CN106124397B - A kind of test method of oilfield sewage corrosion and scaling characteristic - Google Patents
A kind of test method of oilfield sewage corrosion and scaling characteristic Download PDFInfo
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Abstract
The invention discloses a kind of test methods of oilfield sewage corrosion and scaling characteristic, include the following steps：(1) the test line material electrochemical impedance collection of illustrative plates under oilfield sewage at the scene；(2) design simulation pipeline is simulated in difference into the fluidised form information in the pipeline model under nozzle flow velocity with CFD software, and determines the riding position of experiment test piece；(3) experiment test piece is placed on dynamic pipeline, carries out water cycle and start dynamic simulation experiment, and measures under different experiment durations the dirty layer thickness of the testing piece at different riding positions；(4) Data Integration analytical procedure：The relationship between dirty layer thickness and each variable is obtained, to obtain the corrosion and scaling characteristic of the oilfield sewage.The present invention can effectively test oilfield sewage corrosivity and fouling tendency, can be directed to each specific water flood field its different water quality and line conditions, can react the different situation in each scene well.
Description
Technical field
The invention belongs to water flooding applied technical fields, more particularly, to a kind of oilfield sewage corrosion and scaling
The test method of characteristic, the test method are particularly suitable in laboratory quick, targetedly prediction Oil Field water filling
System corrosion and fouling condition, and control measure can be proposed according to this, specific live oilfield sewage can be directed to (such as water flood field institute
With water filling), it is a kind of method for rapidly testing.
Background technology
Decline as the exploitation in oil field enters middle and later periods oil pressure, it is most of land oil fields that displacement in flooding, which improves recovery ratio,
One of main means.During oil-field flooding, the contact of secondary water and formation rock in oil field, it may occur that various physics become
Change and chemical change, greatly cause the damage on stratum.Meanwhile in the injecting process, the fluid in waterflood-transmission line is due to ground
The variation of layer temperature and pressure, causes serious pipeline corrosion even to perforate in some cases, and also certain ingredients are easy to be precipitated,
Dirty layer is formed in waterflood-transmission line, blocks waterflood-transmission line, and very detrimental effect is generated to oilfield exploitation operation.
There are numerous oil-field floodings different degrees of corrosion and scale formation occur in the process both at home and abroad, due to each
The difference of ground water quality and formation properties, it is difficult to have unified and therefore that effective solution method develops a set of targeted, energy soon
Speed is predicted and the method for proposing effective solution is extremely of practical significance.
Invention content
For the disadvantages described above or Improvement requirement of the prior art, the purpose of the present invention is to provide a kind of corrosion of oilfield sewage
The test method of fouling characteristic, wherein by set-up mode to crucial each testing procedure and specific parameter setting etc. into
Row improves, and can effectively solve the problem that oilfield sewage corrosivity and the evaluation test problem of fouling tendency compared with prior art, and
The test method its different water quality and line conditions can be adjusted flexibly according to each specific water flood field, can react every well
The different situation in a scene so that pass through the reality of test result and practical Oil Field that this method is obtained in experiment indoor test
Border situation matching degree is high.
To achieve the above object, it is proposed, according to the invention, a kind of test method of oilfield sewage corrosion and scaling characteristic is provided,
It is characterized in that, includes the following steps：
(1) Static Electro chemical analysis step：
At different temperatures, it is tested respectively by AC impedence method using 3 electrode systems using live oilfield sewage as solution
Electrochemical impedance collection of illustrative plates of the piping material under the live oilfield sewage, and according to the electrochemistry obtained under different temperatures
Impedance spectrum obtains the phase angle critical transition temperature of the piping material；
The piping material is that live oil field conveys material used by the pipeline of oilfield sewage；
(2) CFD software simulation steps：
It is reference, design simulation pipeline with the pipeline that the live oil field conveys oilfield sewage；Then, with modeling grid
It divides software and pipeline model is obtained to simulation pipeline progress computer modeling；Then, with CFD software simulate difference into
Fluidised form information under nozzle flow velocity in the pipeline model obtains turbulence intensity and wall surface shear stress with away from into nozzle distance
Distribution situation；And according to the turbulence intensity and the wall surface shear stress with away from the distribution situation determination into nozzle distance
The riding position of experiment test piece；
Then, according to described in difference into the turbulence intensity under nozzle flow velocity and the wall surface shear stress with away from into
The distribution situation of nozzle distance show that wall surface shear stress is closed with into nozzle flow velocity and away from the function into nozzle apart from three
System, Turbulent Kinetic and the functional relation into nozzle flow velocity and distance into nozzle apart from three；
(3) dynamic pipeline simulation steps：
According to the riding position of the simulation pipeline and the experiment test piece in the step (2), setting dynamic
Pipeline, the dynamic pipeline is for placing experiment test piece；Then, the experiment test piece is placed on the dynamic pipeline,
Start dynamic simulation experiment in different temperatures and different recycled into progress water under nozzle flow velocity, and in different experiment durations
The lower dirty layer thickness for measuring the testing piece at different riding positions, the difference riding positions correspond to it is different it is described away from into
Nozzle distance；
Material identical used by pipeline of the experiment test piece with the live oil field conveying oilfield sewage；The water
Cycle is using the live oilfield sewage；The dynamic pipeline is closed with the simulation pipeline in the step (2) for equal proportion
System；
(4) Data Integration analytical procedure：
According to the wall surface shear stress that is obtained in the step (2) with into nozzle flow velocity and away from into nozzle apart from three
Functional relation, Turbulent Kinetic and functional relation into nozzle flow velocity and distance into nozzle apart from three, the step (3)
In obtain in different temperatures, different into the dirty thickness at the different riding positions under nozzle flow velocity and different experiments duration
Degree, obtains the relationship between dirty layer thickness and variable, to obtain the corrosion and scaling characteristic of the oilfield sewage；The variable is rapids
The energy of flow, wall surface shear stress, temperature, into nozzle flow velocity, experiment duration and away from into nozzle distance at least one of.
