356 results about "Mudrock" patented technology

The invention relates to the technical field of underground cavern construction, and discloses a layered rock mass cavern excavation parameter dynamic optimization decision system and method, and the system comprises a rock stratum database building module, an excavation simulation module and an excavation model optimization module. The method comprises the following steps: collecting basic data such as engineering geological conditions, rock mechanical properties and ground stress distribution; establishing an initial rock stratum parameter database through a three-dimensional ground stress test and rock mass permeability characteristic analysis; establishing a stratified rock mass excavation simulation model, simulating a failure mode of a stratified rock stratum under excavation disturbance, and analyzing stress redistribution and a potential failure area; determining a cavern axis direction, an excavation sequence and support parameters according to a simulation result; acquiring surrounding rock deformation, loosening circle expansion and seepage characteristic change; and utilizing a damage proximity index to predict the distribution of the loose circles, and optimizing the stratified rock mass excavation simulation model. The method can adapt to various complex working conditions from a sand shale interbed to an ultra-deep fractured stratum and the like.

The invention discloses a method for predicting a favorable area of a thin-layer stacked sand body, and relates to the technical field of exploration and development of oil and gas reservoirs, and the method comprises the steps: generating a synthetic seismic record through well-seismic combination by using interval transit time and a density curve, aligning the synthetic seismic record with an actual seismic record, and building a three-dimensional frame model of a target layer of a research area; performing abnormal value elimination and standardization processing on the logging curve, making a statistical histogram, comparing peak separation degrees of sandstone and mudstone, and selecting the most sensitive curve to distinguish the sandstone and mudstone; and realizing well-side seismic trace waveform dynamic clustering analysis through singular value decomposition, and determining the number of effective samples. Based on the result of waveform indication simulation, the method is combined with the optimized seismic attribute to predict the thin-layer stacked sand body together, a systematic method is provided, the multiplicity of solutions of predicting the thin-layer stacked favorable sand body through the seismic attribute and the uncertainty of depicting the sand body by the sedimentary facies in the area with few wells can be reduced, and the prediction accuracy of the thin-layer stacked favorable sand body is improved. Therefore, the precision and reliability of thin-layer stacked sand body prediction are improved.

The invention belongs to the technical field of bottom plate mudstone treatment, and particularly relates to a rapid reinforcing material and method for bottom plate mudstone. The rapid reinforcing material for the bottom plate mudstone comprises the following components in parts by mass: a material A: 40-60 parts of sulphoaluminate cement, 15-40 parts of Portland cement and 1-2 parts of a naphthalene water reducer, and further comprises an initiator, a cross-linking agent and a redox agent; and a material B: 80-100 parts of gypsum, 10-30 parts of acrylamide and 2-4 parts of an aluminate coupling agent. According to the rapid reinforcing material for the bottom plate mudstone, the on-site argillization bottom plate can be hardened on site, a bottom plate hardening layer meeting the bearing condition is formed, the labor cost and the time cost caused by cleaning of bottom plate argillization substances are reduced, the passing smoothness is guaranteed, the project progress is accelerated, and the project benefits and the economic benefits are improved.

The invention discloses a neural network-based coal mine drainage and drainage quantity prediction and drill site optimization design method, which comprises the following steps of: deeply analyzing stratum characteristics such as sand shale proportion and lithology category by introducing a space occurrence characteristic quantitative model and a convolutional neural network; historical drainage water volume data and real-time monitoring information are dynamically learned in combination with the bidirectional long-short-term memory network, and the prediction precision is remarkably improved. Meanwhile, a drill site adaptive optimization module is constructed based on a reinforcement learning algorithm, and the drill hole spacing, depth and layout mode are automatically generated according to a prediction result. According to the method, sand shale category division and space occurrence characteristics are incorporated into a neural network input layer, and the problem that lithology heterogeneity modeling is insufficient in a traditional method is solved; and through dynamic coupling prediction and design links, real-time optimization of drilling parameters is realized, and the universality and flexibility of the technology are remarkably improved. The invention provides an efficient, accurate and economical technical means for coal mine water disaster prevention and control.

