1. A method for rock debris reinjection layer selection based on well logging information is characterized by comprising the following steps:

s1, calculating a shale content profile of the stratum corresponding to the well to be reinjected according to the gamma logging data;

s2, determining the longitudinal distribution of the lithology of the stratum according to the argillaceous content profile;

s3, selecting the sandstone layer in the stratum lithologic longitudinal distribution as a reinjection target layer, and judging whether the depth of the target layer meets the requirement;

s4, judging whether the thickness of the reinjection target layer meets the requirement or not;

s5, judging whether the thickness of the reinjection target layer cover layer meets the requirement or not;

s6, respectively calculating the porosity, permeability, fracture pressure and cover fracture pressure profiles of the reinjection target stratum according to the logging information;

s7, judging whether the rupture pressure difference between the reinjection target layer and the cover layer meets the requirement or not;

s8, if the judgment steps are all in accordance with the requirements, respectively calculating a normalized porosity average value, a normalized permeability average value and a normalized fracture pressure average value according to the porosity, permeability and fracture pressure profile of the target layer, and determining a reinjection potential index H of the reinjection target layer;

s9: and determining whether the reinjection target layer is suitable according to the reinjection potential index H.

2. The method for performing formation cuttings reinjection and layer selection based on well-logging information of claim 1, wherein in step S8, the reinjection potential index H of the reinjection target layer is determined according to the following formula:

wherein a is 0.1365; b-0.2385; c-0.6250

Is an average value of normalized porosity;

is the normalized permeability average;

normalized burst pressure mean.

3. The method for performing rock debris reinjection layer selection based on well log data as claimed in claim 1 or 2, wherein in step S1, by obtaining a gamma log, a formation shale content profile is calculated according to the following formula,

wherein:

V_sh-argillaceous content,%

GR-log gamma value

GR_sand-gamma value of pure sandstone

GR_mud-pure mudstone gamma value.

4. The method for performing rock debris reinjection and layer selection based on logging information as claimed in any one of claims 1 to 3, wherein the stratum lithology longitudinal distribution judgment standard is as follows:

if the argillaceous content V_shNot more than 40, and the thickness of the layer is not less than 4m, the layer is a sandstone layer;

if the argillaceous content V_shLess than or equal to 40, and the thickness of the layer is more than or equal to 4m, so that the layer is a sandstone interlayer;

if the argillaceous content V_shMore than or equal to 60, and the thickness of the layer is more than or equal to 4m, the layer is mudstone;

if the argillaceous content V_shMore than or equal to 60, and the thickness of the layer is more than or less than 4m, so that the layer is a mudstone interlayer;

if the mud content is more than 40, V_shLess than 60, and the thickness of the layer is more than or equal to 4m, the layer is a argillaceous sandstone layer;

if the mud content is more than 40, V_shLess than 60, and the thickness of the layer is more than 4m, so that the layer is a argillaceous sandstone interlayer.

5. The method for performing rock debris reinjection layer selection based on well-logging information as claimed in any one of claims 1 to 3, wherein in step S3, in combination with the reinjection working area, it is determined whether the distance from the top of the selected sandstone layer to the earth' S surface or the sea bottom is greater than 600m according to the lithological longitudinal distribution, if the depth is greater than 600m, the next step is performed, otherwise, the target layer does not meet the reinjection depth requirement.

6. The method for performing rock debris reinjection layer selection based on well-logging information as recited in any one of claims 1 to 3, wherein in step S4, the thickness of the reinjection target layer is determined according to the longitudinal distribution of the lithology of the stratum, and if the thickness of the reinjection target layer is greater than 10m, the reinjection requirement is met, otherwise, the target layer does not meet the reinjection thickness requirement.

7. The method for performing rock debris reinjection layer selection based on well log data as claimed in any one of claims 1 to 3, wherein in step S5, the thickness of the cap rock of the reinjection target layer is judged according to the longitudinal distribution of the lithology of the stratum, and if the thickness of the cap rock is greater than 20m, the requirement of reinjection cap rock is met, otherwise, the cap rock is not met.

