705 results about "Stockwork" patented technology

The invention discloses a carbon dioxide mineralization storage dynamic intelligent regulation and control and permeation enhancement optimization method and system. The optimization method comprises the following steps: collecting field monitoring injection parameters and related data of reaction products in a mineralization storage process in real time; according to injection parameters monitored on site and related data of reaction products, two optimization objective functions of mineralization rate and free CO2 volume are formed; constructing a mineralization sequestration multi-objective optimization model, and screening out an optimal injection parameter set value from the Pareto solution set to obtain an optimal condition parameter; optimal injection parameters in the Pareto optimal solution set are input into the constructed field enhancement regulation and control module, and control variables are adjusted in real time according to real-time changes of reservoir response, mineralization reaction process and injection working conditions; and fracturing transformation is conducted on the target storage rock mass, the seepage enhancement effect of the target storage rock mass is quantitatively evaluated, an injection scheme is dynamically updated based on the transformed reservoir parameters, and the mineralization regulation and control system is enhanced.

The invention discloses a rock nanoindentation numerical simulation method based on PFC discrete elements, and relates to an unconventional natural gas reservoir fracturing technology. Comprising the following steps: dynamically loading an iterative matching load-displacement curve based on XRD-SEM-EDS mineral spatial distribution of a rock sample and single mineral nanoindentation experimental data microscopic parameters; in combination with mineral space distribution data, constructing a multi-mineral heterogeneous model by stages, and dynamically loading simulation; based on crack number development, force chain distribution and particle displacement vector characteristics, a regulation and control mechanism of a mineral interface coupling effect and pore stress concentration on a crack propagation path is quantitatively analyzed. According to the invention, a heterogeneity evolution mechanism of force chain development and crack propagation in each stage of loading, load holding and unloading can be analyzed, and a dynamic mechanism that mineral components and pore structures cooperatively regulate and control a crack propagation path and nonlinear load response is disclosed; and a solution path is provided for rock microscopic damage mechanism prediction and heterogeneous material discrete element numerical simulation modeling.

The invention relates to the technical field of geothermal exploitation, and discloses a geothermal well group intelligent cooperative regulation and control method for geothermal exploitation, which comprises the following steps: collecting multi-source heterogeneous data in real time through multiple types of sensors deployed in a geothermal well group and a surrounding environment, data standardization, time sequence alignment and noise filtering are carried out through a uniform interface and a communication protocol, and a multi-dimensional monitoring database of the whole geothermal exploitation process is constructed; on the basis of multi-source heterogeneous data, historical mining data in a database is monitored in combination with a geologic structure of a geothermal reservoir, a seepage-heat conduction coupling mechanism and multiple dimensions. According to the invention, by deploying multiple types of sensors and constructing a multi-dimensional monitoring database, real-time acquisition and standardized processing of high-precision and multi-source heterogeneous data in the whole geothermal exploitation process are realized, a reliable data basis is provided for subsequent intelligent decision making, and the sensing ability of the system to complex geology and exploitation environments is significantly improved.

Systems, methods, and apparatus for characterizing reservoirs are discussed. As an example, a method for characterizing a reservoir is discussed that includes determining a ki parameter, a αE parameter, and a αP parameter based at least in part on the at least four pairs of effective stress and permeability; and predicting a hydrocarbon production rate from reservoir represented by the sample rock based at least in part on the ki parameter, the αE parameter, and the αP parameter.

The invention discloses a reservoir-shaft integrated prediction method for geothermal exploitation, which belongs to the technical field of geothermal exploitation, and comprises the following steps: S1, constructing a cross-scale reservoir model, S2, establishing a reservoir-shaft coupling model, S3, establishing a heat-fluid-solid coupling control equation, S4, solving the coupling control equation, S5, simulating multiphase flow in a shaft, and S6, learning and optimizing a machine. S7, dynamically updating prediction; by constructing a cross-scale reservoir model and a wellbore-reservoir coupling model, accurate mapping from micro pores to macroscopic thermal storage and dynamic coupling of a reservoir and a wellbore are realized, and numerical solution and multiphase flow accurate simulation of a thermal-fluid-solid multi-field coupling control equation are combined. Rock heterogeneity, multi-physical field interaction and complex flow characteristics in the shaft are comprehensively considered, the prediction accuracy and comprehensiveness are greatly improved, and the defects that in a traditional method, reservoir and shaft analysis is split, and the model precision is limited are overcome.

