AU2020102747A4 - A decision-making method for in-situ remediation of petroleum-contaminated groundwater - Google Patents
A decision-making method for in-situ remediation of petroleum-contaminated groundwater Download PDFInfo
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Abstract
The invention disclose a decision-making method for in-situ remediation of petroleum
contaminated groundwater, which is based on in-situ extraction treatment technology.
According to geological drilling in groundwater polluted areas, acquiring accurate data of
geology, pollutants and water flow direction, drilling injection wells on upstream of pollution
sources, installing suction wells in the direction below pollution sources, and installing a certain
number of monitoring wells in polluted areas.Collecting groundwater pollution data of each
monitoring well; Organizing the relevant monitoring data of contaminated sites and pollution
sources; Thereby obtaining the proxy simulation model of the repair scheme.By using this
model, the decision-makers can finally produce the best groundwater remediation scheme
according to their own needs and expectations as constraints. This invention fills the gap of
domestic decision-making methods on groundwater remediation, the method of this invention
can quickly provide a reliable groundwater remediation operation scheme for decision makers,
and has he advantages of simple operation, high reliability, saving calculation cost and being
capable of predicting the situation after remediation.
1/4
Consumer Expert
User interface
Onthespot Ground Contamination Outcome of Remedy Plan Test module
Collection of site pollution Generation of proxy model by
Abstractng thetreatment p data Technology corresponding analysis of surface
Input of
Environmental
StandardScreening of repair technology Standollrd crnnorprenlgySituation design and
analysis
Fig. I
Description
1/4
Consumer Expert
User interface
Ground Contamination Outcome of Remedy Plan Test module Onthespot
Collection of site pollution Generation of proxy model by Abstractng thetreatment p data Technology corresponding analysis of surface
Input of Environmental StandardScreening Standollrd of repair technology crnnorprenlgySituation design and analysis
Fig. I
A decision-making method for in-situ remediation of petroleum contaminated groundwater
[01] The invention belongs to the technical field of polluted water treatment, and particularly relates to a decision-making method for in-situ remediation of petroleum polluted groundwater.
[02] With the development of economy and the rapid development of petroleum industry, due to landing oil, oily production sewage discharge and oil pipeline leakage in petrochemical production areas, gas stations and other places, a large number of petroleum pollutants enter the soil layer, resulting in groundwater pollution. The pollution of petroleum and its by-products to the environment is becoming more and more serious, which has endangered the survival and health of human beings, animals and plants. More and more attention has been paid to oil pollution control. Countries have introduced relevant control measures and policies, and many oil pollution control technologies and methods have emerged. Before 1980s, the treatment of petroleum hydrocarbon contaminated soil was limited to physical and chemical methods, namely heat treatment and chemical leaching method. Heat treatment can purify most organic pollutants in soil by burning or calcining, but it also destroys soil structure and components, which is expensive and difficult to implement, and the treatment effect is not ideal. Chemical leaching and water washing can also have better oil removal effect, but the secondary pollution of chemical reagents used limits its application. As early as 1970s, in order to solve the problem of oil leakage and soil pollution when oil pipelines and oil storage tanks failed, Esso Research and Engineering Company of the United States began to look for clean biological solutions, and its laboratory research found an effective "bacterial seeding method".
[03] Generally speaking, the international remediation technologies for petroleum pollutants mainly include in-situ remediation and ex-situ remediation technologies. Generally speaking, various restoration technologies have their own advantages and disadvantages, and are suitable for use in different places, different areas and different natural conditions. However, at present, the most widely used technology at home and abroad is in-situ treatment technology (PAT), that is, the polluted groundwater is pumped out, and then the pollutants are removed from the surface. The treated groundwater can be discharged into the surface water body, such as being deeply treated and then re-injected into the ground.
