37 results about "Poikilitic" patented technology

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 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 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 invention provides a lithology identification method based on conventional logging information. The lithology identification method comprises the following steps: S1, acquiring an interval transit time AC curve, a stratum density DEN curve and a natural gamma GR curve in a conventional logging sequence of a target well; s2, a wave impedance IMP curve is obtained through calculation by means of the interval transit time AC curve and the stratum density DEN curve; s3, generating a combined curve of wave impedance IMP and natural gamma GR; s4, based on a preset lithology discrimination standard, performing quantitative lithology identification according to the combined curve to obtain a quantitative lithology identification result; and S5, generating a lithologic section of the target well according to a lithologic quantitative identification result. The method is easy to operate, data are easy to obtain, the lithology of sandstone, mudstone and volcanic rock can be rapidly and accurately recognized, feasibility and credibility are high, and a scientific lithology recognition means is provided for exploration and development technicians.

The application discloses a qualitative identification method for thin-layer mudstone interlayer in volcanic rock, which comprises the following steps: firstly, determining a mudstone section stably existing in the whole area through core observation and logging data, and taking the mudstone section as a standard section; secondly, selecting three curves (a neutron logging curve, an acoustic time difference logging curve and a density logging curve) responding best to the mudstone, standardizing logging curves of the standard section and the volcanic rock section in the whole area, and determining the peak value and the distribution range of the logging curves; selecting sample points with the best effect in the mudstone section and the volcanic rock section, taking the acoustic time difference logging curve as the horizontal coordinate, and taking the neutron logging curve and the density logging curve as the vertical coordinate respectively to establish a logging interpretation chart, qualitatively determining the identification standard of the mudstone and the igneous rock, and predicting the mudstone interlayer in the volcanic rock in a single well according to the chart. The application solves the problem of qualitative identification of the thin-layer mudstone interlayer in the volcanic rock, and provides reliable technical support for the analysis of the remaining oil potential of the igneous rock.

The invention discloses a longitudinal and transverse wave VSP-based segmented amplitude attenuation factor calculation method and system and a medium, and relates to the technical field of geophysical exploration and rock physics analys.The method is improved on the basis of a traditional amplitude attenuation factor calculation method, a segmented geologic model of a target area is constructed based on a strong reflection interface, longitudinal wave and transverse wave zero offset VSP data is utilized, and the seismic data of the target area is calculated. The geological amplitude attenuation factor of each layer section of the layered medium is obtained through longitudinal and transverse wave joint inversion and segmented quantification, accurate compensation of stratum amplitude attenuation under strong reflection shielding of a coal seam, a volcanic rock layer and the like is achieved, and more reliable parameters are provided for solving the problems of data distortion and the like caused by shielding effects below strong reflection in ground seismic data processing. The obtained amplitude attenuation factor can be directly used for guiding fidelity processing and high-resolution imaging of ground seismic data, and signal recovery and imaging quality of deep and hidden reservoirs are remarkably improved, so that a more reliable geophysical basis is provided for subsequent fine description of the reservoirs and fluid detection.

The invention discloses volcanic rock core splitting equipment, and belongs to the technical field of volcanic rock core splitting. The volcanic rock core splitting equipment comprises a lifting type cutting assembly used for carrying out core splitting on a volcanic rock sample, a clamping assembly used for fixing the volcanic rock sample and a moving assembly used for moving the clamping assembly, the clamping assembly comprises two sets of clamping parts used for clamping the volcanic rock sample, the two sets of clamping parts are oppositely arranged, and the clamping parts are arranged on the lifting type cutting assembly. The bottom parts of the two groups of clamping parts are hinged, and the driving assembly is used for controlling the opening and closing of the two groups of clamping parts; according to the invention, through the arrangement of the two groups of clamping parts, the two ends of a sample can be clamped and fixed, and the driving assembly is matched in the cutting process, so that the occurrence of saw blade clamping can be reduced, and the occurrence of saw blade clamping can be reduced while the sample is fixed; therefore, the problem that in the prior art, in the volcanic rock sample core splitting process, a sample fixing mode is prone to being clamped by a saw blade is solved.