The invention discloses a method for analyzing the influence of a rock mass multi-scale structure on deep geothermal reservoir circular mining, and relates to the technical field of geothermal resource development and rock mechanics, and the method comprises the following steps: establishing a reservoir rock mass mechanical analysis model and a seepage heat transfer analysis model which simultaneously comprise a microscopic microcrack structure and a macroscopic crack structure; based on the reservoir seepage heat transfer analysis model, reservoir temperature field and seepage field analysis is carried out, and water pressure and temperature distribution results are transmitted to the mechanical analysis model; based on the reservoir mechanical analysis model, reservoir stress and deformation analysis under the heat-water-force coupling effect is carried out, and changes of microcosmic microcrack and macroscopic crack structures in the reservoir rock mass are obtained; the rock mass permeability evolution equation and the porosity evolution equation are adopted to calculate the reservoir rock mass permeability tensor and the porosity, and the reservoir rock mass permeability tensor and the porosity are transmitted to the seepage heat transfer analysis model; and solving the reservoir temperature field, the water pressure field and the mechanical response in the geothermal circulation exploitation process by adopting a seepage heat transfer analysis and mechanical analysis staggered iteration mode. By analyzing the reservoir temperature, the water pressure, the deformation evolution response and the reservoir permeability change in the geothermal exploitation process, geothermal exploitation design and protection can be reasonably carried out, and the application prospect is good.

The invention discloses a nuclear magnetic T2 spectrum correction method for a shale reservoir, and relates to the field of object detection, and the nuclear magnetic T2 spectrum correction method for the shale reservoir comprises the following steps: 1, determining the gas logging porosity, saturated water porosity and main mineral components of the shale reservoir; compared with the prior art, the method disclosed by the invention has the beneficial effects that a drying-saturated water-centrifugal two-dimensional nuclear magnetic resonance experiment is carried out, and signals of crystal water, clay bound water and hydroxyl in a sample are preliminarily identified; through inversion of organic matter signals in the dry sample, signals of movable water are further determined; the relation between the difference value among the gas logging porosity, the saturated water porosity and the nuclear magnetic porosity and different mineral contents is discussed, and particularly the remarkable influence of iron-containing minerals on the porosity difference value is discussed; by eliminating the influence of diffusion relaxation caused by the magnetic susceptibility difference, the T2 spectrum correction method based on the mineral magnetic susceptibility is established, and the T2 spectrum accuracy obtained through nuclear magnetic resonance measurement is improved.

The invention discloses a geothermal development oil shale and CO2 geological storage integrated method, which relates to the field of complex oil and gas reservoir development, and comprises the following steps: designing U-shaped well process parameters, enabling CO2 fluid to flow to a high-temperature geothermal reservoir through a descending section of a U-shaped well, injecting the CO2 fluid into the oil shale reservoir along an ascending section of a shaft after sufficient heat exchange, preheating the oil shale, and storing the CO2 fluid into a high-temperature geothermal reservoir through the descending section of the U-shaped well. Terrestrial heat extraction and utilization are realized; after the temperature of the oil shale layer rises to the target temperature, the oil shale layer is further heated through manual heating, and in-situ conversion development of the oil shale is achieved; after completion, produced CO2 is injected into the oil shale layer again through the U-shaped well, and collaborative development of CO2 geological storage, geothermal extraction and oil shale in-situ conversion is achieved. Geothermal energy is efficiently extracted through CO2 and used for oil shale in-situ pyrolysis, the extra manual heating cost needed by oil shale in-situ conversion is remarkably reduced, and the economic feasibility of a pure storage project and oil shale in-situ conversion development is improved.