The invention relates to the technical field of oil-gas exploration and development, in particular to a block formation pressure prediction system and method based on three-dimensional seismic information. Comprising a data acquisition module, a depth domain conversion module, a three-dimensional grid chemical engineering area modeling module, a dynamic lithology quantity version generation module, a thinning survey line compaction modeling module, a three-dimensional pressure field calculation module and a dynamic regulation and control module. The global space coverage is realized by constructing a three-dimensional grid model with a well position mark, and the limitation of two-dimensional data is eliminated; pure mudstone node data is processed by adopting a thinning measuring line strategy controlled by structural features, so that the calculation load is remarkably reduced; a reliable data source is screened based on a dynamic lithology probability threshold, and the pressure prediction precision is improved in combination with a sandstone region lithology correction coefficient; the prediction result is verified in a closed-loop mode through the real-time drilling DC index, and a control instruction is triggered. According to the method, the technical bottlenecks of insufficient space coverage, low calculation efficiency and large prediction deviation of the complex geological structure area are effectively solved.

The invention discloses a tunnel blasting vibration prediction method suitable for a sand shale interbed area, and mainly relates to the technical field of tunnel blasting. Comprising the following steps: S1, determining key factors influencing the vibration velocity; s2, building a blasting vibration prediction model in the sand shale interbed area; s3, carrying out data normalization processing; s4, introducing a BP neural network to train the prediction model; s5, introducing a particle swarm optimization algorithm and initializing related parameters of a particle swarm; s6, improving a particle swarm optimization algorithm; s7, a sand shale interbed tunnel blasting vibration prediction model of the improved particle swarm optimization BP neural network is obtained, the model is combined with blasting characteristic parameters of specific sand shale interbed area tunnel engineering for prediction, and a blasting effect prediction result is obtained; according to the method, important theoretical guidance can be provided for blasting vibration prediction of the stratified structure with changeable rock strata, and a practical safety evaluation tool is provided for ground surface vibration velocity control of similar projects.

The present application provides a method, device, equipment, medium and product for well logging environment correction, belonging to the technical field of oil and gas exploration and development. The technical solution provided by the embodiments of the present application differentiates shale sections and sandstone sections according to the depth curve of well logging and the corresponding first spontaneous potential curve; based on the borehole diameter curve of the collapsed section of the shale section, a first density change relationship is obtained to correct the density curve of the entire well section; on the basis of the above correction, based on the porosity curve of the sandstone section, a second density change relationship is obtained to correct the density curve of the sandstone section; by combining the curves corrected twice, overall correction of the entire well section and key correction of the sandstone section are realized, achieving accurate correction of the density curves of sandstone and shale in the case of poor quality of conventional well logging curves, large-area borehole diameter collapse, no standard layer and standard curves, thereby effectively improving the quality of well logging data.

The invention discloses a cementing wall-fixing agent while drilling as well as a preparation method and an application process thereof, belongs to the technical field of oilfield chemistry, and particularly relates to preparation of the cementing wall-fixing agent while drilling. The preparation method of the while-drilling cementing wall-fixing agent comprises the step of uniformly mixing and stirring the thermoplastic resin, the curing agent and the inorganic powder according to the proportion at normal temperature and normal pressure. The wall-fixing agent material is simple and safe in production process, low in material cost and convenient for large-scale production and application, and the product can block pores, reduce the filter loss, bond sand shale strata and improve the pressure-bearing capacity of the strata, so that the aim of stabilizing the well wall is fulfilled. The invention further provides an application process of the while-drilling cementing wall-fixing agent. The application process comprises an applicable drilling fluid system and dosage and construction processes under different formation porosities and different working conditions.

