460 results about "Petroleum exploration" patented technology

The invention relates to the technical field of oil exploration, and discloses a rock mechanical parameter logging intelligent evaluation method considering continental facies shale fabric characteristics. The method comprises the following steps: 1, dividing shale lithofacies, identifying and determining the bedding development thickness of a sample through an optical microscope, determining a granularity experiment of the sample through granularity analysis, and forming mineral composition and bedding factor lithofacies division; 2, constructing a typical logging facies based on a rock electricity response relationship, and dividing the imaging logging facies of the research area according to natural gamma curves of conventional logging and imaging logging, core deposition structure characteristics and imaging logging image characteristics; 3, testing the longitudinal and transverse wave velocities and the porosity of different shale lithofacies, and calculating the dynamic elastic modulus and the Poisson's ratio. Through fine division and description, the method for accurately evaluating the bedding development condition, the particle size characteristics and the mineral components of the shale sample is provided, the testing time is short, the cost is low, and accurate evaluation of shale can be achieved.

The invention provides a surface wave information-based near-surface formation longitudinal wave velocity inversion method. The surface wave information-based near-surface formation longitudinal wave velocity inversion method comprises the following steps of: 1, extracting surface wave frequency dispersion data through a phase shift method; 2, according to the frequency dispersion curve, direct inversion is carried out to obtain the near-surface shear wave speed and thickness; step 3, calculating a W-D curve and a W / D-D curve; and 4, adding the W-D data and the W / D-D data into an objective function, and carrying out longitudinal wave velocity direct inversion. According to the near-surface formation longitudinal wave velocity inversion method based on the surface wave information, direct inversion of the near-surface formation longitudinal wave velocity can be achieved, information such as the transverse wave velocity, the formation thickness, the longitudinal wave velocity and the Poisson's ratio is obtained in the inversion process, and powerful research basis and support are provided for application of the surface wave information in oil exploration and engineering exploration.

The invention relates to the field of oil exploration, and particularly discloses a karst area oil exploration target optimization and resource quantity prediction method based on three-dimensional geological modeling. The method comprises the steps that firstly, seismic data, logging data and a rock core analysis result of a karst area are collected, data normalization and time-depth conversion are carried out, and a three-dimensional geologic model fusing structural constraints and physical property constraints is constructed; then multi-attribute indexes such as a coherent body, curvature, amplitude attenuation, deep lateral resistivity and interval transit time are selected, and karst development indexes are calculated through principal component analysis; in combination with parameters such as reservoir thickness, porosity, permeability, trap integrity and oil and gas display, utilizing a multi-index weighted scoring method to screen exploration favorable blocks; and finally, calculating reserves according to a volumetric method to obtain resource quantity prediction results of different target areas. According to the method, three-dimensional fusion modeling, multi-index quantitative optimization and chained calculation of multi-source data are realized, and quantifiable and traceable technical support is provided for oil exploration deployment in a karst area.

The invention belongs to the technical field of oil exploration, and discloses an oil exploration method adopting an intelligent oil exploration robot system. The method comprises the steps of collecting geological information data; analyzing the geological information data, and constructing a three-dimensional geological model; planning an exploration path based on the three-dimensional geologic model; according to the exploration path, controlling the exploration robot to perform drilling operation, and collecting drilling data; the drilling data are analyzed, and petroleum resources are evaluated; according to the invention, automation and intelligentization of the oil exploration process can be realized, the efficiency and accuracy of oil exploration are obviously improved, the operation risk and cost are reduced, systematic evaluation of the whole oil resource is realized, and a reliable basis is provided for subsequent development and utilization of oil.