A method may include performing, by a drilling system, a drilling operation to produce a wellbore in a geological region of interest. The method may further include determining time elapse data describing an amount of time between the drilling operation and a hydraulic stimulation operation. The method may further include determining borehole stress data based on the wellbore, reservoir data, and geological data. The method may further include determining thermal diffusivity data regarding a temperature front in the geological region of interest based on the time elapse data, the reservoir data, and the geological data. The method may further include determining a wellbore breakdown pressure of the geological region of interest based on the thermal diffusivity data, the geological data, the borehole stress data, and the reservoir data. The method may further include transmitting a command to a stimulation control system based on the wellbore breakdown pressure.

The invention belongs to the technical field of geothermal energy development and geological engineering, and discloses a geothermal reservoir fracture network dynamic modeling method based on geomechanical constraints. The method comprises the following steps: firstly, acquiring multi-source monitoring data of the geothermal reservoir, wherein the multi-source monitoring data comprises rock mass surface deformation data, microscopic damage space-time distribution data and acoustic emission fracture signal data; constructing a microscopic-macroscopic correlation model based on a bonded particle model and a moment tensor theory, and obtaining a characteristic value of rock mass damage evolution; performing three-dimensional fracture source positioning on the acoustic emission fracture signal; constructing a cubic cluster model based on a positioning result, and generating an initial topological structure of the fracture network; dynamically adjusting the geometrical morphology and connectivity of the fracture network through a random walk algorithm and a fracture intersection correction mechanism according to the evolution characteristic value in combination with a geomechanical constraint condition; and finally predicting fracture expansion trends and damage evolution laws under different geomechanical conditions. According to the method, the accuracy and reliability of fracture network evolution prediction are remarkably improved.

This invention discloses a method for indicating the degree of pyrite development in carbonate reservoirs, belonging to the field of geological exploration technology. Its key features include the following steps: a) selecting sensitive parameters to distinguish pyrite development based on the well logging response characteristics of pyrite-developed strata; b) establishing trend lines for the variation of sensitive parameters in formations with no or low pyrite content using these sensitive parameters; c) constructing trend lines for the variation of sensitive parameters with pyrite content based on strata data from key wells with different pyrite contents; d) identifying pyrite-enriched strata in the wells to be identified based on the intersection indications of the sensitive parameters; e) evaluating the degree of pyrite development in the pyrite-enriched strata by assessing the degree of difference in the intersection of sensitive parameters. This invention achieves the identification of pyrite-enriched strata through resistivity and sonic transit time intersection, enabling rapid and accurate identification of the degree of pyrite development in carbonate reservoirs.

The invention discloses a quantitative evaluation method for complexity of shale oil and gas horizontal well reservoir reconstruction cracks, which comprises the following steps: determining a crack development strength factor representing reservoir inherent crack development potential by calculating a mineral heterogeneous coefficient based on rock sample mineral component data at each perforation cluster position in a target fracturing section; determining the optimal fracture length by combining reservoir numerical simulation, determining the total fracturing fluid amount, performing non-uniform distribution according to the heterogeneity of each cluster, and determining a fracture propagation complexity factor representing the dynamic propagation complexity of the hydraulic fracture; weighting the two factors to obtain a crack complexity index for comprehensively evaluating the reservoir transformation effect, and performing grading; according to the method, static geological evaluation and dynamic engineering evaluation are combined, quantification of inter-cluster transformation differences is achieved, the defects that a traditional method is one-sided in evaluation and low in precision are overcome, and a reliable quantitative basis is provided for optimal design of a shale oil and gas reservoir fracturing scheme and accurate evaluation of the transformation effect.

