CN111815174A - Method and related device for determining architecture parameters of gas field gathering and transportation system - Google Patents

Method and related device for determining architecture parameters of gas field gathering and transportation system Download PDF

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CN111815174A
CN111815174A CN202010661410.6A CN202010661410A CN111815174A CN 111815174 A CN111815174 A CN 111815174A CN 202010661410 A CN202010661410 A CN 202010661410A CN 111815174 A CN111815174 A CN 111815174A
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陈仕林
洪炳沅
吴建光
李晓平
王雨墨
赵长龙
宫敬
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China University of Petroleum Beijing
China United Coalbed Methane Corp Ltd
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Abstract

The invention provides a method and a related device for determining the architecture parameters of a gas field gathering and transportation system, in the method, in the process of determining the output result of a gas field gathering and transportation model, parameters representing the environmental information of a target area are added into non-target control parameters, namely, when the parameter values of the target control parameters are calculated, the influence of the environmental information of the target area for constructing the gas field gathering and transportation system is considered, and then the parameter values of the target control parameters obtained by solving better meet the environmental requirements of the target area, because the target control parameters are parameters used for constructing the gas field gathering and transportation system in the target area, the matching degree of the gas field gathering and transportation system constructed according to the target control parameters and the environment is higher, the probability of occurrence of safety accidents is lower, the safety of the gas field gathering and transportation system is higher, and the gas field gathering and transportation system has safety accidents, the natural gas leakage is caused, and the probability of causing pollution to the environment is low.

Description

Method and related device for determining architecture parameters of gas field gathering and transportation system
Technical Field
The invention relates to the field of data processing, in particular to a method and a related device for determining architecture parameters of a gas field gathering and transportation system.
Background
In recent years, the demand for natural gas is strong, the proportion of the natural gas in an energy structure is increased, and a gas field gathering and transporting system can gather, transport and process the natural gas and provide the natural gas meeting the quality requirement for downstream equipment. Therefore, whether the gas field gathering system is safe directly affects whether the downstream equipment can normally use the natural gas. In an actual scene, the gas field gathering and transporting system is easily affected by natural disasters, such as flood disasters, landslides and the like, the safety of the gas field gathering and transporting system is affected at the moment, and further, if the gas field gathering and transporting system has a safety accident, natural gas leakage may occur at the moment, and the environment is polluted.
Disclosure of Invention
In view of the above, the present invention provides a method and a related apparatus for determining configuration parameters of a gas field gathering and transportation system, so as to solve the problem that if there is a problem in the safety of the gas field gathering and transportation system, natural gas leakage may occur at this time, which may cause environmental pollution.
In order to solve the technical problems, the invention adopts the following technical scheme:
a method of determining architectural parameters of a gas field gathering system, comprising:
acquiring a pre-constructed gas field gathering and transportation model; the gas field gathering and transporting model comprises target control parameters and non-target control parameters of a gas field gathering and transporting system; the target control parameters are parameters used for building the gas field gathering and transportation system in a target area; the non-target control parameters comprise basic parameters and environment parameters used for representing environment information of the target area;
acquiring parameter values of the non-target control parameters;
obtaining a model calculation result of the gas field gathering and transportation model according to the parameter value of the non-target control parameter; the model calculation result includes a parameter value of the target control parameter.
Optionally, the environmental parameters include: a natural risk level for each sub-region in the target region;
the calculation process of the natural risk level comprises the following steps:
obtaining a plurality of natural risk categories; each of the natural risk categories includes a plurality of natural risk subcategories;
acquiring a weight value of each natural risk category and a weight value of each natural risk subcategory;
acquiring natural disaster grade information of the sub-area in the environment information of the target area;
and calculating to obtain the natural risk level of the sub-area according to a preset natural risk level calculation formula, the weight value of each natural risk category, the weight value of each natural risk sub-category and the natural disaster level information of the sub-area.
Optionally, the environmental parameters include: a pollution degree value of the gas collecting station;
the calculation process of the pollution degree value of the gas gathering station comprises the following steps:
acquiring parameter information of a gas gathering station and pollution monitoring information of each pollution monitoring point in a plurality of pollution monitoring points corresponding to the gas gathering station;
and calculating to obtain a gas gathering station pollution degree value of the gas gathering station according to a preset gas gathering station pollution degree calculation formula, the parameter information of the gas gathering station and the pollution monitoring information of each pollution monitoring point.
Optionally, obtaining a pre-constructed gas field gathering and transportation model comprises:
acquiring a target function in a pre-constructed gas field gathering and transportation model; the target function comprises target control parameters and non-target control parameters of the gas field gathering and transportation system; the target control parameters are parameters used for building the gas field gathering and transportation system in a target area; the non-target control parameters include environmental information of the target area;
acquiring constraint conditions in a pre-constructed gas field gathering and transportation model; the constraint is determined according to the non-target parameter.
Optionally, obtaining a model calculation result of the gas field gathering and transportation model according to the parameter value of the non-target control parameter, including:
solving the gas field gathering and transportation model by adopting a preset solving algorithm according to the parameter values of the non-target control parameters to obtain a model calculation result;
the model calculation result comprises parameter values of the target control parameters; the target control parameters comprise construction cost information of the gas field gathering and transportation system, gas gathering station position information in the gas field gathering and transportation system, valve group position information, pipe network connection information and pipeline paths.
An apparatus for determining architectural parameters of a gas field gathering system, comprising:
the model acquisition module is used for acquiring a gas field gathering and transportation model which is constructed in advance; the gas field gathering and transporting model comprises target control parameters and non-target control parameters of a gas field gathering and transporting system; the target control parameters are parameters used for building the gas field gathering and transportation system in a target area; the non-target control parameters comprise basic parameters and environment parameters used for representing environment information of the target area;
the parameter value acquisition module is used for acquiring the parameter value of the non-target control parameter;
the result acquisition module is used for acquiring a model calculation result of the gas field gathering and transportation model according to the parameter value of the non-target control parameter; the model calculation result includes a parameter value of the target control parameter.