The invention provides a fracturing digital twin platform construction method and device and a twin platform system. The method comprises the steps of obtaining fracturing equipment data to construct a fracturing equipment model library; acquiring scene data of a construction site, and constructing a fracturing scene model based on the scene data and the fracturing equipment model library; and importing fracturing real-time data into the fracturing scene model to form the fracturing digital twinborn platform. According to the method provided by the embodiment of the invention, digital and visual transformation can be carried out on the fracturing production process, transparency, visualization and virtual-real mapping of the whole fracturing production process are realized, and a complete virtual digital twinning service is provided. Furthermore, in cooperation with remote operation and maintenance and visual management of a user, the management level and control capability of an enterprise are improved, a fracturing remote management decision is improved to a new height, application and popularization of a digital technology in the field of oil exploration and development are promoted, and digital transformation and upgrading of oil exploration and development are promoted.

The invention discloses a formation collapse pressure prediction method based on a feature marking physical information neural network, and relates to the technical field of oil exploration and development. The method comprises the following steps: collecting multi-scale data of logging, earthquakes, cores and the like, and constructing a physical constraint framework in combination with a well track stress field model; a data enhancement module combining expert knowledge and a Beta distribution mixed strategy is utilized to carry out interpolation on missing values and generate an enhanced data set conforming to geological laws; a multi-head self-attention encoder comprising a feature word segmentation device and a Transform is constructed, original parameters are converted into embedded vectors, and deep interaction features are mined; a physical consistency measurement function based on a collapse pressure mechanism is introduced, and a total loss function containing data loss and physical loss is constructed for joint optimization. According to the method, the problem of geological sample scarcity is effectively solved, it is ensured that the prediction result meets the rock mechanics equilibrium condition, and the prediction precision and robustness of the complex formation collapse pressure are remarkably improved.

The invention belongs to the technical field of oil exploration seismic data processing, and discloses a data-driven pseudo three-dimensional imaging method. Carrying out demigration, data matching and three-dimensional gridding, sparse data inter-channel interpolation, data driving inclination angle weight factor constraint data reconstruction and data driving step-by-step iterative interpolation on the two-dimensional post-stack migration data to obtain a pseudo three-dimensional data volume, and establishing a pseudo three-dimensional velocity field through multi-information constraint; performing post-stack migration on the pseudo three-dimensional data volume by using the pseudo three-dimensional velocity field to obtain a migration result, and performing post-stack modification and high-resolution processing on the migration result to realize data-driven pseudo three-dimensional imaging; the invention also discloses a data-driven pseudo three-dimensional imaging device, equipment and a storage medium. The method is suitable for pseudo three-dimensional imaging of the old two-dimensional data, the utilization rate of the old two-dimensional data is greatly improved, the closing problem of different two-dimensional data is solved, and a more visual and convenient data body is provided for interpretation personnel.

The invention relates to a battery or battery pup joint fault detection method and device, computer equipment, a medium and application, and the battery or battery pup joint fault detection method comprises the following steps: obtaining the propagation time and signal amplitude of an ultrasonic pulse wave transmitted through the interior of a battery; and according to the propagation time and the signal amplitude of the ultrasonic pulse wave, comparing the preset propagation time with the preset signal amplitude, and judging whether the battery fails or not. According to the battery fault detection method, whether the battery fails or not is judged through the propagation time and the signal amplitude of the ultrasonic pulse waves in the battery in combination with an ultrasonic non-destructive detection technology, the detection process and the analysis process are simple, convenient and rapid, internal defects and potential hazards of the battery can be pre-judged and detected, and the detection efficiency is improved. In addition, the battery in use can be detected, and the practical economic practice value is achieved. The device is especially suitable for the technical field of oil exploration and development, and is especially suitable for detecting a high-temperature lithium battery short section used by a measurement-while-drilling instrument in the technical field of measurement-while-drilling instrument detection.

The invention discloses a horizontal well while-drilling method and system suitable for ultra-deep oil and gas reservoir development, and belongs to the technical field of oil exploration and development. (2) accurate target entering is guaranteed through a marker bed control method and a stable inclination top detection method; and 3) predicting the position of the drill bit after target entering to guide the adjustment of the horizontal well. The horizontal well track is adjusted in real time by measuring stratigraphic layering and well deviation data during drilling, the drilling rate of a reservoir can be effectively increased, and an effective technical means can be provided for efficient development of deep oil and gas reservoirs.

