991 results about "Petrology" patented technology

The invention provides an ore leaching property analysis method, and belongs to the field of process mineralogy, and the method comprises the following steps: taking a to-be-detected sample, carrying out ore grinding treatment, and carrying out ore washing and desliming to obtain a pretreated sample; mixing the pretreated sample with graphite to prepare an automatic mineralogical analysis sample, measuring the content of a target mineral and the content of a target element through automatic mineralogical analysis, and calculating the average content of the target mineral; adding an agent into the pretreated sample to carry out leaching reaction, carrying out solid-liquid separation to obtain mineral residues, and calculating the mass ratio of the mineral residues to the pretreated sample before reaction; mixing mineral residues with graphite to prepare an automatic mineralogical analysis sample, analyzing the sample, measuring the content of residual target minerals and the content of residual target elements, and calculating the average content of the residual target minerals; and calculating a mineral leaching coefficient and an ore leaching coefficient based on the obtained data. The in-situ leaching recovery rate prediction method based on mineralogical analysis is suitable for development and evaluation of low-grade and complex ore bodies.

The invention discloses an intelligent analysis method for geomechanical conditions of coal seam surrounding rocks, and belongs to the field of intelligent analysis of the geomechanical conditions of the coal seam surrounding rocks. The intelligent analysis method comprises the following steps: performing time sequence matching processing on historical geological data and real-time monitoring information by adopting a dynamic data integration technology according to a preliminary integration result of multi-source data; determining a unified feature set after multi-source data fusion; acquiring geomechanical condition related data of the unmined area according to the initial prediction model parameters, and performing simulation analysis on the surrounding rock stability to obtain stability prediction distribution of the unmined area; according to the stability prediction distribution of the unmined area, combining a dynamic data integration result, carrying out local correction on the prediction distribution, and determining a final stability prediction result; and for a final stability prediction result, generating a geomechanical condition risk distribution diagram of the unmined area through an intelligent prediction technology, obtaining distribution characteristics of a potential risk area, and completing output of a prediction model.

The invention discloses a dust raising prevention sampling device and method for geological mineral exploration, and particularly relates to the technical field of geological exploration, the device comprises a drilling assembly, a drilling pipe assembly, a sampling inner pipe and an extraction rod, the drilling assembly comprises a drilling machine and a feeding driving frame, the drilling pipe assembly comprises a section of primary drilling pipe and a plurality of sections of secondary drilling pipes, the sampling inner pipe is arranged in the primary drill pipe, a plurality of groups of elastic pressing strips are arranged at the bottom end of the sampling inner pipe, and a tightening controller is further arranged on the outer side of the bottom of the sampling inner pipe. When the sampling inner pipe is lifted, the tightening controller extrudes the bottom end areas of the elastic pressing strips, so that all the elastic pressing strips are bent and deformed inwards, a soil sample entering the sampling inner pipe is extruded to a certain extent, and the carrying capacity of the soil sample is improved; furthermore, the soil sample in the sampling inner pipe can be effectively taken out when the sampling inner pipe ascends, and the sampling integrity and accuracy are greatly improved.

The present invention belongs to the technical field of oil and gas engineering. Disclosed are an artificially-assisted packing method for sand control and water control in a fractured reservoir, and a packing effect evaluation method. The artificially-assisted packing method for sand control and water control in a fractured reservoir comprises the following steps: S11, calculating a fracture occurrence evaluation index F for a fractured reservoir; S12, calculating an artificially-assisted packing process implementation feasibility index G; and S13, on the basis of the fracture occurrence evaluation index F obtained in step S11 and the artificially-assisted packing process implementation feasibility index G obtained in step S12, selecting one of a natural micro-saturated packing process, an artificially-assisted squeezing supersaturated packing process and an artificially-assisted fracturing strong-saturated packing process for packing. By means of the packing method in the present invention, an appropriate packing mode is correspondingly selected on the basis of the structure of a natural fracture in a reservoir, and the matching degree between the natural fracture and an available proppant, thereby "making the remedy suit the case" and effectively ensuring the effect of sand control and water control.