The present invention provides a geophysical identification method for mid-deep undercompacted low-velocity mudstone. By statistically analyzing data, representative P-wave velocity, S-wave velocity, and density of low-velocity mudstone and gas-bearing sandstone in well logging data are obtained. Combining geological information, a theoretical model of the superimposed relationship between low-velocity mudstone and gas-bearing sandstone is designed, and convolution forward modeling and prestack forward modeling are carried out on it. The post-stack and prestack seismic attributes of the model are calculated respectively. Then, sensitive attributes are optimized from these attributes, and the obtained sensitive attributes are used as learning samples, and the superimposed relationship is identified by probability self-organizing neural network clustering. The present invention adds prestack attributes to the optimization of sensitive attributes, making the fuzzy self-organizing neural network more accurate in identifying the superimposed relationship between gas-bearing sandstone and low-velocity mudstone, effectively distinguishing low-velocity mudstone from gas-bearing sandstone, and providing support for subsequent effective reservoir prediction.

The invention discloses a high-resolution seismic sequence division method for a river channel sand group, and relates to the technical field of petroleum and natural gas exploration and development. According to the method, a high-resolution sequence stratigraphy theory is taken as guidance, a flooding mudstone interface is taken as a marker bed, a high-density isochronous slice highly matched with seismic data is obtained, and an isochronous stratigraphic interface identification mark is constructed according to sand body development characteristics, so that the multiplicity of solution division of fluvial facies sand group seismic sequences is effectively reduced. According to the method, on the basis of isochronous stratigraphic division, the division scheme is adjusted according to the actual seismic homonymous axis form and the characteristics of the sand body on the well, the unit division result is more objective and fine, and therefore the method can be widely applied to seismic stratigraphic division of the fluvial facies sand group.

The present invention discloses a method and system for identifying low-velocity mudstone based on attribute clustering. It includes: by analyzing the logging data and seismic data of exploration wells in the work area, dividing the low-velocity mudstone into bright spot type and non-bright spot type, and analyzing their characteristics. Establishing a three-layer medium model and conducting seismic forward modeling to obtain the seismic response characteristics of different models. Then, extracting and optimizing seismic attributes from the forward modeling results. Using the CLARA clustering algorithm and the PAM method to conduct clustering analysis on the attributes to identify the types of low-velocity mudstone and gas-bearing sandstone. The present invention improves the identification accuracy of low-velocity mudstone and gas-bearing sandstone, and provides technical support for exploration and well location deployment.

The invention relates to the technical field of methods for obtaining formation pressure through oil drilling, in particular to a method for obtaining formation pressure based on wellbore pressure difference and gas logging total hydrocarbon response characteristics, which comprises the following steps of: collecting and arranging logging data, logging gas logging total hydrocarbon data, drilling fluid density data and the like after three or more drilled reference wells in the same block are drilled; calculating the stratum pressure equivalent density of a reference well and the well bottom pressure difference equivalent density of mudstone sections with different burial depths according to the data, drawing a well bottom pressure difference-logging gas logging total hydrocarbon intersection trend chart, reading corresponding well bottom pressure difference equivalent density delta P coordinate data according to the trend chart, and calculating the well bottom pressure difference equivalent density delta P coordinate data according to the well bottom pressure difference-logging gas logging total hydrocarbon intersection trend chart. And finally calculating the stratum pressure equivalent density of the stratum mudstone section of the target well. According to the method, the drilled reference well and the positively-drilled target well which are located in the same block serve as processing objects, the formation pressure calculation method based on logging information and the wellbore pressure difference are combined with the gas logging total hydrocarbon response characteristics, the formation pressure of the positively-drilled target well is accurately obtained while drilling, and the method has the advantages of timeliness and accuracy.

