15 results about "Multiple fracture" patented technology

The invention discloses a tight sandstone shear wave prediction method based on a fluid saturation dual fracture coupling model, and relates to the technical field of earth exploration physics. According to the method, a saturated rock physical model containing two groups of vertical orthogonal fracture fluids is constructed based on a Chapman multi-scale fracture medium theory framework, and an inter-fracture fluid mass distribution function is introduced to construct a dual-fracture coupling model based on fluid saturation. According to the method, conventional logging information is used as prior information, a rock physical model is used as a drive, an actual longitudinal wave speed and a simulated transverse wave speed are used as nested constraint conditions, a transverse wave speed prediction objective function is constructed, the tight sandstone transverse wave speed and the reservoir multi-group fracture density are estimated, a simulated annealing particle swarm optimization algorithm is introduced, and the reservoir multi-group fracture density is predicted. And the global optimization capability and the local convergence efficiency are enhanced. According to the method, the shear wave velocity prediction error can be effectively reduced, meanwhile, reservoir microstructure parameters are provided, and effective support is provided for reservoir fluid property judgment, lithology accurate recognition and underground fracture system quantitative description.

This invention relates to the field of oil and gas reservoir geological exploration technology, specifically a method for identifying multiple fracture stages in buried hill oil and gas reservoirs based on tectonic stress field evolution. The method includes the following steps: Tectonic evolution history analysis step: Geological data of the target buried hill oil and gas reservoir area are systematically collected. Based on seismic profiles, stratigraphic contact relationships, tectonic deformation characteristics, and chronological data, a comprehensive analysis is conducted to construct a multi-stage tectonic evolution history of the area from the Paleozoic to the Cenozoic, accurately determining the geological age and tectonic nature of each key tectonic event. Compared to existing technologies, this application establishes a quantitative discrimination model based on mechanical principles through paleostress field numerical simulation and quantitative prediction of theoretical fracture parameters. This standardizes and quantifies the fracture stage identification process, significantly reducing the uncertainty caused by human factors, improving the objectivity and repeatability of the discrimination results, and achieving a leap from qualitative analysis to quantitative discrimination.

The invention discloses an automatic plugging device and method for a regeneration crack of a roadway protection coal pillar, and the device comprises a plurality of groups of grouting systems which are respectively installed in drill holes of a coal wall; the slurry supply system is connected with the conveying pipeline system; a plurality of groups of pressure monitoring systems are arranged; the slurry supply system and the pressure monitoring system are connected with the control system; the audible and visual alarm is connected with the control system; a liquid level detection unit is installed in the slurry supply system, and an electric ball valve is arranged on the conveying pipeline system. The method can effectively cope with expansion of multiple fractures of the coal pillar caused by mining-induced stress, can automatically perform grouting and plugging, reduces the construction times of coping with regenerated fractures, and reduces the drilling construction cost.

The embodiment of the invention provides a fracture identification description method based on frequency and maximum likelihood attributes, and belongs to the technical field of oil reservoir development. The method comprises the following steps: processing seismic data corresponding to a target area by using a frequency division phase analysis technology to generate a plurality of frequency division data volumes; performing filtering processing on the plurality of frequency division data volumes to generate corresponding filtering volumes; calculating a maximum likelihood body according to the filtering body, and dividing the maximum likelihood body based on a fault plane direction scale and a fault inclination angle direction scale to generate a plurality of fracture data bodies; and determining a target fracture area based on the fracture data volume. According to the fracture identification description method based on the frequency and the maximum likelihood attribute provided by the embodiment of the invention, the definition of the identified fracture surface can be improved, the technical process is easy to implement in the industry, and the working efficiency can be improved.

The embodiment of the invention provides a two-dimensional multi-crack rock Archie cementation index evaluation method and system, and belongs to the technical field of data processing. The method comprises the following steps: acquiring crack data; according to the crack data, constructing a double-hole medium two-dimensional rock model containing multiple cracks; according to the multi-crack-containing double-hole medium two-dimensional rock model, the resistivity of the segmentation module is obtained; acquiring the resistivity of the whole rock module according to the resistivity of the segmentation module; and obtaining the Archie cementation index according to the resistivity of the whole rock module. According to the method, the cementation index of the multi-crack two-dimensional rock can be quickly calculated.

