51 results about "Geothermal exploration" patented technology

The invention relates to the technical field of geothermal exploration, in particular to a deep geothermal target area selection system based on artificial intelligence. Obtaining an actual direction vector according to the first principal component vector of the exploration point in the neighborhood of the exploration point and the unit vector of the exploration point in the neighborhood and the centroid of the neighborhood; obtaining a direction consistency index according to the unit vector and the actual direction vector between the exploration point outside the neighborhood and the centroid; constructing a heat source feature sequence from the centroid along the direction of the actual direction vector, and obtaining a change rate; and obtaining a gradient consistency index according to the change rate, the distance characteristics between the exploration points outside the neighborhood and the centroid, the theoretical heat source characteristics and the heat source characteristics of the neighborhood of the exploration points outside the neighborhood. The method comprises the following steps: correcting a clustering measurement distance according to a direction consistency index and gradient consistency, and clustering exploration points to obtain an exploration point cluster; the integrity of heat source area structure analysis and the accuracy of geothermal target area selection are improved.

The invention discloses a semi-quantitative analysis-based target area optimization method for exploration of hydrothermal geothermal resources, which relates to the field of hydrothermal geothermal resources, and comprises the following steps: determining a calculation range, carrying out index division on sedimentary basin type geothermal resources, upheaval mountain convection type geothermal resources, hot spring geothermal resources and county geothermal resources, carrying out basic parameter selection on secondary indexes, and carrying out target area optimization. And geothermal resource potential calculation, development and utilization potential calculation and geothermal resource comprehensive potential calculation are carried out, and development and utilization comprehensive potential calculation is combined with ecological red line distribution to delimit four areas of development priority, development encouraging, development postponing and development limiting. The geothermal resource development and utilization potentials of different regions are evaluated based on geothermal geological conditions, geothermal resource conditions and development and utilization requirements, finally, the large and middle potential regions are superposed through a spatial comprehensive analysis method, and a geothermal resource target region for further exploration is preferably selected from the large and middle potential regions. The invention provides a set of multi-element semi-quantitative geothermal exploration target region optimization theory and method.

The invention provides a multi-physics field joint inversion method and device in geothermal exploration. The method comprises the following steps: acquiring seismic data, electromagnetic data and logging data in geothermal exploration; determining a loss function of the multi-physics field joint inversion network according to well point constraint loss, earthquake constraint loss and electromagnetic constraint loss in geothermal exploration and gradient consistency loss of the multi-physics field joint inversion network; according to the loss function of the multi-physics-field joint inversion network and seismic data, electromagnetic data and logging data in geothermal exploration, constructing the multi-physics-field joint inversion network; according to the method, the multi-physics field joint inversion network can be accurately constructed, the problems that traditional electromagnetic seismic joint inversion excessively depends on rock physical relation or physical property structure consistency assumption, and implementation conditions are harsh are solved, and a data basis can be provided for geothermal exploration.

The invention belongs to the technical field of geothermal detection, and particularly relates to a geothermal detection device for medium-deep geothermal holes, which comprises a mounting frame, a control cabinet is fixedly connected to the upper side wall of the mounting frame, and a screw rod driving mechanism is fixedly connected to the upper side wall of the mounting frame. When the detection assembly is used for detecting the middle-deep layer geothermal energy, the geothermal energy can be automatically detected while the drill bit drills holes, the drill bit does not need to stop running, and then the geothermal energy is detected, so that the time for frequently starting, retracting and releasing the geothermal detection head is saved, the detection work efficiency is guaranteed, and the detection efficiency is improved. And when the drill bit assembly is used for a long time, the main cutting edge on the surface is abraded, and the working performance of the drill bit assembly is affected, the standby cutting edge can be automatically moved to the set position to assist the main cutting edge in drilling work, and the drill bit assembly does not need to be taken out from the deep underground position immediately.

The invention relates to a convection type geothermal resource exploration method and relates to the technical field of geothermal exploration, the convection type geothermal resource exploration method utilizes comprehensive means such as unmanned aerial vehicle flight, geological survey and geophysical prospecting, comprehensive exploration is realized according to a specific process and a technical route, and the exploration accuracy is improved. An inversion processing method is utilized to construct an integration of accurately depicting the exploration method, so that the defect of single exploration in the prior art is overcome, a comprehensive exploration mode is formed from a shallow part to a deep part, from a point to a surface and from a plane to a three-dimensional part, and the convection type geothermal resource distribution condition is more accurately judged. The method is clear in principle, feasible in technology, capable of rapidly and accurately delineating the favorable optimal well position in the bedrock exposure area, suitable for optimal well position positioning and resource quantity evaluation of the convection type geothermal system controlled by a structure, and wide in application range.