The invention relates to a quantitative evaluation method and device for an opposite relation of two-disc same-set sand shale of a fault. The method comprises the following steps: acquiring a three-dimensional seismic data volume, drilling data and logging data of a target work area to draw a top surface structure contour map of a target sand body; carrying out reservoir rock physical analysis and reservoir inversion to draw a thickness contour map of the target sand body; analyzing and determining the coordinate, the horizontal fault displacement and the vertical fault displacement of each sampling point at the fault center of the top surface development fault of the target sand body according to the top surface construction contour map; determining coordinate data of two sand body thickness sampling points corresponding to each sampling point of the fault center so as to obtain the average sand body vertical thickness of the two sand body thickness sampling points corresponding to each sampling point of the fault center; and determining the sand shale contraposition factor of the fault area corresponding to each sampling point of the fault center, and carrying out quantitative evaluation on the contraposition relation of the two sets of sand shale in the same set. The method can quantitatively, rapidly and accurately complete the quantitative characterization and evaluation of the contraposition relation of the two-disc same-set sand shale of the fault.

The present invention relates to a method for predicting sandstone reservoirs in coal-bearing strata, belonging to the technical field of predicting sandstone reservoirs in coal-bearing strata. The present invention utilizes the difference in frequency attenuation of seismic waves propagating in sandstone and mudstone in coal-bearing strata. First, forward modeling is performed on the well logging data of the wells with measured sandstone reservoirs obtained to obtain the corresponding pre-stack gathers; then, the well logging data of the sandstone section in the well is replaced with mudstone well logging data, and forward modeling is performed again using the replaced data to obtain the corresponding pre-stack gathers; frequency analysis is performed on the pre-stack gathers obtained before and after replacement to determine the attenuation of the reflected waves in the sandstone section; the pre-stack gathers of the target area to be predicted are obtained, and sandstone prediction is performed on the target area according to the attenuation of the reflected waves in the sandstone section. The present invention does not require complex post-stack data processing, reduces the errors caused by data processing, and improves the prediction accuracy.

The present invention discloses a method, system, device and medium for intelligent prediction of low-velocity mudstone, including: calibrating the target layer by combining well logging data, and dividing the layer into background mudstone, low-velocity mudstone, gas-bearing sandstone and dry-layer sandstone. Based on the division results, a large number of datasets for neural network training are generated through geological body evolution. A convolutional neural network (CNN) is constructed, and the input data is normalized to prevent gradient explosion. By training the model, an optimized neural network model is obtained. Using the AVO prestack inversion technology, the longitudinal and transverse wave velocities and density parameters are extracted from the prestack seismic data to assist in the identification of low-velocity mudstone. The processed data is input into the trained model to achieve intelligent prediction of low-velocity mudstone. The present invention can effectively improve the identification accuracy of medium-deep reservoirs, avoid misjudgment caused by the "bright spot trap" of low-velocity mudstone, and provide reliable technical support for oil and gas exploration.

The utility model discloses a large longitudinal slope water-rich sand mudstone interbedding shield segment floating model test system. The large longitudinal slope water-rich sand mudstone interbedding shield segment floating model test system comprises a main body box, a ground stress loading system, a power system, a shield system, a grouting system, a water injection system, a monitoring system and a gradient leveling system. A shield system and model soil are contained in the main body box; the ground stress loading system and the water injection system are used for simulating a water-rich sand shale interbed environment by applying stress and water pressure to the model soil in the main body box; the power system can carry out construction simulation of different gradients by adjusting the tunneling direction of the shield shell, and meanwhile, the grouting system carries out grouting on the gap between the shield shell and the duct piece. The large longitudinal slope water-rich sand mudstone interbed shield wall post-grouting visualization and duct piece floating integrated model test is realized, and a shield tunnel wall post-grouting filling project in a water-rich sand mudstone environment can be reduced in size; and the duct piece floating rule and the tunnel longitudinal deformation mechanism in the shield tunneling process are obtained by feeding back the large longitudinal slope water-rich sand mudstone interbed physical field in real time.

