23 results about "Weathering crust" patented technology

The application discloses a kind of paragenetic metamorphic rock weathering crust weathering alteration index calculation method, comprising: the mass percentage of element of mud logging cuttings is determined;The mass percentage of element is normalized;The mass percentage of element after normalization is converted into oxide molar ratio;According to the change trend of element oxide molar ratio, the relative loss and relative enrichment trend of various elements in paragenetic metamorphic rock weathering crust is judged;According to the trend of element relative loss or enrichment, the easily soluble element and the element easy to remain are determined, and the new paragenetic metamorphic rock weathering crust weathering alteration index calculation formula is fitted;The molar ratio of element oxide is brought into the new calculation formula established, according to the size of the weathering alteration index value calculated, paragenetic metamorphic rock weathering crust is identified, and paragenetic metamorphic rock weathering crust structure is divided.The application provides important technical support for oil and gas basin paragenetic metamorphic rock weathering crust reservoir research.

The application discloses a kind of electrical parameter calculation methods of para-metamorphic rock weathering crust, comprising: reading the conventional logging curve data of the depth corresponding to para-metamorphic rock weathering alteration index;Logging curve data and para-metamorphic rock weathering alteration index data are fitted into linear relationship chart;According to the correlation of the linear relationship chart of fitting, select the logging curve with high sensitivity of para-metamorphic rock weathering crust identification;The logging curve data with high sensitivity of para-metamorphic rock weathering crust identification is normalized;Fitting para-metamorphic rock weathering crust electrical parameter calculation formula;The logging curve data after normalization is brought into formula to calculate and identify para-metamorphic rock weathering crust.The present application is based on the analysis of a large amount of logging curve data, establishes a new electrical parameter calculation model of para-metamorphic rock weathering crust, and proposes a new method for identifying para-metamorphic rock weathering crust.

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 belongs to the field of hydrometallurgy, and particularly relates to a weathering crust illuviation type rare earth ore screening system and a layered and graded rare earth heap leaching method. The system comprises a feeding device, a screening device, a conveying device, an ore heap, a liquid preparing pool and a liquid collecting pool which are sequentially arranged, and a cofferdam is arranged at the top of the ore heap. The method comprises the following steps: 1) after an ore heap is arranged by using weathering crust elution-deposited rare earth ore, spraying a composite ammonium solution in a solution preparation pool to the top of the ore heap through a spraying pipeline, and maintaining the liquid level height in a cofferdam at 5-10cm; (2) after the composite ammonium solution is sprayed, clear water is sprayed to the top of the ore heap through a spraying pipeline, water-soluble ammonium in the ore heap is flushed out, and the rare earth dump leaching process.By means of the method, the dump leaching efficiency of the weathering crust elution-deposited rare earth ore can be effectively improved, the ore leaching period is shortened, the rare earth leaching rate is increased, and the consumption of a leaching agent in the dump leaching process is reduced.

The application discloses a method and system for predicting the occurrence depth of an ore body of a weathered crust type rare earth deposit, and relates to the technical field of geological exploration. The method comprises the following steps: performing on-site testing on the weathered crust by using a high-density electrical method; calculating and inverting the testing results to obtain apparent resistivity data of the weathered crust at different depths; correcting the distortion values of the apparent resistivity data with the terrain fluctuation according to the terrain of the weathered crust, obtaining the apparent resistivity data of the weathered crust at different depths after the terrain correction by using a ratio method, and further obtaining a first derivative curve of the apparent resistivity changing with the depth, and determining the occurrence depth of the rare earth ore body in combination with a logistic regression model parameter. The application uses the variation law of the apparent resistivity of the weathered crust at different depths to find out the groundwater structure of the weathered crust, further uses the logistic regression model parameter to determine the position of the ore body of the weathered crust type rare earth deposit, so as to accurately predict the occurrence depth of the rich ore layer of the weathered crust type rare earth deposit, and efficiently and accurately explore the rare earth ore body in the weathered crust.