The invention discloses a medium and low temperature geothermal well drilling and completion optimization method and system. The method comprises the steps that a drilling equipment efficiency model (input energy and output footage) and a thermal reservoir response model (input parameters and output productivity indexes) are constructed, a full-process optimization model is established based on the two models, a drilling cost minimization and thermal reservoir productivity maximization function is taken as a target, decision variables comprise parameters such as energy input and a well bore structure, and a full-process optimization model is established. And iteratively solving and dynamically controlling the operation through a Benders decomposition algorithm. The system comprises an equipment efficiency modeling module, a heat storage response modeling module, an optimization solution engine module, a dynamic control terminal module and the like, the functions of well bore structure design, drilling process parameter generation, well completion sealing scheme decision making and the like can be achieved, and closed-loop optimization is formed. The method improves the drilling efficiency and productivity, reduces the cost and is suitable for medium and low temperature geothermal resource development.

Methods are provided for extracting thermal energy from a geothermal reservoir having at least one feature extending therethrough, which involve drilling or accessing a production well that intersects the at least one feature, wherein the at least one feature provides a flow path of pressurized geothermal fluid into the production well. Well log data can be analyzed to determine position of the at least one feature in the production well. One or more interventions, or combinations of interventions, can be performed to open the feature or otherwise enhance the flow rate of pressurized geothermal fluid carried by the feature into the production well. The intervention(s) can be performed on multiple features that connect to the production well. The method can also be applied to multiple production wells.

Methods and systems are provided for extracting thermal energy from a geothermal reservoir. One aspect involves drilling at least one sidetrack that extends from a primary wellbore and intersects at least one fracture target in the geothermal reservoir. The at least one sidetrack can be configured to increase fluid flow into the primary wellbore from the at least one fracture target. The increase of fluid flow into the primary wellbore from the at least one fracture target as provided by the at least one sidetrack can increase the amount of captured heat from the geothermal reservoir.

The invention relates to a working parameter linkage regulation and control method and system for a medium-deep geothermal water source heat pump, in particular to the field of medium-deep geothermal water source heat pumps, firstly, disturbance signals are generated through reinforcement learning and injected into a geothermal loop, and therefore the dynamic mapping precision of an underground heat reservoir is improved; secondly, the thermal diffusion coefficient and the fracture rate of the rock stratum are inversed through the physical information neural network model, and real-time monitoring of underground thermal storage is achieved; secondly, predicting the difference between the heat supply load and the geothermal heat absorption capacity by using the meteorological data, the room temperature data and the heat pump operation parameters, generating a regulation and control decision, and setting a grading trigger condition; and finally, a phase change heat storage device and a compressor are precisely regulated and controlled through a double-actuator collaborative algorithm, the response speed and energy efficiency of the heat pump system are improved to the maximum extent, the room temperature fluctuation problem is relieved, frequent frequency modulation is avoided, starting of a standby boiler is reduced, and therefore the operation efficiency and stability of the heat supply system are optimized.

The invention provides a reservoir mechanical integrity evaluation method under high-frequency injection and production. The evaluation method comprises the steps that S1, rock sample compressive strength and mechanical property parameters of a reservoir under multiple confining pressures are determined; s2, determining the upper limit and the lower limit of the reservoir pressure of the energy storage reservoir in the injection-production process; s3, obtaining the critical fatigue strength of the reservoir rock sample under a plurality of confining pressures within the designed age limit; s4, determining a deviating stress-average stress plane according to the compressive strength and the critical fatigue strength of the rock sample under the plurality of confining pressures, and dividing rock failure zones on the deviating stress-average stress plane; and S5, establishing a geomechanical model to predict the stress level of the reservoir, and judging the safety of the reservoir during the cyclic injection-production period from the perspective of mechanical integrity. Safe, efficient, economical and lasting operation of the energy storage warehouse is guaranteed, and a feasible method is provided for expanding the application range of compressed air energy storage.

The invention relates to the technical field of multi-source data fusion and grid modeling, and discloses a shallow geothermal energy development modeling method, system and equipment based on multi-source data fusion. The method comprises the following steps: performing joint interpolation on shallow geothermal data, engineering geological data and hydrogeological data to generate a virtual drill hole; constructing a ground temperature grid model according to shallow geothermal data, virtual drilling and anisotropic interpolation constraints; performing step-by-step color setting and rendering on the shallow geothermal attribute grade of the geothermal grid model to obtain a visual geothermal grid model; and generating a stepped temperature distribution profile map and a temperature contour line according to the ground temperature grid model so as to display stepped features of temperature distribution. According to the method, the high-precision and high-reliability ground temperature grid model is constructed through multi-source data fusion, virtual drilling generation and anisotropic modeling technologies, and the model not only can generate a stepped temperature distribution profile map and a temperature contour line, but also can improve the geological parameter inversion precision and the thermal reservoir prediction reliability.

