CN-122020343-A - Real-time blockage risk prediction method and related device for geothermal tail water recharging system

CN122020343ACN 122020343 ACN122020343 ACN 122020343ACN-122020343-A

Abstract

The invention discloses a real-time blockage risk prediction method and a related device for a geothermal tail water recharging system, and belongs to the technical field of geothermal recharging monitoring. The method comprises the steps of obtaining historical tail water recharging parameters of a geothermal tail water recharging system from a previous cleaning time node, generating a tail water recharging parameter time sequence, obtaining geological environment parameters, medium characteristic parameters and geothermal tail water recharging system design parameters, constructing a geothermal tail water recharging system model to obtain a tail water recharging twin body, presetting blocking factors, inputting the tail water recharging parameter time sequence into the tail water recharging twin body to generate blocking factor distribution state data, obtaining real-time tail water recharging parameters, carrying out blocking risk analysis under blocking factor transfer based on the blocking factor distribution state data and the real-time tail water recharging parameters, generating blocking risk judging information, and carrying out blocking risk early warning based on the blocking risk judging information. The invention solves the technical problems of delayed prediction of the blockage risk and low accuracy in the prior art.

Inventors

ZHENG LEI
ZHANG DINGFAN
LIU YULIN
SHAN SHAORONG
SUN RUIQIANG
XU KAI
ZHONG PING
CAO SHOUFENG

Assignees

西安热工研究院有限公司
苏州西热节能环保技术有限公司

Dates

Publication Date: 20260512
Application Date: 20260120

Claims (10)

1. The real-time blockage risk prediction method for the geothermal tail water recharging system is characterized by comprising the following steps of: acquiring historical tail water recharging parameters of the geothermal tail water recharging system after the last cleaning time node, and generating a tail water recharging parameter time sequence; obtaining geological environment parameters, medium characteristic parameters and geothermal tail water recharging system design parameters, and constructing a geothermal tail water recharging system model to obtain a tail water recharging twin body; Presetting a blocking factor, inputting the tail water recharging parameter time sequence into a tail water recharging twin body, and generating blocking factor distribution state data; acquiring real-time tail water recharging parameters, and carrying out blockage risk analysis under blockage factor transfer based on the blockage factor distribution state data and the real-time tail water recharging parameters to generate blockage risk judgment information; and performing jam risk early warning based on the jam risk judging information.
2. The method for predicting the risk of real-time blockage of a geothermal tail water recharging system according to claim 1, wherein the constructing a geothermal tail water recharging system model to obtain a tail water recharging twin body specifically comprises: And constructing a geothermal tail water recharging system model by carrying out integrated simulation of fluid mechanics and mineral precipitation on the geothermal tail water recharging system based on the geological environment parameters, the medium characteristic parameters and the geothermal tail water recharging system design parameters, so as to obtain the tail water recharging twin body.
3. The method for predicting the real-time blocking risk of a geothermal tail water recharging system according to claim 1, wherein the obtaining the real-time tail water recharging parameter, performing blocking risk analysis under blocking factor transfer based on the blocking factor distribution state data and the real-time tail water recharging parameter, and generating blocking risk judging information specifically includes: Reading a preset blocking factor; collecting historical blocking state transfer data aiming at the preset blocking factors; training a state transition analyzer based on the historical occlusion state transition data; Using the state transition analyzer to perform state transition prediction according to the real-time tail water recharging parameters by taking the blocking factor distribution state data as a starting point, and generating a prediction transition result; And performing jam risk analysis according to the predicted transfer result to generate the jam risk judgment information.
4. The method for predicting risk of blocking in real time of a geothermal tail water recharging system according to claim 3, wherein the step of performing risk analysis of blocking according to the predicted transfer result, the step of generating the risk judgment information of blocking specifically includes: Constructing a blocking factor characteristic threshold value of blocking occurrence; calculating the similarity between the predicted transfer result and the blocking factor characteristic threshold value, and generating a predicted congestion risk; And judging whether the predicted congestion risk is larger than a preset risk threshold value, and generating the congestion risk judgment information.
5. The method for predicting the risk of blockage in real time of a geothermal tail water recharging system according to claim 1, wherein the step of performing the early warning of the risk of blockage based on the blockage risk judging information specifically comprises: And when the blockage risk early warning signal is generated, automatically sending a cleaning equipment signal, starting cleaning of a recharging path of the geothermal tail water recharging system, and starting a standby recharging path in a cleaning period.
6. The method for predicting risk of blockage in real time in a geothermal tail water recharging system according to claim 1, wherein after performing risk of blockage pre-warning based on the risk of blockage judgment information, the method further comprises: Analyzing the correlation relation between the historical tail water recharging parameters and preset blocking factors; constructing a recharging parameter self-adaptive optimization model based on the correlation relation and the geothermal tail water recharging system design parameters; And carrying out optimization analysis on the real-time tail water recharging parameters based on the recharging parameter self-adaptive optimization model.
7. The method for predicting risk of blockage in real time in a geothermal tail water recharge system of claim 1, wherein the predetermined blockage factors include particle deposition, chemical precipitation, gas evolution, and biological blockage, and each blockage factor corresponds to an associated specific tail water recharge parameter characterization term: particle deposition corresponds to tail water turbidity and suspended particle concentration; The chemical precipitation corresponds to the pH value of tail water and the concentration of calcium and magnesium ions; The gas precipitation corresponds to the recharging pressure and the content of tail water dissolved gas; the bio-plug corresponds to the tail water temperature and the organic matter concentration.
8. A real-time blockage risk prediction system for a geothermal tail water recharging system, comprising: the historical tail water recharging parameter acquisition module is used for acquiring historical tail water recharging parameters of the geothermal tail water recharging system after the last cleaning time node and generating a tail water recharging parameter time sequence; the tail water recharging twin body construction module is used for acquiring geological environment parameters, medium characteristic parameters and geothermal tail water recharging system design parameters, constructing a geothermal tail water recharging system model and obtaining a tail water recharging twin body; the blocking factor distribution state data determining module is used for presetting blocking factors and inputting the tail water recharging parameter time sequence into a tail water recharging twin body to generate blocking factor distribution state data; the real-time blocking risk judgment information determining module is used for acquiring real-time tail water recharging parameters, and carrying out blocking risk analysis under blocking factor transfer based on the blocking factor distribution state data and the real-time tail water recharging parameters to generate blocking risk judgment information; And the blockage risk early warning module is used for carrying out blockage risk early warning based on the blockage risk judging information.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the real-time blockage risk prediction method of the geothermal tail water recharge system of any one of claims 1-7 when the computer program is executed.
10. A computer readable storage medium storing a computer program which when executed by a processor implements the real-time blockage risk prediction method of a geothermal tail water recharge system of any one of claims 1-7.