The invention provides a method for measuring a structure coefficient, and belongs to the field of process mineralogy, and the method comprises the following steps: selecting a representative ore sample, and preparing an automatic mineralogy analysis sample; performing automatic mineralogical analysis on the automatic mineralogical analysis sample, measuring the area of a target mineral and the content of a target element, and calculating a structural distribution coefficient, an edge structural distribution coefficient and a far-end structural content of the target mineral in combination with the density of the target mineral; and based on the target mineral structure content, the edge structure content and the far-end structure content, a target mineral structure coefficient, an edge structure coefficient and a far-end structure coefficient are calculated respectively, and an ore structure coefficient is obtained through weighted summation. According to the method, a special calculation method is set, the structural characteristics of the ore are comprehensively represented by the target mineral structure, the edge structure and the far-end structure, and the structural characteristics of the ore can be measured; through analysis of ore characteristic structures, structure coefficients are calculated so as to represent the influence of the structures on the permeability of the ore.

The invention discloses a water-rich composite stratum tunnel surrounding rock deformation identification method, and relates to the technical field of tunnel engineering, and the method comprises the following steps: collecting stratum information and hydrological data in a geological exploration stage, and on-site monitoring data in a construction stage, carrying out the cleaning and normalization processing of the data, constructing a training set of a random forest model, and carrying out the recognition of the deformation of the tunnel surrounding rock. Training a random forest model by using the training set to obtain a trained surrounding rock deformation classification model; and by means of the trained surrounding rock deformation classification model, current to-be-identified surrounding rock data are analyzed, first deformation data are obtained, and the first deformation data represent the preliminary tendency of surrounding rock deformation. Through the strong classification capability of the random forest model, the preliminary judgment of the surrounding rock deformation tendency is realized, the judgment accuracy and efficiency are improved, the weighted scoring method and the Bayesian network algorithm are adopted to carry out preliminary judgment and detailed judgment, the multi-source data are effectively integrated, and the judgment precision is improved.

The invention discloses a natural caving method-based mining ore rock caving simulation system and method, relates to the technical field of ore rock caving simulation, and aims to solve the problems that the traditional ore rock caving simulation only focuses on acquisition of macroscopic geological data and rock mechanical parameters in the aspect of data acquisition, and the existing simulation system only focuses on acquisition of macroscopic geological data and rock mechanical parameters in the aspect of analysis methods during microstructure analysis. The algorithm is relatively single and rough, so that the simulation result cannot accurately reflect the real caving condition of the ore rock in the actual mining process. According to the invention, the data acquisition module comprehensively acquires macro and micro data and scientifically processes the macro and micro data, the microstructure analysis module accurately analyzes a microstructure by using multiple advanced algorithms and constructs a prediction model, the macro mechanical analysis module combines multiple algorithms to accurately analyze mechanical behaviors, and the data fusion calculation module ingeniously fuses the data to improve the prediction accuracy. Mining risks are effectively reduced, and safe and efficient mining operation is guaranteed.

The invention relates to the technical field of mineral exploration, and discloses a method for determining a heat source center of a gold and copper ore area containing alunite minerals, which comprises the following steps of: determining a to-be-detected area of a target mining area, sampling surface rocks according to a preset grid or section, and acquiring a plurality of rock samples and corresponding original acquisition points; carrying out mineral component analysis on the plurality of rock samples, screening the alunite-containing samples to obtain a plurality of alunite-containing samples, and screening effective samples; performing elemental component analysis on the effective sample, and extracting elements and contents related to gold mineralization or copper mineralization in the effective sample; setting a potential heat source center, calculating the distance between each effective sample and the potential heat source center, introducing a distance attenuation index, establishing an objective function of the element content and the distance, and adopting a gradient descent method to perform inversion solution by minimizing the objective function to obtain coordinates of the potential heat source center, namely the determined heat source center of the gold ore or the copper ore; the method improves the accuracy of gold and copper ore area heat source center exploration.

The invention discloses a compressed air energy storage underground lining cavern optimization design method and system, and belongs to the technical field of compressed air energy storage. The method comprises the steps that numerical simulation is conducted according to obtained rock mass parameters and given structural design parameters of the compressed air energy storage underground lining cavern, and the burial depth range of the compressed air energy storage underground lining cavern is determined; according to the buried depth range of the compressed air energy storage underground lining cavern, physical and mechanical parameters of surrounding rock of the stratum where the cavern is located are determined, and the load borne by the compressed air energy storage underground lining cavern structure is calculated; according to the load borne under the compressed air energy storage underground lining cavern structure, the limit burial depth of the compressed air energy storage underground lining cavern is obtained based on a limit equilibrium analysis method; and carrying out stability analysis on the limit burial depth of the compressed air energy storage underground lining cavern. According to the method, through steel lining-concrete lining-surrounding rock collaborative bearing mechanism analysis, inter-structure load distribution is quantified, the conservative property of traditional burial depth design is broken through, and stability optimization of the cavern is achieved.