The invention provides penicillium, a composite ore leaching agent based on the penicillium and an ore leaching method of weathering crust elution-deposited rare earth ore. The penicillium XT-1 is preserved in the China Center for Type Culture Collection (CCTCC), the preservation number is CCTCC NO: M20242845, the preservation number is CCTCC NO: M20242845, the preservation number is CCTCC NO: M20242845, and the preservation number is CCTCC NO: M20242845. The composite mineral leaching agent comprises a microbial metabolite of Penicillium sp. XT-1, ammonium sulfate and hydrochloric acid. In the rare earth leaching process, efficient selective extraction of rare earth elements is achieved through the biological-chemical synergistic effect, the problems that a traditional chemical leaching method is large in pollution and large in chemical reagent and energy consumption are solved, and the common problems that the mineral utilization rate is low and leaching is difficult in biological hydrometallurgy are solved.

The present application relates to ion type rare earth ore detection technical field, especially ion type rare earth ore weathering crust resistivity in-situ vertical measurement and detection device, including installation box, the installation box left and right two side walls are provided with a back strap, the installation box top is connected with the installation cover through the positioning assembly, the installation cover bottom is provided with the bottom plate, the installation cover and the bottom plate between setting up detection assembly, the installation cover is provided with the adjusting assembly for adjusting the detection assembly spacing adjustment assembly. The device through the screw rod, hand wheel and the linkage structure of the one slot plate of adjusting assembly, can drive the guide sleeve to drive the electrode probe along the sliding groove flexible translation, realize the equal interval adjustable of electrode spacing, can accurately match the detection demand of different thickness weathering crust, greatly improve the measurement range and environmental adaptability.

The present application belongs to the technical field of petroleum exploration, and discloses a method for identifying a thrust anticline trap of a buried hill in a rift basin, comprising: obtaining a three-dimensional seismic data volume of the rift basin containing stratum horizon data; selecting a seismic profile in a direction substantially perpendicular to the extension direction of the rift basin to identify a thrust fault; selecting a seismic profile and a seismic isochronous slice of the upthrown side of the thrust fault to identify a thrust anticline structure of the buried hill; and judging whether the thrust anticline structure of the buried hill develops a weathering crust reservoir and an overlying layer simultaneously, and if so, identifying the thrust anticline trap of the buried hill in the rift basin as effective. In the present application, the selection of the seismic profile in the direction substantially perpendicular to the extension direction of the rift basin can improve the success rate of identifying the concealed thrust fault in the buried hill. The method of combining the seismic profile and the seismic isochronous slice to identify the thrust anticline structure can improve the identification accuracy of the thrust anticline of the buried hill.

The invention discloses an alkaline leaching-acid leaching combined leaching method for basalt weathering crust type scandium ore. The alkaline leaching-acid leaching combined leaching method is used for solving the problem that the leaching rate of a traditional leaching mode (direct leaching) is low. NaOH is adopted as a leaching agent for the ground basalt weathering crust type scandium ore, water bath heating and stirring are utilized for leaching, a leached solid-phase substance is washed with water to be neutral and dried, and the dried solid-phase substance is leached with H2SO4. Compared with a direct leaching method, alkali-acid combined leaching effectively improves the leaching rate of Sc in the basalt weathering crust, the concentration of H2SO4 used in the test process is lower, and the method is environmentally friendly and low in economic cost. Due to the fact that main Sc-containing minerals are often linked with acid-insoluble minerals or are wrapped by the acid-insoluble minerals, Sc cannot be effectively released through simple direct acid leaching, the purpose that alkali is used for leaching firstly is to destroy crystal lattices of external minerals through alkali leaching to enable the Sc-containing minerals to be exposed, then acid leaching is adopted to enable the Sc to be dissolved out and released into leaching liquid, and the leaching time is shortened. Therefore, the leaching rate of Sc is effectively improved.

