207 results about "Volcanic rock" patented technology

The invention relates to the technical field of land treatment, in particular to an organic fertilizer for improving the soil fertility of a sand land. Comprising the following raw materials in parts by weight: 3-12 parts of a microbial agent, 20-50 parts of volcanic rock, 5-12 parts of an additive, 32-45 parts of sodium bentonite, 12-18 parts of a functional agent, 5-25 parts of a modifier and 15-32 parts of a water retention material. By increasing organic matters in the soil, the viscosity of the soil is improved, the air permeability, water retention and permeability of the soil are improved, the formation of a soil aggregate structure is promoted, and the water and fertilizer retention capability of the sand soil is improved.

The invention discloses a lithology generality joint feature classification model construction method, which relates to the technical field of intelligent geological prospecting, introduces a cross-scale feature alignment mechanism, and utilizes scale transformation factors to dynamically match the resolutions of macroscopic, mesoscopic and microscopic features, thereby avoiding feature distortion caused by direct fusion; for example, in a volcanic rock and sedimentary rock mixed area, rough texture of a remote sensing image originally conflicts with smooth response of a logging curve, but through alignment processing, the model can automatically balance credibility of different data sources, and misjudgment is reduced; inter-scale dependence modeling is further enhanced through introduction of the feature association graph, vertical sequence association of a thin interbed is captured through a graph structure, the boundary of a millimeter-level thin layer is made clear, and the problem of fuzziness caused by neglecting of interlayer interaction in an existing scheme is solved.

The invention relates to the technical field of composite fabric production, and provides an automatic raw material production device for volcanic rock fabric, the automatic raw material production device comprises a processing cylinder, a grinding hopper and a grinding roller are arranged in the processing cylinder, a part of the grinding roller is located outside the grinding hopper, and a cleaning brush in extrusion contact with the part, located outside the grinding hopper, of the grinding roller is arranged in the processing cylinder; the volcanic rock grinding device further comprises a knocking mechanism. The part, located outside the grinding hopper, of the grinding roller is cleaned through the cleaning brush so as to remove adhered volcanic rock powder, cleaning is conducted once after the grinding roller rotates by one circle, the grinding roller is always kept in the volcanic rock powder adhesion-free state, meanwhile, the grinding hopper is beaten through the knocking mechanism to vibrate, and the grinding roller is driven to rotate by the knocking mechanism. Volcanic rock powder cannot adhere to the inner wall of the grinding hopper under the vibration effect, and high-quality and high-efficiency grinding of volcanic rock is achieved.

The invention relates to the technical field of seismic exploration, and provides a five-dimensional seismic data prediction method and device. The method comprises the following steps: carrying out inclination angle imaging enhancement processing on five-dimensional seismic data; carrying out azimuth time window analysis based on the inclination angle imaging data, and calculating coherent attributes; carrying out gradient mode attributes on the basis of coherent attributes, and carrying out orientation attribute fusion; five-dimensional phase control step-by-step inversion is carried out under fusion attribute constraint; and predicting an oil and gas reservoir of the fractured volcanic rock based on an inversion result. According to the method, the fractured oil and gas reservoir is predicted based on the five-dimensional seismic data, interrelation between adjacent seismic traces is considered, and underground medium parameters are accurately obtained in combination with seismic sensitive attributes and a multi-trace inversion method, so that the problems that single attribute prediction is high in multiplicity of solutions and space description of a fracture system is not comprehensive enough are solved, and the prediction accuracy of the fractured oil and gas reservoir is improved. And meanwhile, the seismic inversion stability and continuity are improved, and high-precision fractured reservoir prediction is realized.

The invention provides a tuff identification method, device and equipment and a storage medium, and belongs to the technical field of geophysical exploration. The method comprises the following steps: based on logging curve characteristics of various lithologies in volcanic rocks, performing classification processing on logging data of a target area; generating an elastic parameter curve corresponding to each lithology based on the elastic parameters of each lithology in the classified logging data; selecting elastic parameters of at least two dimensions based on the elastic parameter curve to construct lithology identification factors; and identifying the tuff from the seismic data of the target area by using the lithology identification factor, and determining the distribution range of the tuff. Different lithologic characteristics and distribution rules of volcanic rocks are determined through well logging and earthquake rock physical characteristic analysis, the influence of tuff on reservoir prediction is reduced, sensitive factors for identification of the tuff are constructed on the basis of rock physical analysis, the multiplicity of solutions of volcanic rock prediction is reduced, and the lithologic characteristics of the volcanic rocks and the earthquake prediction precision of the reservoir can be improved.