8. The method for performing formation cuttings re-injection selection based on well log data as claimed in any one of claims 1 to 3, wherein in step S6, the porosity, permeability, fracture pressure and fracture pressure profile of the cap rock of the re-injection target formation are calculated by gamma log, sonic log and density log respectively:

if it isGetWhen calculating the result S_wiLess than or equal to 15 percent, taking S_wi＝15％

Wherein:

p_f-rupture pressure, MPa;

σ_v-overburden pressure, MPa;

σ_h-minimum ground stress, MPa;

σ_H-maximum ground stress, MPa;

k-permeability, D;

S_trock tensile strength, experimentally obtained, MPa;

alpha-Biot coefficient, empirical value phi < alpha < 1;

mu-rock static poisson's ratio, obtained experimentally;

phi-porosity,%;

ρ_rockrock density, g/cm³Available from density logs;

P_p-pore pressure, MPa;

delta t-logging acoustic time difference, us/ft;

Δt_ma-rock skeleton acoustic moveout, sandstone 182us/m, limestone 156us/m, dolomite 143 us/m;

Δt_f-slurry ofThe sound wave time difference is 608us/m of saline water and 620us/m of fresh water;

Δt_sh-argillaceous (mudstone) acoustic moveout, 283 us/m;

Δt_nnormally compacting the mud rock acoustic time difference, carrying out unary linear regression after logarithm is taken on the actually measured acoustic wave, and solving a trend line of the acoustic wave;

h-well depth, m;

S_wi-irreducible water saturation,%;

P_n-hydrostatic column pressure, MPa;

the x-Eaton index is determined by the regional rule or the actual drilling data and is taken as 1.2;

ε₁、ε₂-constructing stress coefficients, back-calculated from experimental data.

9. The method of claim 8, wherein in step S7, if the bottom fracture pressure of the overburden is greater than the top fracture pressure of the reinjection target layer and the difference between the bottom fracture pressure and the top fracture pressure is greater than 6.89MPa, the stress of the overburden meets the requirement, otherwise the stress of the overburden does not meet the reinjection requirement.

10. The method of claim 9, wherein in step S8, the porosity, permeability and rupture pressure values of the target zone obtained in step S6 are normalized respectively, and then the normalized porosity average, normalized permeability average and normalized rupture pressure average of the reinjection target zone are calculated, and then the reinjection potential index H is calculated;

in step S9, when H is more than or equal to 0.5, the reinjection target layer is suitable for reinjection; when H is more than 0.3 and less than 0.5, the reinjection target layer needs to be reinjected carefully; when H is less than or equal to 0.3, the reinjection target layer is not suitable for reinjection;

if any of the steps S3, S4, S5 and S7 is not satisfactory, the reinjection target layer is not suitable for reinjection.

Background

In recent years, oil and gas development has increasingly used oil-based drilling fluids, which produce large quantities of highly polluting oil-based cuttings. At present, with the stricter and stricter requirements of various countries on environmental protection, drilling waste can be discharged only when meeting the environmental requirements, so how to treat oil-based cuttings efficiently and at low cost becomes a key factor restricting the drilling progress.

The treatment methods commonly used at present include landfill, mechanical separation, biological, heat treatment and recycling. Although the landfill method has low cost, the landfill depth is shallow, and oil-based waste can be leaked and pollute the environment when the oil-based waste is washed in rainy seasons or infiltrated by underground water; the mechanical separation method and the heat treatment method have high equipment operation cost; the biological method has long treatment period, and toxic substances in the oil-based rock debris can inhibit the biochemical degradation process; the reinjection method is to grind the oil-based rock debris and inject the slurry containing the rock debris into a target stratum from an annular space or a special reinjection well through a high-pressure pump, so that the problem that the oil-based rock debris pollutes the environment can be fundamentally solved, and meanwhile, the treatment cost is low and the timeliness is good. Especially, compared with the offshore oil and gas field, the reinjection treatment is carried back to the land, the cost is greatly reduced, and the occupation of the offshore platform space is reduced. However, the existing reinjection method is applied more abroad, and is not applied in large scale at home, because the screening of the reinjection target layer is mostly determined based on experience, a scientific method or a guidance scheme is lacked, the risks of cap layer rupture due to over-high pressure, unqualified pore space, poor cap layer stability and the like exist, the reinjection efficiency and the reinjection amount are influenced, and even more serious, once leakage occurs, irreversible serious pollution is caused to formation water or marine environment.