The invention relates to an evaluation method of a broken basin volcanic rock reservoir, and belongs to the technical field of physical exploration. Determining the parameter value of the lower limit of the reservoir through the relationship between the pore throat radius distribution and the mercury injection displacement pressure; constructing a geologic function related to the porosity, the gas saturation and the permeability; and integrating the reservoir average pore throat radius, the comprehensive evaluation parameters, the porosity and the permeability, and establishing a reservoir comprehensive grading evaluation standard. Based on well drilling logging data and seismic data, a geological basis is provided for work such as evaluation, exploration and development deployment of a favorable area of the volcanic gas reservoir.

The invention relates to the technical field of oil and gas reservoir transformation, in particular to an in-section balanced fracturing transformation method suitable for a volcanic rock reservoir. The method comprises the following steps: step 1, carrying out stress grading on fracturing desserts in any fracturing section; 2, determining the number of perforation clusters corresponding to each stage of fracturing dessert and the number of perforation of each cluster; 3, perforation is carried out on the target fracturing section according to the determined perforation cluster number and the perforation number of each cluster; 4, fracturing transformation is conducted on the target fracturing section step by step in cooperation with a seam temporary plugging technology till transformation is completed; and 5, the steps 1-4 are repeated till transformation of all the fracturing sections is completed. According to the technical scheme, the fracturing technology can be more targeted and effective, a larger-volume fracture net is achieved, and the purpose of balancing volume fracturing is achieved.

The invention relates to the technical field of mineral products, in particular to a volcanic rock type molybdenum polymetallic ore prospecting prediction method based on multivariate heterogeneous data, and the method comprises the steps: systematically collecting a research area, mineral product data, geochemical data, geophysical data and landform data, summarizing a regional metallogenic law, dissecting typical ore deposit characteristics, and constructing a theoretical metallogenic model; and constructing a digital elevation model, and cleaning and preprocessing geochemical and geophysical data. Rich regional background information is provided for the model, and dependence on single regional data is avoided. According to the method, the ore deposit-mineralization-enrichment-ore-free classification sample library is constructed, the problem of unreasonable sample division is solved, and the adaptability of the model to different mineralization conditions is enhanced.

The embodiment of the present application provides a kind of production method, device and equipment of volcanic rock model and storage medium, belong to model making field.The production method of volcanic rock model includes: the characteristic data of volcanic mechanism is obtained;According to characteristic data, the digital model of volcanic mechanism is generated;According to digital model, the mold of volcanic mechanism is manufactured;Based on digital model, according to the processing of mold according to preset production process, the model of volcanic mechanism is obtained;Preset production process includes carving process and pouring process.The present application improves the intuitiveness of volcanic rock reservoir.

The invention relates to the technical field of oil and gas, and discloses an experimental device for simulating volcanic rock oil and gas reservoir microfractures, which comprises an experimental table, a supporting seat, a supporting rod and a supporting rod, the fluid injection assembly is arranged on the upper surface of the supporting seat and used for injecting liquid and oil into the device; the experiment assembly is arranged on the experiment table and comprises a shell, the lower surface of the shell is fixed to the upper surface of the experiment table, a collecting hopper is fixed in the shell, a rock core is arranged in the collecting hopper, a crack groove is formed in the rock core, and supporting frames which are in bilateral symmetry are fixed to the outer wall of the collecting hopper; the outer wall of each supporting frame is fixedly provided with first hinged blocks which are symmetrical left and right. Through cooperation of the internal structure of the experiment assembly, the hydraulic rod and the conical block, a rock core is clamped and fixed, meanwhile, replacement is convenient, meanwhile, the crack expansion range is controlled, and the problem that the experiment precision is insufficient due to the fact that the rock core is not firmly fixed in a traditional experiment device is solved.

The application provides a volcanic rock matrix-fracture double medium type oil reservoir evaluation method and system, and belongs to the technical field of geological engineering, oil reservoir technology and well logging interpretation.The application establishes a matrix porosity calculation chart by core calibration logging, adds a fracture pore as a conductive channel in an Archie sandstone conductive model, deduces fracture porosity, and finally combines the matrix pore, the fracture pore, the oil saturation and the oil test result to form a matrix-fracture type double medium oil and gas reservoir quantitative identification method.The application fills the gap of the research on the matrix and the fracture at the same time, improves the oil reservoir identification precision, and is more strict and reasonable in the identification standard, and is high in reliability.