The invention provides a pore geometric morphology fine characterization method based on confining pore forming of mineral particles, which comprises the following steps: S1, performing fine characterization of the mineral particles based on geometric morphology characteristics, and accurately identifying the mineral particles in combination with characterization results; s2, performing geometric shape quantitative characterization on different types of pores from the angles of pore diameters, roundness, flatness, shape indexes and corner angle indexes to obtain geometric shape parameters of the pores; s3, on the basis of the recognized mineral particles, the names of confinement pores are determined, clustering analysis is conducted on the confinement pores in combination with the geometric morphology quantitative characterization result obtained in the step S2, and a pore classification scheme is established; and S4, based on a classification scheme and a quantitative characterization result, determining development characteristics of shale reservoir pores, establishing a porosity contribution index model formula, and matching and verifying a reservoir physical property result. According to the method, through comprehensive analysis of the pore morphological characteristics, solid data support and theoretical basis can be provided for scientific evaluation of a high-quality pore development mode.

The invention provides a carbon dioxide geological sequestration injection strategy optimization method and device. The method comprises the steps that candidate injection curves of different forms of carbon dioxide injection rates and time change relations of a target sequestration site are obtained; each candidate injection curve represents an injection strategy; inputting the time sequence data and the reservoir state query information corresponding to each candidate injection curve into the trained agent model to obtain a prediction index corresponding to the reservoir state query information; and determining a target injection strategy corresponding to the target candidate injection curve based on the prediction index corresponding to the reservoir state query information and the target index evaluation condition. According to the method, the maximization of the sealing injection efficiency and the accumulative sealing amount is realized on the premise of ensuring the reservoir pressure safety.

The invention relates to the technical field of geophysical logging, in particular to an intelligent prediction method for a logging curve of the shale content of an oil and gas reservoir, and aims to solve the problem of insufficient prediction precision and robustness caused by model rigidity and logging data uncertainty of a traditional method under complex geological conditions. The method comprises the following steps: performing causal structured preprocessing on logging data; a geological manifold representation space is constructed through a variational auto-encoder, and geological manifold coordinates are generated; based on the geological manifold coordinates, dynamically weighting and fusing the prediction result of the local expert network by using a gating network; and a joint loss function including prediction errors, rock physical consistency and VAE reconstruction loss is constructed to carry out end-to-end training. By the adoption of the technical scheme, high-precision, high-robustness, high-reliability and interpretability prediction of the shale content of the complex oil and gas reservoir can be achieved, and the limitation of a traditional method is overcome.

A method for simulating cross-seasonal heat storage of a buried pipe well group in a geothermal reservoir is characterized in that hot water and cold water are respectively injected in different seasons by arranging different injection ports in a countercurrent cross injection mode, so that a relatively balanced temperature distribution pattern of a'hot area 'and a'cold area' is formed in a stratum, and the volume structure of a buried pipe is simplified into a line unit model; discretizing the pipeline area by adopting a finite element method; on the basis, initial temperature field distribution of soil and initial parameters of fluid in a buried pipeline unit are set, a proper numerical solution method is selected to solve the pipeline unit model, and the stability of the calculation process and the accuracy of the result are ensured through real-time monitoring; in order to further analyze the influence of underground water seepage on the system performance, an underground water seepage module is introduced, and the difference between summer refrigeration and winter heat supply effects under the seepage condition or not is compared and researched; the invention further comprises a system, equipment and a storage medium for implementing the method.