The invention provides a method for predicting ground subsidence caused by ground stress change in geothermal exploitation, which comprises the following steps: collecting geological survey data of a target geothermal exploitation area, and constructing a three-dimensional geomechanical model; based on the constructed three-dimensional geomechanical model, simulating crustal stress evolution processes in different mining stages by adopting a numerical simulation method to obtain crustal stress tensor time sequence change data; inputting the crustal stress tensor time sequence change data into a three-dimensional geomechanical model as a boundary condition, and calculating the deformation of each rock stratum in the vertical direction to obtain a ground surface settlement estimated value; constructing a crustal stress-settlement prediction model based on the nonlinear mapping relationship between the crustal stress tensor time sequence change data and the settlement estimated value, and training; and inputting subsequent terrestrial heat exploitation scheme parameters, and predicting a future ground surface settlement trend by using the trained ground stress-settlement prediction model. The method is wide in application range and can be suitable for ground subsidence prediction of the geothermal exploitation area under different geological conditions.

The invention relates to a lithium ore prospecting prediction method and system, and relates to the technical field of mineral exploration. According to the lithium ore prospecting prediction method and system, the prediction accuracy of ore body identification is high, the exploration period can be shortened, and the exploration cost can be reduced. According to the method, the multi-dimensional data fusion is combined with the intelligent algorithm, the three-dimensional mineralization probability is output through the prediction neural network model, the prediction accuracy of ore body recognition is high, the exploration period can be shortened, and the exploration cost can be reduced.

The invention belongs to the technical field of vanadium enrichment mechanisms of phosphorus vanadium ores, and discloses a research method of a vanadium enrichment mechanism in a diagenetic stage of phosphorus vanadium ores, which comprises the following steps: S1, sample collection and treatment; s2, rock ore identification and mineral composition analysis; s3, analyzing the occurrence state and microcell morphology of vanadium; s4, performing geochemical analysis on the whole rock; s5, in-situ microcell geochemical analysis is carried out; s6, phosphorus nodule analysis; s7, comprehensive analysis and mineralization model establishment; according to the method, mineralogy, total rock geochemistry, micro-area surface scanning and other multi-scale and multi-means research methods are comprehensively utilized, and the vanadium occurrence state, the ore-forming fluid evolution and the phosphorus-vanadium coupling relation are finely described; in-situ microcell geochemical analysis is introduced into phosphorus nodule analysis, the internal structure, the growth sequence and element distribution of the phosphorus nodule are directly revealed, obvious frontier and systematicness are achieved, and reliable theoretical support is provided for accurate exploration of vanadium ore resources and green and efficient dressing and smelting process research and development.

Methods and systems are disclosed. The method may include obtaining a first plurality of hydrocarbon source rock samples from a first well and a second plurality of hydrocarbon source rock samples from a second well, each well penetrating a portion of a subterranean region. For each of the first and second plurality of samples obtaining a set of kinetic parameter values, including a discrete distribution of activation energy and a common frequency factor and determining a weighted average activation energy value from the distribution. The method may further include identifying a first chemostratigraphic segment of the first well and a second chemostratigraphic segment of the second well, each based on the weighted average activation values; determining a correlated stratigraphic unit and mapping organofacies based on the first the second chemostratigraphic segments; and predicting hydrocarbon generation, retention and expulsion and determining a drilling target within the correlated stratigraphic unit.

The invention discloses a mineral resource prediction model construction method based on a complex geological background, and relates to the technical field of mineral resource prediction, a three-dimensional ideal geological background field without mineralization interference is constructed based on the geological background of an unknown mining area, and the three-dimensional ideal geological background field is used for displaying the mining field of a non-mineralization area; constructing a three-dimensional real geological field based on the exploration data, and comparing the three-dimensional real geological field with the three-dimensional ideal geological background field to obtain first difference distribution data; extracting geologic features of the known mineralization area, and generating interference factors based on the geologic features; introducing the interference factor into the ideal geological background field to generate an interference coupling background field, and extracting the difference between the interference coupling background field and the ideal geological background field as second difference distribution data; the mineral resource prediction model is constructed based on the first difference distribution data and the second difference distribution data, the method can adapt to prediction requirements of different geological backgrounds, and the intelligent level and application flexibility of a mineral resource prediction system are remarkably improved.

