CN111505732A - Simulation system and method for simulating regional geothermal distribution by using equivalent temperature - Google Patents

Simulation system and method for simulating regional geothermal distribution by using equivalent temperature Download PDF

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Publication number
CN111505732A
CN111505732A CN202010478917.8A CN202010478917A CN111505732A CN 111505732 A CN111505732 A CN 111505732A CN 202010478917 A CN202010478917 A CN 202010478917A CN 111505732 A CN111505732 A CN 111505732A
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temperature
geothermal
distribution
data
equivalent
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赵文韬
荆铁亚
王金意
张健
张国祥
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Huaneng Clean Energy Research Institute
Huaneng Group Technology Innovation Center Co Ltd
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Huaneng Clean Energy Research Institute
Huaneng Group Technology Innovation Center Co Ltd
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Priority to CN202010478917.8A priority Critical patent/CN111505732A/en
Publication of CN111505732A publication Critical patent/CN111505732A/en
Priority to PCT/CN2020/122578 priority patent/WO2021238037A1/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V9/00Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00
    • G01V9/005Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00 by thermal methods, e.g. after generation of heat by chemical reactions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08Thermal analysis or thermal optimisation

Abstract

The invention provides a simulation system and a method for simulating regional geothermal distribution by using equivalent temperature, which comprises an experiment box, a top heating device, a bottom heating device, a rock stratum distribution model, a temperature sensor, a temperature detector and a data workbench, wherein the top and the bottom of an inner cavity of the experiment box are respectively provided with the top heating device and the bottom heating device which are used for heating the inner cavity of the experiment box; a rock stratum distribution model is arranged in the inner cavity of the experiment box; a plurality of temperature sensors arranged in an array structure are arranged on the rock stratum distribution model; each temperature sensor is connected with a temperature detector; the temperature detector is connected with the data workbench; the invention can realize regional geothermal distribution simulation based on equivalent geothermal temperature by using a relatively simple system, and has better popularization significance in the field of geothermal exploration and development.