The invention discloses a geothermal resource heat finding system based on remote sensing, hydrochemistry and geophysical prospecting means, and particularly relates to the technical field of geothermal exploration, comprising a multi-source data fusion platform architecture used for integrating and managing various geothermal exploration data; the system comprises a remote sensing heat anomaly extraction module, a water chemical quantitative evaluation module, a geophysical prospecting three-dimensional data volume collaborative analysis module and a standardized heat finding module. According to the geothermal resource heat finding system based on the remote sensing, hydrochemistry and geophysical prospecting means, deep fusion and collaborative analysis of remote sensing, hydrochemistry and geophysical prospecting heterogeneous data are promoted through a unified geographic coordinate system and a standardized data interface, and the phenomenon of data islands is reduced; by combining core algorithms such as a split window method, principal component transformation, geochemical temperature scale and three-dimensional interpolation, full-chain data support is formed from surface thermal anomaly to a deep thermal storage structure, positioning errors of a geothermal target area are reduced, depiction of thermal storage parameters is improved, and drilling risks can be reduced.

The present invention relates to a formation strain calculation method based on a two-phase medium pressure balance equation, which belongs to the fields of energy exploration such as oil and gas field exploration, shale gas exploration, and geothermal exploration. The method first calculates the true strain value of the target layer section encountered by drilling based on well logging data using a formation strain calculation method based on the two-phase medium pressure balance equation, then calculates the apparent strain value of the target layer section in the study area using an apparent dip angle method based on three-dimensional seismic data, and finally establishes a fitting relationship between the apparent strain value and the true strain value, thereby obtaining a strain array of the target layer section in the study area.

The invention provides a geothermal heating area determining method and device. The method comprises the steps that geothermal reservoir data and geothermal heating parameters of a target area are obtained; determining geothermal heating economic index evaluation data of the target area according to the geothermal resource data, the geothermal heating parameter data and a preset heating cost evaluation model; and determining a geothermal heating area in the target area according to the geothermal heating economic index evaluation data. According to the method, the geothermal heating economic index evaluation data of different positions of the target area are quantitatively compared and analyzed based on the obtained regional geothermal resource basic data, and the area with the geothermal heating advantage is determined based on the quantitative analysis result; and a favorable area which is most suitable for economical geothermal heating can be visually selected, so that a solid data and data foundation is laid for the next geothermal exploration and development.

The present application relates to a kind of seismic waveform classification calculation methods based on multi-frequency data body, belong to the high-quality reservoir prediction technical field of energy exploration field such as oil and gas field exploration, shale gas exploration, geothermal exploration, the method is first based on the 3D seismic data of target interval in study area, using time-frequency analysis method calculates 3 common frequency data bodies such as low frequency, medium frequency, high frequency, then sequentially carries out waveform clustering analysis method based on neural network training for 3 common frequency data bodies and carries out the binary analysis of seismic waveform, the study area is divided into 8 sub-regions, then using original data body carries out waveform overall correlation analysis and merging of 8 sub-regions, finally using different color scale represents the value of sub-region, drawing, using image representation waveform classification result.

The utility model discloses a thermoscope for geothermal exploration, which belongs to the technical field of geothermal data acquisition and comprises a stabilizing seat, a guide pipe and a plurality of uniformly distributed L-shaped reinforcing frames, matched temperature measuring pipes are inserted in the guide pipe, the upper ends in the temperature measuring pipes are fixedly connected with a mounting plate, a large-torque motor is fixedly mounted on the mounting plate, and a through hole is formed in the mounting plate. The output end of the mounting plate penetrates through the through hole and is fixedly connected with a transmission rod, the lower end of the transmission rod is fixedly connected with a temperature measuring assembly, an infrared thermometer is adopted as a temperature measuring element, and the precise transmission mechanism and the temperature measuring hole design are combined, so that accurate measurement of temperatures in different depths and different directions in the geothermal drill hole can be achieved; the infrared thermometer has the characteristic of non-contact temperature measurement, errors caused by contact in a traditional temperature measurement method can be avoided, and meanwhile, interference of the external environment on the temperature measurement result can be further reduced through intermittent alignment of the first temperature measurement hole and the second temperature measurement hole, and the temperature measurement precision is improved.