The invention relates to an oil-containing rock sample batch freezing device, an analysis system and an analysis method, and relates to the technical field of oil exploration. A plurality of samples can be placed on the sample plate provided with the plurality of sample cavities at a time, and the sample plate can be quickly frozen by introducing the refrigerating fluid into the first flow channel in the sample plate, so that low-temperature storage of all the samples is realized. The heat preservation box is of a split structure, the heat preservation box is kept in a closed state when the samples do not need to be taken, and the heat preservation box is temporarily opened under the action of the driving mechanism when the samples need to be taken, so that the samples are always in a low-temperature state, and the analysis result is prevented from being influenced by loss of light hydrocarbon components. The oil-containing rock sample batch freezing device is arranged on the pyrolysis instrument, the manipulator of the pyrolysis instrument can grab samples in the sample cavity nearby and send the samples to the detection mechanism for analysis, the time for exposing the samples in the air is short, the analysis efficiency is high, and the result is accurate.

The invention belongs to the technical field of oil-gas exploration and development, and provides a deep learning quantitative characterization method and system for the oiliness of a CT scanning oil layer. The method comprises the following steps: determining CT scanning parameters through an oil layer digital intelligent model to obtain an oil layer three-dimensional grayscale image, and comparing the oil layer three-dimensional grayscale image with an electron microscope image to establish a standardized three-dimensional digital model; establishing a deep learning standard model by using a convolutional neural network on the basis, and extracting parameters such as oil content and oil saturation; a judgment standard is determined according to sample experiments and analysis, evaluation standards and digital three-dimensional models of different types of oil layers are constructed, and then dominant target layer sections are screened out. The system comprises a data acquisition module, a model construction module, a parameter extraction module and an evaluation decision module and is used for realizing the method. According to the method, the problem of inaccurate existing measurement is solved, the authenticity and the accuracy of quantitative prediction of the oiliness of the oil layer are improved, the petroleum exploration and development efficiency is improved, and the cost is reduced.

The invention relates to the technical field of oil exploration and development, in particular to a method for quantitatively determining the completion probability of water-drive oilfield development and production allocation. The method comprises the steps of selecting a target water-drive oil field and determining a target research area, analyzing uncertainty factors influencing the yield scale of the target water-drive oil field and extracting key indexes, and counting historical development data of batch wells in the current year in the target research area, quantitative characterization is carried out on the key indexes, expected yield values of the target water-driven oil field under different probability conditions are calculated, the risk degree range of the production allocation yield of the target water-driven oil field is obtained, and a risk assessment model of the production allocation yield of the target water-driven oil field is established according to the range; and reasonably predicting the yield of the next target water-driven oil field to complete the task according to risk analysis and evaluation of the model on the production allocation yield of the target water-driven oil field. According to the method, the feasibility target of the target water drive oil field is formulated through scientific guidance, the yield risk is avoided in time, and planning deployment is adjusted in time.

The invention belongs to the technical field of oil exploration and development, and discloses a three-dimensional geological modeling method, which comprises the following steps of: firstly, dividing the transformation degree of an oil and gas reservoir development seepage field, and classifying and matching data at different stages divided by the transformation degree of the oil and gas reservoir development seepage field; according to different stages divided according to the transformation degree of the oil and gas reservoir development seepage field, a dynamic rock physics experiment is carried out, law statistical analysis and staging fitting are carried out according to the result of the dynamic rock physics experiment, dual-path modeling and fusion are carried out according to the obtained law statistical analysis, and a final dynamic model is obtained. Performing multi-parameter difference analysis calculation on the dynamic model; the invention further discloses a three-dimensional geological modeling device and equipment and a storage medium. The dynamic model established according to the method conforms to the actual oil and gas reservoir exploitation stage, is suitable for oil reservoir and energy storage reservoir construction with the recovery efficiency improved through various oil reservoir exploitation measures, and improves the model establishment precision.