The present invention relates to the field of disintegration testing technology, specifically a device for testing the disintegration characteristics of expansive mudstone, comprising a flat plate, a turntable rotatably connected to the top of the flat plate, a test box mounted on the turntable, an opening on one side of the test box, a plurality of water inlet holes on the other side of the test box, the test box filled with expansive mudstone, an optical fiber sensor embedded in the expansive mudstone, a water injection device mounted on the top side of the turntable, the water injection device injecting water into the expansive mudstone through the water inlet holes, a bracket mounted on the flat plate, a pressure device slidably connected to the bracket. The present invention has the following beneficial effects: the sedimentation and disintegration performance of the expansive mudstone can be tested, and the water injection position of the expansive mudstone can be changed, thereby testing the influence of moisture at different positions on the disintegration characteristics of the expansive mudstone. At the same time, the opening on one side of the test box is provided, so that there is no restrictive force on the expansive mudstone at this location. After applying a thrust in this direction to the expansive mudstone, the unilateral disintegration of the expansive mudstone can be tested.

The invention relates to the technical field of oil exploration, in particular to a complex shale strata lithology identification method based on logging information. The method comprises the following steps: determining lithology and classification of a coring sample through experimental means: mudstone, shale, siltstone, silty mudstone and marl-containing rock; logging curve response characteristics of different lithology in the shale bed series are extracted according to the lithology analysis result, and an average value is calculated; and performing fitting processing on a logging response parameter mean value or a parameter value after standardization of a mean value range, amplifying logging curve response characteristics of different lithologies, and further performing effective identification. According to the method for identifying the lithology of the complex shale bed series based on the logging information provided by the invention, aiming at the complex shale bed series, various lithology identification in the complex shale bed series can be accurately completed, so that the dessert section of the shale oil and gas reservoir is optimized, and the identification accuracy is improved.

The present application relates to a kind of quantitative evaluation method of tendency composite fault mudstone daub effect, which can accurately calculate and determine the sealing capacity of different fault dip tendency, stratigraphic dip tendency lower fault, realize the prediction and evaluation of oil and gas migration direction.This method is used in the strike-slip fault zone of Zhunzhong area and western depression area in Junggar Basin, the scale thrust fault of the middle section of the southern margin of Junggar Basin and the normal fault oil and gas fine exploration research in Xianhe area of Jiyang depression in Bohai Bay Basin, successfully predicted multiple fault-controlled oil and gas enrichment favorable zones, increased the drilling success rate by 30%, fully proved from the practice level that the technology is suitable for the fault sealing evaluation in China east and west, plays an important role in the prediction of fault-controlled oil and gas reservoir and fault migration path.

The present application relates to oil and gas exploration and development technical field, especially to a block stratum pressure prediction system and method based on three-dimensional seismic information, comprising a data acquisition module, a depth domain conversion module, a three-dimensional gridding work area modeling module, a dynamic lithology volume generation module, a sparse survey line compaction modeling module, a three-dimensional pressure field calculation module and a dynamic regulation and control module. The three-dimensional grid model with well location markers is constructed to realize full space coverage and eliminate the limitations of two-dimensional data. The sparse survey line strategy controlled by structural features is used to process pure mudstone node data, which significantly reduces the calculation load. Based on the dynamic lithology probability threshold, reliable data sources are screened, and the lithology correction coefficient of sandstone area is combined to improve the pressure prediction accuracy. The real-time drilling DC index is used to close-loop verify the prediction results and trigger the regulation and control instructions. The present application effectively solves the technical bottlenecks of insufficient spatial coverage, low calculation efficiency and large prediction deviation in complex geological structure area.

The application provides a calculation method of pore pressure of a tectonic compression formation. The calculation method of pore pressure of the tectonic compression formation comprises the following steps: S1, obtaining a density trend curve, and performing integral calculation on the density trend curve to obtain overburden pressure S V ; S2, determining total porosity POR of the formation based on acoustic logging, density logging, neutron logging or nuclear magnetic resonance logging; S3, analyzing characteristics of a target layer section to determine a tectonic compression coefficient ACm_C of the formation; S4, solving a pore pressure coefficient PP of a mudstone section based on a pore pressure model corrected based on the tectonic compression coefficient ACm_C; S5, determining a relationship between effective stress P eff and biot coefficient α and total porosity POR; and S6, inversely deducing a pore pressure coefficient of a reservoir section according to the relationship between the effective stress P eff and the total porosity POR. The application solves the problem of low calculation accuracy of the pore pressure calculation method in the prior art.