Description

Simulation system and method for simulating regional geothermal distribution by using equivalent temperature
Technical Field
The invention relates to the technical field of geothermal exploration, in particular to a system and a method for simulating regional geothermal distribution by using equivalent temperature.
Background
The geothermal resource is a clean renewable energy source with large reserve, high efficiency and good stability, and has great significance for energy conservation, emission reduction, global warming and haze treatment. The geothermal resources in most areas in the north of China are rich, the heating demand is large, and the development of the geothermal heating industry is great in recent years. However, due to the complex underground geological conditions, before the development of geothermal resources, the occurrence of geothermal resources in different research areas needs to be effectively explored in advance, so as to reduce the technical risk and economic risk of geothermal exploration, development and utilization. For a research area with low exploration degree and without direct geothermal development and utilization conditions, because the result of directly implementing geothermal drilling is relatively high, local geothermal conditions are often predicted by means of numerical simulation and the like so as to obtain geothermal resources with higher reliability and better quality.
Although numerical simulation is the most important means for predicting geothermal resources at present, the reliability and accuracy of the result of the geothermal numerical simulation are limited due to the lack of deep temperature data. Meanwhile, after all, the numerical simulation only utilizes software to calculate, the calculated result is only an ideal situation which accords with a theoretical algorithm, and the heat loss, the size difference, the parameter error and the like in a rock or solid material model are not considered, so the reliability of the result is greatly limited to a certain degree. If an experimental geothermal simulation system capable of relatively simulating the actual rock stratum distribution condition and the heat distribution range can be developed, the widely existing problem that a numerical model is relatively lack in demonstration can be effectively solved.
At present, a set of experimental model capable of simulating the geothermal condition in a specific range is not established, and meanwhile, the heat propagation balance between the earth surface temperature and the depth equivalent temperature is not considered in the model, so that a certain distance exists from the final purpose of effective comparison between a numerical model and a solid model. Therefore, it is necessary to form a set of experiment system which considers deep equivalent geothermal temperature and can simulate and describe regional geothermal geological conditions, so as to meet the research requirements of improving numerical simulation reliability and providing key parameters for numerical simulation, and fill the blank that experimental simulation means are relatively lacked in the stage of geothermal exploration and development.
Disclosure of Invention
The invention aims to provide a simulation system and a method for simulating regional geothermal distribution by using equivalent temperature, which overcome the defect of poor reliability of the existing numerical simulation for geothermal exploitation.
In order to achieve the purpose, the invention adopts the technical scheme that:
the invention provides a simulation system for simulating regional geothermal distribution by using equivalent temperature, which comprises an experiment box, a top heating device, a bottom heating device, a rock stratum distribution model, a temperature sensor, a temperature detector and a data workbench, wherein the top and the bottom of an inner cavity of the experiment box are respectively provided with the top heating device and the bottom heating device which are used for heating the inner cavity of the experiment box; a rock stratum distribution model is arranged in the inner cavity of the experiment box; a plurality of temperature sensors arranged in an array structure are arranged on the rock stratum distribution model; each temperature sensor is connected with a temperature detector; the temperature detector is connected with the data workbench.
Preferably, the inner wall of the experimental box is paved with a heat insulation material.
Preferably, a ruler is arranged on the outer wall of the experiment box.
Preferably, the scale of the scale coincides with the height of the formation distribution model.
Preferably, the formation distribution model is a 3D printed structure.
Preferably, the top heating means comprises a top heating plate and a top heater, wherein the top heater and the top heating plate are connected for heating the top.
Preferably, the bottom heating device comprises a bottom heating plate, the bottom heating plate is connected with a bottom heater, and the bottom heater and the bottom heating plate are matched to heat the bottom.
A simulation method for simulating regional geothermal distribution by using equivalent temperature is based on a simulation system for simulating regional geothermal distribution by using equivalent temperature, and comprises the following steps:
step 1, acquiring construction and deposition data of a research area;
step 2, building a rock stratum distribution model according to the construction and deposition data obtained in the step 1;
step 3, assembling a simulation region geothermal distribution simulation system;
step 4, respectively starting the top heating device and the bottom heating device until the temperatures of the top heating plate and the bottom heating plate reach preset temperatures; then starting a data workbench and a temperature detector;
and 5, after the temperature data are stable, recording the temperature value of each temperature sensor, simultaneously acquiring heat conduction characteristic data and burial depth data of each layer, and drawing a geothermal resource simulation distribution map.
Compared with the prior art, the invention has the beneficial effects that:
the simulation system and method for simulating regional geothermal distribution by using equivalent temperature can establish a geothermal model in a regional range by using experimental means, and the geothermal model can be used for simulating the geothermal physical property parameters and temperature distribution of a research region, thereby laying an experimental foundation for further carrying out geothermal simulation work; meanwhile, the distribution of three-dimensional geothermal resources in the region can be simulated based on equivalent temperature simulation, and a solid data reference foundation is laid for regional geothermal development; the system can effectively improve the reliability of numerical simulation, provides research requirements of key parameters for numerical simulation, and fills the blank that the experimental simulation means is relatively lacked in the stage of geothermal exploration and development. The invention can realize regional geothermal distribution simulation based on equivalent geothermal temperature by using a relatively simple system, and has better popularization significance in the field of geothermal exploration and development.