Optionally, the environmental parameters include: a natural risk level for each sub-region in the target region;
the device further comprises: a risk calculation module, the risk calculation module comprising:
the category acquisition submodule is used for acquiring a plurality of natural risk categories; each of the natural risk categories includes a plurality of natural risk subcategories;
the weight obtaining submodule is used for obtaining a weight value of each natural risk category and a weight value of each natural risk subcategory;
the grade acquisition submodule is used for acquiring natural disaster grade information of the subareas in the environment information of the target area;
and the level calculation submodule is used for calculating to obtain the natural risk level of the sub-area according to a preset natural risk level calculation formula, the weight value of each natural risk category, the weight value of each natural risk sub-category and the natural disaster level information of the sub-area.
Optionally, the environmental parameters include: a pollution degree value of the gas collecting station;
the device further comprises: a contamination level calculation module, the contamination level calculation module comprising:
the parameter acquisition submodule is used for acquiring parameter information of a gas gathering station and pollution monitoring information of each pollution monitoring point in a plurality of pollution monitoring points corresponding to the gas gathering station;
and the pollution degree calculation submodule is used for calculating to obtain a gas gathering station pollution degree value of the gas gathering station according to a preset gas gathering station pollution degree calculation formula, the parameter information of the gas gathering station and the pollution monitoring information of each pollution monitoring point.
Optionally, the model obtaining module is specifically configured to:
acquiring a target function in a pre-constructed gas field gathering and transportation model; the target function comprises target control parameters and non-target control parameters of the gas field gathering and transportation system; the target control parameters are parameters used for building the gas field gathering and transportation system in a target area; the non-target control parameters include environmental information of the target area;
acquiring constraint conditions in a pre-constructed gas field gathering and transportation model; the constraint is determined according to the non-target parameter.
An electronic device, comprising: a memory and a processor;
wherein the memory is used for storing programs;
the processor calls a program and is used to:
acquiring a pre-constructed gas field gathering and transportation model; the gas field gathering and transporting model comprises target control parameters and non-target control parameters of a gas field gathering and transporting system; the target control parameters are parameters used for building the gas field gathering and transportation system in a target area; the non-target control parameters comprise basic parameters and environment parameters used for representing environment information of the target area;
acquiring parameter values of the non-target control parameters;
obtaining a model calculation result of the gas field gathering and transportation model according to the parameter value of the non-target control parameter; the model calculation result includes a parameter value of the target control parameter.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a method and a related device for determining framework parameters of a gas field gathering and transportation system. In other words, in the process of determining the output result of the gas field gathering and transportation model, the parameter representing the environmental information of the target area is added into the non-target control parameter, that is, when the parameter value of the target control parameter is calculated, the influence of the environmental information of the target area of the gas field gathering and transportation system is considered, and then the parameter value of the target control parameter obtained by solving better meets the environmental requirement of the target area.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a method for determining an architecture parameter of a gas field gathering system according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for determining architectural parameters of a gas field gathering system according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for determining an architecture parameter of a gas field gathering system according to another embodiment of the present invention;
fig. 4 is a schematic structural diagram of a gas field gathering and transportation system according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an apparatus for determining architectural parameters of a gas field gathering system according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In recent years, the demand for natural gas is strong, the proportion of the natural gas in an energy structure is increased, and a gas field gathering and transporting system can gather, transport and process the natural gas and provide the natural gas meeting the quality requirement for downstream equipment. Therefore, whether the gas field gathering system is safe directly affects whether the downstream equipment can normally use the natural gas. In an actual scene, the gas field gathering and transporting system is easily affected by natural disasters, such as flood disasters, landslides and the like, the safety of the gas field gathering and transporting system is affected at the moment, and further, if the gas field gathering and transporting system has a safety accident, natural gas leakage may occur at the moment, and the environment is polluted.
Therefore, the inventor finds that if the environmental parameters of the target area of the gas field gathering and transportation system need to be built are considered when the gas field gathering and transportation model is built, the environment of the target area can be considered as the result of the obtained gas field gathering and transportation model, so that when the obtained gas field gathering and transportation system is built, the selected position is far away from areas with serious natural disasters such as flood disasters and landslides, the influence of the natural disasters on the gas field gathering and transportation system is small, the safety of the gas field gathering and transportation system is high, natural gas leakage occurs, and the probability of environmental pollution is reduced.
Specifically, referring to fig. 1, a method of determining an architectural parameter of a gas field gathering system may include:
and S11, acquiring a pre-constructed gas field gathering and transportation model.
The gas field gathering and transporting model comprises target control parameters and non-target control parameters of a gas field gathering and transporting system;
in practical application, the target control parameters are parameters used for building the gas field gathering and transportation system in a target area; the target control parameters include:
(1) a gas gathering station position and a valve group position;
(2) a pipe network connection mode;
(3) a conduit path;
(4) the total construction cost.
The non-target control parameters include a base parameter and an environmental parameter for characterizing environmental information of the target area. The non-target control parameters include:
(1) geographic parameters: three-dimensional terrain (including elevation and gradient information), flood data, landslide data, seismic data, rivers, precipitation (intensity frequency), landslide, earthquakes, land utilization types, wind direction and wind speed;
(2) social parameters: population density, anti-urbanization rate;
(3) economic parameters are as follows: ground average GDP, facility price (pipeline, valve bank, gas gathering station);
(4) the technical parameters are as follows: the well position, the output of each well and the valve group are connected with the upper limit.
Wherein, (1) is an environmental parameter, and (2) to (4) are basic parameters. According to the invention, the environmental parameters are newly added, and the influence of natural disasters on the gas field gathering and transportation system can be avoided when the gas field gathering and transportation system is built through the newly added environmental parameters.
