81 results about "Magma" patented technology

The invention discloses a method for evaluating the mineralization potential of porphyry copper-(gold-molybdenum) ore. The evaluation method comprises the following steps: determining candidate rock masses with relatively high mineralization potential according to an oxygen fugacity value of magma zircon and / or a magma water content value of hornblende in a rock sample in an evaluation area; the aluminum saturation index ASI of the candidate rock mass is measured and calculated, the distribution coefficient and the distribution coefficient ratio of Cu, Au and Mo between fluid and melt are determined according to the ASI, simulation calculation is conducted through a Rayleigh fractionation model according to the distribution coefficient and / or the distribution coefficient ratio, and the content ratio of Au to Cu to Mo to Cu of the candidate ore body is obtained. According to the method, the mineralization potential of the porphyry copper ore and the enrichment degree and grade of Cu, Au and Mo of potential ore bodies can be rapidly and accurately evaluated.

The invention discloses a high-precision anti-interference pressure transmitter, and relates to the technical field of anti-interference pressure transmitters. Comprising a pressure data acquisition module, a data preprocessing and integration module, a pressure fluctuation feature extraction and quantification module, an intelligent evaluation and deep learning analysis module and a dynamic adaptive monitoring regulation and control module, the pressure transmitter firstly continuously detects the fluid pressure in the earth crust fracture according to a preset initial detection threshold value, and recorded and collected pressure data serve as the basis of all subsequent analysis. According to the method, deep learning analysis and dynamic threshold adjustment are combined, transient pressure fluctuation and magma rising premonition are intelligently distinguished, and the risk of false alarm and missing alarm is reduced. By improving the sampling frequency and optimizing data analysis, a complete pressure change track is formed, the volcano monitoring precision and the anti-interference capability are improved, and efficient technical support is provided for geological safety early warning.

The invention relates to the technical field of ore deposit geological exploration, in particular to a method for judging the composite mineralization of a magma hydrothermal system, which comprises the following steps: 1) field geological survey and total factor sampling; 2) screening characteristic minerals and identifying lithofacies; (3) feature mineral mineralization generation division and cause preliminary exploration; 4) in-situ microcell geochemical analysis; (5) geochemically verifying the formation cause of the ore deposit; 6) analyzing an element zoning mode; and 7) reconstructing the composite mineralization process. According to the method, lithofacies discrimination, mineral geochemical analysis and mineral internal element spatial distribution (mapping / plane scanning) are organically combined, a multi-scale and multi-criterion synergistic composite mineralization recognition system is constructed, the magma hydrothermal system mineralization type can be effectively recognized, and then the composite mineralization process is reconstructed. The problem of lithofacies and geochemical splitting in traditional analysis is solved, and key technical support is provided for complex magma hydrothermal cause deposit analysis and deep prospecting prediction.

The invention relates to the technical field of mineral resource prospecting exploration, in particular to a prospecting prediction method based on a compound rock mass anatomy porphyry-skarn composite mineralization system. The control factors and formation mechanism of the ore deposit are clarified, and the deep earth dynamics process of porphyry mineralization development is disclosed. Through typical ore deposit fine dissection, the space-time structure characteristics of mineralization in different structural evolution stages are discussed; according to the method, mineral in-situ micro-area surface scanning and sulfide isotope in-situ tracing technologies are utilized to determine occurrence forms of metallogenic elements, restrain activation migration behaviors of microelements, find out sources of metallogenic metal substances, reveal a superposition metallogenic development mechanism and provide theoretical basis and technical support for prospecting exploration.

The invention provides a method for quantitatively evaluating the storage condition of magma hydrothermal deposit based on thermochronology, which comprises the following steps: determining a sample sampling point based on field geological survey, collecting typical samples, picking out zircon and apatite monominerals, and preparing a U-Pb isotope test target and a fission track test optical slide; carrying out fission track dating on the zircon and the apatite to measure the U-Pb isotope age and (U-Th) / He isotope age of the zircon and the apatite; thermal history evolution process simulation is carried out by integrating test data, and finally, the deposit preservation condition is quantitatively calculated and evaluated according to simulation. According to the method, a scientific quantitative full-chain research scheme is provided for augmentation, denudation and thermal history evolution research of the magma hydrothermal deposit, and the technical problem of quantitative evaluation of the storage condition of the magma hydrothermal deposit is solved.

