method is used in low permeability reservoir CO 2 It has important practical application value to achieve safe and efficient carbon sequestration during oil displacement.

The invention discloses a section rock sampling device for studying biofossil belts, which comprises a base, an elevating ladder and a box body arranged on the top of the elevating ladder, and a power drive mechanism, a drilling mechanism, a sampling mechanism and a visual sensor are mounted in the box body , the base is equipped with a display controller electrically connected with the power drive mechanism, the drilling mechanism, the sampling mechanism and the navigation mechanism. The present invention can accurately sample the mountain section presenting the biofossil belt, and use a small electric drill to excavate a cylindrical rock sample on the rock, and then use the gripper of a manipulator to take it out. For chip samples, the present invention can ensure the integrity of the samples to the greatest extent, and can also obtain larger volume samples, which is more convenient for studying biological fossil belts in rocks. In a word, the rock formation sampling device of the present invention has the advantages of high flexibility, strong adaptability, and high sampling integrity.

The invention relates to an all-in-one machine suitable for rock true triaxial, dry-wet cycle, and acoustic emission tests, including: a test accommodation mechanism, a top lifting mechanism, a lateral telescopic mechanism, a bottom lifting mechanism, an acoustic emission mechanism, and a test accommodation mechanism Including base, bracket, barrel-shaped reaction force thick wall, oven cover, top axial pressure plate, bottom axial pressure plate, several lateral axial pressure plates, top lifting mechanism is fixed with oven cover, top axial pressure plate, lateral The telescopic mechanism is fixed to the lateral axial pressure plate, the bottom lifting mechanism is fixed to the bottom axial pressure plate, and the acoustic emission mechanism is arranged on the bottom lifting mechanism, and sends sound waves into the accommodating space. The invention realizes the fixing of the rock in the three-axis direction, can simulate the dry-wet cycle, detects the rock, and is helpful for geological research.

The invention relates to a method for excavating or inserting cavities in mountains, in which method the cavities (2) are melted frontally by means of an electric plasma generator. In order to generate in such a method an energy density sufficient to completely or partially vaporize the existing rock on the front of the cavity (2), the invention proposes that a thermal protection shield (4) is arranged directly on the front of the cavity (2), which heat The protective cover and the front face of the cavity (2) form a dynamic pressure chamber (7), in which the temperature is adjusted to be higher than 2000°C by heating with a plasma generator (8) at a pressure greater than 2 bar. This energy supply is sufficient to melt, completely or partially vaporize and expel the rock located in front of the cavity (2) from the cavity (2).

The invention relates to a production method of healthy drinking water, which comprises (1) setting up a ditch on the hillside, setting a creek trough without a top along the trough, and laying tourmaline and tourmaline-like sand on the bottom of the trough; Rocks, so that when the water flows through, small waterfalls and flat streams are formed like mountain streams; (2) On the hillside, plants that are harmless to the soil and water are planted to form a forest environment, and the forest environment will not block the sunlight at the creek; (3) Flow pure water into the creek, so that the water flows through the entire creek for no less than 20 minutes; (4) Filter and sterilize the water flowing out of the creek in order to obtain healthy drinking water. The drinking water obtained in the invention meets people's requirements on the health quality of drinking water. At the same time, the invention has strong applicability, can be implemented all over the country, can be produced on a large scale, has a wide range of water sources and low cost, has great prospects for popularization and application, and fundamentally solves the problems of drinking water safety and drinking water health.

A method of predicting model parameters (R1, R2, R3, . . . ) of a geological formation under investigation, wherein said geological formation is distinguished by reservoir parameters including observable data parameters and the model parameters (R1, R2, R3, . . . ) to be predicted, comprises the steps of calculating at least one model constraint (M1, M2, M3, . . . ) of the model parameters (R1, R2, R3, . . . ) by applying at least one rock physics model (f1, f2, f3, . . . ) on the model parameters (R1, R2, R3, . . . ), said at least one model constraint (M1, M2, M3, . . . ) including modelled data of at least one of the data parameters, and applying an inverse model solver process on observed input data (d1, d2, d3, . . . ) of at least one of the data parameters, including calculating predicted model parameters, which comprise values of the model parameters (R1, R2, R3, . . . ) which give a mutual matching of the input data and the modelled data, wherein the modelled data are provided with probability distribution functions, the inverse model solver process is conducted based on the probability distribution functions, wherein multiple predicted values of the model parameters are obtained comprising values of the model parameters (R1, R2, R3, . . . ) which give the mutual matching of the input data and the modelled data, and model probabilities of the predicted model parameters are calculated in dependency on the probability distribution functions.