The invention relates to the technical field of petroleum geophysical exploration, and provides a reservoir forming period hydrocarbon source rock paleo-pressure quantitative prediction method and system, and the method comprises the steps: solving the stratum denudation thickness based on a mudstone compaction curve extrapolation method; obtaining the thickness of a terrain skeleton, constructing a binary function based on the stratum denudation thickness and the thickness of the terrain skeleton to analyze an approximate solution, and inverting the stratum paleo-burial depth for the logging paleo-burial depth; obtaining the total porosity of the hydrocarbon source rock according to the stratum paleo-burial depth; quantitatively predicting the single well paleo pressure of the hydrocarbon source rock according to the total porosity; the multi-well paleo pressure is obtained based on the single well paleo pressure, interpolation is performed according to the multi-well paleo pressure to obtain the plane paleo pressure, in this way, the accurate well logging compaction trend line is established, the accuracy and reliability of the prediction result are improved by considering the influence of the shear wave speed, and therefore the accuracy of predicting the paleo pressure of the hydrocarbon source rock in the reservoir forming period is improved.

The embodiment of the invention discloses a mudstone and shale reservoir type identification method and device, equipment and a medium. The method comprises the following steps: acquiring a target proportion of a target pore in a storage space of a test sample; the test sample is made according to a rock sample, the rock sample is obtained from a target stratum, the target stratum is a mudstone or shale reservoir, and the target pores are organic pores, inorganic pores and cracks; determining a target area corresponding to the target proportion of the target pore in a triangular chart; different areas in the triangular chart correspond to different proportions of target pores, and different areas correspond to different reservoir types; and determining the reservoir type corresponding to the target area as the reservoir type of the target stratum. According to the technical scheme, after the reservoir types are quantitatively divided, the reservoir types of the target stratum can be accurately recognized, and guidance and reference are provided for quantitative evaluation, exploration and development of oil and gas reservoirs.

The present application provides a monitoring and early warning method and device for pilot hole construction in soft rock mudstone formations, which relates to the field of mining engineering technology, including: constructing a profile of the mine stratum distribution to determine the pilot hole construction location; conducting pilot hole construction, collecting the borehole backflow status in real time, and performing mud feature analysis and backflow color collection; if the mud feature meets the predetermined mud feature or the backflow image meets the predetermined mudstone color, it is determined that the construction has reached the soft rock mudstone formation, and high-pressure water is injected into the pilot hole to form a cavity; the cavity meets the predetermined size constraint, grouting is injected into the cavity, and after filling, the pilot hole is continuously constructed until the construction is completed. The present application can solve the technical problem in the prior art that the pilot hole construction has safety risks due to the characteristics of the soft rock mudstone formation. By performing high-pressure grouting on the soft rock mudstone formation, problems such as hole blockage and pipe burial can be effectively avoided, thereby reducing the safety risks during the construction process and improving construction efficiency.

The present application relates to the field of slurry shield construction, and particularly to a test device and a test method for simulating slurry shield face disaster in composite stratum, comprising a model box, a shield system, a slurry generating system and a monitoring system; the present application discloses a test device for simulating slurry shield face disaster in composite stratum; the test device disclosed by the present application can be applied to round gravel-mudstone composite stratum; meanwhile, the present application adopts fluctuation type slurry pressure to supply slurry to the slurry bin; the actual working condition of the slurry shield can be better simulated, so that the test device disclosed by the present application can be used to reveal the passive failure mechanism of the round gravel-mudstone composite stratum slurry shield face, and provide technical support for the slurry burst early warning; meanwhile, the test device can provide indoor test ideas for the failure process of the shield face in similar binary composite stratum.