As present invention further optimization, in the step (3), after measurement obtains the dirty layer thickness, further include：
The experiment test piece is dried, final amount of scale buildup is obtained after check weighing；Then again by the experiment test piece pickling
It is dry, obtain final extent of corrosion after check weighing.
As present invention further optimization, the water in the step (3) is recycled to be the institute added with additive
State what live oilfield sewage carried out；The additive is at least one of corrosion inhibiter, antisludging agent and fungicide.
As present invention further optimization, pass through the electrification of AC impedence method test line material in the step (1)
The testing time for learning impedance spectrum is at least 7 days；3 electrode system is using the piping material as working electrode, with sweet
Mercury electrode is as reference electrode, using platinum electrode as to electrode.
As present invention further optimization, the temperature that the dynamic simulation experiment is carried out in the step (3) includes institute
State the phase angle critical transition temperature obtained in step (1)；Preferably, the dynamic analog is carried out in the step (3)
The temperature of experiment is corresponded with temperature used by the static electrochemical analysis of progress in the step (1), in the step (3)
Carry out the middle used into nozzle with CFD software simulation into nozzle flow velocity and the step (2) of the dynamic simulation experiment
Flow velocity corresponds；
Preferably, it is 40 DEG C~60 DEG C that temperature used by static electrochemical analysis is carried out in the step (1), the step
Suddenly it is 0.41m/s~1.54m/s to use CFD software simulation used in (2) into nozzle flow velocity；It is carried out in the step (3)
The temperature of the dynamic simulation experiment is 40 DEG C~60 DEG C, carry out in the step (3) dynamic simulation experiment into nozzle
Flow velocity is 0.41m/s~1.54m/s.
As present invention further optimization, the modeling mesh generation software in the step (2) is that Gambit is soft
Part；The CFD software is Fluent softwares.
As present invention further optimization, the middle dirty layer thickness for measuring the testing piece of the step (3) is will be described
Testing piece obtains the dirty layer average thickness of the testing piece in the observation of super depth-of-field microscope.
As present invention further optimization, the riding position pair of the experiment test piece obtained in the step (2)
Answer the extreme value place of the turbulence intensity and at least one of the extreme value place of the wall surface shear stress.
Contemplated above technical scheme through the invention is surveyed due to combining static electrochemistry compared with prior art
Examination, CFD software simulation, dynamic pipeline simulation, Data Integration analyze this four relatively independent and testing procedures that are mutually related
As the test method of oilfield sewage corrosion and scaling characteristic, oilfield sewage can be corroded and quickly be integrated with fouling characteristic
Evaluation is measured, conclusion and actual conditions matching degree height are measured, there is big directive function to actual oil-field flooding production.
Dynamic pipeline simulation steps in the present invention are according to the scaled making dynamic analog pipe of live waterflood-transmission line
Line model determines simulated experiment optimum experimental condition according to Static Electro chemical analysis results, is being flowed according to CFD software analog result
Testing piece is installed in the larger each region of state information change, surpasses depth-of-field microscope observation test steel disc surface topography using 3D, uses
3D statistical analysis methods measure dirty layer thickness.The step can control experimental temperature, the flow velocity used, can carry out online dirty layer
(dirty layer thickness measurement can surpass depth-of-field microscope observation by 3D, recycle statistical analysis method to calculate, dirty sample is averaged for thickness measure
Thickness=volume/sampling area).Using the dynamic pipeline simulation steps, can obtain at pipeline different location (that is, on pipeline away from
At different positions into a distance from nozzle) electrode surface dirt layer thickness profile.
Static Electro chemical analysis step is to use 3 electrode systems, electrochemical impedance, the polarization curve of test line material
Deng, the analysis corrosion of piping material and scaling tendency in Oil Field sewage in a static condition；According to electrochemical impedance spectroscopy
BODE schemes, and phase horn occur in high frequency region (section of the frequency higher than 100Hz is high frequency region) corresponds to material surface dirt tunic
Thick and film compactness information, in low frequency range, (section of the frequency less than 100Hz is low frequency range, that is, using 100Hz as separation area
Divide high frequency region and low frequency range) there is phase horn corresponding to material surface underfilm corrosion relevant information.
