910 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 belongs to the technical field of oil and gas field development engineering, and particularly relates to an experimental method and device for evaluating energy-increasing and permeation-increasing effects of thermal-assisted carbon dioxide huff and puff after shale oil reservoir fracturing. The experimental method comprises the following steps: S1, preparing a shale core sample: selecting two shale cores from the same geological reservoir, taking one as a fractured core and taking the other as a matrix core; s2, carrying out heat-assisted CO2 huff and puff simulation experiment test on the matrix rock core sample; carrying out a heat-assisted CO2 huff and puff simulation experiment test on the fractured rock core sample; and evaluating the energy increasing efficiency of the heat-assisted CO2 huff and puff and the permeation increasing effect on the artificial fracture. According to the experimental method, the limitation of evaluating the energy-increasing and permeability-increasing effect of the heat-assisted supercritical CO2 on the shale reservoir in the prior art is overcome, and the energy-increasing and permeability-increasing effect of the CO2 on the shale reservoir in the heat-assisted extraction process can be comprehensively and systematically evaluated.

The invention discloses a mine water recharge reservoir scaling trend prediction, scale removal and permeation enhancement method, and the trend prediction method comprises the steps: carrying out the conventional physicochemical index analysis of the water quality of mine water and a monitoring well according to the hydrogeological information of a recharge reservoir, and calculating the scaling trend of the mine water recharge reservoir based on a Retino index method and the relative saturation R.S. The scaling conditions of carbonate, sulfate and silicate are rapidly judged respectively; when scaling occurs, the ion concentration change on a path is revealed through a Transport module and an Equilibrium Phases module in the PHREEQC software, and verification is carried out through a measured value of a monitoring well; and then according to the mineral dissolution precipitation reaction and the percentage of the reservoir rock sample composition, calculating the reaction dose and the void ratio so as to formulate a mine water recharge reservoir permeation enhancement optimization scheme. According to the method, the scaling trend of the mine water recharge reservoir can be effectively predicted, the recharge process is monitored, and continuous operation of deep well recharge sealing work of mine water is facilitated.

The invention provides a deep coalbed methane reservoir double-pore structure parameter prediction method and device, relates to the technical field of coalbed methane reservoir development, and solves the technical problem of low precision of a prediction result of pores of a deep coalbed methane reservoir. The method comprises the steps that based on the initial organic matter content, the clay content and the brittle mineral content, an equivalent medium theoretical model is used for establishing a coal bed gas reservoir double-pore coal rock physical model; calculating matrix porosity, fracture porosity and fracture aspect ratio according to logging observation longitudinal wave and transverse wave velocities in the logging data, and taking well-side matrix porosity, fracture porosity and fracture aspect ratio as pore parameter prior information of the coal bed gas reservoir double-pore coal rock physical model; and based on the specified three-dimensional seismic horizon data and the pore parameter prior information, pre-stack seismic inversion is carried out by using a pre-stack Bayesian inversion method through the coal bed gas reservoir double-pore coal rock physical model, and a coal bed gas reservoir double-pore reservoir prediction result is obtained.

The invention provides a hot dry rock terrestrial heat extraction method capable of efficiently adapting to complex heat storage conditions. The method comprises the steps that a heat-fluid-solid coupling relation in the terrestrial heat exploitation process is established, a dynamic porosity and permeability model is established based on the heat-fluid-solid coupling relation, and a terrestrial heat exploitation model is established based on the porosity and permeability model. According to the method, the heat extraction efficiency and the accumulated heat are remarkably improved, the heat competition effect between the production wells is reduced, the service life of the production wells is prolonged, the mining requirements under the complex geological conditions are met, the prediction precision of the heat-fluid-solid model is improved by dynamically adjusting the reservoir characteristics such as porosity and permeability, and the mining efficiency is improved. The problems of high thermal competition, inaccurate prediction and low mining efficiency in the prior art are solved, and a sustainable optimization scheme with high economical efficiency is provided for geothermal exploitation of the hot dry rock.