The invention relates to the technical field of oil exploration and development, in particular to an intelligent field geological outcrop crack identification method based on a fusion algorithm, namely, a Canny edge detection algorithm is adopted to identify a crack distribution result in a field geological outcrop image; obtaining the size of a crack bounding box in the field geological outcrop image by adopting a YOLOv5 algorithm; and obtaining the crack length and the crack width according to the crack bounding box size. According to the method, the Canny edge detection algorithm and the YOLOv5 algorithm are fused to carry out field geological outcrop crack distribution identification and crack size calculation, so that the labor cost is greatly saved, the operation is simple, the identification is accurate, and the efficiency is improved for accurately describing the field geological outcrop crack.

The invention relates to a pressure-controlled drilling formation pressure calculation and control method and system based on multi-field coupling, and belongs to the field of oil exploration and development. The method comprises the steps that 1, an industrial personal computer is connected with a logging instrument, and basic data needed by calculation are obtained in real time; 2, shaft-stratum space domain grids are divided, and drill rod and annulus temperature distribution and stratum temperature distribution at different distances from a borehole are calculated; 3, considering the thermal-fluid-solid multi-field coupling influence, and calculating well circumference stresses at different well depth positions in elastic-plastic regions; 4, solving a real-time formation pore pressure profile after multi-factor coupling correction; 5, calculating real-time stratum fracture pressure profiles and collapse pressure profiles at the well walls at the different well depth positions after multi-factor coupling correction in the elastic-plastic areas; and 6, determining a bottom hole pressure control standard, calculating in real time based on a shaft hydraulic parameter calculation model, and controlling the wellhead back pressure in real time through an industrial personal computer. The method can effectively improve the calculation precision of the formation pressure during the pressure-controlled drilling period.

The invention relates to the field of petroleum geology in the petroleum exploration industry, in particular to a foreland thrust zone development and evolution method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining rock physical parameters of a to-be-determined region; performing biaxial experimental numerical simulation on the rock physical parameters to obtain microscopic parameters of different lithology or different stratums of the to-be-determined area; setting boundary conditions for the established geologic model, and carrying out a numerical simulation experiment according to regular changes of control variables of the geologic model to obtain a numerical simulation experiment result; and constructing extrusion according to a numerical simulation experiment result to obtain development and evolution of the foreland thrust zone of the to-be-determined area. By integrating limited geological and geophysical data, a geometric model and a geologic model can be established for a research area, and the forward modeling of the development and evolution process of the foreland thrust zone can be carried out by regularly adjusting partial parameters or anomalous bodies with relatively low cognition degrees.

A method for evaluating contribution of each component to shale oil reservoir resistivity at high temperature and high pressure is applied to the field of oil exploration and development. The method comprises the following steps: (1) analyzing the volume percentage of each clay mineral, the pore water content and the mineralization degree of the shale oil reservoir pressure-maintaining closed core; (2) when the fluid pressure is greater than 23MPa, measuring the resistivity of the pressure-maintaining closed rock core at each temperature point; (3) carrying out water balance treatment on pure clay minerals, namely kaolinite, montmorillonite, illite and chlorite, and measuring the resistivity at each temperature point when the fluid pressure is greater than 23MPa; (4) when the fluid pressure is greater than 23MPa, measuring the resistivity of each temperature point of the solution consistent with the mineralization degree of the pore water; and (5) constructing a resistivity evaluation model, and evaluating the contribution of each component to the resistivity of the shale oil reservoir under the condition of high temperature pressure.