The invention belongs to the technical field of geothermal resource exploration, and discloses a geothermal target area optimization method and system based on multi-objective probability optimization, and the method comprises the steps: enabling a heat conduction equation to serve as a soft constraint to be embedded into a neural network loss function, and achieving the end-to-end fusion prediction of a physical rule and data drive; carrying out quantitative prediction on the uncertainty by adopting Monte Carlo Dropout; constructing a multi-objective optimization model of geothermal potential, uncertainty, cost and environmental risk, and solving a Pareto optimal leading edge by using an NSGA-II algorithm; calculating the value-at-risk and the conditional value-at-risk based on the prediction probability distribution to perform risk assessment; and finally, decision making is supported on the interaction platform. According to the method, the physical reasonability and precision of prediction are improved, the tradeoff relation between targets is displayed, and quantitative, scientific and comprehensive decision support is provided for geothermal exploration.

The present invention discloses a deep geothermal resource exploration method and system based on big data, and relates to the field of geothermal resource exploration technology. The deep geothermal resource exploration method based on big data includes the following steps: obtaining fault layer measurement data, and determining the fault structure layer based on the fault layer measurement data; obtaining fault inclination measurement data, based on the determined fault structure layer, determining the fault structure layer inclination through the fault inclination measurement data, and determining the fault hanging plate area based on the fault structure layer inclination; determining the exploration hole position on the determined fault hanging plate area, drilling and logging at the exploration hole position according to the set drilling depth, and obtaining the logging result; performing coincidence analysis on the logging result and the geophysical interpretation to determine the geothermal energy reservoir, which solves the problems of inaccurate positioning, high exploration cost and low efficiency caused by the complex structure of the fault layer in the traditional geothermal exploration process.

The application provides a method and device for evaluating fault-controlled geothermal reservoir resources, and the method comprises the following steps: obtaining the element content of soil on the surface of an exploration area and the element content in water samples; determining the heat source element content, the channel element content, the caprock element content and the reservoir element content according to the element content of soil and the element content in water samples; and evaluating the fault-controlled geothermal reservoir resources of the exploration area according to the heat source element content, the channel element content, the caprock element content and the reservoir element content. The application identifies and selects soil elements closely related to four elements, i.e. heat reservoir, caprock, channel and heat source, in fault-controlled geothermal exploration, and uses soil element indexes and parameters to identify and evaluate the properties of fault-controlled geothermal high-temperature, medium-temperature and low-temperature resources, so as to determine the favorable area of geothermal heat source and heat reservoir.

The invention relates to a formation strain calculation method based on a two-phase medium pressure balance equation, and belongs to the field of energy exploration such as oil and gas field exploration, shale gas exploration and geothermal exploration. The method comprises the following steps of: firstly, calculating a real strain value of a target interval encountered by a drilling well by adopting a formation strain calculation method based on a two-phase medium pressure balance equation on the basis of logging data, and then calculating an apparent strain value of the target interval of a research area by adopting an apparent dip angle method on the basis of three-dimensional seismic data; and finally, establishing a fitting relational expression between the visual strain value and the real strain value, thereby obtaining a strain array of the target interval of the research area.

The utility model discloses a temperature measuring device for geothermal exploration, and belongs to the technical field of temperature measuring devices, the temperature measuring device comprises a base, the top of the base is fixedly connected with a rectangular frame, the middle of the rectangular frame is fixedly connected with a concentric-square-shaped partition plate, and a rectangular block is arranged in the rectangular frame and located above the concentric-square-shaped partition plate; an adjusting seat is fixedly installed on one side of the rectangular block, a first electric push rod is hinged to the side, away from the rectangular block, of the adjusting seat, an L-shaped support is fixedly installed at the telescopic end of the first electric push rod, a temperature measuring instrument is fixedly installed at the bottom of the L-shaped support, and a second electric push rod is installed at the bottom end of the L-shaped support; the telescopic end of the second electric push rod is installed at the bottom end of the L-shaped support, and a supporting mechanism is arranged at the bottom end of the second electric push rod. The position and height of the temperature measuring instrument can be conveniently adjusted, and the detection requirements of different terrains can be met.