CFD software simulation steps are the calibers and flow speed characteristic used according to practical Oil Field, calculate tube wall shear
Stress；Be first pass through GAMBIT softwares modeling and grid division and detection after, reuse Fluent softwares carry out fluid dynamic
Learn simulation, the GAMBIT modelings of experimental simulation pipeline；The maximum turbulent flow for counting pipeline different location section can be with different location wall surface
The maximum shear stress.
The test method of oilfield sewage corrosion and scaling characteristic in the present invention, can quickly test, prediction, evaluating oilfield note
Aqueous corrosion and fouling tendency；On the other hand, by adding additive (such as corrosion inhibiter, antisludging agent) into oilfield sewage to water quality
It is adjusted, and tests again, it can be to various additives (including various different types of additives and different ratio
Additive) additive effect (that is, corrosivity and fouling tendency etc. of the sewage added with additive) evaluated, have good
Specific aim and actual application value.
The test method of oilfield sewage corrosion and scaling characteristic in the present invention passes through static electrochemical analysis, CFD software mould
Quasi-, dynamic pipeline simulation, Data Integration analysis four are most of, Oil Field can be quickly and effectively restored in laboratory, with oil
Field scene different actual state (such as temperature, pressure, piping material type, surface roughness, pipeline internal turbulence intensity, wall
Face shear stress etc.) based on, the corrosion of the analysis waterflood-transmission line of system and scaling tendency can establish efficient function model pair
Injection aqueous corrosion and scaling rule are predicted, and are commented the solution of proposition (adding additive such as into water filling)
Valence, conclusion and the production scene actual conditions of test evaluation meet preferably.
The test method of oilfield sewage corrosion and scaling characteristic in the present invention can be quickly special to oilfield sewage corrosion and scaling
Property make an appraisal, have simple, accuracy is high, it is with strong points the advantages that, be a kind of experiment Indoo r prediction Oil Field water filling system
System corrosion and fouling condition, and control measure can be evaluated in advance, specifically has the following advantages：
(1) CFD software of the invention simulation, the methods of dynamic pipeline simulation targetedly, can evaluate different oil fields
Different situations can preferably solve the practical problem in different oil fields；Wherein 3D statistical analysis methods can obtain dirty layer thickness well
Information, it is accurate quick.
(2) influence of the data fitting proposed by the present invention by each factor to pipeline scaling and corrosion is associated with, energy
Prevention for scene, which provides relevant information, accurately to be predicted to the corrosion and fouling condition at scene.
(3) dynamic pipeline of the invention simulation can also verify the solution of proposition, can look in the lab
To best solution and relevant technical indicator, points for attention provide guidance for scene actual production, save manpower object
Power.
The test method of oilfield sewage corrosion and scaling characteristic of the present invention, can fast prediction oil-field flooding fouling and corrosive
Property, and corresponding solution (additive, change piping material are added such as into oil-field flooding) is evaluated, to each
The different water quality of water flood field and line conditions are all targeted, can react the different situation in each scene well, further
, best additive can be obtained and use combination.Test evaluation method in the present invention is using Oil Field water as medium, Neng Goushi
Condition reacts oil field field condition；Static Electro chemical analysis step can be looked for by analysis means such as AC impedance, activation polarizations
Go out corrosion and scaling tendency of the pipeline material therefor at the scene in water；CFD software simulation steps are existing by CFD software simulated production
The case where field, simulate the relevant informations such as the fluidised form, turbulence intensity, boundary shear stress of pipeline；Dynamic pipeline simulation steps then root
Simulation pipeline is established according to live actual ratio, the optimum experiment condition obtained based on static electrochemical analysis part is carried out in fact
It tests, and effectiveness of the solution of proposition under practical situations can be examined simultaneously；Data Integration analytical procedure is then to integrate
The data of first three step establish relevant simple function model, are carried out to the degree of production scene pipeline scaling and corrosion big
Prediction is caused, the change between corrosion and the correlative factors such as scaling degree and temperature, flow velocity, turbulence intensity, wall surface shear stress is discussed
Change relationship, while evaluating the fine or not and live feasibility of proposed solution.
Description of the drawings
Figure 1A, 1B, 1C be respectively under N80 steel different temperatures impedance data fitting after curve graph；
Fig. 2A is dynamic pipeline analogue experiment installation structural schematic diagram of the present invention, and Fig. 2 B are the dynamic pipe for placing test steel disc
The enlarged diagram of line (glass material may be used in the dynamic pipeline).Its outer diameter of dynamic pipeline in Fig. 2A is 3cm, and internal diameter is
2.8cm, the dynamic pipeline are composed of that (cone is connected for the ease of pipeline hollow cylinder with cone from top to bottom
And be arranged, can not also use), the rounded bottom surface of cylinder is overlapped with the round top surface of cone, wherein the height of cylinder is
The height of 67cm, cone are 3cm, are respectively arranged on the cylindrical sides away from cylinder circle top surface 7cm, 12cm, 37cm
The utensil receiving opening opposite, outwardly protrude, protrusion width is 2cm, these utensil receiving openings are 6 total, for accommodating test steel disc (this
The available piston seal of 6 utensil receiving openings, steel disc to be tested can be attached on piston).The dress of the dynamic pipeline simulated experiment
It sets including water-bath (precise temperature measurement probe, high accuracy temperature control device temperature control) and corresponding connecting line；Wherein, water bath with thermostatic control
Pot is popped one's head in equipped with precise temperature control, which is also connected with high accuracy temperature control device.