The invention relates to a method for treating shale oil crack wall surfaces by using carbon nanotubes to increase the heat transfer capacity of a reservoir, a plurality of horizontal wells are drilled from the ground, the horizontal sections of the horizontal wells form three parallel well rows, the uppermost well row and the lowermost well row are heating wells, and the middle well row is a production well. The fracturing fluid carrying the proppant is injected into the heating well and the production well with the displacement greatly exceeding the stratum absorption capacity, the bottom hole pressure is larger than the stratum fracture pressure, hydraulic fracturing is carried out, a tensional fracture area and a communication well group are generated, and meanwhile it is guaranteed that fractures are not closed after the proppant is filled. Under the condition that the pressure is lower than the formation fracture pressure, a weak acid solution is slowly squeezed into the heating well and the production well, the well wall and the crack wall face are treated, and a large number of corrosion micropores are formed. And under the condition that the pressure is lower than the stratum fracture pressure, a weak acid solution added with the carbon nano tubes is squeezed into the heating well and the production well, so that the carbon nano tubes are adsorbed or filled in the corrosion micropores, and the micropores where the carbon nano tubes are attached are formed. And high-temperature steam is circularly introduced into the heating well and the production well to heat the oil shale stratum. After heating for a certain time, stopping steam injection of the production well, and changing into production; and continuously injecting steam into the heating well. The method is suitable for an oil shale underground in-situ conversion exploitation technology, and is also suitable for geothermal exploitation and heavy oil thermal exploitation.

The invention belongs to the technical field of oil and gas development, and discloses a formation water comprehensive compression coefficient measuring method and system.The method comprises the steps that a fracture network distribution rule and pore structure parameters are extracted; preparing a micro-fluidic chip; preparing formation water fluid containing dissolved gas, and injecting the formation water fluid into the micro-fluidic chip; carrying out a formation water failure development experiment under a reservoir in-situ condition, and recording gas-water saturation and pressure change in the micro-fluidic chip; quantifying the variation of the volume of the precipitated bubbles along with the pressure drop, and calculating a first compression coefficient contributed by the dissolved gas part and a second compression coefficient contributed by the formation water body part; and superposing the two coefficients to obtain the formation water comprehensive isothermal compression coefficient. According to the method, the formation water gassing expansion process can be monitored in real time, the formation water comprehensive isothermal compressibility coefficient can be more accurately calculated in combination with gas-water saturation and pressure change, and the problem that fluid seepage and fluid characteristics of the fractured low-porosity sandstone gas reservoir cannot be fully reflected is solved. The system has the same advantages as the method.

The invention discloses a hot dry rock hydraulic fracture numerical simulation method based on a continuous-discontinuous unit method, and the method comprises the steps: firstly building a solid stress field calculation model, a fluid field calculation model and a temperature field calculation model, and determining that the fracture criterion of hot dry rock meets the maximum tensile stress criterion and the Mohr-Coulomb criterion; then, according to the actual condition of the hot dry rock, a hydraulic fracturing model of the natural fracture development hot dry rock geothermal reservoir is established; and finally, combining the established fracturing model with the calculation models to carry out iterative solution, judging whether the hydraulic fracturing model generates a new crack or not by utilizing fracture accurate measurement in the solution calculation process, and carrying out model crack updating until the hot dry rock crack propagation numerical simulation process is completed. According to the method, on the premise of considering the influence conditions of thermal stress and natural fractures, numerical simulation is conducted on deep hot dry rock hydraulic fracture extension, the simulation precision is high through test verification, and therefore data support is provided for follow-up hot dry rock geothermal reservoir fracturing construction parameter optimization.

Systems and methods for determining a diagenesis level in a reservoir for performing hydrocarbon extraction include receiving a set of open hole (OH) log data from one or more wells in the reservoir, the OH log data representing a subsurface of the reservoir; executing a diagenesis model to process the set of OH log data, the diagenesis model trained by thin-section image data correlated to labeled OH log data, the labeling identifying values for a quartz overgrowth rate (QOR), a clay coating rate (CCR), or a thin-section porosity in the subsurface based on a value in the OH log data; determining a prediction of a porosity of the reservoir, a permeability of the reservoir, or both the porosity and the permeability; and generating a control signal representing a recommendation to drill a well at a location in the reservoir.