The invention discloses a salt lake carbonate rock multi-parameter quantitative classification and reservoir evaluation method, and relates to the technical field of oil-gas exploration. The method comprises the following steps: selecting a key well in an exploration block, collecting a plurality of salt lake carbonate rock samples, preparing an analysis sample under an anhydrous condition, quantitatively measuring a salinity parameter, a mixing index and a diagenesis strength parameter by utilizing the analysis sample, and determining a salinity code, a mixing code and a diagenesis phase code. And naming the salt lake carbonate rock based on the salinity code, the mixed product code and the lithogenous phase code, directly evaluating the salt lake carbonate rock reservoir according to a naming result, and performing single well comprehensive evaluation on the salt lake carbonate rock reservoir. According to the method, the influence of salinity, mixed accumulation and diagenesis strength on formation and evolution of the salt lake carbonate rocks is fully considered, accurate division of the types of the salt lake carbonate rocks is achieved, the reservoir naming result is directly associated with reservoir evaluation, and technical support is provided for standardized evaluation of the salt lake carbonate reservoir.

The invention relates to the field of oil and gas field exploration and development, in particular to a shale oil dessert well logging evaluation method and device based on source-reservoir coupling characteristics, and the method comprises the steps: determining the reservoir quality according to the effective porosity and effective thickness of a shale oil reservoir in a research area; the effective porosity is greater than a preset porosity lower limit threshold; evaluating the quality of each hydrocarbon source rock stratum section according to the effective points of the total organic carbon content of the kerogen in the research area, the effective thickness of the layer section corresponding to each effective point and the total organic carbon content of the kerogen of the effective point; according to the coupling relation between the reservoir quality and the quality of the hydrocarbon source rock stratum section within the estimated longitudinal distance range of the position of the effective point of the total organic carbon content of the kerogen; according to the coupling relation, shale oil desserts within the longitudinal distance range are evaluated and estimated. On the basis of hydrocarbon source rock quality classification, reservoir quality classification and a source-reservoir coupling relationship, a foundation is laid for accurate classification evaluation of shale oil dessert development sections.

The present description relates to the field of oil and gas field exploration and development, and in particular, to a shale oil sweet spot logging evaluation method and apparatus based on source-reservoir coupling characteristics. The method comprises: on the basis of the effective porosity and effective thickness of a shale oil reservoir in a research area, determining reservoir quality, wherein the effective porosity is greater than a preset porosity lower threshold; on the basis of effective points of kerogen total organic carbon content in the research area, the effective thickness of an interval corresponding to each effective point, and the kerogen total organic carbon content of each effective point, evaluating the quality of source rock intervals; on the basis of an estimated longitudinal distance range of the positions where the effective points of kerogen total organic carbon content are located, determining a coupling relationship between the reservoir quality and the quality of the source rock intervals; and on the basis of the coupling relationship, evaluating a shale oil sweet spot within the estimated longitudinal distance range.

A method for delineating an ore body of deep-sea polymetallic nodules based on coverage data includes steps as follows. Ore body data of the deep-sea polymetallic nodules is obtained, the ore body data includes: mining site production scale parameters, mining system parameters, and ore body geological characteristic parameters. A boundary coverage rate and a cumulative weighted average coverage rate are calculated based on the mining site production scale parameters, the mining system parameters, and the ore body geological characteristic parameters. The ore body is delineated, based on the boundary coverage and the cumulative weighted average coverage, through a principle of ore body boundary range delineation to obtain an ore body range. The method delineates ore body of nodule with proper geological continuity based on abundance data. It can be directly applied to deep-sea polymetallic nodule mining, solving the problems existing in the delineation of ore body of deep-sea polymetallic nodule.

The invention provides a method for predicting an underground rock fracture risk in a carbon dioxide sequestration project, and the method comprises the steps: obtaining carbon dioxide time sequence pressure data of a plurality of monitoring points in a carbon dioxide sequestration region; performing feature analysis on the carbon dioxide time sequence pressure data to obtain spatial features and time features; fusing the spatial features and the time features to obtain space-time fusion features; geological parameters and rock fracture historical data of the carbon dioxide sequestration area are obtained; performing characteristic engineering processing on the geological parameters and the rock fracture historical data to obtain geomechanical characteristics; inputting the space-time fusion features and the geomechanical features into a pre-trained rock fracture prediction model to obtain rock fracture prediction data; wherein the rock fracture prediction model is a CNN-LSTM hybrid model. According to the technical scheme, the underground rock fracture risk in the carbon dioxide sequestration project can be accurately predicted.