[04] When pollution is treated by PAT method, the concentration of pollutants drops rapidly in the initial stage, which indicates that the polluted water in the macropores of aquifer is discharged. Then, the rate of concentration decline decreases, indicating that pollutants in small pores also begin to be discharged. At last, the pollutant concentration is basically stable at a constant value, which means that the speed of discharging pollutants by PAT method is equal to that of entering groundwater through analysis and NAPLs decomposition. The example of using PAT method to control groundwater pollution in the United States shows that for spots with higher initial concentration of pollutant, the concentration of groundwater can be reduced by % - 99% before the initial concentration of groundwater reaches a stable level, while the concentration of groundwater in low concentration sites is often less than 90%. Moreover, PAT has high practicability, is suitable for different concentrations of petroleum pollutants and different geological conditions, and has high resistance to sudden accidents, so corresponding measures can be taken according to sudden accidents. Therefore, it is widely used at home and abroad and is the most commonly used remediation technology for groundwater remediation.
[05] At present, there is no relevant report on the design and decision-making method of in-situ remediation of oil-contaminated groundwater in China, and this patent is the first in China, which can provide an effective tool for solving the increasingly serious problem of groundwater remediation in China. At present, the groundwater remediation tools mainly developed in foreign countries mainly focus on selecting remediation technologies based on site pollution information, and then predicting the pinnate figure of pollutants after remediation. In China, there are almost no specific and optimal operation schemes based on one or more remediation technologies, according to national environmental standards and required locally accepted remediation years.
[06] The purpose of the invention is to provide a decision-making method for in-situ remediation of petroleum-contaminated groundwater by combining various advanced technologies such as in-situ remediation extraction treatment technology, numerical simulation, regression method, nonlinear optimization, computer simulation, etc., which is characterized in that the method combines extraction treatment in-situ remediation technology, numerical simulation, regression method and nonlinear optimization technology; Firstly, collecting the hydrological parameters, geological parameters and related parameters of pollutants, and the simulation results are obtained for a limited number of times Match the monitoring data with the simulation results to form a series of simulated repair data, and using regression algorithm to obtain the agent model for repairing contaminated sites; Finally, according to the local groundwater quality standard, the reliability of the repaired water quality is determined, and the optimal restoration scheme is calculated by combining the generated proxy model; And predict and calculate the repair effect under the operation of the repair scheme.
[07] The related parameters of collecting hydrological parameters, geological parameters and pollutants of the contaminated site include: data collection time, length, width and height of the site in the simulated area of the contaminated site, determining the positions of pumping wells, monitoring wells and injection wells in the simulated area, groundwater flow direction of the site, soil temperature, pH value and soil classification; Some hydrological parameters include dynamic viscosity of water, density of water, surface tension between pollutants and water, residual rate of oil, gas and water in saturated area and hydraulic slope. The permeability, porosity, longitudinal and transverse dispersivity of various types of soils in X, Y and Z directions are also input, and the relevant parameters of pollutants, i.e., the distribution coefficient of pollutants in water phase and pollution phase, the concentration of pollutants and the solubility in water, need to be input.
[08] The limited-times simulation is to randomly generate 40-50 groups of remediation schemes, and simulate the remediation results of the randomly generated remediation schemes by groundwater simulation software GMS in the 40-50 groups of remediation schemes, and randomly generate remediation schemes x = {xi x, ... xn}, where the operating parameter unit of x is m3/d; The remediation effect corresponding to the remediation plan is y = {yi, y2, ... yn}, where y is the pollutant concentration value of the monitoring well corresponding to x after the remediation plan runs.
[09] The regression method used is the response analysis regression method of multiple square surfaces, which is used to regress the randomly generated repair schemes and results, and finally obtains the proxy model of the following formula:
[010]
I+J I+JI+J 1+] Ck= , ai,kI +Z a,kqq(i j)+ i, ek i=1 i=1 j=1 i=1
[011] Wherein:
[012] Ck is the pollutant concentration of testing well
[013] ao,is the constant term coefficient of the proxy model
[014] a is the coefficient of each item in the proxy model;
[015] qi is the pumping volume of sewage pumping well in pumping treatment technology;
[016] q- is injection amount of purified water after extraction treatment
technology;
[017] ek is prediction error of agent model.