Disclosure of Invention

In view of the above, the present invention aims to provide a method for performing rock debris reinjection layer selection based on logging information, so as to provide a complete layer selection process with scientific basis, so as to effectively solve the disadvantage of experience layer selection.

The invention firstly provides a method for performing rock debris reinjection layer selection based on logging information, which comprises the following steps:

s1, calculating a stratum shale content profile corresponding to the well to be reinjected according to the gamma logging data;

s2, determining the longitudinal distribution of the lithology of the stratum according to the shale content and the lithology judgment standard;

s3, selecting the sandstone layer in the lithologic longitudinal distribution of the stratum as a reinjection target layer, and judging whether the depth of the target layer meets the requirement or not;

s4, judging whether the thickness of the reinjection target layer meets the requirement or not;

s5, judging whether the thickness of the reinjection target layer cover layer meets the requirement or not;

s6, respectively calculating the porosity, permeability, fracture pressure and cover fracture pressure profiles of the reinjection target layer according to the logging information;

s7, judging whether the rupture pressure difference between the reinjection target layer and the cover layer meets the requirement or not;

s8, respectively calculating a normalized porosity average value, a normalized permeability average value and a normalized rupture pressure average value of the target layer according to the porosity, permeability and rupture pressure profile of the target layer, and determining a reinjection potential index H of the reinjection target layer;

s9: and determining whether the reinjection target layer is suitable according to the reinjection potential index H.

According to one embodiment of the present invention, in step S8, the reinjection potential index H of the reinjection target layer

Determined according to the following formula:

wherein a is 0.1365; b-0.2385; c-0.6250

Is an average value of normalized porosity;

is the normalized permeability average;

normalized burst pressure average;

the H-index is a dimensionless number calculated by AHP analytic hierarchy process and represents the target formation reinjection potential index.

In step S1, the mudcontent profile of the formation is calculated according to the following formula by obtaining a gamma log,

wherein:

V_sh-argillaceous content,%

GR-log gamma value

GR_sand-gamma value of pure sandstone

GR_mud-pure mudstone gamma value.

According to one embodiment of the invention, the formation lithology longitudinal distribution is judged in step S2 according to the following criteria,

content of mud (V)_sh) Not more than 40, and the thickness of the layer is not less than 4m, the layer is a sandstone layer;

content of mud (V)_sh) Less than or equal to 40, and the thickness of the layer is greater than or equal to<4m, the layer is a sandstone interlayer;

content of mud (V)_sh) More than or equal to 60, and the thickness of the layer is more than or equal to 4m, the layer is mudstone;

content of mud (V)_sh) Is not less than 60, andthe thickness of the layer is greater than<4m, the layer is a mudstone interlayer;

if 40<Argillaceous content (V)_sh)<60, and the thickness of the layer is more than or equal to 4m, the layer is a argillaceous sandstone layer.

If 40<Argillaceous content (V)_sh)<60 and the thickness of the layer is greater than<4m, the layer is a argillaceous sandstone interlayer.

According to one embodiment of the invention, in step S3, it is determined whether the distance from the top of the selected sandstone layer to the earth surface (land reinjection) or the seabed (offshore platform reinjection) is greater than 600m by the lithological longitudinal distribution in combination with the reinjection operation area (land or offshore), and if the distance is greater than 600m, the next step is performed, otherwise, the target layer does not meet the reinjection depth requirement.

According to an embodiment of the present invention, in step S4, the thickness of the reinjection target layer is determined according to the longitudinal distribution of the lithology of the formation, and if the thickness of the reinjection target layer is greater than 10m, the reinjection requirement is met, otherwise, the target layer does not meet the reinjection thickness requirement.

According to an embodiment of the invention, in step S5, the thickness of the cap rock of the reinjection target layer is determined according to the longitudinal distribution of the stratigraphic lithology, and if the thickness of the cap rock is greater than 20m, the requirement of the reinjection cap rock is met, otherwise, the cap rock does not meet the requirement.