The invention relates to a volcanic rock buried hill fractured oil and gas reservoir modeling method, which comprises the steps of S1, identifying fractures in imaging logging data according to the imaging logging data, analyzing occurrence characteristics of the identified fractures, grouping the fractures according to the occurrence characteristics, and explaining main control factors of fracture development in a target area; s2, based on the main control factors of the crack development of the target area, respectively constructing a crack development probability body for each main control factor, and fusing the crack development probability bodies controlled by other main control factors to form a crack development comprehensive probability body; s3, building a fracture density data body of each group of fractures by taking the bile meridian fracture linear density data of the grouped fractures as integration and taking the fracture development comprehensive probability body as a constraint condition; and S4, according to the statistical structure of the occurrence characteristics of each group of fractures, in combination with the corresponding fracture density data volume, establishing a fracture space distribution model.

The invention discloses a fly ash-based admixture and a preparation method thereof, and belongs to the technical field of building materials. The fly ash is used as a main body and cooperates with the slag, the steel slag and the volcanic rock powder, so that the utilization rate of industrial solid wastes is remarkably increased, the cement consumption is reduced, the hydration heat of the concrete is reduced, temperature cracks of mass concrete can be effectively inhibited, and meanwhile, the introduction of the volcanic rock powder further supplements active silicon-aluminum components, enhances the volcanic ash effect and improves the later strength; by introducing gypsum, the setting time can be adjusted, a sulfate excitation environment is provided, an early hydration reaction of a fly ash system is promoted, the problem that a traditional admixture is low in early strength is solved, concrete pores are filled through the micro-aggregate effect of the fly ash-based admixture, the structure is denser, and anti-permeability and mechanical properties are improved.

The invention relates to a volcanic institution identification method based on well-seismic combination and a neural network, and the method comprises the steps: 1, obtaining a volcanic institution profile two-dimensional picture data set of post-stack seismic data, and dividing the volcanic institution profile two-dimensional picture data set into training set data and test set data; obtaining a volcanic rock logging data set; step 2, based on the training set data, training a neural network mathematical model of a preset network architecture; step 3, inputting the test set data based on the trained neural network mathematical model, and identifying a volcano institution in a seismic section; 4, combining the identified volcanic institution profile with the volcanic logging data set to establish a fusion data set; and 5, based on the fused data set, establishing a CNN volcano institution classification network.

The invention discloses a mine high and steep slope ecological restoration integrated system based on double-response gel and an ecological restoration method. The system comprises a three-channel rotational flow mixing bin, a pulse atomization spraying device and an AI visual control system, gradient spraying of erosion-resistant, nutrition and water-retention three-level matrixes is achieved, pulse atomization and YOLO-v8 driven crack recognition are matched, and the problem of'jet flow attenuation 'of a slope with the angle being 70 degrees or above in a traditional process is solved. The method comprises the following steps: preparing a pH-temperature double-response sodium alginate-chitosan gel seed bag, spraying according to a sequence of 10-15cm of a water retention layer, 20-40cm of a nutrition layer and 10-20cm of an anti-erosion layer, and performing multispectral inspection by using an unmanned aerial vehicle to realize dynamic maintenance. The matrix system takes stone powder porous particles, activated fly ash and other solid wastes as raw materials, the resource utilization rate of mine solid wastes is effectively improved, and the matrix system is suitable for repairing complex slopes in coastal areas, volcanic rocks, cold areas and the like.

The invention relates to a volcanic rock, aerogel and graphene composite heat storage fabric and a preparation method thereof. The fabric comprises an inner layer, a composite middle layer and an outer layer which are sequentially arranged, the composite middle layer comprises a first supporting layer and a second supporting layer, the first supporting layer and the second supporting layer are concave parts and convex parts which are alternately connected, and a plurality of wrapping pieces are arranged on the inner walls of the concave parts of the first supporting layer and the second supporting layer in a bilateral symmetry mode. The composite aerogel layer is formed between the supporting strips, the wrapping piece wraps the supporting strips and the composite aerogel layer in a surrounding mode, and the vertical supporting piece supports the wrapping piece. The supporting strips, the composite aerogel layer, the wrapping pieces and the vertical supporting pieces are used in cooperation, so that the whole composite middle layer structure is more stable, the moisture absorption and heating performance of the composite heat storage fabric can be kept more durable, the composite heat storage fabric is resistant to washing, and the tear resistance and the down-proof performance of the composite heat storage fabric are remarkably improved.