The invention belongs to the technical field of sandstone type uranium ore mineralization prediction, and particularly relates to a sample set construction method suitable for sandstone type uranium ore big data prediction, which comprises the following steps: a system collects and arranges geological-geophysical prospecting-geochemical prospecting-remote sensing data of a research area, extracts the geological, geophysical prospecting, geochemical prospecting and remote sensing data, and pre-processes the data; performing feature selection of a sample set by analyzing factors such as construction, magma activity, stratum and lithofacies paleogeography, geophysics, geochemistry and the like; integrating the selected sample feature data, and marking features and labels of each sample to form complete single sample data; and integrating the formed single sample data together to construct a sample set, performing feature engineering on the data in the sample set, randomly selecting samples to construct a training set, and using the remaining samples to construct a test set. According to the method, the working process of constructing the sandstone type uranium mine big data prediction sample set is optimized, so that the uncertainty in the working process is reduced.

The invention relates to the technical field of ore concentration area mineralization prediction, in particular to an ore concentration area mineralization prediction method and system based on a knowledge graph technology. The method comprises the following specific steps: collecting geological data of a region; analyzing a mutual relation among geological conditions, magma and hydrothermal action; and constructing a metallogenic prediction model based on the knowledge graph and realizing prediction. According to the method, the regional geological background, the mineralization condition and the ore deposit characteristics can be organically combined with artificial intelligence to construct the mineralization prediction model based on the knowledge graph, and the regional mineralization rule is discovered under the condition of organically combining the mineralization time, the mineralization space, the substances and the movement.

The invention belongs to the technical field of exploration and development of fault block oil and gas reservoirs, and particularly relates to a seismic prediction method and system for igneous rock intrusive fault zone sealing performance, and the method comprises the steps: determining the seismic attribute and seismic frequency attribute of a highlight body of a target interval according to petroleum seismic exploration data; determining magma invasion characteristic parameters according to the seismic attribute and the seismic frequency attribute of the highlight body, and determining fracture characteristic parameters of the fracture zone according to an eigenvalue characteristic algorithm operation result in the third-generation coherent attribute of the seismic data; determining an internal structure index of the intrusive fault zone according to the magma invasion characteristic parameters and the fracture characteristic parameters of the fault zone; and comparing the internal structure index of the intrusive fault zone with a closed lower limit threshold of the internal structure index of the known oil reservoir fault zone, and predicting the fault zone closure and the closure capability thereof according to a comparison result, thereby realizing quantitative determination of the oil and gas migration and dredging capability of the fault with magma invasion in the clastic rock stratum.

A geothermal system obtains heated heat transfer fluid via heat transfer with an underground reservoir of magma. The geothermal system includes a wellbore extending between a surface and into the underground reservoir of magma. A fluid pump provides a flow of heat transfer fluid toward the underground reservoir of magma. A fluid conduit extends from the surface toward a terminal end of the wellbore and allows flow of heated heat transfer fluid from a portion of the wellbore that extends into the underground reservoir of magma toward the surface.

The invention relates to a method, a device, a medium and equipment for recovering the ancient landform of a broken basin. The method comprises the following steps: acquiring seismic profile data of a target basin; identifying top and bottom reflection interfaces of the magma bottoming body according to the seismic profile data; determining a seismic two-way travel time based on the top and bottom reflective interfaces of the magmatic bottoming body; on the basis of the earthquake two-way travel time, calculation is carried out by combining magma bottom dager body data and adopting a heave amount calculation model, and R values of all positions are obtained; constructing a section based on the R value to obtain a plurality of section lines; determining a ratio function; identifying an abnormal upheaval region according to a ratio function; and according to the R value of each section line, carrying out backstepping and correcting the abnormal upheaval area, and recovering the ancient landform of the broken basin. According to the method, the magma bottom can be quantitatively eliminated, the bottleneck problem that a disturbance area cannot be quantified and recovered in a traditional method is solved, and the real spatial form of an original stratigraphic system is accurately recovered.