The invention relates to the technical field of coal mine gas concentration prediction, in particular to a coal mine gas concentration time sequence prediction method and system based on LSTM. The method comprises the following steps: collecting multi-source data such as a mining machine pose time sequence, a micro-seismic monitoring event sequence and roadway environment monitoring, constructing a damage-permeability evolution equation by combining geological information, inverting a coal-rock mass dynamic stress damage field, calculating a gas dynamic permeability field and a gushing source intensity field, and finally predicting the gushing source intensity field by combining a space-time prediction model with historical data. And predicting future gas concentration distribution. And real-time space positioning of the coal mine gas emission source is realized.

Methods and systems are disclosed. Methods may include obtaining a paleoenvironment chart that includes water depths and obtaining an isopach map of a subterranean region of interest. The isopach map includes a sedimentary thickness at each position within the subterranean region of interest. Methods may further include determining a paleobathymetry map by converting the sedimentary thickness at each position to a water depth among the water depths, updating, using a basin modeling system, a basin model of the subterranean region of interest by inputting the paleobathymetry map into the basin model, and identifying, using an interpretation workstation, a location of hydrocarbons within the subterranean region of interest based, at least in part, on the updated basin model.

The invention relates to the technical field of pipeline steel production, in particular to a steel plate for a seabed hydrogen transmission pipeline and a manufacturing method thereof, the steel plate comprises the following chemical components: 0.04%-0.06% of C, 0.15%-0.25% of Si, 1.05%-1.25% of Mn, 0.01%-0.03% of Ti, 0.02%-0.04% of Nb, 0.03%-0.05% of V, and the sum of Nb, V and Ti is 0.068%-0.105%; the steel comprises, by weight, 0.02-0.04% of Als, less than or equal to 0.012% of P, less than or equal to 0.003% of S and the balance Fe and impurities. The chemical component design of the steel plate is based on low C and low Mn, the strength of the material is ensured by microalloying of Nb, V and Ti elements, the content of harmful elements in the steel is strictly controlled, and the steel plate for the pipeline, the performance of which completely meets the service conditions of hydrogen transportation in the seabed environment, is obtained by matching with a corresponding production process.

A method of sealing a lost circulation zone may include: circulating a lost circulation treatment composition to a subterranean formation comprising a lost circulation zone, wherein the lost circulation treatment composition comprises: a carrier fluid; a polymeric additive; a fine particulate component; and a composite particulate component containing size and shape selected materials; wherein the cost circulation treatment composition has the property of allowing full volume passage through a 15,000 micron fracture width; flowing the lost circulation treatment composition into the lost circulation zone; and plugging the lost circulation zone using the lost circulation treatment composition.

An efficient multiphase-flow graded-separation, concentration, and purification system for argillaceous sandstone uranium ore includes a hydraulic tossing washing and scattering pretreatment device, a high-frequency linear vibration grading device, a first-stage multiphase-flow swirling grading device, an energy-gathering ultrasonic scrubbing device, a second-stage multiphase-flow swirling grading device, a high-frequency linear vibration dewatering device, an efficient uniform-mixing and activating system and a conditioning and pressing dewatering system. The present disclosure implements intensive mud-sand stripping of crushed argillaceous sandstone uranium ore, fine graded-separation of material, and efficient uniform-mixing and activating and deep efficient dewatering of fine-particle argillaceous material. Finally, four types of core material of coarse sand material, fine sand material, dry tailings residue and a high-concentration uranium ore leaching solution are formed through continuous work. Efficient multiphase-flow graded-separation, concentration and purification of the argillaceous sandstone uranium ore are implemented, and an intensive extraction rate of uranium ore resources is improved.

The invention relates to the technical field of unconventional oil-gas exploration, in particular to a high-clay shale oil in-situ accumulation dynamics mechanism and mode evaluation method. The method comprises the following steps: collecting fluid pressure, temperature data, displacement pressure, oiliness, brittleness index, hydrostatic pressure, vitrinite reflectivity and density value of a shale sample at each depth position point of an exploratory well of each exploration point; calculating abnormal sensitivity; further acquiring ground temperature evaluation credibility; obtaining a self-adaptive fitting weight; acquiring the actual fluid pressure of the exploratory well of each survey point at each depth; acquiring the pressure coefficient of the shale sample at each depth position point of the exploratory well of each survey point; obtaining a self-sealing reservoir forming mode and a retention reservoir forming mode of shale oil; based on the vitrinite reflectivity, the oiliness, the brittleness index and the pressure coefficient, a shale oil enrichment area evaluation comprehensive index is constructed, and the in-situ flow of the high-clay shale is evaluated. According to the method, the accuracy of in-situ self-sealing reservoir formation, retention reservoir formation and dynamic mechanism evaluation of the high-clay shale is improved.

