935 results about "Petroleum" patented technology

The invention belongs to the technical field of geophysical methods, and particularly discloses a geophysical electromagnetic method data inversion method and system based on entropy constraint, and the method comprises the steps: dividing an inversion space, setting a conductivity value, and constructing an initial inversion model; a magnetotelluric regularization inversion objective function based on entropy constraint is constructed; and adopting a Gaussian-Newton method to minimize the magnetotelluric regularization inversion objective function, updating the initial inversion model, obtaining a conductivity model, and realizing magnetotelluric three-dimensional inversion. The method can achieve the effect of focusing inversion so as to obtain a high-resolution conductivity model with a clear boundary, and serves the fields of petroleum, mineral resource exploration and the like.

The invention relates to the technical field of sample analysis, and discloses a petroleum fractionating tower product analysis method and system based on a near infrared technology. Performing near infrared spectrum scanning on different batches of samples to obtain near infrared spectrum data of the different batches of samples, and preprocessing the near infrared spectrum data; and calculating optimal correction values of different batches of samples according to the preprocessed measured spectral intensity, obtaining key spectral characteristics of the different batches of samples, combining the measured spectral intensity corresponding to the key spectral characteristics and the optimal correction values into an input vector, and inputting the input vector into a pre-trained calibration model to obtain chemical property information of the different batches of samples. The chemical property information of the sample can be analyzed based on the change of the measured spectral intensity, the optimal correction value serves as a correction factor of an analysis result and is used for compensating the deviation in the analysis process, and the optimal correction value is added to the analysis result to offset the analysis deviation.

The invention relates to the technical field of petroleum engineering downhole tools and hydraulic anchor equipment, in particular to an anchoring pressure adjustable hydraulic anchor which comprises a body with a spherical mounting cavity, a plurality of groups of elastic anchor flukes, a universal cylinder core and a flexible diaphragm. A hydraulic cavity is formed in the universal cylinder core, a flexible diaphragm is fixed to the outer side, and the elastic anchor flukes are driven through hydraulic through holes. Under hydraulic driving, the flexible diaphragm expands to push the elastic anchor flukes to stretch out to achieve anchoring. And the universal cylinder core allows angular deflection, so that the adaptability to a bent or irregular shaft is enhanced. The flexible belt is connected with the universal cylinder core and the body to adapt to deviation, and the limiting ring is arranged to prevent excessive expansion from affecting work. The upper connecting cylinder and the body are detachably connected in a sealed mode, and maintenance is convenient. By means of the design, the problem that a traditional rigid structure hydraulic anchor is poor in angle self-adaptive capacity under complex geological conditions is solved, anchoring stability and environmental adaptability are improved, and the hydraulic anchor is suitable for various complex underground conditions.

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 development geology, and relates to a fractured low-porosity sandstone gas reservoir water invasion early warning method, which comprises the following steps of: acquiring static geological parameters and dynamic parameters which influence the fractured gas reservoir water invasion as evaluation indexes; determining a weight coefficient of each evaluation index; performing normalization processing on the evaluation indexes of different gas wells to obtain evaluation index parameters; based on the evaluation index parameters and the weight coefficient of each evaluation index, calculating the water invasion risk coefficient of each single well of the block by adopting a constructed mathematical model of the water invasion risk coefficient and the evaluation index; drawing a water invasion risk plane distribution diagram according to the water invasion risk coefficient of each single well in the block, and judging the water invasion risk; calculating the advancing speed of the near water body according to the water invasion risk coefficient; and predicting the future water breakthrough time of the gas well by adopting the prediction model based on the well spacing of the adjacent wells and the advancing speed of the adjacent water body. Quantitative evaluation of the crack non-uniform water invasion risk and accurate early warning of the gas well water breakthrough time are achieved.

The invention discloses a method, a system, equipment and a medium for evaluating the reservoir capacity of a tight gas reservoir, and relates to the technical field of petroleum and natural gas engineering. Comprising the following steps: acquiring actually measured Young modulus of each mineral component in a standard rock sample of a tight gas reservoir to be measured, and calculating theoretical Young modulus of each mineral component in the standard rock sample through a Young modulus calculation formula; combining the theoretical Young modulus with the actually measured Young modulus to obtain the mineral dispersity of each mineral component, and calculating the skeleton brittleness of each mineral component; measuring the total porosity and the effective porosity of the standard rock sample, calculating the effective porosity percentage of the standard rock sample, calculating the pore throat complexity of each mineral component, and calculating the pore throat effectiveness of each mineral component; and calculating a reservoir factor, and comprehensively evaluating the reservoir capacity of the tight gas reservoir to be tested. According to the method, the reservoir capacity of the tight gas reservoir is reflected through the numerical value of the reservoir factor, so that the evaluation result of the reservoir capacity of the tight gas reservoir is more accurate.