[018] The inspection method of the proxy model is JB test or T test, which mainly tests whether the absolute error between the simulated value and the measured value of the proxy model conforms to the normal distribution or directly compares the simulated value with the actual measured value.
[019] According to the local groundwater quality standard, the reliability of groundwater quality standard expressed by probability is taken as the constraint condition The goals are as follows,
[020]
I J TR= q+ q i=1 j=1
[021] Constraint condition is:
q, = 1q i-1 j-1
[022] Pr (c - MCL}
[023] Wherein:
[024] MCL is the environmental quality standard of pollutants;
[025] Pr is the probability that the concentration of pollutants in the remediation monitoring well is less than the environmental limit;
[026] a is the confidence degree setting for pollutants to meet the standard required after environmental restoration ;
[027] Completing the construction of the above formula, and using the nonlinear optimization technology Lingo or MTALAB tool to calculate the optimal repair scheme.
[028] The operation scheme is expressed in the form of giving the quantity of each pumping and injection well of each pumping treatment method, and under this operation scheme, the repair effect is calculated.
[029] The method has the advantages that: 1. a reliable groundwater remediation operation scheme can be quickly provided for decision makers, and the operation is simple, the operation is efficient and the reliability is high. 2. According to the output scheme, the repaired underground water can achieve the expected effect, the decision making method is simple, the degree of visualization is high, and the operation is accompanied by relevant instructions, which is suitable for non-professionals. 3. The decision-maker can take the actual situation (groundwater quality standard, reliability of water quality after restoration, etc.) as the constraint condition, so as to obtain the optimal operation scheme under the constraint condition. 4. Decision-making method can greatly save computer time. Decision-makers can not only get a clear operation plan, but also get the plume diagram of various pollutants after repair according to this operation plan, and the operation plan based on actual situation is the least cost. 5. The output scheme can not only ensure that the repaired groundwater quality meets the environmental standards, but also provide the decision-makers with the credibility of meeting the environmental standards.
[030] Fig. 1 is a flow chart of groundwater remediation operation scheme;
[031] Fig. 2 is an interface diagram of the agent simulator generated by the tool after Lilliefors test;
[032] Fig. 3 is an interface diagram of Jarque-Bera test for the proxy simulator generated by tools;
[033] Fig. 4 is an interface diagram showing the comparison between simulation results and measured results;
[034] Fig. 5 is an interface diagram of a repair operation scheme that a user can base on a certain constraint condition;
[035] Fig. 6 is an interface diagram based on the repaired pollutant pinnate figure under certain constraint conditions.
[036] The invention provides a decision-making method for in-situ remediation of petroleum-contaminated groundwater. The invention will be further explained with reference to the drawings and specific embodiments.
[037] Fig. 1 is the flow chart of groundwater remediation operation scheme, and figs. 2-6 are partial screenshots of decision tools developed based on this remediation decision method. Decision makers will first collect relevant data of oil contaminated sites (soil characteristics, temperature, pH, size of simulation area, location of monitoring wells, suction wells and injection wells) and hydrological data (dynamic viscosity of water, density of water, surface tension between pollutants and water, residual rate of oil, gas and water in saturated area, hydraulic gradient, soil type and permeability, porosity and porosity of soil in X, Y and Z directions) As shown in Figure 2-4, the decision-maker verifies and corrects the agent simulator generated by the decision-making method (mainly using whether the absolute error between the agent model and the numerical simulation results conforms to the normal distribution, and visually compares the simulation results of the agent simulator with the measured values). If the test fails, the decision-maker can regenerate a new agent type. As shown in Figure 5-6, the user generates different constraints according to the actual situation, and finally the decision-maker can obtain the repair operation scheme and the repaired pollutant plume diagram based on different situations.