In addition, in order to improve the efficiency of obtaining the model calculation result of the gas field gathering and transportation model, the following assumptions are made:
(1) the pipe network structure is a multi-stage star-shaped pipe network, namely natural gas flows from a well site to a valve group and then to a gas gathering station;
(2) regardless of the choice of the inner diameter of the pipe;
(3) if the wellhead gas has enough pressure, the gas can smoothly flow to the gas collecting station, and the hydraulic radius is required to be met without considering equipment selection;
(4) the planning problem is static, and the expansion of a pipe network along with time during rolling development is not considered;
(5) the gas gathering station only relates to position selection, and does not consider the size of the scale;
(6) only the risk of natural disasters is considered, and the risk brought by pipeline failure caused by third-party damage and corrosion is not considered.
And S12, acquiring the parameter value of the non-target control parameter.
The parameter values of the non-target control parameters may be obtained from a database, and the parameter values of the non-target control parameters may be stored in the database in advance, where the parameter values of the non-target control parameters may be manually input in advance.
And S13, obtaining a model calculation result of the gas field gathering and transportation model according to the parameter values of the non-target control parameters.
In practical applications, step S13 may include:
1) and solving the gas field gathering and transportation model by adopting a preset solving algorithm according to the parameter values of the non-target control parameters to obtain a model calculation result.
The preset solving algorithm can be a hybrid algorithm, such as a particle swarm algorithm, an ant colony algorithm and a branch and bound algorithm, wherein the particle swarm algorithm is used for giving the gas collecting station position and the valve group position, the ant colony algorithm is used for calculating a pipeline path, and the branch and bound algorithm is used for solving a pipe network connection mode and total construction cost.
The model calculation result comprises parameter values of the target control parameters; the target control parameters comprise construction cost information of the gas field gathering and transportation system, gas gathering station position information in the gas field gathering and transportation system, valve group position information, pipe network connection information and pipeline paths.
In this embodiment, the pre-constructed gas field gathering and transportation model includes non-target control parameters, the non-target control parameters include a basic parameter and an environmental parameter representing environmental information of a target area where the gas field gathering and transportation system is built, and then a model calculation result of the gas field gathering and transportation model is calculated according to parameter values of the non-target control parameters, and the model calculation result includes parameter values of the target control parameters. In other words, in the process of determining the output result of the gas field gathering and transportation model, the parameter representing the environmental information of the target area is added into the non-target control parameter, that is, when the parameter value of the target control parameter is calculated, the influence of the environmental information of the target area of the gas field gathering and transportation system is considered, and then the parameter value of the target control parameter obtained by solving better meets the environmental requirement of the target area.
On the basis of the above embodiments, some more important parameters of the environmental parameters, such as the natural risk level of each sub-area in the target area and the determination process of the pollution level value of the gas gathering station, are introduced. Specifically, the natural risk level of each sub-region in the target region may be determined by an analytic hierarchy process, and in addition, the natural risk level of each sub-region in the target region may be determined by a method such as a fuzzy analytic hierarchy process or an expert scoring method.
Specifically, in this embodiment, the natural risk level of each sub-region in the target region may be determined by using an analytic hierarchy process, and referring to fig. 2, a calculation process of the natural risk level of each sub-region in the target region includes:
and S21, acquiring a plurality of natural risk categories.
Wherein, the natural risk categories are all possible natural risks preset, and for example, the natural risk categories include: disaster-causing factor U1Disaster-bearing environment U2Disaster recovery body U3And (4) three types. Each of the natural risk categories includes a plurality of natural risk subcategories. In particular, a disaster-causing factor U1Flood dividing U11Landslide U12And earthquake U13Three categories of natural risks subcategories, disaster-bearing environment U2Divided into elevation U21Slope U22And river network density U23Three categories of natural risks, disaster-bearing body U3Divided into land types U31Population density U32GDPU for equal land33Three categories of natural risk subcategories.
S22, obtaining the weight value of each natural risk category and the weight value of each natural risk subcategory.
In this embodiment, a weight value of each natural risk category and a weight value of each natural risk subcategory are preset, such as a disaster-causing factor (0.5), a disaster-causing environment (0.3), a disaster-bearing body (0.2), a flood (0.3) inside the disaster-causing factor, a landslide (0.3), an earthquake (0.4), and so on. The weights are set manually and empirically.
It should be noted that the sum of the weights of the disaster-causing factor, the disaster-causing factor and the carrier is 1, and the sum of the weights of the multiple natural risk subcategories in each natural risk category is also 1. Such as flood U11Landslide U12And earthquake U13The sum of the weights of the three natural risk subcategories is 1.
And S23, acquiring the natural disaster grade information of the subareas in the environment information of the target area.
In this embodiment, the natural disaster level information of the sub-area may be obtained from a geographic parameter in the above non-target control parameter. Specifically, data such as flood and landslide are acquired by using a GIS (geographic information system), rasterization is performed, and flood grades, landslide grades and the like (N) of each xy coordinate position are obtainedin)。
S24, calculating to obtain the natural risk level of the sub-area according to a preset natural risk level calculation formula, the weight value of each natural risk category, the weight value of each natural risk sub-category and the natural disaster level information of the sub-area.
Specifically, the above weight values are normalized to obtain a normalized weight value win of each category or sub-category. When the weight value of each natural risk sub-category is normalized, the weight value of the natural risk sub-category corresponding to the natural risk sub-category may be the weight value of the natural risk sub-category, so that the normalized weight value of the natural risk sub-category may be obtained. For the weight value of the natural risk category, the weight value of the natural risk category may be directly used as the normalized weight value of the natural risk category.