The application relates to the field of rare earth mining, and particularly discloses a method for measuring in-situ leaching kinetics rate of weathering crust eluvial type rare earth ore, which comprises the following steps: step 1, obtaining a corresponding relation curve of rare earth ion concentration in leaching solution and effluent volume through column leaching test, as a test curve; step 2, combining ion exchange balance, leaching kinetics and ion transport in the leaching process, establishing a theoretical model of the column leaching test, and obtaining a corresponding relation curve of rare earth ion concentration in leaching solution and effluent volume through numerical simulation, as a simulation curve; and step 3, adjusting the kinetics coefficient in the theoretical model of the column leaching test, so that the simulation curve is consistent with the test curve, and the kinetics coefficient in the theoretical model of the column leaching test is the kinetics coefficient in the in-situ leaching process. The application can restore the in-situ leaching process as much as possible, obtain the kinetics coefficient suitable for the in-situ leaching process, and avoid the limitation of sampling conditions in beaker or flask test.

The invention discloses a granite ancient buried hill weathering crust thickness determining method, device and equipment and a medium. The method comprises the steps that according to drilling data of at least two drilling wells of a target granite ancient buried hill, the true thickness values of the weathering crust of at least two drilling point positions are determined; determining a granite weathering influence factor value according to the true thickness values of the weathering crust of the at least two well drilling points and a predetermined relationship between the thickness of the weathering crust and the granite weathering influence factor; and determining a weathering crust thickness distribution result of the target granite ancient buried hill according to the granite weathering influence factor value and the relationship between the weathering crust thickness and the granite weathering influence factor. By adopting the scheme of the invention, the thickness distribution condition of the unknown granite ancient buried hill weathering crust in the low exploration mature area can be accurately predicted, and a basis is provided for exploration decision and exploration well deployment.

This specification relates to the field of oil and gas exploration technology, specifically disclosing a method and apparatus for determining the effective reservoir distribution of granite weathering crust. The method includes: analyzing seismic facies types and distribution characteristics based on three-dimensional seismic data of the target granite weathering crust reservoir; extracting reservoir attribute characteristics of the target granite weathering crust reservoir along the layer using maximum amplitude attributes to obtain seismic sensitivity attribute distribution characteristics; delineating the vertical structure of the target granite weathering crust reservoir using well logging data; calibrating the vertical structure with the seismic facies types of the target granite weathering crust reservoir to establish a correspondence between seismic facies types and vertical structure; and determining the effective reservoir distribution characteristics of the target granite weathering crust reservoir based on the seismic facies distribution characteristics, seismic sensitivity attribute distribution characteristics, and the correspondence between seismic facies types and vertical structure. This method can accurately determine the effective reservoir distribution characteristics.

The present application relates to the field of oil exploration, in particular to a carbonate rock weathering crust reservoir characterization method, equipment and medium. The method comprises fault probability body calculation and calibration; according to the fault development mode of the research area, the fault sample label definition is carried out in the seismic profile; the AI basic model is optimized by using the transfer learning technology to obtain the AI fault prediction model; the label definition and model optimization are carried out on the reservoir body to obtain the AI bead reservoir prediction model; the fault probability body and the bead reservoir obtained by AI image recognition are used to carry out three-dimensional space stereoscopic sculpture. The present application is based on AI image recognition to predict carbonate rock weathering crust reservoir, the prediction effect is improved, the influence of geological factors such as karst boundary and river channel on the prediction result is reduced, finally, based on the AI prediction data body, three-dimensional stereoscopic sculpture technology is used to realize accurate characterization of three-dimensional space characteristics of carbonate rock weathering crust reservoir.