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 an orthotropic rock physical modeling method. The method comprises the following steps: S1, obtaining tight reservoir parameters; s2, estimating the elastic modulus of the mixed minerals; s3, enabling the mixed mineral to be equivalent to a VTI background rock matrix caused by a thin layer; s4, matrix pores are added into a VTI background rock matrix; s5, embedding the vertical crack into the VTI background'dry 'rock skeleton to obtain an OA medium'dry' rock skeleton; s6, calculating the bulk modulus and saturated rock density of the mixed fluid; s7, adding the mixed fluid into the OA medium'dry 'rock skeleton to obtain OA medium saturated rock; s8, calculating longitudinal and transverse wave velocities and anisotropy parameters of OA medium saturated rocks; and S9, calculating OA medium saturated rock. According to the method, the tight reservoir with the orthotropic characteristic can be simulated, the Thomsen parameter and the fracture weakness parameter of the tight reservoir can be obtained, and data support is provided for fracture evaluation, anisotropic parameter inversion, permeability prediction and the like of the tight reservoir.

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 CO2-water-rock dynamic reaction simulation device and an experiment method, and relates to the technical field of geochemical water-rock reaction, the simulation device comprises a gas-liquid internal circulation system, a CO2 input and monitoring system, a temperature control system, a pressure control system and a pH monitoring system; wherein the gas-liquid internal circulation system comprises a core holder and a circulating pump, the core holder is used for fixing a sample and applying confining pressure to the sample, and the gas-liquid internal circulation system can realize continuous fluid-solid coupling physical simulation under a high-pressure condition and continuously monitor environmental pH and circulating confining pressure at the same time; the CO2 input and monitoring system can accurately measure the CO2 injection and discharge amount, and the CO2 geological storage amount in the CO2-water-rock dynamic reaction process and the rock permeability before and after the reaction are obtained. The high-temperature and high-pressure environment of the reservoir under the in-situ condition is simulated in a laboratory, the geochemical response of the CO2-water-rock system and the permeability evolution characteristic of the sample are monitored at the same time, and guidance is provided for improving the existing CO2 enhanced oil and gas exploitation and CO2 geological storage technology.

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.

The invention relates to the technical field of geothermal science, in particular to a geothermal resource quantity calculation method and device. The geothermal resource quantity calculation method comprises the following steps: acquiring geological parameters of a geothermal evaluation area; according to the geological parameters, constructing a three-dimensional geological model of the geothermal evaluation area; according to the three-dimensional geologic model, a heat reservoir of a geothermal evaluation area is selected; temperature numerical simulation in the heat transfer process is carried out on the geothermal evaluation area, temperature field distribution of the geothermal evaluation area is obtained, and the temperature field distribution is used for representing the temperature of each position point in the geothermal evaluation area; and according to the temperature of each position point in the thermal reservoir, performing integral calculation on the thermal reservoir to obtain the geothermal resource quantity of the thermal reservoir. According to the embodiment of the invention, the accuracy of geothermal resource quantity calculation can be improved.

The invention relates to a method, a device and equipment for analyzing in-situ formation fracture porosity of mixed rock. Comprising the steps of obtaining original data of a plurality of layers in a target block; taking out a first rock core sample from each layer of the target block, and performing experimental analysis on the first rock core sample of each layer to determine a target layer; taking out a second core sample from the target horizon, and performing a triaxial compression test on the second core sample to obtain a stress index; according to the original data and the stress index, the stratum fracture porosity of the target layer is calculated, the stratum fracture porosity is used for guiding workers to evaluate the real underground in-situ fracture porosity of the reservoir, and therefore an oil and gas reservoir exploitation plan of the target layer is made. The stratum fracture porosity calculated by the method represents the fracture porosity of the target horizon in the target block and represents in-situ characteristics in the stratum, so that the accuracy of reservoir evaluation is improved. A worker can formulate an oil and gas reservoir exploitation plan according to the formation fracture porosity, and the oil and gas reservoir yield is 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.

The invention discloses a parallel computing simulation method for thermal exploitation of a buried pipe well group in a geothermal reservoir, which comprises the following steps of: dispersing a grid volume unit of a buried pipe by adopting a parallel finite element unit method, and simplifying the buried pipe and circulating fluid in the pipe into a one-dimensional linear finite element unit; constructing a plurality of pipeline flow models arranged in an array, and combining the in-pipe one-dimensional linear units and the out-pipe three-dimensional volume units to obtain a well group type pipeline flow geometric model; a parallel finite element unit method is adopted to be combined with a non-isothermal pipeline flow physical field, an underground water seepage physical field and a porous medium heat transfer physical field to conduct multi-physical-field coupling, and a well group type pipeline flow numerical model is obtained; fluid flow and convective heat transfer in the buried pipe and pipe wall heat conduction are solved in a combined mode; and performing factor sensitivity analysis by changing different thermophysical parameters of the rock-soil body and heat exchange characteristic factors of the buried pipe well group. The invention provides a new method for researching fluid flowing and heat transfer behaviors of the buried pipe well group, and provides a new idea for optimal design and efficient simulation of thermal exploitation of the buried pipe well group in a geothermal reservoir.