Then, calculating to obtain the natural risk level of each sub-area by using a preset natural risk level calculation formula, wherein the preset natural risk level (AHPf)xyWhere xy is a sub-region) is calculated as:
Figure BDA0002578681410000091
where win is the normalized weight value, N, of each natural risk category or natural risk subcategoryinA rating for each natural risk category or natural risk subcategory for natural risk. For example, if the normalized weighted value is the disaster-causing factor (0.5), the disaster-bearing environment (0.3), and the disaster-bearing body (0.2), the disaster-causing factor is 2, the disaster-bearing environment is 3, and the disaster-bearing body is 2, the preset natural risk level is 2.3(0.5 + 2.3 + 3+ 0.2). The subclass flood (0.25), landslide (0.15) and earthquake (0.1) of the normalized weighted value disaster-causing factor is of grade 2; the subcategory elevation (0.25), the gradient (0.15) and the river network density (0.1) of the disaster-bearing environment are in a grade of 3; the sub-category land type (0.25), population density (0.15) and average land GDP (0.1) of the disaster-bearing body are of grade 2; the preset natural risk score is 2.3(0.25 x 2+0.15 x 2+0.1 x 2+0.25 x 3+0.15 x 3+0.1 x 3+0.25 x 2+0.15 x 2+0.1 x 2).
In this embodiment, when calculating the natural risk level of each sub-region in the target region, various natural disaster factors and natural disaster levels are considered, and the considered data is comprehensive, so that the accuracy of the natural level of the sub-region obtained through analysis is high.
The foregoing embodiment describes a process for calculating a natural risk level of each sub-area in the target area, and now describes a process for determining a pollution level value of the gas gathering station, specifically, referring to fig. 3, a process for calculating a pollution level value of the gas gathering station may include:
s31, acquiring parameter information of a gas gathering station and pollution monitoring information of each pollution monitoring point in a plurality of pollution monitoring points corresponding to the gas gathering station.
In practical applications, the gas gathering station is a key component in a gas field gathering and transportation system, and the location of the gas gathering station is an important problem for designers. Since the diffusion of gases from a header may contaminate the surrounding environment, it is a trend to consider environmental and economic factors in selecting a header.
Parameter information of the header, such as the location of the header and meteorological parameters (especially wind direction and speed) are the main factors determining the pollution concentration, and the pollution distribution of the study area will vary according to the location of the header. The diffusion of gas in the atmosphere is assumed to be the diffusion of a continuous point emission source on the ground.
The method adopts a Gaussian smoke plume model to evaluate the total pollutant concentration of each air pollution monitoring point (monitoring point for short, or pollution monitoring point) so as to evaluate the air pollution degree of the gas gathering station site to the surrounding environment monitoring point. In practical application, the gas gathering station has gas emission in the normal operation process, and can cause environmental pollution, so a plurality of positions are required to be selected near the gas gathering station as pollution monitoring points, the air quality of each pollution monitoring point is calculated, and the weighted air quality is used for evaluating the pollution degree of the gas gathering station to the surrounding environment. Therefore, in the embodiment, the total pollutant concentration of each pollution monitoring point is evaluated by adopting a gaussian smoke plume model, so that the air pollution degree of the gas gathering station site selection to the surrounding environment monitoring points is evaluated.
Figure BDA0002578681410000101
In the above formula, p represents a pollution monitoring point, g represents a gas gathering station, Np is a position set of the pollution monitoring point, Ng is a position set of the gas gathering station, Cp,gThe gas collecting station pollutes the pollutant concentration Q of the monitoring point p when being arranged at the point ggThe mass flow rate, U, of natural gas emptied by the gas station set at point gp,gThe free wind speed of a pollution monitoring point p when the gas collecting station is arranged at a point g, H is the height of an emptying tower of the gas collecting station, and yp,gWhen the gas collecting station is arranged at the g point, the space y-direction coordinate, z of the pollution monitoring point p isp,gWhen the gas collecting station is arranged at the g point, the space z-direction coordinate of the monitoring point p is polluted, and the g point is taken as the space origin, sigmayp,gAnd σzp,gIs the standard deviation of the contamination monitor point p in the horizontal y-direction and z-direction.
Figure BDA0002578681410000111
Figure BDA0002578681410000112
In the above formula, xp,gIs the spatial x-direction coordinate of the pollution monitoring point p when the gas gathering station is arranged at the point g.
Figure BDA0002578681410000113
In the above formula, GPMCg is the air pollution degree of all pollution monitoring points p when the gas gathering station is arranged at the point g, and omegapIs the weight of the p monitoring points, representing the severity of the contamination level at that point.
In the embodiment, the air pollution degree of the gas gathering station site to the surrounding environment monitoring points is evaluated by evaluating the total pollutant concentration of each pollution monitoring point, so that the environmental pollution factors are considered in the subsequent construction of the gas field gathering and transportation system, and the constructed gas field gathering and transportation system has small influence on the environmental pollution.
In the above embodiments, referring to the gas field gathering and transportation model, the process of obtaining the pre-constructed gas field gathering and transportation model is now described, specifically, in practical applications, the step S11 may include:
1) acquiring a target function in a pre-constructed gas field gathering and transportation model; the target function comprises target control parameters and non-target control parameters of the gas field gathering and transportation system; the target control parameters are parameters used for building the gas field gathering and transportation system in a target area; the non-target control parameter includes environmental information of the target area.
In this embodiment, the gas field gathering and transportation model is composed of an objective function and a constraint condition.