The invention discloses a simulation test system and method for reservoir fracture network acidification and geothermal injection and production. The system comprises a high-temperature triaxial loading bin, an acidification injection and production device, a high-pressure pumping device and a visualization device, and stress loading equipment is arranged in the high-temperature triaxial loading bin and used for containing a seam network rock mass model and carrying out triaxial stress loading. The acidification injection and production device is used for leading acid liquor and heat-carrying working media into or out of the seam network rock mass model, the high-pressure pumping device is used for providing the acid liquor and the heat-carrying working media for the acidification injection and production device, and the visualization device is used for shooting, recording and displaying images of the seam network rock mass model in reservoir seam network acidification and geothermal injection and production in real time. According to the device and the method, fracture net acidification and geothermal circulation injection and production can be continuously completed on the same system and the same model according to a field sequence, and the whole process is recorded, so that the stability and repeatability of a test result are ensured.

The invention provides a tight sandstone reservoir horizontal well three-dimensional comprehensive compressibility evaluation method and device, and belongs to the technical field of oil-gas exploration. The method comprises the following steps: performing three-dimensional modeling on geological attributes around a target horizontal well, wherein the geological attributes comprise lithology, natural fractures and oil-gas possibility; carrying out geological attribute assignment; fracturing crack propagation simulation is conducted on the penetrating interval of the target horizontal well trajectory; according to different fracture height sweep degrees of fractured fractures, establishing a mapping coefficient, and according to the mapping coefficient, mapping a geological attribute assignment result to the horizontal well to obtain a geological sweet spot index around the horizontal well; and obtaining a comprehensive compressibility evaluation result according to the evaluation parameters including the geological sweet spot indexes around the well. According to the method, lithology, natural fractures and oil-gas possibility in geological dessert attributes around a well are comprehensively considered and mapped into geological dessert indexes around the well, and then the geological dessert indexes around the well are combined with other geological, engineering and technological parameters, so that compressibility evaluation of the compact sandstone reservoir is realized.

The invention belongs to the technical field of oil and gas reservoir rock data identification, and particularly relates to a three-dimensional multi-mineral digital core modeling method. According to the method, a 2D-3DGAN algorithm is provided, a three-dimensional data volume can be generated only by using a single two-dimensional picture, the advantages of a 2D-3DGAN method and an AMICS method are combined, a modeling method of 'AMICS + 2D-3DGAN' is provided to establish a multi-mineral, high-precision and efficient three-dimensional multi-mineral digital core, the representative two-dimensional ore scanning image is obtained by using the 2D-3DGAN method, and the three-dimensional data volume can be generated only by using a single two-dimensional picture. And generating a three-dimensional multi-mineral digital image by using the obtained two-dimensional mine scanning image as a training image. The built model not only contains multiple minerals, but also gives consideration to accuracy and economical efficiency, can represent reservoir rocks, and provides a firm basis for subsequent diagenesis simulation based on multi-mineral digital cores and research on electrical, acoustic and mechanical properties of reservoirs.

The invention discloses a multi-source information fusion and intelligent interpretation technology in hot dry rock fracture identification, and the technology specifically comprises the following steps: 1, data collection: collecting multi-source data including seismic reflected waves, logging lithologic parameters, electromagnetic abnormal data and thermal infrared remote sensing images, and building a hot dry rock reservoir physical property parameter database, and 2, data preprocessing: carrying out denoising and offset correction on seismic data, normalizing logging data, inverting resistivity distribution of electromagnetic data, and extracting a temperature abnormal region of a thermal infrared image. The invention relates to the technical field of geothermal development. According to the multi-source information fusion and intelligent interpretation technology in hot dry rock fracture identification, by integrating multi-modal information such as geology, geophysics, remote sensing and drilling data and combining a feature level and decision level fusion strategy, a sensing blind area of a single sensor is effectively made up, the data are preprocessed, and the recognition accuracy is improved. And the capability of effectively inhibiting complex environmental factors such as seismic wave noise and electromagnetic interference is improved.