Drawings
FIG. 1 is a schematic flow diagram of the present invention.
Fig. 2 is a schematic diagram of the system of the present invention.
Fig. 3 is a schematic diagram of simulated distribution of geothermal resources according to the present invention.
Detailed Description
The present invention will be described in further detail below with reference to the accompanying drawings.
As shown in fig. 2, the simulation system for simulating regional geothermal distribution by using equivalent temperature provided by the invention comprises an experimental box 1, a thermal insulation material 2, a scale 3, a top heater 4, a top heating plate 5, a bottom heater 6, a bottom heating plate 7, a rock stratum distribution model 8, a temperature sensor 9, a temperature detector 10, a data transmission line 11 and a data workbench 12, wherein the thermal insulation material 2 is paved on the inner wall of the experimental box 1; and a scale 3 is arranged on the outer wall of the experimental box 1.
The inner chamber top of experimental box 1 is provided with top hot plate 5, top hot plate 5 is connected with top heater 4, through the cooperation of top heater 4 and top hot plate 5, realizes the heating to the top.
The inner chamber bottom of experimental box 1 is provided with bottom hot plate 7, bottom hot plate 7 is connected with bottom heater 6, through the cooperation of bottom heater 6 and bottom hot plate 7, realizes the heating to the bottom.
The inner cavity of the experimental box 1 is provided with a rock stratum distribution model 8, and the rock stratum distribution model 8 is of a 3D printing structure.
The thickness of each layer of rock in the rock formation distribution model 8 corresponds to the depth reading of the scale 3.
Each rock stratum in the rock stratum distribution model 8 is provided with a temperature sensor 9; each temperature sensor 9 is connected to a thermometer 10.
The temperature detector 10 is connected with a data workbench 12 through a data transmission line 11.
The data workbench 12 is used for acquiring temperature data of each temperature sensor and comparing the temperature data with a preset geothermal gradient curve.
The experimental box 1 is box-shaped, the size of the experimental box is preferably 70cm (long) × 20cm (wide) × 120cm (high), the pipe wall is made of a material with good heat insulation performance, the experimental box can bear the temperature change of 0-300 ℃ and the transverse pressure generated by the rock stratum distribution model 8, and the experimental box cannot deform obviously due to high temperature or pressure in the experimental process.
The heat insulation material 2 should be made of a material with good heat insulation performance and sealing performance, the thickness is preferably 5cm, and the heat insulation material should be closely attached to the wall of the experimental box 1.
The scale 3 is clear in number, the total length is more than 100cm, and the graduation is at least 5 cm; the 100cm scale on the scale 3 should be level with the top surface of the bottom heating plate 7 and the 0cm scale should be level with the bottom surface of the top heating plate 5.
The top heater 4 should be regulated and controlled stably within the temperature range of 0-30 ℃, the scale division is adjusted to be 1 ℃, and the bottom surface of the top heater should be tightly attached to the top heating plate 5.
The top heating plate 5 should be made of a material with good heat conductivity, and the bottom surface of the top heating plate should be closely attached to the top surface of the rock stratum distribution model 8.
The bottom heater 6 should be regulated and controlled stably within the temperature range of 150-300 ℃, the graduation is adjusted to be 1 ℃, and the top surface of the bottom heater should be tightly attached to the bottom heating plate 7.
The bottom heating plate 7 should be made of a material with good heat conductivity, and the top surface of the bottom heating plate should be closely attached to the bottom surface of the rock stratum distribution model 8.
The total size of the rock stratum distribution model 8 is preferably 65cm (length) × 10cm (width) × 100cm (height), the rock stratum distribution model is reduced according to the same proportion of the actual rock stratum distribution situation, the top surface and the bottom surface of the rock stratum distribution model are flat and smooth and are tightly attached to the top heating plate 5 and the bottom heating plate 7, the rock stratum distribution model can be prepared through a 3D printing technology, the heat conductivity of each layer can be set through adjusting the porosity of a 3D printing material, and the heat conductivity can be set within the range of 0.5-7.0W/(m.K) according to the simulation requirement.
The temperature sensors 9 are arranged at different positions in the experiment box 1 in an array structure: in the vertical direction, a temperature sensor 9 is preferably arranged every 5 cm; in the horizontal direction, it is preferable to arrange one temperature sensor 9 every 5-10 cm.
The measuring range of the temperature detector 10 is-10-320 ℃, and the minimum scale is 1 ℃.
The data table 12 should have an input surface temperature T0Equivalent temperature TeqBasic functions such as actual geothermal gradient curve, automatic acquisition of temperature values of the temperature sensors 9 in the experimental box 1, drawing of geothermal resource simulation temperature distribution diagram and the like.
As shown in fig. 1, an operation procedure of a geothermal distribution system using an equivalent temperature simulation area of the present invention is as follows:
step 1, collecting regional structure and deposition data of a research area, and intensively collecting deep equivalent temperature TeqEarth surface temperature T0And correlating the geothermal data and lithology data.
Collecting local stratum distribution data and geothermal well drilling data by combining geological background of the research area, wherein the important collected data comprises but is not limited to top surface distribution maps and bottom surface distribution maps of each rock stratum of the research area, thickness distribution maps of each rock stratum and average thermal conductivity coefficient k of each rock stratumxSpecific heat capacity cxSurface average temperature T0Deep (typically 10000m deep) equivalent temperature Teq. Wherein the average thermal conductivity k of the formationxAnd specific heat capacity cxSelecting a representative sample with good sealing performance for measurement; mean temperature of earth surface T0Local recent data should be selected and averaged; deep equivalent temperature TeqThe method is obtained by performing experimental analysis on a plurality of representative drilling wells in the local area and the neighboring area. If geothermal drilling exists locally, drilling coordinates, depth and geothermal gradient curves can be recorded for later calibration of the model.