The invention relates to the technical field of mineral resource exploration, and discloses a method for comprehensively judging a metallogenic structure system by magma hydrothermal solution, which comprises the following steps: firstly, integrating multi-source data, and carrying out standardization processing and core index screening to form a data set; a four-level quantitative tree model is constructed, each level follows the precondition logic that the upper level is the lower level, the magma power foundation, the construction channel constraint, the substance enrichment auxiliary condition and the time sequence matching requirement are sequentially determined, and each index quantitative threshold value is delimited; and finally, inputting standardized data, verifying through a hierarchical progressive judgment algorithm, and outputting a metallogenic judgment result, target classification and risk prompt to realize accurate and efficient judgment of the magma hydrothermal solution on the metallogenic structure system.

A method is provided for forming a wellbore extending from a surface into an underground reservoir of magma. The method includes drilling a primary borehole from the surface into the underground reservoir of magma and drilling a secondary borehole extending from the primary borehole and further into the underground reservoir of magma.

The invention belongs to the technical field of geology, and discloses a regional hot bump identification and reconstruction method based on a stretching structure background. Through integration of time-temperature inversion of multi-thermal chronology constraint, main trace element and isotope geochemical analysis and structural evolution modeling, a path from deep mantle thinning, magma source area tracing and thermal history evolution to shallow earth crust cooling can be realized, and omnibearing description and quantitative recovery of regional thermal heave are realized. Based on a multi-temperature-stage coupling inversion technology, the denudation rate, the lifting height and the cooling time can be quantitatively evaluated; based on accurate thermal history reconstruction and thermal rise identification, the thermal maturity of high-quality hydrocarbon source rocks can be effectively predicted, and area selection and trap positioning of oil and gas reservoirs are optimized, so that the success rate and economic benefits of oil and gas exploration are remarkably improved, and the method has scientific research and industrialization application values.

The invention discloses a method for screening ore-contained rock masses in a tungsten-tin ore prospecting prospective area, and a tungsten-tin ore metallogenic specificity distinguishing system and a screening method are constructed on the basis of fusing rock ore total rock geochemical data, a partial fusion numerical simulation experiment, a Rayleigh shunt numerical simulation experiment and a crystal porridge body model. According to the method, through quantitative analysis of essential differences of the ore-containing rock mass, the lean ore rock mass and the non-ore-containing rock mass in the magma differentiation degree, rapid and accurate screening of the hidden mineralized rock mass in the prospecting distant view area is achieved, and the ore-containing rock mass with the most mineralization potential can be rapidly screened out from the non-ore-containing rock mass or the lean ore rock mass.

The present invention discloses a method for identifying gold magma based on high-dimensional element ratio phase space differentiation, which solves the technical problem that gold magma cannot be accurately identified in the prior art. This method constructs a four-dimensional characteristic vector with ratios such as Ba / Zr, Nb / Y, U / Yb, and V / Y, projects it on the ratio phase space subdomain, and realizes the initial judgment, entropy state judgment and source area inversion of mineralization potential magma through distribution trend, trajectory disturbance and multi-factor clustering behavior. Multi-domain heterodimensional mapping and weighted fusion model are introduced to integrate the coupling effect of initial ratio disturbance, differentiation evolution trajectory and component source to form a set of high-order mineralization discrimination system for prospecting prediction. Through the above scheme, the present invention has the advantages of simple logic, accuracy and reliability, and has high practical value and promotion value in the field of mineral resource prediction and magma earth discrimination technology.

The invention provides a magma contact metamorphic zone coal quality prediction method based on organic geochemical data, and relates to the technical field of coal quality prediction. The magma contact metamorphic zone coal quality prediction method based on the organic geochemical data comprises the following steps that S1, at least two sampling sections are arranged in the direction perpendicular to a contact zone of a magma rock mass and a coal seam, one sampling section is perpendicular to a coal seam sedimentary layer, the other sampling section is parallel to the coal seam sedimentary layer, coal samples are collected on the sampling sections at equal intervals, and coal samples are obtained; and obtaining organic geochemical data of the critical control points. Through sparse sampling and transition point recognition algorithms, data requirements are greatly reduced, the prediction period is shortened, complex simulation is replaced by template matching, the prediction process is intuitive and explainable, a multi-source verification and reliability grading mechanism ensures that the result is stable, the overall method is high in practicability and easy to deploy and apply in a resource limited scene, and the prediction efficiency is improved. And the decision-making quality and benefit are improved.