The invention provides a method and a device for recovering the denudation thickness and the thermal historical evolution process of a superimposed basin. The method for recovering the denudation thickness and the thermal historical evolution process of the superimposed basin comprises the following steps: selecting a rock sample of a target work area; wherein the rock sample is at least one of a sandstone sample, a volcanic rock sample and a metamorphic rock sample containing apatite and zircon mineral particles; performing in-situ microcell isotope dating measurement on the rock sample to generate a dating measurement result; and determining the denudation thickness according to the ground temperature gradient of the target work area and the dating measurement result, and recovering the thermal historical evolution process. According to the method, quantitative recovery of the stratum denudation thickness caused by multi-stage tectonic cycle superposition and inversion of the dynamic evolution process of the thermal history under multi-stage tectonic activity superposition can be achieved, the defects in the prior art are effectively overcome, and the method has great significance in research and exploration evaluation of oil and gas accumulation in the complex superimposed basin.

The present application relates to the technical field of deep gas risk exploration, and particularly relates to a deep low exploration area volcanic reservoir prediction method, device, equipment and medium. The method comprises the following steps: according to the reservoir sensitive parameters of a research area, a post-stack virtual well constrained inversion is selected to obtain a low frequency model of a full low frequency band of a virtual well; a geological model is established based on the low frequency model of the full low frequency band and seismic interface information; based on the reflection characteristics of the volcanic rock in the research area, a Laplace operator frequency division configuration attribute is used to depict the volcanic rock body; according to the geological model and the volcanic rock depiction result, a configuration attribute of a slice position of a target layer is extracted, low frequency modeling is carried out based on the configuration attribute constraint to obtain a configuration attribute volume controlled low frequency model; and inversion is carried out based on the configuration attribute volume controlled low frequency model to obtain a volcanic reservoir prediction result of the research area. The present application realizes the spatial distribution depiction of irregular geological bodies, and the depiction of special geological bodies is clearer, which has an important supporting role for risk well deployment.

The invention relates to the technical field of volcanic rock cover layer analysis devices, in particular to a volcanic rock cover layer component analysis and recognition device which comprises a base, a positioning assembly, a first recognition assembly and a second recognition assembly. The upper side of the positioning assembly is provided with a first identification assembly capable of scanning and identifying the volcanic rock layer sample from top to bottom and obtaining a first scanning result, the second identification assembly comprises a synchronous material taking assembly, a feeding conveyor belt and a reagent supply mechanism, and the synchronous material taking assembly is arranged below the positioning assembly. The device is reasonable and compact in structure and convenient to use, the first recognition assembly obtains the first scanning result to provide guidance for subsequent reagent assay detection, the reagent assay efficiency and the detection accuracy are improved, the overall automation degree can be greatly improved by arranging the synchronous material taking assembly, the feeding conveying belt and the reagent supply mechanism, and the labor intensity of workers is reduced. The detection efficiency is improved.

The application discloses a kind of overpressure genesis contribution evaluation methods of volcanic gas reservoir based on well logging identification, it is related to the technical field of oil and gas exploration and development, its steps are as follows: first step: using geological data, distinguish overpressure and normal pressure volcanic rock depth section, clear overpressure development scale;Second step: using well logging data, identify overpressure development genesis;Third step: using rock resistivity-density relationship, the contribution of different genesis overpressure is obtained.The method can quantitatively calculate the contribution ratio of different genesis to overpressure formation according to the change amount of the volume properties and the conduction properties of the rock in the overpressure section, reducing the influence of manual intervention, avoiding artificial error or error, so that the prediction method has high quantitative prediction accuracy.

The present application relates to the technical field of digital image processing of geological structure, and particularly relates to a method for identifying volcanic tectonic fractures after weathering modification. The method of the present application comprehensively uses drilling, imaging logging, core and sidewall core data, combines with chart drawing and stereographic projection functions, realizes identification and statistics of volcanic tectonic fractures after weathering modification, and significantly improves the identification accuracy of volcanic tectonic fractures.

The application discloses a multi-modal volcanic rock fine-grained lithology identification method and system based on temperature scaling probability calibration, and belongs to the cross technical field of artificial intelligence and geophysical exploration. In view of the problems that the feature-level multi-modal fusion method is prone to overfitting, has poor generalization ability under the conditions of geological small samples and low signal-to-noise ratio, and the overconfident output probability of a deep neural network leads to unreliable fusion decision, the application proposes a three-section decision-level framework of 'decoupling-calibration-fusion'. First, an image expert network and a logging expert network are constructed, and independent feature extraction and classification are respectively performed on rock slice images and logging data; second, temperature parameters are respectively fitted on a verification set, and the non-normalized prediction values output by the two expert networks are temperature scaled to convert into calibrated probability distribution; and finally, the probability distribution is weighted and fused with a learnable weight parameter to realize fine-grained lithology identification.