The invention provides a method for determining the spontaneous combustion evolution process of end slope coal of a strip mine, and belongs to the field of geotechnical engineering geological disaster prevention and control and the field of mine safety and environmental protection. Updating the porosity, the permeability and the range of the combustion space area in the pre-established three-dimensional geologic model by adopting the three-dimensional distribution of the porosity of the bending subsidence zone, the permeability of the fissure zone, the permeability of the caving zone and the porosity of the caving zone in the combustion space area; performing coal fire evolution simulation again according to the updated pre-established three-dimensional geologic model to obtain a coal fire development range, an updated real-time temperature field range and a gas concentration field; and if the combustion cannot be continued, outputting a final coal fire development range and an updated real-time temperature field range. According to the method, the efficiency and accuracy of open-pit mine end slope coal fire treatment are effectively improved.

Apparatus, method and computer program product for controlling flushing in rock drilling and rock drilling rigs. The apparatus includes a control unit (CU) and a computer program (22) for controlling the supply of a liquid component (LC) in an air mist flushing system in response to a detected seepage rate (15) of the drilling performed. An operator (22) can set a desired moisture target value (16) for the cuttings (19) removed from the drill hole (12) and the control system automatically adjusts the flushing system to control the supply of the liquid component.

The application discloses a coal rock anti-burst method of large-range seam forming by remote controllable shock wave and hydraulic fracturing, and comprises the following steps: step one, detecting and recording the stress concentration degree of target coal seam or rock stratum; step two, drilling; step three, withdrawing the hollow drill rod, arranging the discharge electrode connected with the cable at the front end of the hollow drill rod, and sending the discharge electrode into the drill hole through the hollow drill rod; step four, sealing the hole by using a hole sealer and performing hydraulic fracturing; steps five to seven, completing multiple repeated electric pulse discharge operations; and step eight, testing the pressure relief effect of the coal seam or rock stratum. The method uses the drilling cuttings method, high-pressure hydraulic fracturing and high-voltage electric pulse to perform large-range cracking and pressure relief on the coal rock stratum, changes the stress state of the coal rock stratum, and reduces the stress concentration degree, so that the anti-burst purpose is achieved. The method is mainly applied to deep coal rock body tunneling roadways and coal mining working faces containing coal rock body impact tendency.

The invention relates to the technical field of geochemistry and logging, in particular to a method and system for predicting the content of major elements and microelements in marine shale, and the method comprises the steps: obtaining drilling coring and logging curve data, and carrying out the depth alignment of a feature response section and a coring section on a logging curve based on lithologic features; rock samples of different lithofacies are collected through a system, main trace element content testing is carried out, deep matching processing is carried out based on the characteristic response section after depth alignment, and main trace element content data and logging data are subjected to depth consistency integration; constructing a data set based on the main trace element content data and the logging data with consistent depth, and constructing a machine learning model by applying a random forest algorithm, the machine learning model performing hyper-parameter optimization and feature selection based on a multi-strategy improved sparrow search algorithm; and inputting the logging data with the depth to be predicted into the trained model to predict the content of the main quantity and the content of the trace elements.

The invention provides a method and device for predicting the volume of hydrocarbon source rocks in a rift valley system low-exploration-degree basin, and relates to the technical field of oil and gas geology, and the method comprises the steps: selecting a basin with a high rift valley system exploration degree as a scale region according to the spatial-temporal evolution characteristics of the rift valley system and the exploration degree of the basin, and determining an optimal construction condition; analogy is carried out on the dynamic background, the extension mechanism, the fault activity normal form and the structure type of the to-be-predicted basin and the scale area depression to obtain a class ratio K1, and the analogy premise of the to-be-predicted basin and the scale area is determined; performing analogy on the maximum activity rate of the boundary fault of the to-be-predicted basin and the scale area and the maximum thickness of the hydrocarbon source rock stratum system to obtain class ratios K2 and K3; and obtaining an analogy value K according to a formula # imgabs0 #, and calculating the volume of the to-be-predicted basin hydrocarbon source rock through the analogy value K. According to the technical scheme, prediction of the volume of the hydrocarbon source rock in the low-exploration-degree basin of the rift valley system is achieved, and the exploration cost is reduced.