The utility model discloses a drilling temperature and pressure remote monitor shell for geothermal exploration, which belongs to the field of geothermal resource exploration and comprises a shell component and a charging component arranged on the outer side of the shell component and electrically connected with a data acquisition module in the shell component. The shell assembly comprises a monitor shell, a first screw cap and a second screw cap, the first screw cap and the second screw cap are connected to the two ends of the monitor shell, the first screw cap is provided with four through holes used for connecting wires in a penetrating mode, the second screw cap is provided with a hexagonal groove, and a waterproof connector used for being arranged outside the wires in a sleeving mode is fixedly embedded in the hexagonal groove. The temperature sensor, the pressure collector and the power supply battery can be integrated inside through the shell assembly, an ingenious waterproof mode is adopted, internal equipment can be protected against erosion, meanwhile, the shell is high in structural strength, suitable for being buried underground and good in concealment, a cable of the communication module can be led out from the interior, and the communication module is convenient to use. And the whole equipment has remote data transmission capability.

A quantitative heating system and method for measuring seabed heat flow belongs to the field of marine geothermal exploration and thermal property measurement technology. The system includes a constant current drive module (1), a current acquisition module (2), a voltage acquisition module (3), a control and data processing module (4), a heating module (5), and a temperature acquisition module (6). The constant current drive module (1) provides a driving voltage to the heating module (5) to generate a heating current. The current acquisition module (2) is used to acquire the actual current value in the heating module (5) in real time. The system and method of the present invention accurately calculate the total heating amount and invert the thermal conductivity of sediments through PI closed-loop constant current control, resistance-temperature model correction, and power sequence smooth fitting integration, thereby solving the problems of unstable power and large error in traditional open-loop heating and significantly improving the accuracy of seabed heat flow measurement.

The invention relates to the technical field of resource exploration, and discloses a geothermal resource exploration method and system based on multi-parameter fusion, and the method comprises the steps: obtaining the temperature gradient, heat flux and rock thermal conductivity data of a geothermal exploration region measurement point, carrying out the data quality verification, obtaining a geothermal parameter data set, and carrying out the time-space reference standardization, obtaining a standard geothermal parameter data set; according to the standard geothermal parameter data set, carrying out multi-parameter correlation modeling to obtain a parameter fusion model and carrying out thermal index calculation to obtain thermal index distribution of the measuring points; according to the thermal index distribution of the measuring points, vertical layered modeling is carried out, a three-dimensional layered thermal field model is obtained, thermal storage potential area identification is carried out, and candidate thermal storage layer space distribution is obtained; and according to the spatial distribution of the candidate heat storage layers, resource quality grading is carried out, a graded heat storage resource distribution map is obtained, development priority area evaluation is carried out, and a target development area is determined. According to the method, high-precision thermal field modeling and efficient thermal reservoir identification can be realized.

The utility model discloses a geothermal exploration temperature detector, and belongs to the field of geothermal exploration, the geothermal exploration temperature detector comprises a frame, a fixing plate is fixedly assembled on the outer side of the frame, a first motor is fixedly assembled on the top of the fixing plate, and a winding roller is fixedly assembled on a power output shaft of the first motor; one side of a transparent protective curtain is fixedly wound around the outer edge of the winding roller, and the other side of the transparent protective curtain is fixedly connected with a magnetic strip. A first driving motor drives a winding roller to rotate, that is, a magnetic strip is placed on the inner wall of a clamping groove and connected through the magnetic attraction principle, and then a transparent protective curtain can be unfolded on the outer side of a frame, so that the opening of the frame can be protected, it is guaranteed that soil cannot be splashed to the body of a worker at will during drilling, and the working efficiency is improved. And therefore, the problems that the existing device cannot perform protection, so that soil is randomly splashed to the body of a worker and equipment, and clothes are easy to smudge and the equipment is easy to damage are solved.

The invention relates to a multi-dimensional reinforced silane cross-linked chlorosulfonated polyethylene nano composite material as well as a preparation method and application thereof, and belongs to the technical field of high-performance special rubber composite materials. The technical scheme is as follows: the composite material comprises the following components in parts by weight: 100 parts of chlorosulfonated polyethylene, 3-15 parts of a compound silane crosslinking system, 5-30 parts of a multi-dimensional nano reinforced phase, 1-8 parts of a hyperbranched polymer modifier, 5-20 parts of an environment-friendly plasticizer, 0.1-2 parts of a catalyst, 10-60 parts of filler and 2-8 parts of a functional aid. The material is obviously superior to the prior art in the aspects of heat resistance grade, mechanical property, chemical medium resistance, electrical insulation characteristic, compression set and the like, and can be widely applied to the field of high-end equipment for extreme environments, such as nuclear power cables, deep sea oil exploitation, new energy automobiles, space flight and aviation, geothermal exploration and the like.