The invention relates to the technical field of digital image processing of geological structures, in particular to an identification method for volcanic rock structure cracks after weathering transformation. According to the method, well drilling, imaging well logging, rock core and wall center data are comprehensively utilized, chart drawing and astrophe polar projection functions are combined, volcanic rock structure fractures after weathering transformation are recognized and counted, and the recognition precision of the volcanic rock structure fractures is remarkably improved.

The invention discloses a method for recovering an ancient landform under a complex geological condition. The method comprises the following steps: recovering the ancient landform by an impression-trend surface method; recovering the micro-landform by using a carboniferous system top surface trend surface-residual method; according to the method, the impression method, the trend surface method and the residual error method are combined and applied, and comprehensive ancient landform recovery is achieved from the aspects of macroscopic trend, compaction correction and micro landform correction; the precision of ancient landform recovery under a complex structure background is remarkably improved through compaction amount correction and trend surface processing, a relatively simple compaction coefficient method instead of a complex iterative solution equation method is adopted, physical characteristics of volcanic rocks are met, errors caused by excessive complex calculation are avoided, the compaction coefficient method and a residual error method are introduced, and the precision of ancient landform recovery under the complex structure background is improved. Through a mathematical compaction amount formula and a statistical method, the dependence on experience judgment is reduced, so that the recovery result of the ancient landform is more scientific and repeatable.

The application provides a method, device and equipment for identifying tuff, and a storage medium, and belongs to the technical field of geophysical exploration. The method comprises the following steps: performing classification processing on logging data of a target area based on logging curve characteristics of various lithologies in volcanic rocks; generating elastic parameter curves corresponding to various lithologies based on elastic parameters of various lithologies in the classified logging data; constructing a lithology identification factor based on elastic parameters in at least two dimensions selected from the elastic parameter curves; identifying tuff from seismic data of the target area by using the lithology identification factor, and determining a distribution range of the tuff. Different lithology characteristics and distribution rules of volcanic rocks are determined by logging and seismic rock physical characteristic analysis, the influence of tuff on reservoir prediction is reduced, and the sensitivity factor for identifying tuff is constructed based on rock physical analysis, the multi-solution problem of volcanic rock prediction is reduced, and the seismic prediction accuracy of volcanic rock lithology and reservoirs can be improved.

The application provides a microporous rock filter element and a water purifier. The microporous rock filter element is prepared according to the following steps: S1. mixing ore powder, volcanic rock powder, fluxing agent and pore-forming agent to obtain a mixture; the mass ratio of the ore powder, the volcanic rock powder, the fluxing agent and the pore-forming agent is 10-20:60-80:3-10:1-10; the particle size of the ore powder is 400-1000 mesh; the particle size of the volcanic rock powder is 160-200 mesh; S2. calcining the mixture at 700-900 DEG C for 3-5 hours, and then cleaning and drying to obtain the microporous rock filter element. The microporous rock filter element has high strength, stable internal pores, long mineralization life and can stably release multiple trace elements beneficial to human body.

The application provides a lithofacies prediction method and device based on an indicator curve. According to the application, the effective combination of seismic data information and logging data information is realized by using the indicator curve, the accuracy and delicacy of lithofacies prediction are significantly improved, the prediction result has clear geological significance, the actual lithofacies distribution of volcanic rocks can be reflected, the prediction of the three-dimensional space distribution rule of lithofacies, especially the lithofacies of volcanic rocks, is realized, and the volcanic rock exploration has important value.