This invention discloses a method and system for estimating the erosion intensity of a granite weathering crust watershed. The method includes: setting up a sample plot at the granite weathering crust watershed, collecting coarse quartz particles from the surface of the sample plot and weathering crust soil at different depths of the sample plot; sorting coarse quartz particles of different sizes; determining the particle size of the selected test coarse quartz particles based on the enrichment rate of coarse quartz particles of different sizes; conducting splash erosion and weathering tests on the selected coarse quartz particles of different sizes to obtain the splash erosion rate and weathering rate of the coarse quartz particles; and calculating the erosion intensity of the granite weathering crust watershed over a certain period of time based on the selected coarse quartz particles of different sizes, the enrichment amount of coarse quartz particles on the surface of the sample plot, the splash erosion rate and weathering rate of the coarse quartz particles, and the content of coarse quartz particles in the weathering crust soil. This invention utilizes the content of coarse quartz particles in the weathering crust, as well as the enrichment, splashing, and weathering rate of coarse quartz particles on the surface of the watershed, to estimate the erosion intensity of the granite weathering crust watershed. It can effectively assess the erosion status of the granite weathering crust in areas without erosion monitoring, and provide a reference for the management of soil and water loss in the granite weathering crust.

The invention belongs to the technical field of natural gas exploration and development, and discloses a fault control type karst residual hill weathering crust gas reservoir favorable area optimization method and related device.The method comprises the steps that well seismic data in a target area are obtained, marker beds are selected according to the well seismic data for layer position calibration, and the stratum thickness of each layer is counted; according to the horizon calibration and the stratum thickness, an impression method and a trend surface removing method are adopted to recover ancient landform and micro-ancient landform forms, and a target area weathering crust interface top surface structure and a fracture distribution diagram are compiled; and calculating an ancient landform evaluation index, a structure evaluation index and a fault evaluation index at the deployment well point according to the ancient landform, the micro-ancient landform, the weathering crust interface top surface structure and the fracture distribution diagram, solving a comprehensive evaluation index of a favorable region, and screening a favorable target region. According to the method, the relevance and interaction of different control factors are explored, a multi-factor fusion method is provided to solve the favorable area, and the method has better evaluation means and accuracy.

The present application relates to the field of petroleum geological exploration, and discloses a buried hill weathered crust reservoir prediction method and system based on seismic reflection intensity difference detection, a medium and equipment, comprising: sequentially performing trace equalization, spherical diffusion correction, multi-stage amplitude-preserving denoising and sparse inversion on post-stack seismic data, and outputting high signal-to-noise ratio, high resolution and amplitude-preserving seismic profiles; based on the seismic profiles, a multi-parameter fusion reflection intensity is obtained, complex seismic traces are extracted through Hilbert transform, amplitude envelope, instantaneous phase gradient and frequency attenuation coefficient are calculated, and the reflection intensity of the target interface is obtained through weighted fusion; based on the reflection intensity of the target interface, the relative intensity ratio and the absolute intensity ratio are calculated, and the reservoir level is calibrated in combination with core data. The present application solves the technical problems of "poor seismic data quality, one-sided reflection intensity characterization and disturbed quantitative indicators" in the existing buried hill weathered crust reservoir analysis, and realizes high-precision reservoir evaluation under post-stack data.

The present application relates to the technical field of seismic data interpretation, and discloses a method for predicting the thickness of buried hill weathering crust reservoirs, which comprises the following steps: obtaining the wave peak amplitude, wave trough amplitude and relative amplitude ratio of wave peak-wave trough of the weathering crust reservoir; inputting a buried hill weathering crust reservoir thickness prediction model to obtain the predicted value of the weathering crust reservoir thickness. The buried hill weathering crust reservoir thickness prediction model is constructed by the following method: obtaining multiple sets of well point data pairs through multiple wells passing through the weathering crust; constructing a first fitting function of the wave peak amplitude and the wellbore thickness, a second fitting function of the wave trough amplitude and the wellbore thickness, and a third fitting function of the relative amplitude ratio of wave peak-wave trough and the wellbore thickness according to the multiple sets of well point data pairs; and constructing the weathering crust reservoir thickness prediction model: weathering crust reservoir thickness=(α first fitting function+β second fitting function+γ third fitting function) / (α+β+γ), which can improve the accuracy of the predicted value of the weathering crust reservoir thickness.