(1) Objective function
The objective function considers economy and environmental risk and consists of three parts, namely pipeline construction cost and risk, valve bank construction cost and risk and gas gathering station construction cost and risk. And converting risk factors into cost by adopting an index method. Thus, the objective function is as follows:
Figure BDA0002578681410000114
in the above formula, U represents the spatial position set of the gas gathering station and the valve block; Δ represents a spatial connection relationship; k is the station arrangement level; m iskThe number of kth-stage sites; when k is 1, then mk-1=m0Representing the number of gas wells; a. thekjiRepresenting the connection relation between the j site of the kth level and the i site of the kth-1 level, wherein the value is 1 when the nodes are connected, and the value is 0 when the nodes are not connected; l iskjiRepresenting the length of a pipeline between a node j and a node i, and taking three-dimensional terrain and obstacles into consideration, wherein the length is a distance function; cPipelineRepresents the cost per unit length of the pipeline; n is a radical ofkjWhether a kth-level j site is built or not is indicated, the value is 1 when the kth-level j site is built, and the value is 0 when the kth-level j site is not built; cmanifoldThe cost of the valve group is shown; cCPFRepresenting the manufacturing cost of the gas gathering station; AVEAHPfp represents an environmental risk averaging factor for a pipe path through region; AHPfm represents the environmental risk factor of the position of the valve group; AHPfg represents the environmental risk factor of the location of the gas gathering station; AVEAHPfp, AHPfm, AHPfg are the natural risk grade of the above sub-region; GPMCg represents the air pollution degree of the gas gathering station to the surrounding environment at the g point, namely the pollution degree value of the gas gathering station; alpha, beta, gamma and lambda respectively represent a pipeline risk weight factor, a valve bank risk weight factor, a gas gathering station risk weight factor and a gas gathering station air pollution weight factor.
2) Acquiring constraint conditions in a pre-constructed gas field gathering and transportation model; the constraint is determined according to the non-target parameter.
(2) Constraint conditions
The constraint conditions in the overall layout optimization model of the multi-stage star-shaped pipe network mainly comprise membership constraint, gas collection radius constraint, well type constraint and throughput constraint.
Membership constraints are that each high level node can simultaneously connect multiple low level nodes, while each low level node can only connect a unique high level node.
Figure BDA0002578681410000121
The gas collection radius constraint, i.e. the distance between the stations of different classes, cannot exceed the maximum limit.
LkjiAkji≤Rk,j=1,2,...,mk;k=1,2,...,K (3)
In the formula, RkRepresenting the gathering radius of the kth stage.
Well constraint, i.e., the secondary sites under the jurisdiction of each high-level site, is within a certain range.
Figure BDA0002578681410000122
In the formula (I), the compound is shown in the specification,
Figure BDA0002578681410000123
represents the minimum value of the subordinate low-level sites of the kth-level j site;
Figure BDA0002578681410000124
and represents the maximum value of the subordinate low-level sites of the k-th-level j site.
And the treatment capacity constraint means that the treatment capacity of each stage of site is within a certain range, so that the balanced distribution of the gas production is ensured.
Figure BDA0002578681410000131
In the formula (I), the compound is shown in the specification,
Figure BDA0002578681410000132
is the minimum value of gas throughput of the kth stage j site, m3/d;
Figure BDA0002578681410000133
Is the maximum value of gas throughput of the kth j-site, m3/d。
Spatial distance constraints are used to express routes between two points.
Figure BDA0002578681410000134
The variable value constraint is used to constrain the value range of the binary variable.
Akji∈{0,1},(i=1,2,...mk-1;j=1,2,...,mk;k=1,2,...,K) (7)
Nkj∈{0,1},(j=1,2,...,mk;k=1,2,...,K) (8)
Compared with the existing gas field gathering and transportation model, the gas field gathering and transportation model has the advantages that environmental risks in pipeline planning and air pollution factors in station site selection of a gas station are considered, the economy and the risks are comprehensively considered, the actual situation of a gas field gathering and transportation system can be reflected, increasing environmental protection regulations and future gathering and transportation system design ideas are met, the optimal gathering and transportation system design scheme can be obtained through terrain parameters, economic parameters and technical parameters, the engineering construction of the oil and gas field can be guided, and the cost and the efficiency are reduced.
By the method for determining the framework parameters of the gas field gathering and transportation system, the parameters used for building the gas field gathering and transportation system in the target area can be determined, so that the gas field gathering and transportation system can be built according to the parameters, and the structure of the gas field gathering and transportation system is shown in fig. 5. The natural gas flows out of a well site, finally enters a gas gathering station through a multi-stage valve group, and is treated in the gas gathering station, wherein the treatment comprises the operations of deacidification, dehydration, gas emptying and the like.
The gathering and transporting system has the characteristics of wide coverage range and high risk of transporting media. Therefore, risk factors are comprehensively considered according to the method for determining the architecture parameters of the gas field gathering and transportation system, the pipeline route is reasonably planned, the construction cost can be reduced, the operation loss is reduced, the safety and the reliability are improved, and the damage to the surrounding environment is reduced.
Optionally, on the basis of the above embodiment of the method for determining the architecture parameter of the gas field gathering system, another embodiment of the present invention provides an apparatus for determining the architecture parameter of the gas field gathering system, and referring to fig. 5, the apparatus may include:
the model acquisition module 11 is used for acquiring a gas field gathering and transportation model which is constructed in advance; the gas field gathering and transporting model comprises target control parameters and non-target control parameters of a gas field gathering and transporting system; the target control parameters are parameters used for building the gas field gathering and transportation system in a target area; the non-target control parameters comprise basic parameters and environment parameters used for representing environment information of the target area;
a parameter value obtaining module 12, configured to obtain a parameter value of the non-target control parameter;
a result obtaining module 13, configured to obtain a model calculation result of the gas field gathering and transportation model according to the parameter value of the non-target control parameter; the model calculation result includes a parameter value of the target control parameter.
Further, the environmental parameters include: a natural risk level for each sub-region in the target region;
the device further comprises: a risk calculation module, the risk calculation module comprising:
the category acquisition submodule is used for acquiring a plurality of natural risk categories; each of the natural risk categories includes a plurality of natural risk subcategories;
the weight obtaining submodule is used for obtaining a weight value of each natural risk category and a weight value of each natural risk subcategory;
the grade acquisition submodule is used for acquiring natural disaster grade information of the subareas in the environment information of the target area;
and the level calculation submodule is used for calculating to obtain the natural risk level of the sub-area according to a preset natural risk level calculation formula, the weight value of each natural risk category, the weight value of each natural risk sub-category and the natural disaster level information of the sub-area.