[038] A decision-making method for in-situ remediation of petroleum contaminated groundwater is carried out according to the following steps:
[039] First, the decision-making method collects the basic information of contaminated sites (size, geological characteristics, groundwater hydrological characteristics and pollutant-related characteristics). After collecting these data, the decision-making method tool will run. The decision-maker will enter the main interface of the tool, click the drop-down menu (input menu) at the top of the interface, and then click data collection. There is a list box of input data types in this interface. Click one of them to open the corresponding input data interface. Click the options in the list box once, and the decision-maker will input the data of contaminated sites in these interfaces in turn, which mainly include groundwater flow direction, soil temperature, pH, soil type, dynamic viscosity of water, water density, surface tension between pollutants and water, residual rate of oil, gas and water in saturated area, hydraulic gradient, etc. The permeability, porosity and longitudinal and lateral dispersion of various types of soil in X, Y and Z directions are also input. In addition, some parameters related to pollutants (distribution coefficient of pollutants in water phase and pollution phase, concentration of pollutants, solubility in water, etc.) need to be input, and 40- 50 groups of operation schemes are randomly generated after the relevant data of the site are input, and the repair effect is simulated under this scheme to form a mapping of X to Y, then click to generate an agent model, and the computer will use this repair decision-making method to generate an agent model by regression method.Click the drop-down menu (simulation) at the top of the interface to display different options (add site inspection database, generate proxy model, model test and simulation result). Click these options in turn. When you click on model test, it will appear as shown in Figures 2 and 3. When you click Select Test Method in the interface, test methods (Lillfores test, JB test and T test) will appear in the option list box. After selecting the test method, click the Select abscissa button. Decision makers can also choose the form of test results (charts, tables) based on their own preferences. If the test is not satisfactory, click to generate the model and test it. If it is qualified, proceed to the next step, but the simulation results will appear in the simulation results interface as shown in Figure 4, which provides users with the accuracy of simulating groundwater pollutants by the model more intuitively.At this step, the decision-maker can select the pollutant type and abscissa according to the description in the upper left corner. After completing this step, the decision-maker clicks the constraint design at the top of the interface, and the decision maker can generate different constraints according to the actual situation (choose different environmental standards, different repair years, and different credibility of groundwater quality after repair), thus generating a series of constraints, which will enter the constraint list box according to the order of generation. Click one of them, and a description of the constraints will appear, thus constructing an optimization model for calculating the operation scheme. The last step is to click the output result at the top of the interface, and the computer will automatically calculate the model generated in the previous step and output the result. The interface shown in Figure 5-6 will appear, where the decision-maker can select the repair operation scheme under different constraint conditions according to the instructions, and the output result is mainly in the cross-section form as shown in Figure 5. After selecting the constraint condition, the user can click the Select Pollutant button to select pollutants. Click on the rendering pinnate figure again, and the feather map of a pollutant after repair and the feather map without repair will appear as shown in Figure 6. The number 1200 in the above figures indicates the pollution concentration in t g/L.
[040] Finally, the decision-maker can run the repair plan according to the plan shown in Figure 5, and the decision-maker can also print the results by clicking the Print button, thus providing a specific repair plan for the user.
[041] This decision-making method can quickly provide a reliable groundwater remediation operation scheme for decision makers, with simple operation and high reliability. And the repaired groundwater quality can achieve the expected effect, and the tool method is simple. Different constraints can be generated according to actual conditions (different national standards, reliability of water quality after remediation, remediation years, etc.), and corresponding groundwater remediation operation schemes can be generated under different constraints. The cost is saved, and the conventional simulation calculation time is greatly saved. The decision-maker can not only obtain a clear operation scheme, but also obtain the plume diagram of various pollutants after repair according to this operation scheme, and the operation scheme obtained based on the actual situation has the least cost. The operation scheme is reliable, the repaired groundwater quality can meet the corresponding environmental standards, and the decision-making method can also give the credibility of meeting the environmental standards.
[042] Although the invention has been described with reference to specific examples, it will be appreciated by those skilled in the art that the invention may be embodied in many other forms, in keeping with the broad principles and the spirit of the invention described herein.