According to one embodiment of the present invention, in step S6, the porosity, permeability, fracture pressure, and fracture pressure profile of the cap layer of the reinjection target layer are calculated by gamma log, sonic log, and density log, respectively.

According to one embodiment of the present invention, in step S7, if the cap layer bottom fracture pressure is greater than the reinjection target layer top fracture pressure by a difference greater than 6.89MPa (i.e., 1000psi), the cap layer fracture pressure is satisfactory, otherwise, the reinjection requirement is not satisfied.

According to an embodiment of the invention, in step S8, normalization processing is performed on the target formation porosity, permeability and fracture pressure profile obtained in step S6, and then the normalized porosity average value, the normalized permeability average value and the normalized fracture pressure average value of the reinjection target layer are calculated, and then the target layer reinjection potential index H is calculated;

in step S9, when H is more than or equal to 0.5, the reinjection target layer is suitable for reinjection; when 0.3< H <0.5

The reinjection target layer should be reinjected carefully; when H is less than or equal to 0.3, the reinjection target layer is not suitable for reinjection;

if any one of the steps S3, S4, S5 and S7 does not meet the requirement, the reinjection target layer is not suitable for reinjection, the first step needs to be returned again, and another target layer is selected for judgment.

The invention accurately screens the reinjection target layer by calculating and judging a series of parameters of the reinjection target layer and the cover layer based on acoustic logging, gamma logging and density logging information. The method can provide a complete rock debris reinjection layer selection process with scientific basis, can effectively overcome the defect of experience layer selection, and is low in calculation cost and convenient to screen.

Drawings

Fig. 1 is a schematic flow chart of a reinjection selection layer according to an embodiment of the present invention.

Detailed Description

The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings so that the objects, features and advantages of the invention can be more clearly understood. It should be understood that the embodiments shown in the drawings are not intended to limit the scope of the present invention, but are merely intended to illustrate the spirit of the technical solution of the present invention.

The invention provides a rock debris reinjection layer selection method based on conventional logging information, which is based on acoustic logging, gamma logging and density logging information and accurately screens reinjection target layers by calculating and judging a series of parameters of the target layers and the cover layers. The method can provide a complete layer selection process with scientific basis, can effectively overcome the defect of experience layer selection, and has the advantages of low calculation cost and convenient screening.

In this embodiment, a method for performing rock debris reinjection and layer selection based on logging information includes calculating formation parameters according to acoustic logging, gamma logging and density logging information, and performing reinjection and layer selection according to a screening standard, as shown in fig. 1, and mainly includes the following steps:

step 1: calculating a stratum shale content profile according to the gamma logging information;

step 2: determining the longitudinal distribution of the lithology of the stratum according to the lithology classification standard;

and step 3: selecting a sandstone layer as a reinjection target layer, and judging the depth of the target layer;

and 4, step 4: judging the thickness of a target layer;

and 5: judging the thickness of the cover layer;

step 6: substituting the logging information into a calculation formula, and respectively calculating the porosity, permeability, fracture pressure and cover fracture pressure profiles of the reinjection target layer;

and 7: judging the rupture pressure difference between the target layer and the cover layer;

and 8: calculating the average value of normalized porosity, the average value of normalized permeability and the average value of normalized rupture pressure of the target layer, and substituting the average values into a formula to calculate a reinjection potential index H;

and step 9: and selecting a reinjection layer according to the layer selection judgment standard.

Each step will be described in more detail below by way of embodiments.

In carrying out the above steps in detail, according to an embodiment of the present invention, the following embodiments are adopted.

Step 1: and (3) acquiring a gamma logging curve, and calculating a stratum shale content profile according to a formula (1).

Wherein:

V_sh-argillaceous content,%

GR-log gamma value

GR_sand-gamma value of pure sandstone

GR_mudPure mudstone gamma value

Step 2: and layering the stratum according to the following standard, and determining the lithological longitudinal distribution of the stratum.