The present invention relates to a component, device and process for a comparative cement-based sample for detecting the activity index of slag powder. The base sample includes the following weight ratios of each component: Portland cement clinker: citric acid slag: limestone: volcanic rock: fly ash: cement modifier = 24: 1.5: 1.8: 1.5: 1.2: 0.009; the attached moisture content of each group is less than 0.2%; Portland cement clinker: the content of C3S + C2S is 75.5% ± 0.5%, f-CaO: ≤ 1.0%, loss on ignition ≤ 1.0%, alkali content ≤ 0.6%, 3-day compressive strength ≥ 30 MPa, 28-day compressive strength ≥ 55 MPa; citric acid slag: SO3 content is 45% ± 1%; the present invention is reasonably designed, compact in structure and convenient to use.

The invention relates to the technical field of environmental engineering, in particular to a filler-replaceable artificial ecological wetland system and a construction method, and the filler-replaceable artificial ecological wetland system comprises modular filler units, a filler replacement track system, a water level control system, a biological membrane protection system, a monitoring feedback system and an intelligent control system. According to the artificial ecological wetland system capable of replacing the filler and the construction method, the modular filler units are filled with volcanic rock and activated carbon composite functional filler, and rapid replacement is achieved through the track system; the monitoring feedback system collects data such as permeability coefficient and pollutant concentration in real time, the intelligent control system generates a replacement instruction based on a machine learning algorithm, and the biological membrane protection system is combined to ensure the microbial activity in the replacement process, so that the problems of difficult replacement and fast treatment efficiency attenuation of traditional wetland filler are solved; the method is suitable for the scenes of urban sewage advanced treatment, rural non-point source pollution treatment and the like, and provides technical support for efficient and stable operation of the constructed wetland.

The invention provides a volcanic rock matrix-fracture dual-medium type oil reservoir oil layer evaluation method and system, and belongs to the technical field of geological engineering, oil reservoir processes and well logging interpretation. According to the method, a matrix porosity calculation chart is established through core scale logging, crack pores are added into an Archie sandstone conductive model to serve as conductive channels, the crack porosity is deduced, and finally, the matrix pores, the crack pores, the oil saturation and an oil testing result are combined to obtain the conductivity of the Archie sandstone. And the quantitative distinguishing method for the matrix-fractured dual-medium oil and gas reservoir oil layer is formed. According to the method, the gap of simultaneous research of the matrix and the crack is filled, the oil layer recognition precision is improved, the judgment standard is more strict and more reasonable, and the reliability is high.

The invention discloses a high-activity modified volcanic rock powder admixture and a preparation method thereof. The high-activity modified volcanic rock powder admixture is prepared from the following raw materials in parts by mass: 120-180 parts of volcanic rock powder, 20-40 parts of slag powder, 3-7 parts of quicklime powder, 5-18 parts of desulfurized gypsum, 3-5 parts of sulphoaluminate cement clinker and 0.4-1.2 parts of a grinding aid. The volcanic rock powder, the slag powder, the quicklime powder, the desulfurized gypsum, the sulphoaluminate cement clinker and the grinding aid are compounded, through modification, the activity index of the volcanic rock powder can be stably increased to 70% or above, the highest activity index can reach 85% or above, and the activity index of the volcanic rock powder is superior to that of II-grade fly ash for concrete; the modified volcanic rock powder can serve as a mixed material to be directly mixed with powder materials such as ground clinker and gypsum in a mixing mode to prepare portland pozzolana cement, the modified volcanic rock powder can also completely replace current II-grade fly ash to serve as an admixture to be applied to preparation of concrete, and the effect of the modified volcanic rock powder reaches and is superior to that of the original II-grade fly ash.

The application discloses a low-carbon-source denitrification method, and belongs to the technical field of sewage treatment. The method comprises the following steps: mixing FeSO4 and FeCl3 solutions; adjusting the pH value of the mixed solution to 10-12 to generate iron oxide precipitate; mixing the iron oxide precipitate with volcanic rock at a weight ratio of 100:1, and heating and drying the mixture at 200-300 DEG C to prepare a biological carrier; using the prepared biological carrier to treat effluent from a biochemical secondary sedimentation tank in a treatment unit; performing backwashing after the treatment unit is operated for 3-7 days; controlling the DO concentration of incoming water to be not more than 1 mg / L; when the DO concentration of the incoming water is more than 1 mg / L, reducing the aeration amount of the upstream or increasing the HRT of the treatment unit; and when the DO concentration of the incoming water is not higher than 1 mg / L, controlling the HRT of the system to be not more than 40 min. The method is mainly used for efficiently treating low-carbon-source sewage, improving the denitrification efficiency and reducing the treatment cost.