The embodiment of the invention relates to the technical field of oil exploration and development, in particular to a shale reservoir compressibility calculation method, device and equipment, and the method comprises the steps: obtaining a rock sample of a shale reservoir on a construction site; calculating the bedding development index of the rock sample; the bedding development index represents the bedding structure development degree of the rock sample; performing a triaxial compression experiment on the rock sample under the simulated shale reservoir environment to obtain a brittleness index of the rock sample; the brittleness index represents the strain degree of brittle fracture of the rock sample; scanning the rock sample after the triaxial compression experiment to obtain a fractal dimension index of the rock sample; the fractal dimension index represents the space structure complexity of the three-dimensional crack in the rock sample; and calculating the compressibility of the shale reservoir according to the bedding development index, the brittleness index and the fractal dimension index. According to the embodiment of the invention, the compressibility of the shale reservoir can be accurately and quickly evaluated on the construction site by integrating the bedding structure development degree, the fracture strain degree and the space structure complexity of the rock sample.

The invention discloses a quantitative evaluation method and device for pore throat heterogeneity of a tight sandstone reservoir and a storage medium, and belongs to the technical field of oil exploration, and the quantitative evaluation method comprises the following steps: based on a core mercury injection experiment, obtaining mercury injection experiment data required for pore throat heterogeneity evaluation; processing mercury injection experiment data, calculating to obtain Lg (1-SHg) and LgPc, and drawing a cross plot of the Lg (1-SHg) and the LgPc; fractal intervals corresponding to different pore throats are intercepted through the cross plot; fitting the trend line of each fractal interval to obtain fractal dimensions corresponding to different fractal intervals; obtaining a relative fractal dimension of each fractal interval relative to the whole reservoir; based on the relative fractal dimension, parameters capable of comprehensively representing the anisotropism of the overall pore throat of the reservoir are obtained. The new parameters obtained by the method and used for characterizing the anisotropism of the whole pore throat of the reservoir provide technical support for comprehensively, accurately and quantitatively characterizing the anisotropism of the microscopic pore throat structure of the compact sandstone reservoir.

The invention relates to the technical field of oil exploration, in particular to a shale oil dessert evaluation system construction method and a shale oil dessert evaluation method.The shale oil dessert evaluation system construction method comprises the steps that geological characteristic parameters of a plurality of rock core samples are obtained; based on the geological characteristic parameters, determining main control influence factors of shale oil enrichment through a control variable method and correlation analysis; and establishing a dessert section quantitative evaluation system according to the master control influence factors. According to the method, on the basis of the geological parameter data of the sampled rock core, through the control variable method and the correlation analysis method, the sweet spot evaluation parameter system is established, the sweet spot section of the pure shale layer section is longitudinally divided, the favorable area can be further predicted, and the technical problem of the method faced by shale oil sweet spot selection is solved. The shale oil enrichment mechanism, dessert control factors and favorable zone evaluation in the research section are deeply understood; meanwhile, reference is provided for area selection, zone selection and exploration deployment of the pure shale type shale oil, and the field of exploration of the pure shale type shale oil is effectively expanded.

The invention relates to the technical field of continuous light dydrocarbon, in particular to a dynamic configuration device and method for a continuous light dydrocarbon standard sample. Comprising a device main body, a driving unit, a sample feeding assembly and a sample discharging assembly, the device main body comprises a constant temperature layer and a sample preparation bin which are arranged from outside to inside, the sample preparation bin comprises a first bin body and a second bin body, and the opposite ends of the first bin body and the second bin body are respectively connected with a driving unit; according to the device, automatic operation of the whole process can be achieved, and manual intervention intensity and operation errors are greatly reduced; the standard sample concentration output by the device is accurate, stable and good in repeatability, system errors caused by standard sample concentration deviation of the light hydrocarbon instrument can be effectively inhibited, errors of hydrocarbon component content detection are controlled within a low range, the reliability of oil-gas-water layer recognition and evaluation results is remarkably improved, solid data support is provided for oil exploration and development, and the method is suitable for popularization and application. And the exploration decision risk is reduced.