The invention discloses a stone combined type step-shaped modeling design structure of a sunken rest area. The stone combined type step-shaped modeling design structure comprises a step-shaped modeling base layer, the stone plate is laid on the modeling base layer; the special-shaped volcanic rock veneer is arranged on the stone plate; the supporting structure comprises a central supporting piece and a supporting rod assembly, the supporting rod assembly comprises first inclined supporting rods, second inclined supporting rods and third inclined supporting rods, one ends of the first inclined supporting rods and the second inclined supporting rods are assembled at the top of the central supporting piece, the other ends of the first inclined supporting rods and the second inclined supporting rods are supported on the volcanic rock veneer, one end of each third inclined supporting rod is assembled at the bottom of the central supporting piece, and the other end of each third inclined supporting rod is supported on the volcanic rock veneer. And the other end is butted with the modeling base layer. The problems that an existing steel structure for decoration modeling is insufficient in supporting strength for special-shaped and large-mass veneers, the structure is complex, stress is uneven, local working loads are too large, the structural stability is insufficient, the special-shaped veneer layers are not stable in assembling and shaping, and efficient construction and assembling are not facilitated can be solved.

The invention provides a prospecting method for a brine type lithium-potassium-boron ore deposit in a structure transition area of a broken basin. The method comprises the steps that the type of a prospecting target layer is determined; the method comprises the following steps: acquiring gravity and magnetic data and seismic data of a broken basin, identifying a fault and / or identifying a deep and large fracture and / or identifying a volcanic rock mass, and determining a primary favorable metallogenic structure unit; for the first-stage favorable metallogenic structure unit, analyzing differential settlement of adjacent structure units, and determining a second-stage favorable metallogenic structure unit; determining a first-stage favorable exploration area for the second-stage favorable metallogenic structure unit, and further determining a second-stage favorable exploration area; drilling verification is carried out on the determined secondary favorable exploration area, and the physical property parameters of the brine type lithium potassium boron ore deposit are detected. The method can rapidly and accurately delineate the brine type lithium-potassium-boron ore deposit in the fault basin, and is especially suitable for rapid positioning and evaluation of the brine type lithium-potassium-boron resources in the continental fault basin.

The invention discloses a volcanic rock weathering crust structure division method and device, equipment and a medium, and relates to the technical field of petroleum geological exploration and development, a first indication parameter formula for indicating weathered clay and porosity increase is constructed, and a normalized logging curve, a weathering index and a geological division weathering crust structure correlation relationship are analyzed to obtain a first indication parameter formula; obtaining a first undetermined coefficient, and calculating a first indication parameter; constructing a second indication parameter formula of rock mechanical characteristic change, analyzing a correlation relationship between rock color, rock breaking characteristics, the normalized logging curve, the weathering index and a geological division weathering crust structure to obtain a second undetermined coefficient, and calculating a second indication parameter; and performing weathering crust structure division on the volcanic rock according to the first indication parameter and the second indication parameter to obtain a volcanic rock weathering crust structure division result. According to the method, the volcanic rock weathering crust structure division accuracy can be improved, the volcanic rock weathering crust structure division complexity is reduced, and the volcanic rock weathering crust structure division efficiency is improved.

The application discloses a method for determining the hydrothermal activity age of a volcanic rock reservoir, and relates to the technical field of volcanic rock identification. The method comprises the following steps: obtaining a zircon sample target of the volcanic rock reservoir to be measured; performing laser Raman spectrum testing to obtain Raman spectrum data of the zircon sample target; processing the data to obtain the peak position and half-height width of the vibration peak v3SiO4 of the zircon sample target; fitting the half-height width and the position parameter of the wave peak center of the vibration peak v3SiO4 to determine the morphological characteristics and composition of the inclusion in the zircon; performing isotopic proportion and trace element composition analysis to determine the formation age of the zircon; and constructing a half-height width-time fitting curve to determine the formation period of the hydrothermal mineral coexisting with the zircon. The method can be used to divide the zircon period of the volcanic lava, and has a good determination on the zircon genesis, thereby providing an important identification basis for the late hydrothermal / tectonic action events and time of the volcanic rock reservoir.

The application belongs to the field of oil and gas geophysics, and particularly discloses a volcanic rock volcanic channel identification method and device. The method comprises the following steps: obtaining texture characteristic attributes and tensor attributes based on a volcanic rock original time domain seismic data body; and fusing the texture characteristic attributes and the tensor attributes to depict the development position of the volcanic rock volcanic channel. The volcanic rock volcanic channel identification method provided by the application fuses the texture characteristic value attributes and the tensor attributes, can completely depict the development position of the volcanic channel under the volcanic mechanism background, and finally provides a complete and effective technical method and process for the identification of the volcanic rock volcanic channel facies.