The invention relates to a reservoir prediction optimization method and system based on a buried hill volcanic rock core test. The method comprises the following steps: S1, performing ultrasonic active source detection on a volcanic rock sample through an annular observation system to obtain actually measured travel time and a ray path; and S2, theoretical travel time and a ray path are calculated based on the initial speed model, iterative updating is carried out on the initial speed model based on a preset inversion method until the theoretical travel time and the ray path are consistent with the actually measured travel time and the ray path, model iteration is completed, the model is output, and the output model is the speed structure in the volcanic rock sample. And S3, establishing a rock physical model according to the speed structure and the core pores. And S4, calculating according to the rock physical model to obtain a rock physical interpretation quantity version related to the dessert parameters, and performing engineering and geological dessert parameter prediction by using pre-stack seismic data. According to the method, the key parameters of the buried hill volcanic reservoir can be effectively predicted through accurate rock physical modeling.

The present invention is a moisture-absorbing, moisture-regulating, anti-slip volcanic rock slab product, which is characterized by the following components: 65-85% by weight of volcanic rock, 40-55% by weight of lime, 28-35% by weight of fiber material, and 3-15% by weight of additives. Through the efficient use of volcanic rock and its combination with other components, the product has the characteristics of moisture regulation, anti-slip, anti-mildew, heat insulation, noise reduction and other functions. The structural strength is also superior to other similar products. The cost of the product is low and can meet the needs of a wide range of applications. At the same time, the manufacturing and processing process of the product requires only minor changes to the current existing manufacturing and processing process, and the production investment is low. Not only does it create new uses for volcanic rock, but it is also environmentally friendly and can realize a cycle. It can also meet the requirements of environmental protection and meet the eco-friendly needs of people's daily life. It can play an active role in reducing carbon emissions.

This utility model belongs to the field of ecological restoration technology, specifically relating to an ecological filtration pond for aquatic ecological restoration. It includes a filtration pond with a partition fixedly connected to its inner wall. The partition is lower than the height of the filtration pond. The left side of the partition is a physical adsorption chamber, and the right side is a sedimentation chamber. The physical adsorption chamber is equipped with a storage mesh frame filled with volcanic rock. A landscape stone is laid on top of the storage mesh frame, and a planting trough is pre-reserved on top of the landscape stone, with a planting frame installed in the planting trough. Activated carbon granules are laid in the sedimentation chamber. A hollow step is fixedly connected to the left side wall of the filtration pond, and a water pump is installed within the step. This utility model can adsorb and purify impurities through physical adsorption, and further purify them by combining green planting and biological action. Furthermore, the green plants and adsorption materials are easy to remove and replace, effectively reducing water turbidity and improving purification efficiency.

The invention discloses a volcanic rock lithology identification method based on latent attribute characterization and Bayesian inference. According to the method, volcanic rock core / rock debris slice identification and related geochemical data are taken as calibration basis, multiple groups of logging curves sensitive to the lithologic characteristics of volcanic rock are preferably selected, and quality control and normalization processing are carried out; the method comprises the following steps: learning from a multi-logging curve through an encoder-decoder to obtain a group of mutually decoupled latent attribute representations, and respectively constructing a silicon dioxide content Bayesian classification model and a volcanic rock cause Bayesian classification model by taking the latent attributes as input; the probability prediction based on the silicon dioxide content range (basic / neutral / acidic) and the volcanic rock cause type is realized, the two prediction results are combined, and finally the volcanic rock lithology of the corresponding well section is determined. Meanwhile, the quantitative output uncertainty is used for multi-solution risk prompt, so that the accuracy, the stability and the credibility of a prediction result are improved.