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 invention discloses an attention mechanism fused oil field oil saturation prediction method and a related device, and belongs to the technical field of oil exploration. Collecting reservoir influence factor characteristics to obtain a data set; establishing a Ctrl-CLSTM model according to the data set, and introducing an attention mechanism; giving different attention weights to reservoir influence factor characteristics and capturing reservoir production system spatio-temporal characteristics; and taking the oil saturation, the well location distribution and the injection-production working system as input of the Ctrl-CLSTM model, and predicting to obtain an oil saturation predicted value. According to the method, the network model fusing multivariate data is constructed, an attention mechanism is introduced to screen the influence degree of external factors on the saturation spatial and temporal distribution, the oil saturation distribution rule of the oil reservoir is accurately predicted, different production system modes are dynamically regulated and controlled, and saturation distribution prediction is more accurate and practical.

The invention discloses an inclinometer calibration method for oil exploration, and relates to the technical field of oil exploration. Comprising the steps of S1, setting up a calibration environment and fixing an inclinometer, S2, collecting data of a multi-attitude sensor, S3, calculating compensation parameters by a calibration algorithm module, S4, writing and preliminarily verifying the compensation parameters, S5, calibrating the adaptability of a temperature and humidity environment, S6, tracking and calibrating long-term stability, S7, compensating and calibrating magnetic field interference, S8, calibrating the precision of a data acquisition module, and S9, calibrating and accepting system joint debugging. Through the steps S1, S2 and S3, a basic calibration system with a stable environment, comprehensive data and accurate calculation is constructed, and the basic measurement accuracy of the inclinometer is remarkably improved; through the steps S5, S7 and S9, a scenarized calibration closed loop of environmental adaptation, interference resistance and actual combat verification is formed, so that the inclinometer can keep stable precision in a temperature zone of-20 DEG C to 60 DEG C, a wet zone of 30% RH-90% RH and a magnetic field interference environment, and the adaptability and reliability of the inclinometer in an actual exploration scene are greatly improved.

The invention relates to the technical field of oil exploration, in particular to a composite rock breaking configuration PDC drill bit which comprises a drill bit body. The multiple cutting ribs are arranged on the drill bit body and extend towards the central axis of the drill bit body, cutting blades are arranged on the two sides of each cutting rib, and cutting teeth and hard alloy teeth are arranged on the lip surfaces of the cutting blades; chip grooves are formed among the multiple cutting ribs, the height of the cutting teeth is larger than that of the hard alloy teeth, a preset height difference exists between the cutting teeth and the hard alloy teeth, and a preset distance exists between the cutting teeth and the hard alloy teeth in the width direction of the cutting ribs. The problems that PDC cutting teeth of a PDC drill bit selected in a similar well section with fierce interaction of flint, a gravel interlayer, a stratum and the like during well drilling are easy to crack and fast to wear; the problems that the drilling efficiency is low and the machine speed is too low when a roller bit is selected are solved.

The invention relates to the technical field of oil exploration logging data processing, and discloses a far exploration sound wave migration imaging data three-dimensional well trajectory correction method and related device.The method comprises the steps that horizontal well logging data are collected, coordinates of a well trajectory in space are obtained through calculation according to the horizontal well logging data, and the coordinates of the well trajectory are calculated according to the coordinates; the well track is drawn according to the coordinates of the well track in the space; generating migration imaging data in different directions according to the remote exploration acoustic logging data, and generating a migration imaging picture by using a color code according to the migration imaging data; the migration imaging picture is cut into a plurality of narrow strip pictures in the direction perpendicular to the well axis, all the narrow strip pictures are sequentially drawn into designed grids, migration imaging pictures generated by migration imaging data in different directions are sequentially drawn into a three-dimensional space, and horizontal well three-dimensional well trajectory correction of the migration imaging data is completed. According to the method, the accuracy of depicting the spatial relationship of geological reflectors such as stratum interfaces, faults and cracks near a horizontal well shaft by far-detection sound waves is improved.