Type of stratum	Argillaceous content (Vsh)	Thickness of
			Sandstone layer	≤40	≥4m
Sandstone interlayer	≤40	＜4m
			Mud rock layer	≥60	≥4m
Mudstone interlayer	≥60	＜4m
			Argillaceous sandstone layer	40＜Vsh＜60	≥4m
Argillaceous sandstone interlayer	40＜Vsh＜60	＜4m

And step 3: selecting a sandstone layer with larger thickness as a reinjection target layer according to the lithological longitudinal distribution, firstly judging whether the distance from the top of the selected sandstone layer to the earth surface (land reinjection) or the seabed (offshore platform reinjection) is more than 600m by combining the reinjection operation area (land or offshore) through the lithological longitudinal distribution, if the depth is more than 600m, carrying out next step selection, otherwise, selecting other layers if the target layer does not meet the reinjection depth requirement.

And 4, step 4: and when the depth of the target layer meets the requirement, judging the thickness of the target layer through lithological longitudinal distribution, if the thickness of the target stratum is more than 10m, meeting the requirement of a reinjection layer, otherwise, replacing other layers if the target layer does not meet the requirement of the reinjection thickness.

And 5: and after the depth and the thickness of the target layer meet the requirements, judging the thickness of the cover layer of the target layer through lithological longitudinal distribution, if the thickness of the cover layer is more than 20m, meeting the requirement of reinjection of the cover layer, otherwise, if the cover layer does not meet the requirements, replacing other layers.

Step 6: when the depth, thickness and cover layer thickness of the target layer meet the requirements, the gamma logging, the acoustic logging and the density logging are carried into the formula (2-9), and the porosity, permeability, fracture pressure and cover layer fracture pressure profile of the target layer are calculated respectively.

σ_v＝∫₀ ^hρ_rock*g*dh (3)

If it isGetWhen calculating the result S_wiLess than or equal to 15 percent, taking S_wi＝15％

Wherein:

p_f-rupture pressure, MPa;

σ_v-overburden pressure, MPa;

σ_h-minimum ground stress, MPa;

σ_H-maximum ground stress, MPa;

k-permeability, D;

S_trock tensile strength, experimentally obtained, MPa;

alpha-Biot coefficient, empirical value phi < alpha < 1;

mu-rock static poisson's ratio, obtained experimentally;

phi-porosity,%;

ρ_rockrock density, g/cm³Available from density logs;

P_p-pore pressure, MPa;

delta t-logging acoustic time difference, us/ft;

Δt_ma-rock skeleton acoustic moveout, sandstone 182us/m, limestone 156us/m, dolomite 143us/m, here 150 us/m;

Δt_fmud acoustic moveout, brine 608us/m, fresh water 620 us/m;

Δt_sh-argillaceous (mudstone) acoustic moveout, 283 us/m;

Δt_nnormally compacting the mud rock acoustic time difference, carrying out unary linear regression after logarithm is taken on the actually measured acoustic wave, and solving a trend line of the acoustic wave;

h-well depth, m;

S_wi-irreducible water saturation,%;

P_n-hydrostatic column pressure, MPa;

the x-Eaton index is determined by the regional rule or the actual drilling data and is taken as 1.2;

ε₁、ε₂-constructing stress coefficients, back-calculated from experimental data;

step 7: and (4) judging the fracture pressure difference between the bottom of the cover layer and the top of the target layer through the fracture pressure profile calculated in the step (6), if the fracture pressure of the bottom of the cover layer is greater than the fracture pressure of the top of the target layer and the difference is greater than 6.89MPa (1000psi), the fracture pressure of the cover layer meets the requirement, and if not, other layers need to be selected.

And 8: and (3) when the target layer and the cover layer meet the requirements of the steps 1 to 7, respectively carrying out normalization treatment on the target layer porosity, permeability and fracture pressure profile obtained by calculation in the step 6 according to a formula (10-11), then calculating a target layer normalized porosity average value, a normalized permeability average value and a normalized fracture pressure average value, and substituting the target layer normalized porosity average value, the normalized permeability average value and the normalized fracture pressure average value into a formula (12) to calculate a reinjection potential index H.