Further, the environmental parameters include: a pollution degree value of the gas collecting station;
the device further comprises: a contamination level calculation module, the contamination level calculation module comprising:
the parameter acquisition submodule is used for acquiring parameter information of a gas gathering station and pollution monitoring information of each pollution monitoring point in a plurality of pollution monitoring points corresponding to the gas gathering station;
and the pollution degree calculation submodule is used for calculating to obtain a gas gathering station pollution degree value of the gas gathering station according to a preset gas gathering station pollution degree calculation formula, the parameter information of the gas gathering station and the pollution monitoring information of each pollution monitoring point.
Further, the model obtaining module is specifically configured to:
acquiring a target function in a pre-constructed gas field gathering and transportation model; the target function comprises target control parameters and non-target control parameters of the gas field gathering and transportation system; the target control parameters are parameters used for building the gas field gathering and transportation system in a target area; the non-target control parameters include environmental information of the target area;
acquiring constraint conditions in a pre-constructed gas field gathering and transportation model; the constraint is determined according to the non-target parameter.
Further, the result obtaining module is specifically configured to:
solving the gas field gathering and transportation model by adopting a preset solving algorithm according to the parameter values of the non-target control parameters to obtain a model calculation result;
the model calculation result comprises parameter values of the target control parameters; the target control parameters comprise construction cost information of the gas field gathering and transportation system, gas gathering station position information in the gas field gathering and transportation system, valve group position information, pipe network connection information and pipeline paths.
In this embodiment, the pre-constructed gas field gathering and transportation model includes non-target control parameters, the non-target control parameters include a basic parameter and an environmental parameter representing environmental information of a target area where the gas field gathering and transportation system is built, and then a model calculation result of the gas field gathering and transportation model is calculated according to parameter values of the non-target control parameters, and the model calculation result includes parameter values of the target control parameters. In other words, in the process of determining the output result of the gas field gathering and transportation model, the parameter representing the environmental information of the target area is added into the non-target control parameter, that is, when the parameter value of the target control parameter is calculated, the influence of the environmental information of the target area of the gas field gathering and transportation system is considered, and then the parameter value of the target control parameter obtained by solving better meets the environmental requirement of the target area.
Further, compared with the existing gas field gathering and transportation model, the method and the device consider environmental risks in pipeline planning and air pollution factors in station site selection of the gas station, comprehensively consider economy and risks, can reflect the actual conditions of the gas field gathering and transportation system, meet increasing environmental protection regulations and future gathering and transportation system design ideas, can obtain the optimal gathering and transportation system design scheme through topographic parameters, economic parameters and technical parameters, can guide engineering construction of the oil and gas field, reduce cost and improve efficiency.
It should be noted that, for the working processes of each module and sub-module in this embodiment, please refer to the corresponding description in the above embodiments, which is not described herein again.
Optionally, on the basis of the above embodiments of the method and apparatus for determining the architecture parameters of the gas field gathering and transportation system, another embodiment of the present invention provides an electronic device, including: a memory and a processor;
wherein the memory is used for storing programs;
the processor calls a program and is used to:
acquiring a pre-constructed gas field gathering and transportation model; the gas field gathering and transporting model comprises target control parameters and non-target control parameters of a gas field gathering and transporting system; the target control parameters are parameters used for building the gas field gathering and transportation system in a target area; the non-target control parameters comprise basic parameters and environment parameters used for representing environment information of the target area;
acquiring parameter values of the non-target control parameters;
obtaining a model calculation result of the gas field gathering and transportation model according to the parameter value of the non-target control parameter; the model calculation result includes a parameter value of the target control parameter.
Further, the environmental parameters include: a natural risk level for each sub-region in the target region;
the calculation process of the natural risk level comprises the following steps:
obtaining a plurality of natural risk categories; each of the natural risk categories includes a plurality of natural risk subcategories;
acquiring a weight value of each natural risk category and a weight value of each natural risk subcategory;
acquiring natural disaster grade information of the sub-area in the environment information of the target area;
and calculating to obtain the natural risk level of the sub-area according to a preset natural risk level calculation formula, the weight value of each natural risk category, the weight value of each natural risk sub-category and the natural disaster level information of the sub-area.
Further, the environmental parameters include: a pollution degree value of the gas collecting station;
the calculation process of the pollution degree value of the gas gathering station comprises the following steps:
acquiring parameter information of a gas gathering station and pollution monitoring information of each pollution monitoring point in a plurality of pollution monitoring points corresponding to the gas gathering station;
and calculating to obtain a gas gathering station pollution degree value of the gas gathering station according to a preset gas gathering station pollution degree calculation formula, the parameter information of the gas gathering station and the pollution monitoring information of each pollution monitoring point.
Further, acquiring a pre-constructed gas field gathering and transportation model, comprising:
acquiring a target function in a pre-constructed gas field gathering and transportation model; the target function comprises target control parameters and non-target control parameters of the gas field gathering and transportation system; the target control parameters are parameters used for building the gas field gathering and transportation system in a target area; the non-target control parameters include environmental information of the target area;
acquiring constraint conditions in a pre-constructed gas field gathering and transportation model; the constraint is determined according to the non-target parameter.
Further, obtaining a model calculation result of the gas field gathering and transportation model according to the parameter value of the non-target control parameter, including:
solving the gas field gathering and transportation model by adopting a preset solving algorithm according to the parameter values of the non-target control parameters to obtain a model calculation result;
the model calculation result comprises parameter values of the target control parameters; the target control parameters comprise construction cost information of the gas field gathering and transportation system, gas gathering station position information in the gas field gathering and transportation system, valve group position information, pipe network connection information and pipeline paths.
