588 results about "Petroleum" patented technology

The invention discloses a shaft operation state intelligent prediction method based on a hybrid deep learning framework, and belongs to the field of petroleum engineering oil-gas field development engineering, and the method comprises the following steps: building a geological sequestration shaft transient temperature-pressure coupling mathematical model, and carrying out the numerical solution; constructing a double sequence feature database covering CO2 injection and leakage working conditions; adopting a parallel architecture to process the double sequence features to construct an improved double attention network; the method comprises the following steps: establishing a hybrid deep learning framework DT-DANet by coupling an improved double attention network and a time fusion Transform; and carrying out collaborative optimization training on the hybrid deep learning framework by adopting a composite loss function, wherein the output of the framework is a wellbore pressure profile, a temperature profile and phase state distribution under different time steps. According to the method, high-precision prediction of shaft multi-parameter dynamic evolution in the CO2 geological storage process is realized.

The invention belongs to the technical field of petroleum and natural gas engineering, and particularly relates to a priori knowledge embedded unsupervised learning geology-engineering dessert comprehensive evaluation method, which comprises the following steps: S1, obtaining an evaluation data set of a research area, and preprocessing and standardizing the evaluation data set; s2, dividing the evaluation data set into a positive index and a negative index according to the prior knowledge, constructing positive and negative ideal points through the prior knowledge, and fusing to generate an unsupervised evaluation data set; s3, clustering is carried out on the unsupervised evaluation data set by adopting principal component analysis and an incremental online k-means algorithm; and S4, according to category labels obtained by clustering, determining geological-engineering dessert grades by adopting a standardized variable distance grading evaluation method, and carrying out segmented clustering optimization and perforation position optimization on the geological-engineering dessert grades. According to the method, a supervised evaluation effect is achieved through an unsupervised algorithm, comprehensive evaluation of the dessert of the fractured horizontal well section is achieved, and the problem of unlabeled data evaluation is effectively solved.

The invention relates to a petroleum polluted soil polycyclic aromatic hydrocarbon migration path simulation experiment system, which comprises a main reaction cabin, a mechanical arm collaborative operation module, a multi-mode sensing module, a whole natural environment regulation and control module and an edge intelligent decision-making platform, an annular magnetic suspension track is arranged at the top of the main reaction cabin, and a soil sample chamber is arranged at the bottom of the main reaction cabin; the multi-modal sensing module comprises an EIT (electrical impedance tomography) module, an LIBS (laser-induced breakdown spectroscopy) module and a terahertz time-domain spectroscopy module and is used for measuring global conductivity distribution of soil in a soil sample chamber, inverting the porosity of the soil sample and a pollutant concentration field in pore water, analyzing the concentration of carbon, hydrogen and oxygen elements of pollutants and specifically detecting polycyclic aromatic hydrocarbon molecules; the edge intelligent decision-making platform interacts with the multi-mode sensing module, the full-natural-environment regulation and control module and the mechanical arm collaborative operation module to actively adjust system parameters, and repair intervention is carried out on soil body degradation. And automatic preparation of the polluted soil can be realized, and migration monitoring under different practical engineering application working conditions can be realized.

The invention belongs to but is not limited to the technical field of petroleum engineering, and particularly relates to a shale reservoir polymer fracturing fluid retention characteristic analysis method and system, and the method comprises the following steps: S1, carrying out a displacement experiment by using polymer solutions with different molecular weights and concentrations; s2, the retention condition of polymers in the rock core before and after displacement is observed through a micron CT and scanning electron microscope technology; and S3, analyzing the influence of the polymer solutions with different molecular weights and concentrations on the retention characteristics in the shale reservoir. The invention aims to carry out a displacement experiment on the rock core by using polymer solutions with different molecular weights and concentrations, and then observe and compare the polymer solutions of the rock core before and after displacement by using equipment such as a CT scanner and an electron microscope, so as to obtain the retention and migration conditions of the polymer in the hole seam of the rock core. The retention characteristics of fracturing fluid polymer molecules in a microporous structure and a matrix are studied, so that a correct polymer molecular weight range is provided for reservoir transformation, fracturing fluid reservoir damage is reduced, and the fracturing yield increasing effect is finally improved.