Description

Real-time blockage risk prediction method and related device for geothermal tail water recharging system Technical Field The invention belongs to the technical field of geothermal recharging monitoring, and relates to a real-time blockage risk prediction method and a related device of a geothermal tail water recharging system. Background Geothermal resources are used as clean and stable renewable energy sources, and are increasingly widely applied in the fields of heating, power generation and the like, and tail water recharging is a key link for realizing sustainable development of geothermal resources, so that the underground heat storage pressure can be effectively maintained, and geological environment damage is avoided. However, the recharging well is very easy to have a blockage problem in long-term operation, and becomes a core technical bottleneck for restricting the efficient and stable operation of the geothermal system. The recharging well blockage is mainly caused by the combined action of multiple factors, suspended particles in tail water are deposited in the pores of a well surrounding stratum to form physical blockage, mineral substances in water quality reach supersaturation state to be separated out due to temperature and pressure changes to form chemical precipitation blockage, dissolved gas in underground water is separated out and aggregated along with environmental changes to occupy a seepage channel, and meanwhile, microorganisms are promoted to breed and reproduce by a proper warm-pressure environment, and metabolic products and impurities of the biological blockage are combined to form biological blockage. These blockage problems can lead to continuous decline of recharging capability, and when severe, the recharging well is scrapped, so that geothermal development cost is greatly increased. The existing geothermal tail water recharging system generally judges the blockage risk by monitoring recharging parameters such as injection flow, pressure, temperature, turbidity and the like in real time and combining a preset experience threshold. However, the blockage forming mechanism has obvious complexity and coupling, is dynamically influenced by multi-dimensional factors such as formation lithology, pore structure, tail water chemical components, operation conditions and the like, and is difficult to describe a complex blockage evolution process by an empirical threshold method. The method can not accurately predict the specific time and severity of the occurrence of the blockage, but also lacks the deep modeling capability of historical operation data, is difficult to quantify the accumulated effect of each factor on the blockage trend in long-term operation, causes obvious hysteresis and low accuracy in blockage risk prediction, can not provide effective support for preventive maintenance, and seriously affects the safe and stable operation of the geothermal tail water recharging system. Disclosure of Invention The invention aims to solve the technical problems that in the prior art, the blockage risk is delayed and the accuracy is low because the blockage risk judgment cannot predict when blockage occurs and the blockage degree is low, and provides a real-time blockage risk prediction method and a related device of a geothermal tail water recharging system. In order to achieve the above purpose, the invention is realized by adopting the following technical scheme: In a first aspect, the invention discloses a real-time blockage risk prediction method for a geothermal tail water recharging system, comprising the following steps: acquiring historical tail water recharging parameters of the geothermal tail water recharging system after the last cleaning time node, and generating a tail water recharging parameter time sequence; obtaining geological environment parameters, medium characteristic parameters and geothermal tail water recharging system design parameters, and constructing a geothermal tail water recharging system model to obtain a tail water recharging twin body; Presetting a blocking factor, inputting the tail water recharging parameter time sequence into a tail water recharging twin body, and generating blocking factor distribution state data; acquiring real-time tail water recharging parameters, and carrying out blockage risk analysis under blockage factor transfer based on the blockage factor distribution state data and the real-time tail water recharging parameters to generate blockage risk judgment information; and performing jam risk early warning based on the jam risk judging information. The further improvement is that: the construction of the geothermal tail water recharging system model to obtain the tail water recharging twin body specifically comprises the following steps: And constructing a geothermal tail water recharging system model by carrying out integrated simulation of fluid mechanics and mineral precipitation on the geothermal tail water recharging system