This invention relates to the field of seismic data processing technology, and discloses a method for constructing a weathered crust reservoir thickness prediction model and predicting the thickness of weathered crust reservoirs. The method includes: calibrating three-dimensional seismic data using well logging data from multiple wells passing through the weathered crust to obtain first seismic data; performing adaptive dip-constrained median filtering on the first seismic data to obtain second seismic data; performing Gilbert transform on the second seismic data to obtain a three-dimensional instantaneous frequency data volume; acquiring multiple sets of well point data pairs; and fitting an expression for the weathered crust reservoir thickness based on the multiple sets of well point data pairs to obtain a weathered crust reservoir thickness prediction model. In the embodiments of this invention, the instantaneous frequencies corresponding to the reflection peaks, reflection troughs, and zero amplitude points are combined using linear equations, reducing the instability in thickness prediction caused by frequency phase interference when the weathered crust reservoir is thin, thus making the predicted thickness value of the weathered crust reservoir more accurate.

The application discloses a kind of weathering alteration index calculation methods of orthometamorphic weathering crust, comprising: the mass percentage of element of mud logging cuttings is determined;The mass percentage of element is normalized;The mass percentage of element after normalization is converted into the mole ratio of oxide;According to the change trend of element oxide mole ratio, the relative loss and relative enrichment trend of various elements in orthometamorphic weathering crust are judged;According to the trend of element relative loss or enrichment, the easily soluble element and the element easy to remain are determined, and the calculation formula of new orthometamorphic weathering crust weathering alteration index is fitted;The mole ratio of element oxide is brought into the new calculation formula established, and according to the size of the weathering alteration index value calculated, orthometamorphic weathering crust is identified, and the structure of orthometamorphic weathering crust is divided.The present application provides important technical support for oil and gas basin orthometamorphic weathering crust reservoir research.

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 provides a weathered crust-interior structure integrated prediction method for metamorphic buried hill reservoirs. The weathered crust-interior structure integrated prediction method for metamorphic buried hill reservoirs comprises the following steps: S1, reservoir geological feature analysis and structure division; S2, reservoir parameter prediction based on prestack simultaneous inversion; S3, single-unit multi-attribute fusion fracture modeling; S4, ground stress modeling and fracture effectiveness evaluation; and S5, reservoir comprehensive quantitative evaluation and favorable area prediction. The weathered crust-interior structure integrated prediction method for metamorphic buried hill reservoirs has the advantages of being capable of integrating multidisciplinary information and realizing integrated characterization and quantitative prediction of weathered crust and interior reservoirs.

This invention discloses a surfactant-based composite leaching agent for weathered crust leached rare earth ores. It is a composite solution formed primarily from a composite cationic surfactant and an inorganic leaching agent solution. The composite cationic surfactant is composed of hexadecyltrimethylammonium bromide and dodecyltrimethylammonium bromide. This surfactant-based composite leaching agent effectively increases the penetration rate of the leaching agent solution into the ore body, increases the leaching rate of rare earth elements, inhibits the leaching of aluminum impurities, and suppresses the expansion of the ore body, thus maximizing the leaching process of rare earth elements. Furthermore, the application method is simple, efficient, and suitable for widespread application.

The application discloses a kind of electrical parameter calculation methods of orthometamorphic rock weathering crust, comprising: reading the conventional logging curve data of the depth corresponding to orthometamorphic rock weathering alteration index;Logging curve data and orthometamorphic rock weathering alteration index data are fitted into linear relationship chart;According to the correlation of the linear relationship chart of fitting, select the logging curve with high sensitivity of orthometamorphic rock weathering crust identification;The logging curve data with high sensitivity of orthometamorphic rock weathering crust identification is normalized;Fitting orthometamorphic rock weathering crust electrical parameter calculation formula;The logging curve data after normalization is brought into orthometamorphic rock weathering crust electrical parameter calculation formula.The present application is based on the analysis of a large amount of logging curve data, establishes a new orthometamorphic rock weathering crust electrical parameter calculation model, and proposes a new method for identifying orthometamorphic rock weathering crust.