The present invention relates to the technical field of coalbed methane exploration, and more specifically to a simulated specimen for hydraulic fracturing testing of a crushed soft coal seam and a preparation method thereof, comprising: an annular roof layer, the inner wall of which is provided with a simulated wellbore; an annular coal seam interface layer, located on the outer wall of the annular roof layer; and a coal seam, located on the outer wall of the annular coal seam interface layer, wherein the outer wall of the coal seam forms the four sides of the specimen. The simulated wellbore is arranged at the center of the annular roof layer. Through the annular structure of the annular roof layer and the annular coal seam interface layer, the simulated wellbore does not need to change its own axial position. Only by setting water outlets in different directions can the constructed fracture form a predetermined angle with the minimum stress direction. In addition, multiple fractures of different angles can be formed in one specimen. By comparing the morphology of fracture formation in one specimen, the relationship between the fracture formation angle and the minimum stress direction can be more accurately obtained.

The invention relates to the field of oil and gas field exploration and development, in particular to a temporary plugging fracturing numerical simulation method and device and computer equipment. The method comprises the following steps: determining angles between a plurality of fracture interface units and a horizontal maximum principal stress and widths of the plurality of fracture interface units according to formation logging information, fracture description geological information and three-dimensional seismic information; setting a temporary plugging interface unit according to the reservoir numerical fracturing productivity simulation result and the width of the plurality of fracture interface units; according to the angles between the multiple fracture interface units and the horizontal maximum principal stress, the widths of the multiple fracture interface units and the length of the temporary plugging unit, a temporary plugging fracturing numerical simulation model is constructed; and judging whether a new fracture interface unit is generated in the entity unit or not according to the displacement information of each node in the entity unit. According to the scheme, the temporary plugging fracturing numerical simulation method is adopted, and the crack propagation form in the temporary plugging fracturing process can be conveniently, visually and accurately simulated.

This invention discloses a coalbed methane fracturing fluid system and a method for balanced propagation of multiple fractures, relating to the field of coalbed methane extraction technology. The coalbed methane fracturing fluid system includes a main fluid base as the transport medium, ceramic particles as proppant, coated heat-generating microcapsules, and a self-responsive diverting agent. The core material of the heat-generating microcapsules is a solid substance that releases heat upon contact with water. Its coating layer has temperature-responsive characteristics, softening and rupturing when a temperature threshold is reached, releasing heat to reduce the viscosity of the fracturing fluid. The self-responsive diverting agent has a core-shell structure; its outer shell hydrolyzes at specific temperatures and pH levels, causing the core elastomer to absorb water and expand. It can selectively and autonomously seal wide fractures according to the fracture width, guiding the fracturing fluid to narrower, less expanded fractures. The method includes: first, injecting a pre-fluid containing coated heat-generating microcapsules; then adding proppant and diverting agent and pumping sand-carrying fluid; finally, shutting in the well and controlling flowback. This optimizes fracture conductivity, promotes balanced propagation of multiple fractures, and improves extraction efficiency.

The present invention provides a modeling method for a reservoir rock fracture network expansion prediction model based on a neural network, which specifically includes the following steps: step 1, obtaining original geological parameters, fracturing design parameters and natural fracture distribution parameters of each type of oil reservoir; generating multiple original geological parameter random values according to the original geological parameters, and using fracture combination parameters to generate multiple fracture combination parameter random values, and combining the original geological parameter random values and the fracture combination parameter random values to form a fracture network expansion simulation data set; step 2, obtaining fractal parameters of a fractal structure, combining the fracture network expansion simulation data set and the fractal parameters, constructing a feature data set based on the fractal structure, and dividing the feature data set into a training set, a validation set and a test set; step 3, establishing a prediction model based on a neural network; step 4, inputting the training set into the prediction model for training, and after the training is completed, inputting the validation set into the prediction model for verification, and inputting a test machine into the prediction model for testing.

The utility model relates to the technical field of fractured rock core experiments, and particularly discloses an experimental device for simulating macropore fractured rock cores, which comprises a device frame, a device shell is arranged in the device frame, and an experimental mechanism for carrying out rock core experiments is arranged in the device shell. A limiting mechanism for limiting the device is arranged on the outer wall of the device shell; the experiment mechanism comprises a crack plate, the crack plate is arranged in the device shell, two positioning holes are formed in the lower surface of the crack plate, and limiting rods fixedly connected with the crack plate are connected into the two positioning holes in an inserted mode. The large-hole crack rock can be simulated through the arranged experiment mechanism and the stacked placement of the plurality of crack plates, and the two crack plates can be limited through the positioning holes formed in the crack plates under the cooperation of the limiting rods, so that the displacement condition of the crack plates is effectively reduced, and the simulation effect is improved.