The invention provides an electric logging data normalization processing method and equipment based on X-ray diffraction (XRD) mineral constraint, and belongs to the field of petroleum logging engineering.The method comprises the steps that test data of mineral composition parameters and cable logging data of rock physical property parameters are obtained, and the mineral composition parameters at least comprise rock mineral composition obtained through X-ray diffraction testing; based on the test data of the mineral composition parameters, determining calculated values of the rock physical property parameters by utilizing a volume summation method; judging whether the calculated value of the rock physical property parameter is completely matched with the cable logging data of the rock physical property parameter or not; if the judgment result is incomplete matching, performing normalization processing on the cable logging data of the rock physical property parameters based on the calculated values of the rock physical property parameters; otherwise, the normalization processing is not carried out. Through the method provided by the invention, all system errors of the cable test data can be reduced, so that the cable logging information can more accurately reflect the physical properties of underground rocks.

The invention belongs to the technical field of petroleum pipe engineering structure safety, and discloses a method and system for predicting the strength of a casing under the temperature-pressure alternating working condition, and the method comprises the steps: building a casing physical parameter calculation model, calculating coupling alternating parameters, carrying out a thermal-mechanical coupling alternating test, and obtaining casing yield strength test data. Obtaining microstructure characteristic experimental data influencing the strength of the casing, and obtaining a training sample; constructing a casing yield strength prediction model fusing physical constraint and data driving, and training the prediction model through the training sample; and predicting the yield strength of the casing through the prediction model. According to the method, the coupling alternating parameter load is used as the load condition of the thermal coupling alternating test to obtain the microstructure characteristic experimental data, the microstructure characteristic experimental data is used as the sample data, and the sample data has load, temperature and microstructure evolution characteristics at the same time, so that the prediction model obtained through training can accurately predict the yield strength of the casing.

The invention relates to the field of petroleum engineering, in particular to a method for evaluating the permeability damage degree of a low-permeability reservoir, which comprises the following steps of: 1) coring a target reservoir, and measuring by an experiment to obtain core mineral percentage content and rock mechanical parameters; 2) establishing a reservoir single proppant model, calculating the porosity change rate when the single proppant is embedded, and establishing a mechanical distribution function of the whole proppant and the rock wall surface according to the percentage content of the core minerals and the mechanical parameters in the step 1); and 3) converting the change of the permeability of the reservoir when the proppant just enters the stratum and is in a stable state into porosity change by combining the single-particle pore change rate and the rock mechanical distribution function, calculating a porosity change index, and evaluating the damage degree of the reservoir. According to the method disclosed by the invention, the reservoir damage and permeability reduction caused by propping agent embedding due to stress change are converted into a porosity change index, and the mine scale reservoir permeability damage degree is indirectly evaluated.

The invention discloses a Fourier finite difference deconvolution imaging method based on inclination angle adaptive noise suppression, and relates to the technical field of geophysical exploration of petroleum. The method specifically comprises the following steps: designing a scattering point speed model to solve a partial point spread function of an underground space; solving a partial point spread function by a speed disturbance method; solving point spread functions of all positions of the underground space by carrying out Gaussian filtering technology and inverse distance weighted interpolation on part of the point spread functions; using a plane wave destruction method to solve the inclination angle attribute of the work area, and constructing an inclination angle self-adaptive diagonal diffusion Fourier finite difference migration method based on the inclination angle attribute to solve a high-quality initial image suitable for an inversion system; and performing multi-dimensional deconvolution in the wave number domain to obtain a final migration imaging result. According to the method, the point spread function is successfully introduced into Fourier finite difference imaging, and the resolution and deep amplitude of a conventional Fourier finite difference imaging method can be effectively improved.

The disclosure relates to compositions and methods that include tracer particles that include precursor particles isolated from a petroleum reservoir and a plurality of tags. The tracer particles can be used for different hydrocarbon reservoir applications, including determining the volume of water-filled pores between wells in a petroleum reservoir and tracking water flow through a petroleum reservoir.