The present application relates to the field of fabric production, in particular to a production process of volcanic rock heating fabric, a production process of volcanic rock heating fabric, wherein the grey cloth pretreatment includes a feeding roller and a winding roller for conveying the base cloth, a selvedge processing mechanism is arranged between the feeding roller and the winding roller and located on both sides of the base cloth, base platforms are arranged on both sides of the base cloth along the edge direction thereof for mounting the corresponding selvedge processing mechanism, the selvedge processing mechanism includes an air knife sprayer and a blocking component for preventing the trimmed lint from adhering to the surface of the base cloth, the blocking component and the base platform form a temporary space for the selvedge to pass through and be processed, in the process of trimming the selvedge of the base cloth, the blocking component limits the trimmed lint in the temporary space, prevents the lint from adhering to the surface of the base cloth, avoids the selvedge of the base cloth being hooked and torn in the subsequent steps, and improves the production efficiency and the production quality of the final fabric.

This invention discloses a high-elasticity modulus concrete and its preparation method. The high-elasticity modulus concrete comprises, by weight, cementitious materials: volcanic rock: river sand: water: water-reducing agent in a ratio of 575:990:755:115:(20-22). The cementitious materials, by weight, comprise: cement: fly ash: silica fume in a ratio of (375-435):85:55. This invention utilizes volcanic rock as coarse aggregate to construct a rigid skeleton, and incorporates cementitious materials to leverage their synergistic physical filling and volcanic ash effect, optimizing the matrix density and interfacial transition zone structure. Combined with ultrasonic-assisted mixing, it achieves uniform dispersion and efficient hydration of fine materials. This concrete exhibits high compressive strength and high elastic modulus, demonstrates low shrinkage and creep characteristics, good volume stability, and excellent durability. It is suitable for high-rise and super high-rise buildings and large-span structural engineering, significantly improving structural stiffness, saving building materials, and increasing usable space utilization.

The present disclosure provides improved alcoholic beverages and methods of making alcoholic beverages, such as vodka, gin, whiskey, akvavit, rum, scotch, bourbon, scotch and the like. A vodka comprises a fermentable base, water, a neutral spirit and an element from a volcanic rock. Impurities are removed from the vodka by filtering the beverage through the volcanic rock. Filtering the vodka with a volcanic rock and / or incorporating an element from the volcanic rock into the vodka increases the temporal profile of the alcohol on the tastebuds. This spreads out the overall impact of the alcohol on the tastebuds over time, thereby reducing the immediately harshness or burning sensation of the alcohol within the vodka. In addition, this process appears to inhibit activation of the bitter taste receptors, thereby reducing aftertaste and improving the overall finish of the vodka, resulting in a more pleasurable drinking experience.

Method for manufacturing composite cement, wherein a supplementary cementitious material is obtained from a marine sediment deposit fed by erosion of volcanic rock to form sedimented pozzolan by dredging the sediment deposit, dewatering the dredged sedimented pozzolan to a water content of below 20 wt.-% with respect to the total weight of sedimented pozzolan and water, washing the sedimented pozzolan with fresh water to a chloride content below 0.2 wt.-% with respect to the total solids, and drying to provide the supplementary cementitious material, and mixing the supplementary cementitious material with a hydraulic cement to provide the composite cement, as well as use of the obtained supplementary cementitious material for making composite cements and supplementary cementitious material and composite cement obtainable by the method or use.

1. Name of the designed product: combined rice packaging box (volcanic rock) 2. Use of the designed product: outer packaging design for protecting rice 3. Design points of the designed product: combination of patterns and colors 4. Picture or photo best indicating the design points: combined state Figure 1 5. The designed product contains colors 6. Other circumstances that need to be explained: in the designed product, packaging box set 1 is placed side by side with packaging box set 2; packaging box set 2 is placed side by side with packaging box set 3.

The application discloses a preparation method of imitation volcanic stone foamed ceramic, which comprises the following steps: (1) preparing foamed ceramic powder: after a known foamed ceramic base material taking silicon carbide as a foaming agent is prepared into a base powder through ball milling and spray granulation, a pore-forming material is added and uniformly mixed, the mass ratio of the base powder to the pore-forming material is 70-85:15-30, and the particle size range of the pore-forming material is 6-30 meshes; (2) spreading the foamed ceramic powder according to a preset thickness in a refractory kiln, and scraping; (3) sending into a kiln for firing, the firing temperature is 1160-1170 DEG C, and the firing period is 8-13.5 h; (4) removing the refractory kiln after cooling out of the kiln, and thus imitation volcanic stone foamed ceramic is obtained. In step (1), the content of silicon carbide in the pore-forming material is greater than the content of silicon carbide in the foamed ceramic base material. The foamed ceramic after firing can form an imitation volcanic stone decorative effect with pores of different sizes.