The more optimal the index normalization process formula for the greater the porosity and permeability:

the more optimal index normalization processing formula is for the smaller the burst pressure is:

wherein X_maxIs the maximum value of the sample data, corresponding to the maximum data value, X, in the parameter profile to be solved_minIs the minimum value of sample data, corresponding to the minimum data value, X, in the parameter profile to be solved_iFor the sample data to be calculated, corresponding to each data point in the profile, Y is a normalization value.

Wherein a is 0.1365; b-0.2385; c-0.6250

Is an average value of normalized porosity;

is the normalized permeability average;

normalized burst pressure average;

wherein A, B, C is obtained according to the AHP analytic hierarchy process described below, A, B, C in formula (12) respectively represents influence weights of porosity, permeability and fracture pressure on the reinjection potential index of the reinjection layer, and has no practical physical significance.

It should be noted that the porosity, permeability and fracture pressure obtained by the AHP analytic hierarchy process according to the present invention have the greatest impact on the reinjection potential. Defining the reinjection potential index H to be equal to the sum of products of the normalized porosity average value, the normalized permeability average value, the normalized fracture pressure average value and the influence weight A, B, C of the reinjection target layer, and judging whether the layer is suitable for reinjection or not according to the size of H.

It should be noted that the term "profile" is defined in the present invention as a data set composed of one-to-one corresponding values of a parameter and a depth data point, and is expressed as a change of a parameter value with depth.

The purpose of normalization to be described is to convert the actual value of a certain parameter into a value within a standard value range of 0 to 1, and the normalized average value refers to the average value of data after normalization of the parameter is calculated.

And step 9: and according to the H calculated in the step 8, determining whether the target layer is suitable for reinjection operation or not by referring to the table 2.

Recall advice	Is suitable for reinjection	Cautious reinjection	Unsuitable for reinjection
				H	H≥0.5	0.3<H<0.5	H≤0.3

It should be noted that the value range of the H index is not arbitrarily specified, but determined according to the effects of multiple groups of laboratory experiments.

The determination method of the coefficient A, B, C in the formula (12) may adopt the following AHP analytic hierarchy process:

1. and constructing a fracturing effect judgment matrix.

By comparing the permeability K (C1), the porosity phi (C2), and the fracture pressure P_f(C3) Go back toThe sensitivity of the annotation effect, and the judgment matrix for influencing the reinjection effect is determined as follows:

	C1	C2	C3
				C1	1	2	1/3
C2	1/2	1	1/4
				C3	3	4	1

2. and calculating the weight of each parameter and checking the consistency.

(1) And geometrically averaging the vectors of each row of the matrix:

(2) normalization process

(3) The weight of each influence parameter on the previous level is as follows:

W＝[W₁,W₂,…,W_n]^T

(4) judging the maximum characteristic root of the matrix A:

(5) and (3) judging the consistency of the matrix A:

when CR is less than 0.10, the judgment matrix is consistent, and the weight is satisfied. If CR >0.10, then the decision matrix needs to be adjusted until CR < 0.10. Wherein, the relationship between the consistency indexes RI and n is shown in the following table:

n	1	2	3	4	5	6	7	8	9
										RI	0.00	0.00	0.58	0.90	1.12	1.24	1.32	1.41	1.45

in the embodiment of the invention:

λ_max＝3.0183

the consistency meets the requirement, so the influence weight of each parameter on the reinjection effect is as follows:

parameter(s)	Permeability (K)	Porosity (phi)	Burst pressure (P)f)
				Weight of	0.2385	0.1365	0.6250

3. And (3) carrying out range value taking on the final reinjection potential index H parameter according to a plurality of groups of experimental results, wherein the final results are as follows:

h is more than or equal to 0.5 and can be used as a reinjection layer

0.3< H <0.5 careful reinjection

H is less than or equal to 0.3 and can not be reinjected.

It should be noted that, in this document, the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the system or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention; relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

In addition, in the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.

The foregoing embodiments are merely illustrative of the present invention, and various components and devices of the embodiments may be changed or eliminated as desired, not all components shown in the drawings are necessarily required, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments described herein, and all equivalent changes and modifications based on the technical solutions of the present invention should not be excluded from the scope of the present invention.