The invention relates to the technical field of petroleum drilling engineering, and particularly discloses a drilling plugging agent as well as a preparation method and application thereof. According to the plugging agent, nano silicon dioxide and graphene oxide serve as a composite matrix, and the well drilling plugging agent with excellent dispersion stability, compact plugging performance, temperature resistance, salt resistance and reservoir friendliness is obtained through silane coupling agent graft modification and polymer copolymerization composite modification. The technical defects that an existing nano plugging agent is prone to agglomeration, poor in compatibility with drilling fluid, insufficient in extreme working condition resistance and the like are overcome, the preparation process is simple and controllable, the cost is relatively low, the plugging agent can be added into water-based or oil-based drilling fluid according to the mass ratio of 0.5-5%, the plugging agent is suitable for shale, deep high-temperature high-pressure high-salt complex stratums and the like, a compact plugging layer can be formed, and the plugging effect is good. Shale micro-cracks and deep stratum large cracks are effectively blocked, and the problems that a traditional blocking agent is prone to agglomeration, poor in extreme working condition resistance and the like are solved.

The invention designs an environment-friendly blowout device suitable for a high-salinity gas well, and belongs to the technical field of unconventional petroleum and natural gas extraction. The device comprises a two-stage concentric liquid remover and a combustion purification system which are connected in sequence. The two-stage concentric liquid remover realizes efficient separation of gas, liquid and solid phases through two-stage centrifugal separation. And a self-adaptive liquid discharge and gas control mechanism is arranged at the bottom of the two-stage concentric liquid remover, so that flow fluctuation self-adaptive sealing can be realized. Pretreated gas enters a combustion tank, is discharged through a torch pipe and is ignited, and generated combustion gas and solid particles are sprayed and purified in all directions and sprayed liquid is recycled through a spraying and recycling device above the combustion gas and the solid particles. The device integrates multiple technical functions such as buffering and pressure stabilizing, multi-phase separation, all-directional spraying purification, fire-liquid isolation, flow fluctuation self-adaption, automatic sealing, explosion prevention and fire retardance, the three-phase separation efficiency is remarkably improved, salting-out particles entering the environment are reduced, and equipment and technical supports are provided for green development of a hypersalinity gas well.

The present invention relates to the technical field of petroleum data statistical testing, and discloses a method for calculating oil and gas reservoir analog similarity based on statistical testing, comprising: obtaining a number of historical mixed samples and performing data cleaning on the historical mixed samples to obtain original mixed samples, each of the original mixed samples comprising original text-type geological data and original numerical geological data; converting the original text-type geological data into intermediate numerical geological data, the intermediate numerical geological data and the original numerical geological data together constituting an original full numerical sample; grouping the data fields of the original full numerical samples to obtain groupings and establishing an initial total similarity model; and assigning an optimal weight coefficient to the similarity corresponding to each group, thereby optimizing the initial total similarity model to obtain an optimal total similarity model. The present invention provides a more accurate reference for recovery rate and reserves.

The invention discloses a quantitative evaluation method for shale brittleness based on bedding characteristics, and relates to the field of petroleum and natural gas engineering, in particular to the quantitative evaluation method for the shale brittleness based on the bedding characteristics in the exploration and development process, and the quantitative evaluation method comprises the following steps: taking a rock sample from shale at a target layer to obtain the maximum Young modulus of a block; calculating a macroscopic brittleness index; processing the rock sample into a cuboid rock block for a nanoindentation experiment, calculating an interlayer heterogeneous coefficient between two corresponding adjacent probes according to mechanical parameters at the same transverse position between stratums so as to obtain a microscopic brittleness index, and calculating the total brittleness index of the rock by combining the microscopic brittleness index with the macroscopic brittleness index; microcosmic rock mechanics experimental data between different stratums of shale are tested on the basis of nanoindentation for the first time, heterogeneity between different stratums is quantitatively calculated, quantitative evaluation of shale rock microscopic brittleness is achieved, and compared with a conventional macroscopic evaluation method, quantitative evaluation is further improved.

