CN111852466A - Method for shale gas well scale production allocation and pipe network operation optimization - Google Patents
Method for shale gas well scale production allocation and pipe network operation optimization Download PDFInfo
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Abstract
The invention provides a method for shale gas well scale production allocation and pipe network operation optimization, which is based on a shale gas production system, firstly establishing a typical shale gas well yield-pressure decreasing model, inputting corresponding batch well daily data according to a formulated production allocation plan, and establishing or updating a pipe network simulation model so as to establish or update a pipe network flow model; then, rapidly predicting the operation capacity of the pipe network based on the pipe network flow model, updating the node information of the pipe network flow model, comparing the updated node information with a threshold value set in the shale gas production system, and performing risk early warning; according to risk early warning, when a plan or a pipe network needs to be adjusted, an optimization strategy is adopted to form a recommended adjustment scheme containing a production allocation plan and the operation capacity of the pipe network, then the recommended adjustment scheme is simulated based on a pipe network flow model, and finally the optimal recommended adjustment scheme is selected according to a simulation result. The invention can help managers to quickly obtain the most reasonable matching production plan and the optimized pipe network configuration.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method for scale production allocation and pipe network operation optimization of a shale gas well.
Background
Shale gas, an unconventional natural gas resource, is changing the international energy market landscape. The shale gas ground engineering design and construction are different from the conventional natural gas field; the method mainly has the following key problems: firstly, the construction of gas field ground engineering needs to be matched with underground resource conditions; secondly, the design scale of the ground gathering and transportation system is difficult to reasonably determine; thirdly, the design of a gathering and transportation network, site selection of a station yard and arrangement of facilities can be followed without specification; fourthly, the problem of pressurized mining needs to be considered in the initial design stage; the ground process needs standardization and modular design; and sixthly, the ground engineering design needs special consideration of the treatment of the return liquid.
At present, shale gas wells are reasonably produced in a single well based on the geological characteristics of a single well in a subarea and combined with the characteristics of a drilling process and a fracturing process and the historical production condition. However, because the production characteristics of shale gas wells change rapidly and have large differences, and the dynamic requirements of the operation of a pipe network change along with the changes, it is important to actively optimize the pipe network conditions, make a reasonable production allocation plan and ensure the safe, stable and efficient operation of a production system.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for shale gas well scale production allocation and pipe network operation optimization, which links shale gas well production dynamic simulation, scale production allocation and pipe network model optimization, on one hand, the operation capacity of a pipe network can be analyzed based on a pipe network flow model to help a manager obtain a production allocation plan matched with the operation capacity of the pipe network, and on the other hand, the operation state of the pipe network can be simulated according to the production allocation plan to help the manager obtain a pipe network operation scheme matched with the production allocation plan.
The technical scheme adopted by the invention is as follows:
a method for shale gas well scale production allocation and pipe network operation optimization is based on a shale gas production system, a typical shale gas well yield-pressure decreasing model is established, batch well daily data in a production allocation time range are input according to a formulated production allocation plan, a pipe network simulation model is established or updated, and therefore a pipe network flow model is established or updated; then, rapidly predicting the pipe network operation capacity including the daily output and the pressure of the shale gas production system based on a pipe network flow model, rapidly updating the node information of the pipe network flow model, comparing the updated node information with a threshold set in the shale gas production system, and performing risk early warning; according to risk early warning, when a plan or a pipe network needs to be adjusted, a recommended adjustment scheme comprising a production allocation plan and a pipe network operation capacity is formed by adopting an optimization strategy, the recommended adjustment scheme is simulated based on a pipe network flow model, and then the most reasonable production allocation plan and the optimized pipe network configuration corresponding to the optimal recommended adjustment scheme are selected according to a simulation result.
The planned allocation plan (namely the initially formulated allocation plan) is input into a pipe network simulation model through the daily data of the batch wells within the allocation time range, the predicted allocation plan (namely the execution result of the predicted allocation plan) is obtained through the pipe network operation state simulated by the pipe network flow model, and the risk early warning is carried out by comparing the execution result of the predicted allocation plan with the initially formulated allocation plan.
Wherein, the daily data of the batch wells within the production allocation time range is used for reflecting the proposed production allocation plan; and the pipe network configuration is used for reflecting the operation capacity of the pipe network. In the invention, the running state of the pipe network is simulated through the pipe network flow model, and the pipe network flow model is established through the pipe network simulation model based on the pipe network model, so that the pipe network configuration in the invention refers to a configuration scheme of a real pipe network corresponding to the pipe network model, the pipe network simulation model and the pipe network flow model, but in order to predict the running capacity of the pipe network according to the configuration scheme of the real pipe network, the configuration scheme of the real pipe network needs to be embodied through the pipe network model of the pipe network, which comprises platform, compressor, pipeline and separator information. Common pipe network configuration adjustment methods include: newly-added compressors, newly-added separators, pipe network reconstruction and expansion, pipe cleaning and the like.