The invention discloses a deep shale dessert evaluation method based on a high-temperature and high-pressure rheological experiment, and relates to the technical field of petroleum and natural gas exploration and development. The invention provides a new thought about deep dessert evaluation: under the condition of simulating high temperature and high pressure of a deep stratum, macro and micro scales before and after shale rheology are compared and analyzed, and pore size distribution, adsorption and desorption characteristics and microstructure characteristics before and after a shale high-temperature and high-pressure rheology experiment are analyzed. The evolution characteristics of the pore structure in the deformation process are analyzed approximately dynamically, so that a deep shale dessert evaluation model is established preliminarily. According to the method, desserts of deep shale characteristics are developed, the source and storage of rich gas of shale gas and flow of a fracturing transformation and permeation enhancement mechanism under high temperature and high pressure are evaluated, and in other words, reservoir comprehensive evaluation before development is paid attention to in shale gas dessert evaluation or whether complex cracks are formed or not after shale fracturing is paid attention to more attention to shale gas dessert evaluation.

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 discloses an in-situ self-generating proppant for micro-cracks in a calcium-rich reservoir fracturing, and a preparation method and application thereof, and relates to the technical field of petroleum fracturing. The in-situ self-generating proppant for micro-cracks in a calcium-rich reservoir fracturing in the invention is suitable for calcium-rich reservoirs, and includes clean water, phosphate and acid, wherein, by volume fraction, the clean water is 50 to 80 parts, the phosphate is 10 to 30 parts, and the acid is 1 to 10 parts. The invention also proposes a preparation method and application thereof for in-situ self-generating proppant for micro-cracks in a calcium-rich reservoir fracturing. The invention injects a phosphate system into the formation fracturing cracks, utilizes the formation environment to perform hydrothermal synthesis in situ in the calcium-rich reservoir to generate in-situ self-generating proppant, solves the problem that the proppant is difficult to transport in the micro-cracks at the far end of the fracturing and the proppant is difficult to effectively support, realizes effective support for the cracks, improves the fracture conductivity of the rock, and lays a foundation for enhancing the efficiency and stability of the fracturing and production increase transformation of the calcium-rich reservoir.

The invention relates to the field of oil field treatment agents, in particular to a petroleum antibacterial clay stabilizer and a preparation method thereof, and solves the problems that in the prior art, a clay stabilizer is easy to separate from intermolecular layers of clay, a micromolecular clay stabilizer is poor in adhesion, and a macromolecular stabilizer is difficult to act on the intermolecular layers of the clay. The antibacterial clay stabilizer is obtained by mixing a slow-release neutralization solution and a stable factor solution, wherein the slow-release neutralization solution comprises polyvinylpyrrolidone, cationic metal release particles and a reducing agent; the stable factor liquid comprises stable factors, deionized water, glacial acetic acid, polyether polyol and a potassium hydroxide solution; the clay stabilizer disclosed by the invention not only can be conveniently inserted into clay layers with relatively small molecular weight, but also can effectively and stably retain colloidal molecules due to strong hydrophobicity of an external long chain, so that metal cations are stably and slowly released, and the anti-swelling effect of clay is enhanced.

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 discloses a reservoir parameter prediction method and device based on logging information and a storage medium, and relates to the technical field of petroleum earth exploration, and the key points of the technical scheme are that the method comprises the following steps: obtaining existing reservoir parameters and logging curve data of a work area; constructing a first sample set according to the existing reservoir parameters and the logging curve data, and performing normalization processing on the first sample set; constructing a convolutional neural network model, and training the convolutional neural network model to obtain an optimal intelligent model; constructing a second sample set for the unknown well, and predicting reservoir parameters of the unknown well through the intelligent model based on the second sample set; and performing interpolation and reverse normalization processing on the unknown well reservoir parameters, and outputting the processed unknown well reservoir parameters. By means of the prediction method, logging longitudinal correlation information can be reserved, the calculation error evaluation problem caused by the fact that the core reservoir parameters do not correspond to the logging curve depth is solved, and therefore the calculation requirement of the reservoir parameters in logging reservoir evaluation is met.

The invention discloses a shale rock mechanical characteristic analysis method, and relates to the technical field of petroleum and natural gas exploration, and the key points of the technical scheme are as follows: on the basis of rock physical experiment test and data analysis, designing experiments of organic geochemistry, physical properties, pore structures and mechanical parameters; conventional and imaging logging information is excavated by using an experimental depth; a continental facies shale strong heterogeneity physical property and pore structure logging evaluation technology, a continental facies shale gas layer different occurrence state gas content logging evaluation technology, a continental facies shale gas layer high-frequency phase change reservoir fracturing property logging evaluation technology and a continental facies shale gas layer logging comprehensive evaluation technology are developed and formed. And a well logging comprehensive evaluation technical system of the strong heterogeneous continental facies shale gas reservoir is established. By means of the method, shale gas reservoir distribution rule understanding can be formed, comprehensive combination of logging methods is achieved, field exploration and engineering application are effectively guided, and necessary logging evaluation technical support is provided for exploration and development of continental facies shale gas layers.