The invention discloses a tunnel plateau complex geology accurate exploration method based on ultra-deep horizontal drilling, which comprises the following steps: step (1) horizontal drilling layout: selecting a construction site on the ground of a to-be-tunneled tunnel, and planning a horizontal drilling track along a tunnel line; (2) horizontal drilling and multi-dimensional geological exploration are constructed, specifically, according to the planned horizontal drilling track, a petroleum drilling machine is used for constructing horizontal drilling; logging operation is carried out in the horizontal drilling construction process, and comprehensive logging and transient electromagnetic detection are carried out after horizontal drilling construction is completed; and step (3), integration and analysis of geological exploration data information: integrating and analyzing the data information collected by multi-dimensional geological exploration, determining geological conditions along the tunnel line, and identifying geological abnormal sections. According to the invention, the problems of discontinuous exploration and poor accuracy of traditional vertical drilling and geophysical prospecting means can be solved, and high-precision and continuous exploration of geological conditions near the tunnel line is realized.

The invention belongs to the technical field of petroleum geological exploration, and relates to a logging lithology intelligent identification method and system based on well network position map structure learning and feature fusion, and the method comprises the steps: obtaining the original data of logging in a target work area, and carrying out the standardization preprocessing, the original data comprises logging data, well position coordinate data and lithology label data; according to the original data after standardization preprocessing, a well network position map structure is established; performing feature extraction on the well pattern position map structure by using a map neural network to obtain high-dimensional features; fusing the high-dimensional features with original logging features, and obtaining an enhanced feature set to train a lithology classification model; and utilizing the trained lithology classification model to predict the lithology of a to-be-identified well section, and outputting a lithology identification result of the to-be-identified well section. The lithology identification accuracy and the geological rationality can be obviously improved.

The present application belongs to the technical field of petroleum chemical industry, and particularly relates to a method suitable for diagnosing liquid loading of gas well, which comprises: judging whether the gas well is liquid loading by critical flow rate method; judging whether the gas well is liquid loading by dynamic energy factor method; judging whether the gas well is liquid loading by pressure gradient method; judging whether the gas well is liquid loading by flow state method; judging whether the gas well is liquid loading by IPR method of water production gas well; judging whether the gas well is liquid loading by deliverability test method; and judging the degree of liquid loading of the gas well. The present application realizes accurate prediction of the dynamic of liquid loading of the gas well by studying the diagnosis technology of liquid loading of the gas well and complementarily verifying different methods, forms a set of targeted and high-compliance liquid loading diagnosis method of the gas well with multiple factors, provides technical support for determining the intervention time of drainage gas recovery measures and formulating scientific and reasonable drainage gas recovery measures, realizes the purposes of improving the liquid discharge capacity of the gas well and prolonging the stable production period of the gas field, and thus ensures normal and stable production of the gas well.

This invention discloses a method and system for calculating the exploitable reserves of multi-layered gas reservoirs, belonging to the field of oil and gas development technology. The method includes the following steps: evaluating the dynamic reserves of multi-layered syndicated gas wells; calculating the contribution ratio of stratified production at different production times of the gas well; based on the contribution ratio of stratified production, and according to the monthly single-point stratified production splitting coefficient, calculating the daily production splitting coefficient through linear interpolation, and combining it with the daily production of the gas well to calculate the daily production of each sub-layer, and accumulating the cumulative production of each sub-layer; based on the cumulative production of each sub-layer, calculating the cumulative gas production ratio of each stratum, and combining it with the dynamic reserves calculation results of the gas well, determining the exploitable reserves of the strata. This method provides a prediction method for the exploitable reserves of multi-layered gas reservoirs. Based on the dynamic and static parameters of the gas well sub-layers and the stratified production capacity, this method calculates the exploitable reserves of multi-layered syndicated gas wells, and can effectively guide the prediction of the exploitable reserves of multi-layered gas reservoirs.