Fig. 3 is 3D statistical analysis methods test philosophy of the present invention；
Fig. 4 is software pipeline modeling example of the present invention；
Fig. 5 A, 5B, 5C are CFD software simulation result of calculation example of the present invention respectively；Fig. 5 B distinguish from left to right
It is respectively 3.14e-02,1.29e-02,9.50e-03 from left to right for 1.38e-03,7.76e-05,1.05e-05, Fig. 5 C.
Fig. 6 is dynamic simulation experiment test steel disc example of the present invention；Fig. 6 (a) (b) (c) (d) is N80 carbon steels,
Riding position (the i.e. top-down testing steel disc placement position shown in corresponding diagram 2A of different testing pieces is corresponded to from left to right
It sets).
Fig. 7 A, 7B are Data Integration function modelling examples of the present invention；
Fig. 8 is the curve changed over time into nozzle flow velocity 0.41m/s different location dirt layer thickness；Position 1, position in figure
It sets 2, position 3 and is corresponding in turn to test steel disc riding position shown in Fig. 2A from up to down；
Fig. 9 is the curve changed over time into nozzle flow velocity 1.06m/s different location dirt layer thickness；Position 1, position in figure
It sets 2, position 3 and is corresponding in turn to test steel disc riding position shown in Fig. 2A from up to down；
Figure 10 is the curve changed over time into nozzle flow velocity 1.54m/s different location dirt layer thickness；Position 1 in figure,
Position 2, position 3 are corresponding in turn to the test steel disc riding position shown in Fig. 2A from up to down；
Figure 11 A, 11B are the fouling production for being not added with the fouling products figure of scale inhibition fungicide and adding scale inhibition fungicide respectively
Object figure, that is, certain front and back Oil Field pipeline encrustation product comparison diagram of scale inhibition fungicide addition.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.As long as in addition, technical characteristic involved in the various embodiments of the present invention described below
It does not constitute a conflict with each other and can be combined with each other.
Implementation steps 1：Electrochemistry static analysis
The electrode for preparing polished live pipeline material therefor is used as test working electrode, and calomel electrode is used as reference
Electrode, platinum electrode is to form 3 electrode systems to electrode, after open circuit potential in 3 electrode systems at the scene aqueous solution is stablized,
EIS tests are carried out under the positive and negative 20mV of open circuit potential, the frequency separation of test is 105Hz to 10-3Hz is measured later in open circuit potential
Lower polarimetry curve fits equivalent electricity using electrochemical impedance fit analysis software in Koster electrochemical workstation ZView
Road and corresponding electrochemical parameter；It measures respectively under the conditions of 40 DEG C, 50 DEG C, 60 DEG C, the carbon steel electrode impedance in water at the scene
Collection of illustrative plates and polarization curve；Impedance spectrum of the electrode in 60 DEG C of live water is surveyed within continuous 7 days, electrode surface knot is impregnated in analysis for a long time
(due in the impedance spectrum at 40 DEG C, 50 DEG C, 60 DEG C, at 60 DEG C, the corrosion and fouling of steel disc be more for dirt and the changing rule of corrosion
Add it is apparent, therefore can be only with impedance spectrum at 60 DEG C, the variation rule of electrode surface fouling and corrosion are impregnated in analysis for a long time
Rule).See Fig. 1 and table 1.As can be seen that high frequency region (section definition of the frequency more than 100Hz is high frequency region) phase angle exists from figure
Experimental temperature is more than after 50 DEG C, and phase angle breaks through -50 °, illustrates that critical transition temperature Tc is the 50 DEG C of (critical transition temperature i.e. phases
Parallactic angle abrupt temp, when temperature is higher than this temperature, scaling rate is more than corrosion rate, and macroscopic view embodies based on fouling；And work as
When temperature is less than this temperature, corrosion reaction rate is more than scaling rate, macroscopical then embody based on corrosion reaction).This is follow-up
The temperature spot that dynamic simulation experiment step is most paid close attention to.It can determine whether the trend of fouling and corrosion by impedance spectrum, and utilize polarization
Curve can obtain the corrosion rate size of pipeline material (such as carbon steel).
The AC impedance fitting data result of 1 N80 steel of table at different temperatures
Electrochemistry static analysis the result shows that, temperature be less than 60 DEG C under the conditions of pipeline scaling rate it is not high, it is less scaling,
Under the conditions of temperature is higher than 60 DEG C, pipeline scaling trend is gradually increased with temperature；Sample is rotten as the temperature increases for sample
Rate is lost to increase.