In this embodiment, the pre-constructed gas field gathering and transportation model includes non-target control parameters, the non-target control parameters include a basic parameter and an environmental parameter representing environmental information of a target area where the gas field gathering and transportation system is built, and then a model calculation result of the gas field gathering and transportation model is calculated according to parameter values of the non-target control parameters, and the model calculation result includes parameter values of the target control parameters. In other words, in the process of determining the output result of the gas field gathering and transportation model, the parameter representing the environmental information of the target area is added into the non-target control parameter, that is, when the parameter value of the target control parameter is calculated, the influence of the environmental information of the target area of the gas field gathering and transportation system is considered, and then the parameter value of the target control parameter obtained by solving better meets the environmental requirement of the target area.
Further, compared with the existing gas field gathering and transportation model, the method and the system consider environmental risks in pipeline planning and air pollution factors in station site selection of the gas station, comprehensively consider economy and risks, can reflect the actual situation of the gas field gathering and transportation system, meet increasing environmental protection regulations and future gathering and transportation system architecture determination ideas, can obtain an optimal gathering and transportation system architecture determination scheme through topographic parameters, economic parameters and technical parameters, can guide engineering construction of the oil and gas field, and reduce cost and increase efficiency.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A method of determining architectural parameters of a gas field gathering system, comprising:
acquiring a pre-constructed gas field gathering and transportation model; the gas field gathering and transporting model comprises target control parameters and non-target control parameters of a gas field gathering and transporting system; the target control parameters are parameters used for building the gas field gathering and transportation system in a target area; the non-target control parameters comprise basic parameters and environment parameters used for representing environment information of the target area;
acquiring parameter values of the non-target control parameters;
obtaining a model calculation result of the gas field gathering and transportation model according to the parameter value of the non-target control parameter; the model calculation result includes a parameter value of the target control parameter.
2. The method of claim 1, wherein the environmental parameters comprise: a natural risk level for each sub-region in the target region;
the calculation process of the natural risk level comprises the following steps:
obtaining a plurality of natural risk categories; each of the natural risk categories includes a plurality of natural risk subcategories;
acquiring a weight value of each natural risk category and a weight value of each natural risk subcategory;
acquiring natural disaster grade information of the sub-area in the environment information of the target area;
and calculating to obtain the natural risk level of the sub-area according to a preset natural risk level calculation formula, the weight value of each natural risk category, the weight value of each natural risk sub-category and the natural disaster level information of the sub-area.
3. The method of claim 1, wherein the environmental parameters comprise: a pollution degree value of the gas collecting station;
the calculation process of the pollution degree value of the gas gathering station comprises the following steps:
acquiring parameter information of a gas gathering station and pollution monitoring information of each pollution monitoring point in a plurality of pollution monitoring points corresponding to the gas gathering station;
and calculating to obtain a gas gathering station pollution degree value of the gas gathering station according to a preset gas gathering station pollution degree calculation formula, the parameter information of the gas gathering station and the pollution monitoring information of each pollution monitoring point.
4. The method of claim 1, wherein obtaining a pre-constructed gas field gathering model comprises:
acquiring a target function in a pre-constructed gas field gathering and transportation model; the target function comprises target control parameters and non-target control parameters of the gas field gathering and transportation system; the target control parameters are parameters used for building the gas field gathering and transportation system in a target area; the non-target control parameters include environmental information of the target area;
acquiring constraint conditions in a pre-constructed gas field gathering and transportation model; the constraint is determined according to the non-target parameter.
5. The method of claim 1, wherein obtaining model calculations of the gas field gathering model based on the parameter values of the non-target control parameters comprises:
solving the gas field gathering and transportation model by adopting a preset solving algorithm according to the parameter values of the non-target control parameters to obtain a model calculation result;
the model calculation result comprises parameter values of the target control parameters; the target control parameters comprise construction cost information of the gas field gathering and transportation system, gas gathering station position information in the gas field gathering and transportation system, valve group position information, pipe network connection information and pipeline paths.
6. An apparatus for determining architectural parameters of a gas field gathering system, comprising:
the model acquisition module is used for acquiring a gas field gathering and transportation model which is constructed in advance; the gas field gathering and transporting model comprises target control parameters and non-target control parameters of a gas field gathering and transporting system; the target control parameters are parameters used for building the gas field gathering and transportation system in a target area; the non-target control parameters comprise basic parameters and environment parameters used for representing environment information of the target area;
the parameter value acquisition module is used for acquiring the parameter value of the non-target control parameter;
the result acquisition module is used for acquiring a model calculation result of the gas field gathering and transportation model according to the parameter value of the non-target control parameter; the model calculation result includes a parameter value of the target control parameter.
7. The apparatus of claim 6, wherein the environmental parameters comprise: a natural risk level for each sub-region in the target region;
the device further comprises: a risk calculation module, the risk calculation module comprising:
the category acquisition submodule is used for acquiring a plurality of natural risk categories; each of the natural risk categories includes a plurality of natural risk subcategories;
the weight obtaining submodule is used for obtaining a weight value of each natural risk category and a weight value of each natural risk subcategory;
the grade acquisition submodule is used for acquiring natural disaster grade information of the subareas in the environment information of the target area;
and the level calculation submodule is used for calculating to obtain the natural risk level of the sub-area according to a preset natural risk level calculation formula, the weight value of each natural risk category, the weight value of each natural risk sub-category and the natural disaster level information of the sub-area.
8. The apparatus of claim 6, wherein the environmental parameters comprise: a pollution degree value of the gas collecting station;
the device further comprises: a contamination level calculation module, the contamination level calculation module comprising:
the parameter acquisition submodule is used for acquiring parameter information of a gas gathering station and pollution monitoring information of each pollution monitoring point in a plurality of pollution monitoring points corresponding to the gas gathering station;
and the pollution degree calculation submodule is used for calculating to obtain a gas gathering station pollution degree value of the gas gathering station according to a preset gas gathering station pollution degree calculation formula, the parameter information of the gas gathering station and the pollution monitoring information of each pollution monitoring point.