This invention relates to the field of mineral deposit exploration technology, specifically disclosing a method for determining the extension of magmatic hydrothermal deposits using fluid inclusions. The method involves collecting mineral samples containing fluid inclusions from the target deposit and its surrounding area using a systematic grid. Physicochemical parameters are obtained through petrography, microthermometry, and isotope analysis, and a spatial database is established. Multiple initial hydrothermal centers are identified. A multi-dimensional spatial constraint field is constructed, incorporating temperature-salinity-isotope gradients, mineralization depth, and magma-water mixing ratio. Using the initial centers as seed points, a neighborhood search is performed along the gradient synthesis direction. Sub-hydrothermal centers are generated and continuously grow when preset conditions are met, until an overlap threshold is reached, at which point iteration stops. All hydrothermal centers and growth paths are integrated to construct a spatial extension model. High-potential areas are screened using a target area evaluation index, and the extension direction and potential mineralization target areas are determined by combining the mineralization depth. This significantly improves the accuracy of concealed ore body prediction and the efficiency of mineral exploration.

The present invention belongs to the field of geological technology and discloses a method for regional thermal uplift identification and reconstruction based on extensional tectonic background. By integrating time-temperature inversion with multiple thermal chronological constraints, major and trace element and isotope geochemical analysis, and tectonic evolution modeling, it is possible to achieve a comprehensive characterization and quantitative restoration of regional thermal uplift from deep mantle thinning, magma source area tracing, thermal history evolution to shallow crust cooling path. Based on multi-temperature stage coupled inversion technology, it is possible to quantitatively evaluate the erosion rate, uplift height, and cooling time; based on accurate thermal history reconstruction and thermal uplift identification, it is possible to effectively predict the thermal maturity of high-quality source rocks, optimize the selection of oil and gas reservoirs and the positioning of closures, thereby significantly improving the success rate and economic benefits of oil and gas exploration, and has scientific research and industrial application value.

This invention discloses a method for compiling mineralization center distribution maps based on the spatial distribution patterns of anomalous elements. The method involves collecting stream sediment data from the work area, performing principal component analysis, and extracting principal components with eigenvalues ​​greater than 1. It also distinguishes between medium-high temperature element combinations and medium-low temperature element combinations; calculates the mineralization center factor M; and calculates the outlier value M of the mineralization center factor. c Import the mineralization center factor M into the ZScape software and draw a contour map of the mineralization center factor in the working area; use the outlier value M of the mineralization center factor. c Create a mineralization center distribution map for the boundary; M≥M c The region is represented as the mineralization center; M≤M c The region is represented as the mineralization edge; based on the relationship between elemental zoning and temperature in stream sediments, this invention constructs mineralization center factors for magmatic-hydrothermal related deposits, realizes the quantitative compilation of mineralization center distribution maps, and innovates a new model for map compilation.

System, method, and apparatus for harnessing geothermal power from superhot geothermal fluid (SHGF) and magma reservoirs. An exemplary apparatus can include a well screen coupled to an end of a casing string. The well screen, which is at least partially submerged within an underground reservoir, defines a volume in the underground reservoir that can be filled with superhot geothermal fluid. A slidable casing is aligned coaxially with the well screen and configured to be repositioned relative to the well screen. A draw pipe extending through the slidable casing is configured to convey SHGF from the underground reservoir towards the surface in response to the slidable casing being repositioned to obstruct more of a set of apertures in the well screen and an increase in pressure within a cavity of the slidable casing.

The present application relates to the field of basin forming dynamics and oil exploration technology, in particular to a method for structure-multiple attribute tectonic palaeogeographic reconstruction of deep buried area of superimposed basin, establishing outcrop area and drilling stratum sequence framework and sedimentary facies model; determining vertical structure-stratigraphic unit of deep buried area of superimposed basin; determining spatial distribution of unconformity structure of deep buried area under single tectonic movement; determining main palaeoactive fault and magmatic activity of deep buried area; identifying and determining spatial distribution of seismic stratigraphic characteristics and attributes in single structure-stratigraphic unit; reconstructing tectonic palaeogeography of deep buried area of superimposed basin under single tectonic movement, using outcrop data, drilling and logging data, etc. to carry out comprehensive geology and geophysical analysis, using basin structure and geophysical multiple attributes in different periods to restore tectonic palaeogeography of deep buried area, and providing scientific, reliable and high-precision evidence for cognition and resource exploration of deep and ultra-deep layers under the double conditions of mutual constraint of palaeostructure and palaeogeography.