The utility model discloses a kind of petroleum chemical oil-water mixture sampling separation devices, it is related to oil-water separation technical field, including machine body, the inside of machine body is separately provided with filter chamber and separation chamber, and filter chamber and separation chamber are mutually through, the inside of the filter chamber is equipped with filter screen, cleaning assembly is provided in the top of filter screen, the right side outer wall of machine body is fixed with oil tank, the inside of oil tank is provided with oil scraping assembly.The utility model is driven hollow connecting plate with scraper to move circumferentially on filter screen by being set as power source and the auxiliary of round bar, bevel gear one, bevel gear two, hollow rotating rod, to remove impurities on the outer surface of filter screen, prevent from happening block, reach the effect that it is convenient to clean, to improve practicality.

The invention discloses an abrasive water jet rock breaking simulation method based on a DEM-CFD coupling method. Establishing an EBPM bonded rock mass discrete element model through a discrete element DEM, and calibrating mesoscopic parameters through a virtual mechanical test; simulating a water-abrasive two-phase flow through fluid dynamics CFD, and adopting a Gidaspow drag force model; the DEM-CFD bidirectional interface realizes real-time coupling; carrying out post-treatment to extract an erosion morphology and a crack network; the method can effectively simulate the rock mass fracture process and the large deformation behavior in the water jet rock breaking process and reveal rock mass damage evolution from the microscopic scale, and can be widely applied to research of water jet assisted rock breaking in the fields of civil engineering, mining, petroleum energy, marine resources and the like.

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 present application provides a kind of thin coal seam reservoir identification method, system, storage medium and equipment, belong to petroleum and natural gas exploration and development field.The method is: for the determined target interval, the full reflection coefficient sequence of thin coal seam is calculated in combination with well logging data and one-dimensional forward modeling is carried out to obtain the waveform and energy of thin coal seam reservoir, then the reservoir reflection coefficient sequence after removing coal seam is obtained and one-dimensional forward modeling is carried out to obtain the waveform and energy of the reservoir after removing coal seam, the reservoir identification characteristics are determined by comparing the energy change of the two reservoirs.The present application determines the identification and prediction in the thin coal seam development area without removing coal seam by analyzing the characteristic change of reservoir identification before and after thin coal seam, improves the identification accuracy of thin coal seam reservoir, so as to carry out efficient oil and gas exploration and development.

The disclosure relates to compositions and methods that include tracer particles that include precursor particles isolated from a petroleum reservoir and a plurality of tags. The tracer particles can be used for different hydrocarbon reservoir applications, including determining the volume of water-filled pores between wells in a petroleum reservoir and tracking water flow through a petroleum reservoir.

The invention relates to the technical field of oil exploitation, in particular to a functional bacteria oil displacement optimization injection-production system which comprises a strain environment adaptation module, a bacteria attachment behavior evaluation module, a bacteria liquid diffusion boundary recognition module, a driving period boundary judgment module and a space injection-production direction allocation module. According to the method, the well group temperature and pressure data is subjected to structured extraction and screening, so that the applicable geological unit can be quickly identified in combination with physiological needs of target strains, metabolic delay or inactivation caused by environment mismatching after the strains are injected is avoided, the propagation range of the bacterial liquid is effectively identified, and the flora efficiency attenuation period is determined in combination with the concentration change of an emulsified product; according to the method, injection-production cycle limit setting is guided, continuous output of strain activity is guaranteed, an effective injection-production path is reversely deduced through the time sequence coincidence relation of liquid injection and liquid production behaviors, the bacterial liquid guiding precision and the oil displacement covering efficiency are improved, and cooperative improvement of strain adaptability, injection-production precision and diffusion effectiveness is integrally achieved.

This application provides a method for preparing test samples of fractured rock, relating to the field of petroleum geological exploration technology. The method includes: preparing a predetermined number of test samples based on different water-cement-sand-gravel ratios, and identifying target test samples; scanning the fracture profiles of the fractured rock and printing fracture surface molds for each fracture profile; printing cement casting molds corresponding to the fractured rock according to its external dimensions and the distribution of fracture profiles within it; placing the fracture surface molds into the cement casting molds and positioning plates into corresponding groove groups to limit the position of the fracture surface molds; and pouring target cement, prepared according to the water-cement-sand-gravel ratio corresponding to the target test sample, into the positioned cement casting mold to obtain the test sample corresponding to the fractured rock. This application uses this method to produce test samples that more closely approximate the mechanical properties and fracture structure of fractured rock.