The invention belongs to the field of petroleum and natural gas engineering, particularly relates to a method and a system for converting XRF logging elements and mineral content, and aims to solve the problems of long time for judging the mineral content by XRD and low cost performance. The method comprises the steps that XRF logging element and XRD mineral content detection is conducted on a coring sample according to the well depth, and XRF logging element detection data and XRD mineral content detection data are obtained; classifying minerals corresponding to the coring samples to obtain mineral types, extracting elements of the mineral types, and screening the elements to obtain characteristic elements; performing linear regression analysis on the XRF logging element detection data corresponding to the characteristic elements and the XRD mineral content detection data corresponding to the characteristic elements to obtain mineral content models of different mineral types; and substituting XRF logging element data of any well depth into the model to obtain the mineral type content of the well depth. According to the method, the mineral type content can be judged according to the XRF logging elements.

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 discloses a comprehensive source discrimination method suitable for a complex clastic rock system, and relates to the technical field of petroleum and natural gas exploration and development. According to the method, the space imaging advantage of three-dimensional seismic data of a research work area on an underground geologic body is fully utilized, and the material source of a complex clastic rock system is comprehensively judged by recognizing the carrying process of sedimentary substances and combining the datum plane cycle, logging facies and rock facies achievements. According to the method, the carrying process of the sediment can be more effectively highlighted, and interpretation personnel can be helped to more effectively clarify a material source system. The method disclosed by the invention is suitable for comprehensive distinguishing research on the material sources of the complex clastic rock system, and is expected to be applied to lithofacies paleogeography recovery and mineral resource development of a multi-material-source system basin.

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 discloses a metamorphic rock surface porosity analysis and evaluation method, device, equipment and medium, and relates to the technical field of petroleum logging reservoir evaluation, and the method comprises the steps: preprocessing a rock debris sample, scanning the preprocessed rock debris sample, and obtaining a rock debris sample image; performing identification detection on mineral and background color edges in the rock debris sample image and rock debris gap image segmentation to obtain rock debris particles, and determining the total area of the particles; performing threshold truncation on the rock debris particles by adopting a threshold segmentation method, calculating pore areas in the rock debris particles, identifying cracks in the rock debris particles by adopting a maximum likelihood method, calculating crack areas in the rock debris particles, and calculating pore and crack areas by utilizing the pore areas and the crack areas; and calculating the surface porosity based on the total particle area and the pore and crack area, and analyzing and evaluating the imaging logging crack interpretation result and the surface porosity to obtain an analysis and evaluation result. The metamorphic rock surface porosity analysis and evaluation accuracy and efficiency can be improved, and metamorphic rock surface porosity analysis and evaluation complexity can be reduced.

The invention relates to the technical field of petroleum and natural gas exploration, in particular to an identification and division method for shale deposition cycles of different scales. Different-scale deposition cycles of shale may be controlled by different climate-driven mechanisms, and based on deposition rate evolution analysis, a depth domain is converted into a time domain by establishing a time scale; the method can compare the correspondence of dominant spectrum peaks in actual data with an eccentricity rate period, a slope period, an age difference period, a solar activity period and an El Nino-Southern oscillation period, breaks through the limitation that only single-scale shale deposition cycle analysis is focused in the prior art, and is based on multiple analysis and test means. The shale deposition cycle identification and division method from the ten-meter level to the meter level to the centimeter level to the millimeter level to the micron level is established, the precision of shale reservoir transverse comparison and small layer division is improved, and guidance can be provided for positioning of shale rich in organic matter.

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 belongs to the technical field of petroleum and natural gas exploration and development, and particularly relates to a method for multi-dimensionally analyzing a layering state of a water body of an ancient lake based on lamina features. The method comprises the steps of sample treatment, biological disturbance level grading, lamina thickness statistics, PCAS-based analysis test, lamina feature FIB-SEM three-dimensional reconstruction, lamina formation cause identification of lamina microcell elements and isotope verification, and fully combines the current advanced characterization and test technology. Qualitative and quantitative analysis evaluation is carried out on the layering state of the ancient lake water body from multiple dimensions of lamina layering performance, lamina thickness, lamina characteristics and lamina formation causes, the defect that the layering state of the water body is not accurately judged in a single dimension is overcome, and the characteristics of the internal microlayers and the spatial distribution condition of the internal microlayers are more visually displayed.