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.

According to the fine fracturing geological modeling method based on the scratch test provided by the embodiment of the invention, the scratch test data representing the mechanical characteristics of a rock core sample material are accurately obtained by carrying out the scratch test on the rock core sample, the mechanical data are calculated and generated according to the scratch test data, and the wavelet transform is carried out on the mechanical data to obtain the fine fracturing geological modeling result. Compared with the prior art, the method has the advantages that the mechanical parameters of the reservoir rock are accurately obtained through scratch testing, the mechanical characteristics of the rock are represented, the mechanical characteristic model is optimized, and design data with higher accuracy is provided for a geological model.

The utility model relates to the technical field of middle-deep layer heat exchange well devices, in particular to an open type middle-deep layer heat exchange well device which comprises a well wall pipe. The central pipe is installed in the well wall pipe, the water filtering pipe is installed on the well wall pipe, and a heat exchange runner is formed between the well wall pipe and the central pipe; the casing pipe is located in the heat exchange well and penetrates through the water-containing stratum to stretch into the rock heat type heat reservoir, and a first annular gap is formed between the outer wall, located in the rock heat type heat reservoir, of the casing pipe and the inner wall of the rock heat type heat reservoir. The water filtering pipe comprises an upper water filtering pipe and a lower water filtering pipe, the upper water filtering pipe is located in the middle of the casing pipe, and the lower water filtering pipe is located at the bottom of the casing pipe or close to the bottom; according to the device, the positions of the upper water filter pipe, the lower water filter pipe and the water stop device are reasonably arranged, so that a heat exchange medium can be in direct contact with a rock heat type heat reservoir, the mineral content in the heat exchange medium is increased, and rock heat type geothermal resources are suitable for hot spring bathing; meanwhile, the heat exchange efficiency of the heat exchange well is improved.

The invention discloses a geothermal water layer quality rapid identification method and system based on an algorithm model, belongs to the technical field of geological exploration, and aims to correct logging curve data of a thermal reservoir research well area, effectively avoid possible system errors in a logging data acquisition process, including improper operation modes or instrument self-measurement errors and the like. Standardized logging data can more remarkably reflect regional geologic features compared with original data, principal component analysis is conducted on sample data through a PCA method, an original sample space is reconstructed according to the contribution rate of principal components, the dimensionality of an input space is effectively reduced, meanwhile, the correlation between variables of the input space is eliminated, and the accuracy of the input space is improved. The identification precision is improved; according to the method, the recognition accuracy is greatly improved, a more scientific and reliable method is provided for well logging data thermal reservoir recognition, and the method has practical significance in exploring geothermal resource development.

The invention belongs to the technical field of petroleum and natural gas development, and particularly provides a shale oil ultra-long horizontal well volume fracturing fracture pressure reduction method which comprises the following steps: taking rock samples underground at different positions of a horizontal section of an ultra-long horizontal well, and testing initial physical property parameters, mineral component contents and rock mechanical parameters of the rock samples; a rock sample and liquid CO2 soaking experiment is carried out under the reservoir temperature and pressure condition, rock mechanical parameters of the rock sample after the experiment are tested, rock damage factors are defined, the fracture reduction capacity is evaluated according to the rock damage factors, and a fracturing section is selected; and establishing a shale oil reservoir geologic model based on the reservoir physical property parameters of the selected fracturing section, performing CO2 injection productivity numerical simulation, and determining the optimal CO2 injection rate. The problems that an existing method for reducing the fracture pressure of the shale oil ultra-long horizontal well is small in application object range, large in construction risk, low in operation efficiency and high in cost are solved, the CO2 injection amount is optimized, the dual effects of reducing the fracture pressure and increasing the yield through CO2 are achieved, and the construction risk and the operation cost are reduced.

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.