And 2, constructing a rock stratum digital model by combining the regional geothermal rock stratum distribution condition, and constructing a rock stratum distribution model 8 by utilizing a 3D printing technology.
Based on the collected regional formation data, the method comprises the following steps of 1: 10000 proportion converts the top depth and bottom depth data of each rock stratum into a rock stratum digital model from top to bottom, and each layerThe top and bottom positions should be clear and continuous. Wherein the thermal conductivity kxAdjacent strata in proximity may be merged for simplification to reduce the number of simulated layers; when the deep part lacks of rock stratum distribution data, the shallow lithology can be gradually transited to the corresponding heat conductivity coefficient k of the magma rockxThe value is preferably 6-7W/(mK). Finally, based on the above principle, a 0-100cm rock formation distribution model 8 can be established, and the plane width of the model is preferably consistent with the size in the system. If experimental data show that the corresponding depth of the equivalent temperature is obviously lower than 10000m, the equivalent temperature T can be corresponding to the actual situationeqInstead of the equivalent temperatures described above.
And 3, assembling the regional geothermal distribution simulation system, inputting the existing burial depth-temperature data into a data workbench 12, and putting the built rock stratum distribution model 8 into the regional geothermal distribution simulation system, wherein the model is strictly flush with the scale 3 and the temperature sensor 9, namely the top surface of the model is aligned with the 0cm scale mark, and the bottom surface of the model is aligned with the 100cm scale mark, so that the measured temperature and the geological position are ensured to be in one-to-one correspondence.
According to the system schematic diagram, firstly, a bottom heater 6 and a bottom heating plate 7 are placed at the bottom of an experimental box 1 which is fully paved with heat insulation materials 2, the top surface of the bottom heater 6 is tightly contacted with the bottom heating plate 7, and the top surface of the bottom heating plate 7 is flush with the 100cm scale on a scale 3. Secondly, put into experimental box 1 with the stratum distribution model 8 that step 2 was built to ensure that each layer degree of depth and the corresponding scale parallel and level on scale 3, stratum distribution model 8 bottom surface should be level and smooth, with 100cm scale parallel and level, and with bottom hot plate 7 top surface in close contact with. Then, a top heating plate 5 and a top heater 4 are sequentially arranged on the top surface of the rock stratum distribution model 8, and the top surface of the rock stratum distribution model 8 is ensured to be flat, level with 0cm scale and in close contact with the bottom surface of the top heating plate 5. And finally, inserting temperature sensors 9 and thermometers 10 into the drill holes uniformly arranged on one side and the back of the experimental box 1 in sequence, wherein each temperature sensor 9 should extend into the rock stratum distribution model 8, and the other end of each thermometer 10 is connected with a data workbench 12 through a data transmission line 11.
And 4, starting the top heater 4 and the bottom heater 6 to the designed temperature, starting the data workbench 12 and the temperature detector 10, and observing the experimental temperature data collected by the data workbench 12 at any time.
The top heater 4 is activated and the top heater 4 is preset to the local surface temperature T0(ii) a The bottom heater 6 is activated and the bottom heater 6 is preset to an equivalent temperature Teq. Starting the data workbench 12 and the temperature detector 10, and observing the numerical values of the temperature sensors 9 displayed on the data workbench 12 at any time; if the local temperature is too high or too low, the heating should be stopped immediately and the reasons for overheating/supercooling should be checked, and the simulation system may not be restarted until the abnormal reasons are resolved.
And 5, after the temperature data are stable, recording the temperature value of each temperature sensor 9, inputting the heat conduction characteristic data and the burial depth data of each layer which are measured in advance through the data workbench 12, and drawing a geothermal resource simulation distribution diagram (figure 3).
The system is heated for a period of time, and after the temperature value of the corresponding position of each temperature sensor 9 is stable, the burial depth, the temperature and the heat conduction characteristic data of each temperature measuring point are collected and derived on the data workbench 12. If a single-well geothermal gradient curve is input in advance in the data workbench 12, the difference between the simulated temperature and the actual geothermal gradient can be compared, and the model can be properly adjusted if the difference is obvious. And finally, drawing data obtained by experimental simulation into a geothermal resource distribution map by utilizing surfer software so as to further guide the exploration and development work of geothermal resources.
And 6, sequentially disassembling the top heater 4, the bottom heater 6, the thermometer 10, the temperature sensor 9 and the data workbench 12, and recycling the experimental system and each experimental part for the next use.
After the data recording was complete and the experiment was complete, the top heater 4 and the bottom heater 6 were turned off, allowing the system to cool gradually. After the data workbench 12 shows that the temperature in the experiment box 1 is lower than 20 ℃, the experiment box 1 is started, the temperature detector 10 and the temperature sensor 9 are sequentially taken out, the top heater 4, the top heating plate 5, the rock stratum distribution model 8, the bottom heating plate 7 and the bottom heater 6 are gradually taken out from top to bottom, the data workbench 12 is closed, and all experiment components are orderly arranged for the next use.
The geothermal model in the regional scope can be established by utilizing experimental means, and the geothermal model can be used for simulating the geothermal physical property parameters and the temperature distribution of a research region, thereby laying an experimental foundation for further carrying out geothermal simulation work; meanwhile, the distribution of regional three-dimensional geothermal resources can be simulated based on equivalent temperature simulation, and a solid data reference foundation is laid for regional geothermal development. The invention can realize regional geothermal distribution simulation based on equivalent geothermal temperature by using a relatively simple system, and has better popularization significance in the field of geothermal exploration and development.
The above description is only exemplary of the present invention and should not be construed as limiting the scope of the invention, so that the substitution of equivalent elements or the equivalent changes and modifications made in accordance with the scope of the present invention should be covered thereby.