[043] The present invention and the described embodiments specifically include the best method known to the applicant of performing the invention. The present invention and the described preferred embodiments specifically include at least one feature that is industrially applicable
Claims (5)
1. A decision-making method for in-situ remediation of petroleum-contaminated groundwater, which combines pumping treatment in-situ remediation technology, numerical simulation, regression method and nonlinear optimization technology; The method is characterized by comprising the following steps: firstly, collecting hydrological parameters, geological parameters and relevant parameters of pollutants of the contaminated site, including data collection time, length, width and height of the site in the simulated area of the contaminated site, determining the positions of pumping wells, monitoring wells and injection wells in the simulated area, the groundwater flow direction of the site, soil temperature, pH value and soil classification; Hydrological parameters include dynamic viscosity of water, density of water, surface tension between pollutants and water, residual rate of oil, gas and water in saturated area and hydraulic slope. Inputting permeability, porosity, longitudinal and transverse dispersivity of various types of soils in X, Y and Z directions, and the relevant parameters of pollutants, i.e., the distribution coefficient of pollutants in water phase and pollution phase, the concentration of pollutants and the solubility in water, are also input, and the simulation results are obtained for a limited number of times. Matching the monitoring data with the simulation results to form a series of simulated repair data, and use regression method to obtain the agent model for repairing contaminated sites; Finally, according to the local groundwater quality standard, the confidence degree of the repaired water quality is determined, and the optimal restoration scheme is calculated by combining the generated proxy model; And predicting and calculating the repair effect under the operation of the repair scheme.
2. The decision-making method for in-situ remediation of petroleum contaminated groundwater according to claim 1 is characterized in that the finite number of simulations is to randomly generate 40-50 groups of remediation schemes, simulating the remediation results of the randomly generated remediation schemes in the 40-50 groups of remediation schemes by groundwater simulation software GMS, and collect data to establish a database. Randomly generate repair scheme
X - 1 XN , wherein X represents the operating parameter of pumping
injection well in pumping treatment system, and its operating parameter unit is m 3 /D. The repair effect corresponding to the repair scheme is corresponding to
Y 1(Yt1 Y21 Y ,Y is the pollutant concentration value of the monitoring well
corresponding to X after running the remediation plan.
3. A decision-making method for in-situ remediation of petroleum-contaminated groundwater according to claim 1, is characterized in that the adopted regression method is a quadratic surface response analysis regression method, which is used to regress randomly generated remediation schemes and results, and finally obtains the proxy model of the following formula:
I+J I+JI+J I+J ck =aO +Z aq + 1 ajqiq (i j)+ af, +ek i=1 i=1 j=1 i=1
Wherein:
ek the concentration of pollutant of testing well
ao,k is constant term coefficient of agency model;
ai,k is the coefficient of each item in the proxy model;
qi is the pumping volume of sewage pumping well in pumping treatment
technology
qj is injection amount of purified water after extraction treatment technology
ek is prediction error of agent model.
4. A decision-making method for in-situ remediation of petroleum-contaminated groundwater according to claim 3, characterized in that the inspection method of the proxy model is JB test or T test, which mainly checks whether the absolute error between the simulated value and the measured value of the proxy model accords with normal distribution or directly compares the simulated value with the measured value.
5. A decision-making method for in-situ remediation of petroleum-contaminated groundwater according to claim 1, which is characterized in that according to local groundwater quality standards, and using probability to express the confidence of groundwater quality up to standard as a constraint condition, the goal is constructed as follows,
TR= -q+ q i=1 j=1
Constraint condition is:
I J Eqj=jq Pr(c, MCL} it i-1 j-1
Wherein,
MCL is the environmental quality standard of pollutants;
Pr is the probability that the concentration of pollutants in the remediation monitoring well is less than the environmental limit;
n is the confidence degree that the pollutants meet the standard after environmental ; restoration; Complete the construction of the above formula, and use
the nonlinear optimization technology Lingo to get the best repair scheme.
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