The invention belongs to the technical field of oil exploration. The invention discloses a method for determining the age of extrusion resurgence geology of a backlash structure of an ancient and buried hill in a broken basin, and the method comprises the steps: determining the top surface of the ancient and buried hill and the trend of a regional normal fault on a three-dimensional seismic data body of the broken basin subjected to three-dimensional inclination median filtering processing. And determining a thrust fault on a seismic section basically parallel to the trend of the regional normal fault. And recognizing the reverse thrusting anticline structure according to the morphological characteristics of the top surface of the ancient diving mountain. And identifying a slope edge seismic facies, an upper super-irregular seismic reflection interface and a seismic reflection interface corresponding to a fault displacement vanishing point of the thrust fault on an overlying stratum of a footwall of the thrust fault. And determining the starting time and the ending time of the extrusion resurgence of the thrust fault, and determining the geological time stage between the starting time and the ending time as the geological age of the extrusion resurgence of the ancient buried hill thrust structure of the fault basin. By means of the method, the ancient buried hill recoil structure of the broken basin and the geological age of extrusion resurgence of the ancient buried hill recoil structure can be accurately recognized.

The utility model relates to the technical field of oil exploration drilling equipment, in particular to oil exploration drilling equipment with a drill bit convenient to replace, which comprises a base, a fixing nail, a hydraulic rod, a connecting cylinder, a driving motor, a connecting rod, a fixing cylinder, a fixing seat and an excavating drill bit. Multiple sets of fixing nails are arranged at the bottom of the outer side of the base, a hydraulic rod is arranged on the inner side of the upper portion of the base, a connecting cylinder is arranged at the bottom of the hydraulic rod, a driving motor is arranged in the connecting cylinder, a connecting rod is arranged at the bottom of the connecting cylinder, a fixing cylinder is arranged at the bottom of the connecting rod, and a fixing base is arranged at the bottom of the fixing cylinder. Excavating drill bits are arranged at the bottom of the fixed seat; by adding the structure convenient to disassemble and assemble, the drill bit can be quickly disassembled for replacement when drill bits with different diameters need to be replaced or the drill bit is damaged, meanwhile, the drill bit with the replaceable excavating part is used, only parts at the excavating part are replaced when the drill bit is abraded, equipment needing to be carried is reduced, and the cost is reduced. And the practical value of the device is increased.

This disclosure relates to the field of petroleum exploration and development technology, and in particular to a method and system for determining bottom water intrusion characteristics. The method includes: determining the water permeability and the correlation coefficients between the matrix and fractures in a target block of a fractured sandstone gas reservoir; establishing and solving a mathematical model for cylindrical bottom water intrusion in a single well of the fractured sandstone gas reservoir based on the determined water permeability and the correlation coefficients between the matrix and fractures, obtaining a pressure function representing the difference between the original water pressure and the pressure at any point within the gas reservoir; using the obtained pressure function, determining the dimensionless bottom water intrusion volume; and determining the cylindrical bottom water intrusion characteristics of the dimensionless bottom water intrusion volume with respect to dimensionless time based on the determined dimensionless bottom water intrusion volume. By establishing a mathematical model of bottom water intrusion and calculating the cumulative water intrusion volume, the bottom water intrusion characteristics are determined, enabling an understanding of the entire dynamic process of bottom water intrusion in the reservoir.

This invention belongs to the field of petroleum exploration technology, specifically disclosing a formation pressure prediction method and system based on PSO-CNN-RF-ABKDE. The method includes: collecting logging data of deep abnormal pressure zones in the target well and adjacent wells, regional geological data, and measured pore pressure data from adjacent wells; preprocessing the acquired data; constructing a PSO-CNN-RF model; quantifying the uncertainty of the n-value prediction using the adaptive bandwidth kernel function density estimation ABKDE algorithm; outputting the n-value confidence interval by fitting the residual probability distribution; classifying the formation pressure risk level by combining the general pressure coefficient threshold for deep abnormal pressure; and substituting the n-value confidence interval into the PSO-CNN-RF model to obtain the predicted formation pressure result and mapping it to the specific formation pressure risk level. Compared with existing technologies, this invention achieves a direct mapping between prediction results and risk levels, quantifies uncertainty while clarifying control requirements, and provides a full-chain technical support of "prediction-quantification-control" for drilling safety in deep abnormal pressure zones.