The invention belongs to the technical field of oil exploration and development, and discloses a method for identifying volcanic rock weathering crust and interior periods based on multiple seismic attributes, which comprises the following steps: determining a logging chart division boundary; a seismic data volume corresponding to the logging data is read, a cross plot is drawn, and a seismic data volume correction formula is obtained through linear fitting; correcting the seismic data volume of the research area; dividing the corrected data volume through a logging plate division boundary to obtain a first probability volume P1; determining an impedance plate division boundary; performing inversion to obtain an inversion resistance body; dividing the inversion impedance body according to an impedance plate division boundary to obtain a second probability body P2; performing weighted calculation on the P1 and the P2 to obtain a volcanic rock interior period identification parameter body P3; and establishing a recognition plate by using the P3, and determining a division boundary of the recognition plate to obtain a volcanic rock interior period recognition probability body P4. According to the method, well-seismic data unification is realized, and the weathering crust and the inner curtain period can be effectively identified in combination with an impedance inversion data body prediction result.

The invention relates to the technical field of environmental sludge treatment, in particular to sediment environment in-situ remediation particles and a preparation method thereof. The soil conditioner is prepared from the following raw materials: zeolite powder, volcanic rock powder, bentonite, silica sol, a functional component loaded precursor and bacillus spore powder. The sediment in-situ remediation particles are of a core-shell structure, activated zeolite-volcanic rock serves as an inner core to construct a porous framework, Fe / Mn and Mg / Ca loading sites are combined, pollutant adsorption, fixation and passivation are achieved, the sediment microenvironment is improved, conditions are created for outer-layer bacillus bioremediation, and space-time synergy of physicochemical and bioremediation is formed; a preparation route of curing nucleation and then low-temperature coating is adopted, the contradiction between mineral roasting and microorganism temperature intolerance is solved, the spore activity is guaranteed, and the loss resistance of the spore is improved.

The invention discloses a volcanic rock gas-bearing prediction method, electronic equipment, a storage medium and a device. The method comprises the steps that a training set and a verification set are established based on logging curves of multiple wells; constructing a gas-bearing prediction model based on an LASSO algorithm; training a gas-bearing prediction model based on the training set; verifying the trained gas-bearing prediction model based on the verification set; and carrying out volcanic rock gas-bearing prediction based on the verified gas-bearing prediction model. According to the method, the relationship between the gas-bearing interpretation result and the lithofacies and conventional logging curve is established according to the existing logging curve through the LASSO algorithm, lithofacies constraint is added during gas-bearing prediction, man-made interference is reduced, lithofacies information is added during prediction, and the accuracy of gas-bearing prediction is effectively improved.

The invention provides a volcanic rock reservoir full aperture characterization method based on LTNA and NMR of a fractal theory. The method comprises the following steps: S1, obtaining a pore cumulative volume percentage and T2 distribution curve of a sample in an NMR base saturation removal state; s2, acquiring a DFT model pore cumulative volume percentage and r distribution curve of LTNA; s3, on the basis of the fractal theory, obtaining a fractal equation suitable for NMR and LTNA, utilizing a pore cumulative volume percentage and T2 distribution double logarithmic curve of the NMR in a base saturation removal state and a pore cumulative volume percentage and r double logarithmic curve of the DFT model of LTNA to perform segmented calculation on fractal trend lines, obtaining a T2 value and a pore r value at a fractal threshold value, and calculating a multiple relation Z of the T2 value and the pore r value, nMR aperture time domain distribution is converted into spatial domain distribution, and a full aperture characterization method based on the fractal theory and using LTNA and NMR experiments is established. The invention provides a reliable volcanic rock reservoir full aperture characterization method, and solves the technical problems of complex pore structure and wide aperture distribution of the volcanic rock reservoir.

A self-defense glove device is provided. The device is comprised of a glove configured to enhance user protection and enable physical engagement during high-risk encounters. The glove body is comprised of at least one volcanic rock pad that is affixed or embedded within the body at locations such as the knuckle area or dorsal hand region. The pads are composed of naturally flexible volcanic stone or synthetic composites incorporating pulverized volcanic material with pliable binders. The pads may be encapsulated in a polymeric matrix to maintain integrity under repeated impact. The device further comprises a fastening mechanism that may be further comprised of a padding to ensure wrist retention and comfort. An exterior abrasive coating may be further applied to specific areas of the outer surface of the body, forming a textured surface for increased friction and offensive contact.