Implementation steps 2：CFD modeling Simulations
With reference to the actual size of the waterline at oil-field flooding scene, design simulation pipeline (length of the simulation pipeline with
The ratio of pipeline diameter is not less than 10, for example, the diameter of simulation pipeline can be less than the diameter of practical Oilfield Water Injection Pipelines, as long as
The ratio of the length and both diameters of simulating pipeline is more than 10；It is connected for the ease of pipeline, it can be the one of the simulation pipeline
Cone structure can be arranged in end, and sample spot is not provided with inside the cone and close to the line segments of the cone, so as not to it is whole
Pipeline analog is tested；The length of the simulation pipeline can be adjusted flexibly, as long as metastable fluidised form can be obtained, general mould
The length of quasi- pipeline and the ratio of pipeline diameter can be met the requirements not less than 10, and the longer certain length the more advantageous).With
Gambit softwares etc. model mesh generation software and carry out computer modeling to pipeline, then with Fluent (CFD) softwares in not cocurrent flow
Fast Imitating goes out fluidised form information in pipeline, such as turbulence intensity, the distribution situation of wall surface shear stress etc. (especially turbulence intensity and
The maximum value of shear stress and minimum value position, i.e. extreme value place) and primarily determine experiment test piece riding position (due to turbulent flow
The extreme value place general corrosion or fouling of intensity and shear stress are all relatively serious, and the data being achieved in that are more added with referential).
Fig. 4 is shown in software modeling demonstration.
In this step, it is simulated using CFD software, the fluidised form information distribution of live pipeline can be found out, determine lower step dynamic
(such as position of flow velocity, test piece installation, uses the specific test condition of pipeline analog test in the CFD software simulation steps
Flow velocity mainly according to the actual speed of Oil Field be reference, for example, can surround actual speed up and down take several points
Carry out CFD simulations；Flow velocity employed in lower step dynamic pipeline simulated experiment, can be with the flow velocity in the CFD simulation steps
It is consistent；It is exactly in dynamic pipeline simulation steps that experiment test piece riding position is primarily determined in CFD simulation steps generally
Test piece installation site if encountering the case where some can not install test piece, for example simulates two test piece riding positions and excessively connects
Closely, then one of position can be rethought according to analog result).
Implementation steps 3：Dynamic pipeline is simulated
(size of the dynamic analog pipeline can simulate the size of pipeline to the signal of dynamic analog pipeline with CFD as shown in Figure 2
It is consistent), experiment material object is correspondingly arranged according to the figure.
Different types of test steel disc can be placed on each piece of rubber plug, once clean mounted steel disc with acetone and ethyl alcohol
Surface is spare, before test starts, first by Oil Field water sample heated constant temperature to required temperature 1 hour, be inserted into test steel disc into
Row water recycles, and recycles initial period, tends to have more bubble attachment on steel disc surface, should suspend recirculated water at this time, keep steel disc exposed,
Bubble ruptures therewith, is then turned on recirculated water, and up to steel disc surface, there is no bubble attachments repeatedly.
During the test, since original gas overflowing in water and the effect of evaporating easily generate gas on test line top
At this moment body should clamp bottom water outlet with tongs in time, the gap reserved from top excludes bubble and receives top spilling
The frothy liquid of band, and refund in live water bottle.
After opening dynamic simulation experiment, for 24 hours the, 48h, 72h, 120h, 168h, pause water cycle when 216h takes out and surveys
Steel disc is tried, surpasses the surface topography of depth-of-field microscope observation test steel disc with 3D respectively, the average thickness of depth-of-field microscope is surpassed with 3D
Method measures the average thickness of dirty layer.Volume average thickness is the volume that dirty sample in certain area is obtained with 3D cameras, is then removed
With floor space, to obtain the average thickness of dirty sample, low amplification factor carries out the photograph of 3d well depths in test piece different parts and is adopted
Sample is averaged by the thickness value of multiple sampled points, so as to accurately reflect the fouling thickness letter of entire test piece
Breath.Statistical analysis technique, as shown in Figure 3.
Converting the factors such as testing piece material category and surface roughness, (surface roughness also can refer to the coarse of practical pipeline
Spend index), analyzing influence of the different factors to testing piece surface corrosion and scaling rule, (Fig. 6 show dynamic analog test piece table
Shape appearance figure after the fouling of face).
Weightening is surveyed after test, after testing piece drying and determines amount of scale buildup, and dendrometry determines that extent of corrosion, 3D shine again after pickling
Camera looks into fee acquires erosion profile.Testing piece can also carry out SEM, EDAX, XRD, and the analyses such as XPS determine corrosion product and dirty sample
Composition information.
The dynamic pipeline simulated experiment can be used for detecting alternatives and (such as add additive into oil-field flooding
Deng), determine its validity and Specifications and points for attention (specific ingredient and corresponding reagent as constituted additive
Proportioning etc.), for example, certain oil field is intended that slows down corrosive pipeline with certain corrosion inhibiter, can simulate at this and first be simulated in pipeline
Experiment.