The invention discloses a carbonate rock crack modeling method based on digital outcrop and geomechanical simulation. According to the method, firstly, a high-precision digital outcrop model is constructed through unmanned aerial vehicle oblique photography, outcrop surface crack parameters are obtained, and crack groups are divided; and determining the ancient stress field characteristics of multiple fracture forming periods by combining filler isotope test and acoustic emission experiment. And further, carrying out geomechanical simulation based on the recovered paleostructure, and quantitatively calculating the density and opening parameters of the crack in each stage by utilizing a two-stage fracture criterion and a strain energy density theory. And then, a deterministic modeling technology and a random modeling technology are fused, a multi-stage and multi-scale discrete fracture network model is constructed, and fluid simulation is performed based on the model so as to analyze the control effect of the fracture on the ancient karst. And finally, through comparison verification with outcrop measured data, the corrected crack-matrix coupling prototype geologic model is output, quantitative prediction of the cracks in the outcrop is realized, and the precision and reliability of the crack prototype model are remarkably improved.

The invention relates to the technical field of oil and gas reservoir geological exploration, in particular to a buried hill oil and gas reservoir multi-stage crack stage judgment method based on tectonic stress field evolution, which comprises the following steps: a tectonic evolution history analysis step: a system collects geological data of a target buried hill oil and gas reservoir area; based on a seismic profile, a stratum contact relation, tectonic deformation characteristics and chronology data, a multi-period tectonic evolution history of the region from ancient generations to neonatology is comprehensively analyzed and constructed, and the geological age and the tectonic property of each key tectonic motion event are accurately determined. Compared with the prior art, the method has the advantages that a quantitative judgment model based on the mechanical principle is established through paleostress field numerical simulation and theoretical crack parameter quantitative prediction, so that the crack period judgment process is standardized and quantified, the uncertainty caused by human factors is greatly reduced, the objectivity and repeatability of a judgment result are improved, and the method is suitable for popularization and application. And the crossing from qualitative analysis to quantitative discrimination is realized.

The invention discloses a fracturing transformation effect analysis method and device. The method comprises the steps that a wellhead pressure curve obtained after fracturing transformation is conducted on a shale gas well is obtained; according to the wellhead pressure curve, the pressure fluctuation frequency and the pressure fluctuation amplitude of the multiple fracturing sections are determined; projecting the pressure fluctuation frequencies and the pressure fluctuation amplitudes of the plurality of fracturing sections to a preset evaluation chart; according to projection results of the pressure fluctuation frequencies and the pressure fluctuation amplitudes of the plurality of fracturing sections on the evaluation chart, determining fracturing transformation effects of the plurality of fracturing sections; the fracturing transformation effect reflects the complexity of a fracture network formed by fracturing transformation, a fracturing transformation effect analysis technical scheme which is simple in operation process, low in cost and high in timeliness can be provided, the analysis accuracy is improved, and the requirement for accurately and rapidly evaluating the fracturing transformation effect on an oil field site is met.

The invention provides a seismic observation-based crack fracture quantitative description method, equipment and a medium. The method comprises the following steps: preprocessing a multi-scale crack fracture excitation seismic signal; identifying small and medium-scale fracture events with obvious waveforms, inverting focus parameters, establishing a continuous fracture connectivity model set, and establishing a volume transformation model based on macroscopic fracture connectivity according to the model set; performing fracture energy calculation on the suspicious seismic signals without obvious waveforms, superposing fracture energy of a plurality of fracture sub-periods, and establishing a volume transformation model based on a small-scale fracture mesh fracture network according to the accumulated fracture energy; and establishing a multi-scale mixed volume transformation model according to the two models. The apparatus includes a processor; and the memory is used for storing instructions for executing the method. Program instructions are stored in the storage medium. Quantitative description of various scene fracture areas can be realized in a multi-scale and multi-mode manner, and the problem that the position of a vibration source area is difficult to confirm in earthquake monitoring can be solved.

The invention provides a yield prediction method based on shale gas well fracture network fracturing pump stop pressure data. The yield prediction method comprises the steps that construction pump stop pressure data and initial yield data of multiple fractured shale gas wells are acquired; performing data processing on the construction pump stop pressure data and the initial yield data of the fractured shale gas well; utilizing the processed data, and adopting a machine learning random forest model to establish a yield prediction model; and performing data processing on the construction pump stopping pressure data of the new shale gas well of which the yield needs to be predicted, and inputting the data into the yield prediction model to obtain the predicted yield of the new shale gas well. According to the method, the relationship between the pump stop pressure fluctuation and the artificial fracture occurrence is considered, the thought of predicting the yield through the pump stop pressure is adopted, the pump stop pressure data is easy to obtain and high in relevance, and the problems of model fitting difficulty and poor prediction precision caused by the fact that a conventional machine learning algorithm needs more dimensional data are solved.