The present application relates to a method, system, equipment and medium for predicting the mineralization potential of rare metals. The prediction method comprises: obtaining tourmaline distribution data of a target area; performing microscopic petrographic analysis on tourmaline samples based on the tourmaline distribution data to identify the genetic type and ring-zone structure characteristics of the tourmaline samples; performing major element and trace element detection on the tourmaline samples according to the genetic type and ring-zone structure characteristics of the tourmaline samples to obtain major element data and trace element data; and determining the FeO2 content in the major element data based on the FeO2 content in the tourmaline samples. T The MgO ratio and the Nb and Sn contents in the trace element data, combined with the B isotope δ 11 B value, establish a magma-hydrothermal evolution model; based on the magma-hydrothermal evolution model, determine the characteristic element thresholds for rare metal mineralization potential; based on tourmaline distribution data and characteristic element thresholds, identify favorable prospecting areas in the target area. This application can effectively predict favorable areas for rare metal prospecting.

The present invention discloses a method for determining the deep extension of ore bodies in magmatic hydrothermal polymetallic deposits by using element geochemical anomalies. Based on large-scale structural alteration-lithofacies mapping and element geochemical content analysis, combined with the geological characteristics of the shallowly developed levels, through the compilation of element geochemical anomaly maps at different elevation planes and vertically, the spatial distribution characteristics and laws are summarized, and qualitative and quantitative indexes of element geochemical anomalies indicating the deep extension of ore bodies are further extracted, mainly including: quantitative evaluation indexes of element combination anomalies and the length, width and height difference of anomalies, and then a deep extension model of element geochemical anomalies in the unknown area in the deep part of the deposit is constructed, and finally the deep extension characteristics of hidden ore bodies are quickly determined; this method solves the problem of how to quickly identify the deep extension of deep ore bodies in the joint research process of traditional planar anomalies and profile anomalies, not only provides a new method for deep prospecting prediction, but also provides an important basis for the layout of prospecting engineering in deep prediction areas.

The invention relates to a filled magma composition comprising a polystyrene magma and at least one filler, and a method for its preparation. The invention also relates to a composite material obtained from the filled magma composition, and a method for its preparation. The invention further relates to a container holding the filled magma composition. The invention also relates to a part made of composite material, and a method for its preparation. Finally, the invention relates to a method for recycling a part made of composite material. Figure 1

The invention relates to a method for analyzing and evaluating nickel-cobalt mineral content of ultra-basic rock. The method comprises the following steps: S1, data collection and comprehensive analysis; s2, performing hyperspectral remote sensing interpretation; s3, performing field geological survey; s4, rock geochemistry and isotope analysis; s5, carrying out construction-magma-metallogenic coupling research; s6, performing mineralization model and resource evaluation; the method can make up for the defect of lack of methods for evaluating the mineral content of nickel and cobalt in basic and ultra-basic rocks in the prior art.

The invention discloses a small-scale igneous rock wall identification method based on seismic data and production data. The small-scale igneous rock wall identification method comprises the following steps: determining a time-space relationship among a fault, magma and deposition; the small-scale igneous rock wall is statically recognized from the plane and the longitudinal direction; superposing planar and longitudinal recognition results, and performing credibility grading on the small-scale igneous rock wall subjected to static recognition; oil field well pattern characteristics are extracted, and pressure integral derivative double logarithmic curve theoretical charts under different closed ranges are established; dynamically identifying a small-scale igneous rock wall; correcting the igneous rock wall subjected to static recognition according to a dynamic recognition result; and drawing a small-scale rock wall distribution diagram of the whole oil field and the like. According to the method, dynamic and static recognition is combined, the accuracy is high, and the obtained small-scale igneous rock wall in the igneous rock development area is reasonable and reliable in distribution.