The step is that pipeline is simulated in the scaled making of live pipeline, and best survey is determined according to electrochemical analysis result
Strip part determines test steel disc distributing position according to software analog result；Surpass depth-of-field microscope observation test steel disc table by 3D
Face is corroded and fouling pattern；The rule that the dirty layer thickness of acquisition changes over time is sent out using 3D statistical analyses；Pass through after experiment
Weightening calculates amount of scale buildup, and extent of corrosion is calculated by weightlessness after pickling.Under middle low flow velocity environment, the position closer apart from nozzle knot
Dirt is relatively thin, but with the increasing of flow velocity, thickness steeply rises, and in the middle part of the pipe and region at rear portion becoming in first increases and then decreases
Gesture.
By using different temperatures in dynamic pipeline simulation steps, it is different into nozzle flow velocity, can system analysis in oil
The fouling of a certain pipeline and corrosion tendency under the sewage effect of field；It is more used by the dynamic pipeline simulation steps by taking temperature as an example
A different temperature, can be at the scene temperature (that is, temperature of practical Oil Field) and critical transition temperature (that is, step 1 is electric
The critical transition temperature of chemical static analysis experiment gained) neighbouring multiple temperature spots, so as to network analysis Oil Field
Fouling near temperature and critical transition temperature and corrosion tendency, and further propose to reduce the ginseng of corrosion or fouling
Examine opinion.
Implementation steps 4：Data Integration is analyzed
It is modeled as key data source with CFD software simulation and dynamic pipeline, correlated variables is investigated, establishes temperature, pipeline
Material category, surface roughness, pipeline internal turbulence intensity, the correlated variables such as wall surface shear stress and piping material surface corrosion
The relationship of fouling, is expressed in a manner of functional relation, and formula or image is used in combination, indicates functional relation therebetween, to Oil Field
Pipeline corrosion and fouling condition be analyzed and predicted.See Fig. 5, Fig. 7-Figure 10.For example, dynamic pipeline under 0.41m/s flow velocitys
The maximum scaling rate that simulated experiment obtains is 1.0543 μm/h, flow velocity bigger under 1.54m/s flow velocitys, the shearing of high flow rate lower wall surface
Stress is very big, and dirty layer, which forms speed, has uncertain and contingency, and dirty layer thickness changes over time does not meet line well
Sexual intercourse.In CFD software simulation and dynamic pipeline simulation, pressure and piping material surface corrosion knot can be also further established
The relationship of dirt, and similar expressed in a manner of functional relation；In view of in oil-field flooding pipeline, the pipeline at different height is past
It is past that there is different hydraulic pressure, therefore the dynamic pipeline in the dynamic pipeline simulation of the present invention is arranged by vertical direction；Especially when dynamic
When state pipeline is longer, the sample point close to bottom will be larger because of water-column pressure, has with the sample pressure close to top
Difference causes pressure different；But by the length limitation of dynamic pipeline, the pressure in dynamic pipeline increases that there is no practical oil fields
Increased pressure is big in Buried pipe, therefore in the case where dynamic analog pipeline allows, can suitably increase the pressure of dynamic pipeline
Power, and obtain the relationship of pressure and piping material surface corrosion fouling.
Final function model such as following formula between the dirty layer thickness established under simulated conditions of the present invention and each variable, wherein rapid
Stream can k (m2/s2) and wall surface shear stress p (Pa) with into nozzle flow velocity v (m/s), the function of distance into nozzle distance d (cm) close
System can be simulated by CFD software and be obtained.
In formula, H is dirty layer thickness (μm), and k is that turbulent flow can (m2/s2), p is wall surface shear stress (Pa), and v is into nozzle stream
Fast (m/s), d are temperature (DEG C) apart from (cm), T into nozzle for distance.
By static electrochemical analysis, CFD software simulation, the data of dynamic pipeline simulation, which are found out, influences piping material corrosion
Or the factor of fouling, function model is established, is used in combination formula or image etc. to state functional relation, using gained functional relation, to oil
The corrosion and fouling at field scene are predicted.
Implementation steps 5：Shengli Oil Field scene
Certain oilfield polymer flooding output water passes through laboratory Fast Evaluation, the results showed that its microorganism induction fouling is serious；
Laboratory screening antisludging agent and antimicrobial combination addition after can obviously inhibit fouling (that is, will be added with different antisludging agents and/or
Thus the live water of fungicide filters out best as above-mentioned steps 1-4, the especially experimental water of dynamic pipeline simulation
Antisludging agent and antimicrobial combination).Oil Field uses laboratory screening formula, by live 3 months confirmatory experiments, scale problems
It is controlled, scale inhibition performance reaches 90%.Live fouling comparison diagram is shown in Figure 11 A and 11B.It can be seen from the figure that adds scale inhibition fungicide
Afterwards, pipeline inner wall microorganism induction fouling products are less.