Claims (8)

1. A simulation system for simulating regional geothermal distribution by using equivalent temperature is characterized by comprising an experiment box (1), a top heating device, a bottom heating device, a rock stratum distribution model (8), a temperature sensor (9), a temperature detector (10) and a data workbench (12), wherein the top and the bottom of an inner cavity of the experiment box (1) are respectively provided with the top heating device and the bottom heating device which are used for heating the inner cavity of the experiment box (1); a rock stratum distribution model (8) is arranged in the inner cavity of the experiment box (1); a plurality of temperature sensors (9) arranged in an array structure are arranged on the rock stratum distribution model (8); each temperature sensor (9) is connected with a temperature detector (10); the temperature detector (10) is connected with the data workbench (12).
2. The simulation system for simulating the geothermal distribution of a region by using equivalent temperature as claimed in claim 1, wherein the inner wall of the experimental box (1) is paved with thermal insulation materials (2).
3. A simulation system for simulating geothermal distribution using equivalent temperatures according to claim 1, characterized in that the outer wall of the experimental box (1) is provided with a scale (3).
4. A simulation system for simulating geothermal distribution of a zone using equivalent temperatures according to claim 3, wherein the scale of the scale (3) is in accordance with the height of the formation distribution model (8).
5. A simulation system for simulating geothermal distribution of a zone using equivalent temperatures according to claim 1, characterised in that the formation distribution model (8) is a 3D printed structure.
6. A simulation system for simulating geothermal distribution using equivalent temperatures according to claim 1, characterised in that the top heating means comprises a top heating plate (5) and a top heater (4), wherein the top heater (4) and the top heating plate (5) are connected for heating the top.
7. A simulation system for simulating geothermal distribution of an area using equivalent temperatures according to claim 1, wherein the bottom heating means comprises a bottom heating plate (7), the bottom heating plate (7) is connected with a bottom heater (6), and the bottom heating is realized by the cooperation of the bottom heater (6) and the bottom heating plate (7).
8. A simulation method for simulating geothermal distribution of a region by using equivalent temperature, which is based on the simulation system for simulating geothermal distribution of a region by using equivalent temperature of any one of claims 1 to 7, and comprises the following steps:
step 1, acquiring construction and deposition data of a research area;
step 2, building a rock stratum distribution model according to the construction and deposition data obtained in the step 1;
step 3, assembling a simulation region geothermal distribution simulation system;
step 4, respectively starting the top heating device and the bottom heating device until the temperatures of the top heating plate and the bottom heating plate reach preset temperatures; then, starting a data workbench (12) and a temperature detector (10);
and 5, after the temperature data are stable, recording the temperature value of each temperature sensor (9), simultaneously acquiring heat conduction characteristic data and burial depth data of each layer, and drawing a geothermal resource simulation distribution map.
CN202010478917.8A 2020-05-29 2020-05-29 Simulation system and method for simulating regional geothermal distribution by using equivalent temperature Pending CN111505732A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112541270A (en) * 2020-12-16 2021-03-23 湖北省地质环境总站 Hot spring cause model based on fracture convection type geothermal system
WO2021238037A1 (en) * 2020-05-29 2021-12-02 中国华能集团清洁能源技术研究院有限公司 Simulation system and method for simulating regional geothermal distribution by using equivalent temperature