The invention relates to a high-temperature self-stabilization ferroelectric domain wall memory based on bismuth oxide (BFO) and a preparation method thereof, a memory function layer is formed by sequentially depositing an STO buffer layer with the thickness of 5 nm, a BFO film with the thickness of 100 nm and a planar Pt electrode pair on a strontium titanate (STO) substrate in the [001] direction, the STO substrate is obliquely cut by 0.2 degree in the [100] direction, the BFO film is of a stripe domain structure, and the electrode gap is not smaller than 500 nm. Through the limiting effect of a beveled substrate step, the BFO ferroelectric film only forms two polarization orientations, a periodic stripe domain structure is obtained, the polarization overturning controllability is improved, the electrode is prepared by adopting an electron beam photoetching and ion etching combined process, the electric domain overturning is ensured to penetrate through the film thickness, and the performance of the BFO ferroelectric film is improved. After 105 times of voltage pulse cycles at a high temperature of 135 DEG C, the device still keeps a rectification ratio greater than or equal to 25: 1, the turnover polarization retentivity is high, and the domain wall current attenuation rate is small. The bottleneck that a traditional FeRAM fails in a high-temperature environment is broken through, the storage density potential is larger than 1 Gb, and the FeRAM has the effect of being suitable for high-temperature application scenes such as aerospace, vehicle-mounted electronics and geothermal exploration.

The application provides a multi-source geothermal data intelligent cleaning and normalization method, device, equipment and storage medium, and relates to the technical field of geothermal exploration data processing. The method comprises the following steps: metadata analysis and standardization are performed on multi-source geothermal data; physical threshold and multi-physical field coupling constraint checking are performed through a rule verification subsystem; high-dimensional nonlinear features are mined and anomalies are marked through a deep learning anomaly detection subsystem; a unified four-dimensional space-time reference system and a physical dimension standard library are established, data is mapped to the reference system, coordinate conversion, deep alignment, unit standardization and missing value completion are performed; a quality evaluation report is generated and an expert feedback interface is provided, a deep learning model is optimized online based on the feedback; and the cleaned data is versioned and governed and is published in an interfaced manner. The application realizes space-time unification and intelligent management of multi-source heterogeneous geothermal data, improves the scientificity and consistency of the data, and provides a highly reliable data basis for geothermal resource exploration and development.

The utility model relates to the technical field of geothermal exploration, and disclose a kind of water temperature monitoring devices of geothermal well, including monitoring display device, armoured water temperature detection module and support frame, the surface of armoured water temperature detection module is threadedly connected with protection assembly.The water temperature monitoring device of geothermal well, by the setting of protection assembly, in use, metal limiting pipe is installed on the surface of armoured water temperature detection module, counterweight has weight, so that armoured water temperature detection module keeps vertical state, reduce the friction with well wall, while protection ring is all fluorine ether rubber, with corrosion resistance, high temperature resistance and elastic characteristics, reduce the intensity of collision, to armoured water temperature detection module is protected, avoid armoured water temperature detection module when moving in geothermal well, it can collide with well wall, while fluid flow or pressure change in well can cause sensor to shake, help to protect armoured water temperature detection module.

The invention relates to the technical field of geothermal detection equipment, and discloses a multifunctional geothermal detector which comprises three vertical rods, the two vertical rods are movably connected through two lower supporting beams and two upper supporting beams respectively, a connecting block is movably connected between the two lower supporting beams, a connecting block is also movably connected between the two upper supporting beams, and the connecting block is movably connected between the two upper supporting beams. The two lower supporting beams form a group, the two upper supporting beams form a group, a sliding block is movably installed on one side of each vertical rod, a main control box is further fixedly installed on one side of one vertical rod, a limiting shaft is movably installed in each sliding block, a side supporting plate is movably installed on the outer side of each sliding block, and a rack is fixedly installed at the tops of the three groups of upper supporting beams. The three vertical rods are movably connected through the three sets of lower supporting beams and the three sets of upper supporting beams, folding storage and unfolding supporting of the three vertical rods can be achieved, therefore, transportation and assembly of the whole device are facilitated, and the convenience of outdoor operation is improved.