According to the method for predicting the reservoir water saturation by combining an ordinary differential equation and a neural network, logging data of a well are extracted from a petroleum reservoir geologic model, the logging data obtained after data preprocessing are firstly sent into a convolutional neural network for data feature amplification, then the logging data enter a long-short-term memory network to calculate the hidden layer state and the cell state, and the reservoir water saturation is predicted. Mainly, a fixed-step-length fourth-order Runge-Kutta method is used for numerical solution of a differential equation to obtain a new hidden layer state, so that the training prediction precision is improved, and finally, optimal model parameters are used for predicting the reservoir water saturation. According to the method, the dynamic change rule of effectively capturing the hidden state by introducing the ordinary differential equation is emphatically considered, the prediction precision and stability of the water saturation of the model are improved, and a more accurate basis is provided for the decision-making process of oil and gas field development.

The invention provides a quantitative prediction method for geomechanical parameters of a reservoir in a complex structure superposition area, and is suitable for the fields of petroleum and natural gas geology and rock mechanics. The method comprises the following steps: firstly, collecting drilling rock cores, conventional logging, imaging logging and three-dimensional seismic data in a complex structure superposition area, calculating rock mechanical parameters by utilizing experiments and logging, and constructing a single well rock mechanical parameter profile S0; then, fracture parameters are picked up, the relation f1 and f2 between fracture density of upper and lower walls of a fault and the distance from the fault and a fracture weakening rock mechanical property model F are established, S0 is converted into a rock mechanical parameter profile S1 under the actual stratum fracture-containing condition, and the relation between the rock mechanical parameter profile S1 and seismic attributes is established; and finally, constructing a natural fracture field and a rock mechanical field of the complex structure superposition area, and realizing quantitative prediction of reservoir geomechanical parameters. The method is comprehensive and rigorous in considered factors, high in operability and high in prediction result credibility.

The invention discloses a micro-fluidic chip for trace detection of petroleum substances in water and application of the micro-fluidic chip in a detection device, trace enrichment is performed on the petroleum substances in the water by utilizing the super-hydrophobic and super-oleophylic characteristics of a processed PDMS substrate, and trace detection of the petroleum substances in the water is realized. Comprising the steps of preparation of a PDMS cylindrical array substrate, wettability modification of the PDMS cylindrical array substrate, preparation of an integrated micro-fluidic chip, design and manufacturing of a portable fluorescence detector, and on-chip enrichment fluorescence detection of the micro-fluidic chip. According to the microfluidic chip with the PDMS cylindrical array substrate, trace oil drops in water can be enriched without a large number of samples and complex operation steps, and compared with extraction, acidification, dehydration and professional infrared spectrum equipment required by the national standard (HJ 637-2018 water quality petroleum and animal and vegetable oil determination), the microfluidic chip with the PDMS cylindrical array substrate can realize on-site rapid detection, and has the advantages of high sensitivity, high sensitivity and the like. The method does not need professional operation, is low in detection content, and has great significance for preliminary detection of water quality.

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 is suitable for the field of extra-deep and ultra-deep geotechnical engineering and petroleum engineering, and particularly relates to an extra-deep stratum parameter inversion and fracture prediction method based on Bayesian. By constructing a Bayesian inversion method combining a gradient lifting regression (GBR) machine learning model and a Markov chain Monte Carlo (MCMC) algorithm, deep rock mass mechanical parameter field distribution considering cross correlation among parameters is efficiently obtained, and accurate prediction of a well wall surrounding rock fracture area is achieved. Compared with the prior art, the method has the advantages of being high in prediction precision, wide in application range, high in calculation efficiency and the like, and reliable technical guarantee is provided for safe and efficient construction of ultra-deep drilling engineering.

The invention relates to the field of petroleum and natural gas engineering, in particular to a quantitative evaluation method for the brittleness of a deep coal-rock gas reservoir based on a fracture distribution state, which comprises the following steps: 1) coring the reservoir, making the reservoir into a standard rock sample, and drying the standard rock sample to constant weight; 2) acquiring the core cross section fracture distribution characteristics and the number of fractures of the standard rock sample, and calculating a natural brittleness index; 3) carrying out transverse and vertical region division on the cross section of the rock core, calculating a region crack complex coefficient for each divided region, and calculating a crack communication effective index according to the region crack complex coefficient; and 4) combining the natural brittleness index and the fracture communication effective index, calculating the comprehensive brittleness index of the coal bed gas reservoir, and performing compressibility evaluation. The coal seam crack distribution state is considered, and based on the natural brittleness index of the rock and the potential coefficient of the complex crack network formed by the regional cracks, the compressibility quantitative evaluation is realized from the static and dynamic double brittleness evaluation of the rock.

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 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.