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3805587A (en) * 1972-03-13 1974-04-23 W Sayer Method and apparatus for locating geothermal sources of energy
JP5334221B1 (en) * 2012-05-11 2013-11-06 国立大学法人信州大学 Analysis method and analysis program for thermal response test and pumping test
TWI625460B (en) * 2016-05-20 2018-06-01 國立臺南大學 Enhanced geothermal system and method for building such system
CN106483163B (en) * 2016-12-30 2017-11-21 西安科技大学 Deep-well obturation stope cools and underground heat extracting experiment analogue means and method
CN110274928A (en) * 2019-07-03 2019-09-24 重庆大学 The simulation experiment method of coal and rock HEAT TRANSFER LAW under deep mining Geothermal Conditions
CN111505732A (en) * 2020-05-29 2020-08-07 中国华能集团清洁能源技术研究院有限公司 Simulation system and method for simulating regional geothermal distribution by using equivalent temperature
CN111579586A (en) * 2020-05-29 2020-08-25 中国华能集团清洁能源技术研究院有限公司 System and method for measuring equivalent geothermal temperature

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021238037A1 (en) * 2020-05-29 2021-12-02 中国华能集团清洁能源技术研究院有限公司 Simulation system and method for simulating regional geothermal distribution by using equivalent temperature
CN112541270A (en) * 2020-12-16 2021-03-23 湖北省地质环境总站 Hot spring cause model based on fracture convection type geothermal system

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