The present invention relates to a method for calculating the maximum horizontal principal stress of a formation suitable for a structural compression state, and belongs to the field of oil and gas field exploration technology, in particular to the field of new energy exploration such as shale gas exploration and geothermal exploration. The method analyzes the geostress of multiple shale gas exploration areas and geothermal exploration areas with structural compression states. Based on the Huang Rongzun model for conventional geostress calculation, the method discovers the intrinsic correlation between the maximum differential stress and the compression structure, introduces a correction term related to the maximum differential stress, and proposes an improved calculation formula, thereby improving the accuracy and adaptability of the Huang Rongzun model and enabling it to more accurately reflect the maximum horizontal principal stress field under the compression state.

The invention discloses a magnetotelluric sounding method and a magnetotelluric sounding system for geothermal exploration. The magnetotelluric sounding method comprises the following steps: acquiring magnetic field intensity and frequency characteristics of a working area; determining observation information of the magnetotelluric observation system according to the magnetic field intensity and frequency characteristics of the working area, and obtaining magnetotelluric data based on the observation information; performing correlation parameter comparative analysis on the preprocessed magnetotelluric data to obtain a correlation parameter statistical comparison result; and establishing a geoelectric model according to an inversion result based on the related parameter statistical result, and generating an address color release profile map according to the geoelectric model so as to perform geothermal resource detection. According to the invention, the problems of shallow exploration depth, low interpretation precision, large error and the like in the existing geothermal geology survey can be solved.

The application relates to a geothermal exploration ground temperature measuring instrument, and relates to the technical field of geothermal exploration equipment. The geothermal exploration ground temperature measuring instrument comprises a rack, a drill bit part, a rotating and pushing assembly, a measuring assembly and an auxiliary stabilizing part. The drill bit part is installed on the rack, the rotating and pushing assembly is installed on the rack, the rotating and pushing assembly comprises a rotating part and a pushing part, the rotating part is installed on the rack, the rotating part has a force for driving the drill bit part to rotate, the pushing part is installed on the rack, the pushing part has a pushing force for driving the drill bit part to move away from or close to the rack, the measuring assembly is installed on the rotating and pushing assembly, the measuring assembly is used for geothermal measurement, and the auxiliary stabilizing part is installed on the rack and used for stabilizing the rack. The application has the effect of improving the measurement efficiency.

The present invention belongs to the field of geothermal resource exploration technology, and in particular, relates to a geothermal exploration method based on machine learning. First, regional adaptive feature engineering is carried out, and geological, climate, historical exploration data and satellite images are integrated, weighted averaged and multi-scale fused to extract regional adaptive features. Then a multi-level integrated learning model is designed, which is divided into three layers: basic, advanced, and meta-model. Information is transmitted by weighted voting between layers, and model performance is improved through dynamic weight adjustment, collaborative optimization, and weighted combined output. Finally, a deviation correction mechanism is introduced to correct the final output based on the model output error. The present invention effectively integrates multi-source data, overcomes the limitations of traditional exploration methods, improves the efficiency and accuracy of geothermal resource exploration, reduces costs, and provides a reliable basis for geothermal resource development. It has important application value and broad market prospects.

The utility model relates to a pump for a geothermal exploration underground water pumping test, which comprises a deep-well pump motor, a deep-well pump direct-connection pipe fitting, a water feeding connecting shaft pipe fitting, a water outlet flange pipe fitting and a water feeding impeller pipe fitting, the deep-well pump direct-connection pipe fitting is connected to the bottom side of the deep-well pump motor, the water outlet flange pipe fitting is connected to one side of the deep-well pump direct-connection pipe fitting, and the water feeding connecting shaft pipe fitting is connected to the other side of the deep-well pump direct-connection pipe fitting. A plurality of groups of water feeding connecting shaft pipe fittings are arranged, the plurality of groups of water feeding connecting shaft pipe fittings are connected up and down, the water feeding connecting shaft pipe fitting on the uppermost side is arranged on the bottom side of the deep-well pump direct connecting pipe fitting, and the water feeding impeller pipe fitting is arranged on the bottom side of the water feeding connecting shaft pipe fitting on the lowermost side. The arrangement of the pump for the geothermal exploration test is optimized, the structural design of a traditional long-shaft deep-well pump is changed, the long-shaft deep-well pump is improved into the long-shaft deep-well pump which can be conveniently installed and connected, pollution and running resistance can be reduced by adopting the design of the shaft and water separation channel, and the long-shaft deep-well pump is suitable for being popularized and used.