Test method in through the invention may determine that corrosivity (i.e. corrosion tendency) and the fouling of certain oilfield sewage
Property (i.e. fouling tendency) it is strong and weak.Dynamic pipeline simulation steps in the present invention are with warm used by Static Electro chemical analysis step
Degree, flow velocity used by CFD software simulation steps are experiment condition, by analysis of experimental data, can be calculated with etection theory with
Uniformity between realistic simulation in main trend, so that the conclusion gone out is more added with referential.For example, passing through static electrochemistry
It analyzes (such as phase angle information), it can be determined that the trend of material corrosion and fouling prejudges material at a certain temperature
Corrosion and scaling tendency；And then actually made come actual observation pipeline by 3d cameras in dynamic pipeline simulation steps
Fouling in and corrosion tendency, to which etection theory calculates the uniformity between realistic simulation in main trend, so that
The conclusion gone out is more added with referential.
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, not to
The limitation present invention, all within the spirits and principles of the present invention made by all any modification, equivalent and improvement etc., should all include
Within protection scope of the present invention.
Claims (9)
1. a kind of test method of oilfield sewage corrosion and scaling characteristic, which is characterized in that include the following steps：
(1) Static Electro chemical analysis step：
At different temperatures, test line is distinguished by AC impedence method using 3 electrode systems using live oilfield sewage as solution
Electrochemical impedance collection of illustrative plates of the material under the live oilfield sewage, and according to the electrochemical impedance obtained under different temperatures
Collection of illustrative plates obtains the phase angle critical transition temperature of the piping material；
The piping material is that live oil field conveys material used by the pipeline of oilfield sewage；
(2) CFD software simulation steps：
It is reference, design simulation pipeline with the pipeline that the live oil field conveys oilfield sewage；Then, with modeling mesh generation
Software carries out computer modeling to the simulation pipeline and obtains pipeline model；Then, it is simulated in difference into nozzle with CFD software
Fluidised form information under flow velocity in the pipeline model obtains turbulence intensity and wall surface shear stress with away from the distribution into nozzle distance
Situation；And determine that experiment is surveyed with away from the distribution situation into nozzle distance according to the turbulence intensity and the wall surface shear stress
The riding position of test piece；
Then, according to described in difference into the turbulence intensity under nozzle flow velocity and the wall surface shear stress with away from into nozzle
The distribution situation of distance obtains wall surface shear stress and into nozzle flow velocity and away from the functional relation into nozzle apart from three, rapid
The energy of flow and the functional relation into nozzle flow velocity and distance into nozzle apart from three；
(3) dynamic pipeline simulation steps：
According to the riding position of the simulation pipeline and the experiment test piece in the step (2), setting dynamic is managed
Line, the dynamic pipeline is for placing experiment test piece；Then, the experiment test piece is placed on the dynamic pipeline,
Different temperatures and different recycled into progress water under nozzle flow velocity start dynamic simulation experiment, and under different experiment durations
Measure the dirty layer thickness of the testing piece at different riding positions, the difference riding positions correspond to different described away from inlet pipe
Mouth distance；
Material identical used by pipeline of the experiment test piece with the live oil field conveying oilfield sewage；The water cycle
Using the live oilfield sewage；The dynamic pipeline is equal proportion relationship with the simulation pipeline in the step (2)；
(4) Data Integration analytical procedure：
According to the wall surface shear stress obtained in the step (2) and into nozzle flow velocity and away from the letter into nozzle apart from three
Number relationships, Turbulent Kinetic and functional relation into nozzle flow velocity and distance into nozzle apart from three, in the step (3)
Arrive different temperatures, difference into the dirty layer thickness at the different riding positions under nozzle flow velocity and different experiments duration, obtain
Go out the relationship between dirty layer thickness and variable, to obtain the corrosion and scaling characteristic of the oilfield sewage；The variable is dynamic for turbulent flow
Energy, wall surface shear stress, temperature, into nozzle flow velocity, experiment duration and away from into nozzle distance at least one of.
2. the test method of oilfield sewage corrosion and scaling characteristic as described in claim 1, which is characterized in that in the step (3),
After measurement obtains the dirty layer thickness, further include：
The experiment test piece is dried, final amount of scale buildup is obtained after check weighing；Then the experiment test piece pickling is dried again,
Final extent of corrosion is obtained after check weighing.
3. the test method of oilfield sewage corrosion and scaling characteristic as described in claim 1, which is characterized in that in the step (3)
The water recycle to be that the live oilfield sewage added with additive carries out；The additive is corrosion inhibiter, scale inhibition
At least one of agent and fungicide.
4. the test method of oilfield sewage corrosion and scaling characteristic as described in claim 1, which is characterized in that in the step (1)
Testing time by the electrochemical impedance collection of illustrative plates of AC impedence method test line material is at least 7 days；3 electrode system is
Using the piping material as working electrode, using calomel electrode as reference electrode, using platinum electrode as to electrode.