9. The apparatus of claim 6, wherein the model acquisition module is specifically configured to:
acquiring a target function in a pre-constructed gas field gathering and transportation model; the target function comprises target control parameters and non-target control parameters of the gas field gathering and transportation system; the target control parameters are parameters used for building the gas field gathering and transportation system in a target area; the non-target control parameters include environmental information of the target area;
acquiring constraint conditions in a pre-constructed gas field gathering and transportation model; the constraint is determined according to the non-target parameter.
10. An electronic device, comprising: a memory and a processor;
wherein the memory is used for storing programs;
the processor calls a program and is used to:
acquiring a pre-constructed gas field gathering and transportation model; the gas field gathering and transporting model comprises target control parameters and non-target control parameters of a gas field gathering and transporting system; the target control parameters are parameters used for building the gas field gathering and transportation system in a target area; the non-target control parameters comprise basic parameters and environment parameters used for representing environment information of the target area;
acquiring parameter values of the non-target control parameters;
obtaining a model calculation result of the gas field gathering and transportation model according to the parameter value of the non-target control parameter; the model calculation result includes a parameter value of the target control parameter.
CN202010661410.6A 2020-07-10 2020-07-10 Method and related device for determining architecture parameters of gas field gathering and transportation system Pending CN111815174A (en)

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Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20060002324A (en) * 2004-07-01 2006-01-09 박옥현 Decision support system for air pollution source planning: apspdss
US20110295575A1 (en) * 2010-05-28 2011-12-01 Levine David A System and method for geomatic modeling of a diverse resource base across broad landscapes
CN102495935A (en) * 2011-12-15 2012-06-13 中国石油天然气集团公司 Determination method for risk of storage medium leakage of underground natural gas storage reservoir
CN104636585A (en) * 2013-11-15 2015-05-20 中国石油天然气集团公司 Environment risk quantitative management method of oil gas long-distance pipeline
CN105760564A (en) * 2014-12-19 2016-07-13 中国石油天然气股份有限公司 Method and device for analyzing oil-string casing failure
CN106650995A (en) * 2016-10-13 2017-05-10 中国能源建设集团广东省电力设计研究院有限公司 Energy planning and strategy support system under energy conservation and emission reduction goals
CN107886182A (en) * 2016-09-30 2018-04-06 中国石油化工股份有限公司 Oilfield transportation system Optimization Design and device
CN108197768A (en) * 2018-04-02 2018-06-22 厦门大学 A kind of energy resource system and external channeling combined optimization method
CN109409719A (en) * 2018-10-17 2019-03-01 西南石油大学 A kind of lower long-distance oil & gas pipeline vulnerability assessment method of landslide effect
CN109711106A (en) * 2019-02-01 2019-05-03 中国石油大学(北京) A kind of collection transmission pipe network optimization method and device
CN109784732A (en) * 2019-01-18 2019-05-21 西南交通大学 A kind of multiple attributive decision making method of energy internet security assessment
CN110298523A (en) * 2018-03-22 2019-10-01 中国石油化工股份有限公司 A kind of oil-gas gathering and transportation station library lightning protection comprehensive ability evaluation method
CN110535120A (en) * 2019-08-16 2019-12-03 华南理工大学 Consider the interconnection system distributed Optimization Scheduling of electric-gas of air pollution diffusion
CN110705766A (en) * 2019-09-25 2020-01-17 中国石油大学(北京) Optimization method and device for gas field gathering and transportation system
CN111191959A (en) * 2020-01-08 2020-05-22 中国石油大学(华东) Long-distance natural gas pipeline derivative disaster evaluation system and method

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20060002324A (en) * 2004-07-01 2006-01-09 박옥현 Decision support system for air pollution source planning: apspdss
US20110295575A1 (en) * 2010-05-28 2011-12-01 Levine David A System and method for geomatic modeling of a diverse resource base across broad landscapes
CN102495935A (en) * 2011-12-15 2012-06-13 中国石油天然气集团公司 Determination method for risk of storage medium leakage of underground natural gas storage reservoir
CN104636585A (en) * 2013-11-15 2015-05-20 中国石油天然气集团公司 Environment risk quantitative management method of oil gas long-distance pipeline
CN105760564A (en) * 2014-12-19 2016-07-13 中国石油天然气股份有限公司 Method and device for analyzing oil-string casing failure
CN107886182A (en) * 2016-09-30 2018-04-06 中国石油化工股份有限公司 Oilfield transportation system Optimization Design and device
CN106650995A (en) * 2016-10-13 2017-05-10 中国能源建设集团广东省电力设计研究院有限公司 Energy planning and strategy support system under energy conservation and emission reduction goals
CN110298523A (en) * 2018-03-22 2019-10-01 中国石油化工股份有限公司 A kind of oil-gas gathering and transportation station library lightning protection comprehensive ability evaluation method
CN108197768A (en) * 2018-04-02 2018-06-22 厦门大学 A kind of energy resource system and external channeling combined optimization method
CN109409719A (en) * 2018-10-17 2019-03-01 西南石油大学 A kind of lower long-distance oil & gas pipeline vulnerability assessment method of landslide effect
CN109784732A (en) * 2019-01-18 2019-05-21 西南交通大学 A kind of multiple attributive decision making method of energy internet security assessment
CN109711106A (en) * 2019-02-01 2019-05-03 中国石油大学(北京) A kind of collection transmission pipe network optimization method and device
CN110535120A (en) * 2019-08-16 2019-12-03 华南理工大学 Consider the interconnection system distributed Optimization Scheduling of electric-gas of air pollution diffusion
CN110705766A (en) * 2019-09-25 2020-01-17 中国石油大学(北京) Optimization method and device for gas field gathering and transportation system
CN111191959A (en) * 2020-01-08 2020-05-22 中国石油大学(华东) Long-distance natural gas pipeline derivative disaster evaluation system and method

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