The invention discloses a loess-mudstone landslide sliding grading displacement measurement method and system, and the method comprises the following steps: collecting the multi-point displacement data of a landslide body, and carrying out the preprocessing of the data, and generating a standardized multi-measurement-point displacement data sequence; obtaining overall and local deformation states; extracting evolution trend, space consistency and sliding loss features to form a displacement feature set; inputting an improved continuous time hidden Markov landslide state model, and generating a sliding state evolution sequence; analyzing the evolution sequence to generate a grading judgment result; an included angle threshold method and a shear displacement gradient method are adopted to recognize a concave-convex body and a sliding belt, and a key area identification result is generated; and outputting a sliding grading judgment result, a displacement feature set and a key area identification result. According to the invention, fine grading identification of the landslide state and accurate locking of the key area are realized, and the accuracy and foresight of monitoring and early warning are improved.

The invention discloses an underground coal mine nearly-horizontal drilling annular channel pressurization wall protection device which is suitable for clear water drilling and formula flushing fluid drilling at the same time, when clear water drilling is used, the hole wall is supported by increasing annular pressure, hole wall collapse is reduced, and the underground coal mine nearly-horizontal drilling annular channel pressurization wall protection device is suitable for being used in stratums which do not collapse seriously. When the formula impact fluid is used for drilling into a broken stratum, on one hand, the stratum pressure is balanced, and on the other hand, an anti-sloughing wall protection layer can be formed in cooperation with the anti-sloughing formula flushing fluid, and hole wall collapse is further inhibited; the use of the formula flushing fluid can be promoted, and the drilling cutting carrying capacity of the flushing fluid is improved; in conclusion, when the hole shrinkage stratum is drilled, the annular pressure is controlled, the formula flushing fluid is properly filtered to enter a certain range in the hole wall, a filter cake is formed, drill jamming is effectively prevented, the drilling problem of the hole shrinkage stratum such as mud rock is solved, and the device is suitable for large-scale industrial use and popularization.

The invention relates to a quantitative evaluation method and system for premature senility fracture opening capability, and belongs to the technical field of oil-gas exploration, and the method comprises the steps: obtaining fracture related parameters in a research area; the fracture surface positive pressure in the fracture reservoir forming period is calculated according to the fracture related parameters; calculating the plastic deformation ultimate pressure of the fractured mudstone according to the fracture related parameters; according to the section positive pressure and the mudstone plastic deformation ultimate pressure, the opening capacity index of the fracture reservoir forming period is calculated; and dividing fracture opening capability evaluation grades according to the fracture reservoir forming period opening capability index so as to evaluate the premature senility fracture opening capability. According to the method, by calculating the section positive pressure and the mudstone plastic deformation ultimate pressure, quantitative calculation of the opening capacity index is achieved, the fault conduction opening capacity is converted from traditional experience-dependent interpretation into a computable, sortable and comparable quantitative index, and objectivity and consistency of evaluation results are improved.

The application discloses a sparse well area hydrocarbon source rock TOC prediction method and system, an electronic device and a medium, relates to the technical field of hydrocarbon source rock carbon content prediction, and comprises the following steps: establishing a virtual well in a well-free area; determining the seismic attribute of the virtual well based on a seismic attribute extraction method; determining the lithology of the virtual well based on the seismic attribute of the virtual well and a sandstone and mudstone lithology prediction model, and extracting the mudstone section of the virtual well; determining the longitudinal continuous TOC prediction value of the hydrocarbon source rock in the mudstone section of the virtual well based on a single-well longitudinal continuous TOC prediction model; and combining the longitudinal continuous TOC prediction value and the measured TOC value of the hydrocarbon source rock in the mudstone section of the virtual well to construct a three-dimensional TOC attribute body of the target sparse well area based on a preset geological condition constraint, so as to predict the TOC of the hydrocarbon source rock in the target sparse well area. The application realizes higher-precision quantitative evaluation and prediction of the TOC of the hydrocarbon source rock in the sparse well area.