The application discloses a global phase correction and high-pass filtering seismic wave reflection matrix imaging method and system, belongs to the technical field of geophysical exploration and seismic signals, and comprises the following steps: firstly, seismic array data is acquired and a reflection matrix is constructed; wideband focusing reflection matrix is obtained through time Fourier transform and Green function propagation; then, the focusing matrix is converted into a wave number difference domain, global phase correction is realized by using a power method, low wave number components are inhibited by combining high-pass spectral filtering, and wave field aberration correction is completed through closed loop iteration; finally, the corrected matrix is converted back into a spatial domain and normalized, and a high-resolution reflectivity image is generated. The application can overcome the interference of strong scattering medium, improve imaging resolution and algorithm convergence speed, is suitable for magma channel detection in a volcanic area and high-precision depiction of a non-homogeneous reservoir and a fracture network in oil and gas exploration, and has scientific research and industrial application values.

The present invention discloses a crushing and preselection process for mixed magma containing mud, belonging to the field of mineral processing technology. The process adopts a three-stage, two-closed-circuit crushing-pre-washing and grading-dry pre-selection and tailings discarding-high-pressure roller semi-open-circuit wet tailings discarding process. The coarse and medium crushed products are pre-washed and graded using a double-layer ore washing screen. The graded products are subjected to fine crushing and weak magnetic-strong magnetic dry preselection to obtain weak magnetic concentrate and strong magnetic concentrate. The strong magnetic block concentrate is sold as the final block concentrate. The strong magnetic dry preselection tailings are subjected to strong magnetic scavenging and tailings discarding to obtain strong magnetic middlings and strong magnetic scavenging block tailings. The weak magnetic concentrate and strong magnetic middlings are subjected to ultra-fine crushing by high-pressure roller closed-circuit or semi-open-circuit. The ultra-fine crushed products are subjected to wet weak magnetic and strong magnetic composite magnetic separation and tailings discarding. The composite magnetic separation concentrate enters the grinding process. The composite magnetic separation tailings are screened to obtain coarse sand and fine tailings. The present invention fully realizes the concepts of "early collection when possible", "early disposal when possible", and "early disposal when possible", and achieves efficient crushing and preselection of mixed magma containing mud.

The invention discloses a method and device for calculating a full-crustal extension coefficient based on subcrustal flow and magma invasion recovery, and the method comprises the steps: obtaining geological comprehensive data, such as a seabed seismic survey line and deep reflection multichannel seismic section data, of a target region, carrying out the stratigraphic division according to the geological comprehensive data, constructing a time-depth conversion formula through the drilling and logging data, and carrying out the calculation of the full-crustal extension coefficient. And converting the time profile data into depth domain data. And establishing an earth crust structure model in combination with a stratigraphic division result and related data, calculating a gravity anomaly curve through forward modeling and correcting the model until a preset condition is met so as to obtain density structure distribution of each part of the profile, and extracting the thickness of the earth crust high-density body. And then, according to the abnormal settlement after cracking, the earth crust loss amount is extracted, the current earth crust thickness is recalculated by removing the earth crust high-density body thickness and supplementing the earth crust loss thickness, the corrected earth crust thickness is obtained, and finally the whole earth crust extension coefficient is calculated. According to the method, the influence of bringing-in and taking-out of crustal substances is eliminated, and the accuracy of evaluating the crustal extension change rule is greatly improved.

The present invention discloses a method, device, equipment and medium for determining the distribution of magma in an intrusive fault zone, which relates to the technical field of oil and gas field exploration and development, including: loading geological data of a target area; constructing a fault plane of a magma intrusive fault zone in the target area based on the geological data; calculating a magma distribution indicator factor of the magma intrusive fault zone in the target area; and determining the magma distribution position in the magma intrusive fault zone in the target area. The present invention considers the value characteristics and frequency characteristics of the seismic information of the magma intrusion body, and combines the distribution characteristics of the fault to propose a magma distribution indicator factor S of the igneous rock intrusive fault zone, thereby achieving the purpose of quantitatively predicting the distribution range of magma in such fault zones. It can be used to predict the closed and drained oil and gas locations in the fault zone, and the resulting prediction effect is more in line with actual geological laws. It does not require the statistics of a large number of geological parameters, and can be directly studied on seismic data, making the implementation process more intuitive and rapid.