5. the test method of oilfield sewage corrosion and scaling characteristic as described in claim 1, which is characterized in that in the step (3)
The temperature for carrying out the dynamic simulation experiment includes the phase angle critical transition temperature obtained in the step (1)；It is described
Used by carrying out temperature and the static electrochemical analysis of the middle progress of the step (1) of the dynamic simulation experiment in step (3)
Temperature corresponds, and being used into nozzle flow velocity and the step (2) are middle for the dynamic simulation experiment is carried out in the step (3)
It is corresponded into nozzle flow velocity used by CFD software simulation.
6. the test method of oilfield sewage corrosion and scaling characteristic as described in claim 1, which is characterized in that in the step (1)
It is 40 DEG C~60 DEG C to carry out temperature used by static electrochemical analysis, is used with CFD software simulation in the step (2)
Into nozzle flow velocity be 0.41m/s~1.54m/s；The temperature that the dynamic simulation experiment is carried out in the step (3) is 40 DEG C
~60 DEG C, carry out in the step (3) dynamic simulation experiment into nozzle flow velocity be 0.41m/s~1.54m/s.
7. the test method of oilfield sewage corrosion and scaling characteristic as described in claim 1, which is characterized in that in the step (2)
The modeling mesh generation software be Gambit softwares；The CFD software is Fluent softwares.
8. the test method of oilfield sewage corrosion and scaling characteristic as described in claim 1, which is characterized in that in the step (3)
The dirty layer thickness for measuring the testing piece is that the testing piece is observed to the dirt of the testing piece obtained under super depth-of-field microscope
Layer average thickness.
9. the test method of oilfield sewage corrosion and scaling characteristic as described in claim 1, which is characterized in that in the step (2)
The riding position of the obtained experiment test piece corresponds to the extreme value place of the turbulence intensity and the wall surface shear stress
At least one of extreme value place.
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| CN110715876B (en) * | 2019-10-23 | 2022-05-31 | 中国石油化工股份有限公司 | Indoor rapid evaluation method for sewage corrosion inhibitor |
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| US11753926B2 (en) | 2021-07-01 | 2023-09-12 | Saudi Arabian Oil Company | Method and system for predicting caliper log data for descaled wells |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2438127Y (en) * | 2000-07-17 | 2001-07-04 | 东北电力学院 | Scaling inhibition in-line monitoring device for water treatment technique |
| CN101270660A (en) * | 2008-04-24 | 2008-09-24 | 中国海洋石油总公司 | Dynamic scale formation instrument |
| CN102230577A (en) * | 2011-05-19 | 2011-11-02 | 浙江大学 | Comprehensive water quality simulation test system for quasi-closed circulation pipe network |
| CN102517377A (en) * | 2011-11-19 | 2012-06-27 | 胜利油田胜利勘察设计研究院有限公司 | Method for detecting and analyzing biomembrane on inner wall of oil field sewage pipe |
| CN202956331U (en) * | 2012-11-21 | 2013-05-29 | 中国石油大学(华东) | Device for detecting corrosion nonuniformity of inner wall of pipe |
| KR20130117433A (en) * | 2012-04-17 | 2013-10-28 | 성균관대학교산학협력단 | Measuring method of corrosion and water quality using water-loof system in a heating system and water-loof system used the same |
| CN105866018A (en) * | 2016-04-19 | 2016-08-17 | 中国石油天然气集团公司 | Test device and method for evaluating scouring corrosion of oil-gas pipeline under high flow rate |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9568375B2 (en) * | 2012-12-20 | 2017-02-14 | Solenis Technologies, L.P. | Method and apparatus for estimating fouling factor and/or inverse soluble scale thickness in heat transfer equipment |
-
2016
- 2016-08-29 CN CN201610753456.4A patent/CN106124397B/en not_active Expired - Fee Related
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2438127Y (en) * | 2000-07-17 | 2001-07-04 | 东北电力学院 | Scaling inhibition in-line monitoring device for water treatment technique |
| CN101270660A (en) * | 2008-04-24 | 2008-09-24 | 中国海洋石油总公司 | Dynamic scale formation instrument |
| CN102230577A (en) * | 2011-05-19 | 2011-11-02 | 浙江大学 | Comprehensive water quality simulation test system for quasi-closed circulation pipe network |
| CN102517377A (en) * | 2011-11-19 | 2012-06-27 | 胜利油田胜利勘察设计研究院有限公司 | Method for detecting and analyzing biomembrane on inner wall of oil field sewage pipe |
| KR20130117433A (en) * | 2012-04-17 | 2013-10-28 | 성균관대학교산학협력단 | Measuring method of corrosion and water quality using water-loof system in a heating system and water-loof system used the same |
| CN202956331U (en) * | 2012-11-21 | 2013-05-29 | 中国石油大学(华东) | Device for detecting corrosion nonuniformity of inner wall of pipe |
| CN105866018A (en) * | 2016-04-19 | 2016-08-17 | 中国石油天然气集团公司 | Test device and method for evaluating scouring corrosion of oil-gas pipeline under high flow rate |
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