The present invention discloses an adaptive scale coarsening method for logging-while-drilling curves, belonging to the field of logging-while-drilling data processing in oil and gas exploration and development, including: intelligently analyzing logging curves through deep learning technology and dynamically adjusting the coarsening strategy to achieve the collaborative optimization of data dimensionality reduction, noise filtering, and retention of key geological features. The present invention is applicable to multiple scenarios such as intelligent directional drilling, reservoir parameter calculation, 3D geological modeling, and well-seismic joint inversion, and involves technical fields such as signal processing, deep learning, and geological data analysis. The cross-integration of these fields makes the adaptive coarsening of logging curves possible, laying a technical foundation for improving the efficiency of logging data processing and the accuracy of geological interpretation.

The invention discloses a gas leakage detection device for petrochemical engineering safety production. The gas leakage detection device comprises a gas leakage detector, an auxiliary lighting mechanism and a holding mechanism, the auxiliary lighting mechanism comprises a supporting plate fixedly connected to the gas leakage detector, and one side of the supporting plate is rotationally connected with a rotating shaft; according to the gas leakage detection device for petrochemical engineering safety production, an auxiliary lighting mechanism and a holding mechanism are arranged on a gas leakage detector, so that a rack can drive a gear to rotate after moving, and a rotating shaft can drive an anti-explosion lighting lamp to adjust the angle; the two movable plates can drive the limiting plates to abut against the inner wall of the first groove under the limiting effect of the springs, so that the position of the rack after movement can be fixed; through the arrangement, the gas leakage detector has handheld and auxiliary lighting functions, so that the gas leakage detector is more convenient to detect an area with insufficient light in a petrochemical industry production environment.

This invention relates to the field of oil drilling and production, and discloses a drilling and production acquisition structure support frame, comprising a positioning cylinder (1), a support cylinder (2), and a fixing cylinder (3) fixedly arranged sequentially from bottom to top. The drilling and production acquisition structure to be supported passes through the three cylinders. The positioning cylinder (1) is used for positioning the bottom of the drilling and production acquisition structure; the support cylinder (2) is used for supporting the drilling and production acquisition structure in the middle; and the fixing cylinder (3) is used for clamping and fixing the drilling and production acquisition structure at the top. The drilling and production acquisition structure support frame provided by this invention can fix the drilling and production device from various directions through the clamping components. The position of the support cylinder can also be freely adjusted in the vertical direction. The positioning cylinder is equipped with a positioning clamp to accurately position the drilling and production acquisition mechanism at the bottom. The overall support frame provides a stable support and fixation effect, and is suitable for fixing drilling and production devices of different diameters and heights, with a wide range of applications.

The invention discloses a phased array detection process and verification method of a gas production tree drift diameter flange sealing surface simulation test block, and relates to the technical field of petroleum and natural gas wellhead device detection, and the phased array detection process comprises the following steps: S1, obtaining a test block design reference; s2, obtaining sound velocity parameters and baseline echo data; s3, obtaining a scanning parameter table matched with the defect type; s4, obtaining a TCG calibration curve and gain setting for detection; s5, obtaining original time sequence echo data and imaging data; s6, generating a final detection result and a verification report; according to a defect type scanning scheme, 100% detection of sealing surface corrosion and bolt hole transverse and longitudinal cracks is realized, and no detection blind area exists; the quantitative precision is high, specifically, the defect quantitative error is controlled within + / -1.1 mm through targeted TCG calibration, and the precision is improved by 40% compared with that of a conventional process; based on a standardized verification process of a fixed model test block, different operators use the same equipment for detection, and the data variation coefficient is less than or equal to 5%; and the adaptability is high.