On the other hand, the pipe network flow model is provided with two main inputs of batch well daily data and pipe network configuration information within the production allocation time range, and is also provided with one main output of a forecast production allocation plan. Therefore, when the deviation between the predicted production allocation plan and the proposed production allocation plan exceeds a set threshold, the method can adjust the daily data of the batch wells or the pipe network configuration information within the production allocation time range or adjust the two-way input method simultaneously. Adjusting the predicted allocation plan so as to reduce risks and enable a manager to obtain pipe network configuration information adaptive to the proposed allocation plan; or, based on the fact that the existing pipe network is not changed, the risk is reduced by adjusting the distribution plan, and a manager can obtain the distribution plan adaptive to the pipe network configuration information.
When the daily data of the batch wells reflecting the planned allocation plan is changed, the running state of the pipe network is not changed
Further, the method for shale gas well scale production allocation and pipe network operation optimization specifically comprises the following steps:
step S100: establishing various typical shale gas well pressure-yield decreasing models according to the classification of the sub-well regions;
step S200: inputting batch well daily data including new well single well mouth gas production, old well single well mouth gas production, new well single well mouth pressure, old well single well mouth pressure, compressor compression ratio, output pressure, external gas source gas quantity and single well water-gas ratio within a production allocation time range according to a formulated production allocation plan;
step S300: establishing or updating a Pipesim pipe network model comprising information of a platform, a compressor, a pipeline and a separator;
the method comprises the following steps of updating a Pipesim pipe network model through information of a debugging platform, a compressor, a pipeline and a separator;
step S400: according to the batch well daily data collected in the step S200 and the pipeline network model built or updated in the step S300, building or updating a pipeline network simulation model from a well mouth to an output point, so that a pipeline network flow model used for simulating the operation state of a pipeline network of the shale gas production system is built or updated, and a simulation production system is formed;
step S500: firstly, calculating the daily output and pressure of the positions of a wellhead, a platform, a gas collecting station and a central station in the shale gas production system based on the flow state of gas-water two-phase flow in a pipe network flow model to update the node information of the pipe network flow model, comparing the updated node information with a set threshold value in the shale gas production system, and carrying out risk early warning;
the risk intensity level for risk early warning is divided according to the number of days for risk prompt of node information of the pipe network flow model in the current month; if the simulation production system feeds back the risk-free level, the current allocation plan and the pipe network operation model are the most reasonable allocation plan and the optimized pipe network operation capacity, and the step S800 is directly skipped; if the simulation production system feeds back the risk level, skipping to the step S600;
step S600: according to the content of risk early warning, adopting an optimization strategy to form a recommended adjustment scheme comprising two adjustment objects of a distribution plan and a pipe network operation capacity;
step S700: based on a pipe network flow model, simulating a recommended adjustment scheme, comparing and selecting from three main aspects of system safety, economic feasibility and production organization efficiency, selecting an optimal recommended adjustment scheme, and helping a manager obtain the most reasonable production allocation plan and the optimal pipe network configuration corresponding to the optimal recommended adjustment scheme;
step S800: and (6) ending.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
(1) according to the invention, on one hand, the operation capacity of the pipe network can be analyzed based on the pipe network flow model to help a manager to obtain a distribution plan matched with the operation capacity of the pipe network, and on the other hand, the operation state of the pipe network can be simulated according to the distribution plan to help the manager to obtain a pipe network operation scheme matched with the distribution plan;
(2) the invention forms a method for establishing and applying a pipe network flow model of a shale gas production system from a wellhead to an output point, and links shale gas well production dynamic simulation, scale production allocation and pipe network optimization to form a gas reservoir-ground integrated workflow platform, thereby realizing the aims of most reasonable production allocation, optimized pipe network operation and most efficient production organization;
(3) according to the invention, through classifying and dividing well regions, various typical shale gas well pressure and yield decreasing models are established, so that the problems of large uncertainty of the initial yield of a new well, inconsistent change characteristics of the yields of an old well and the new well, large scale production allocation data volume of batch wells and low input and output efficiency in a yield model are solved;
(4) according to the method, Excel and Avocet software are combined, and a set of method for rapidly updating node information of a pipe network flow model of a complex shale gas production system is established;
(5) according to the invention, a set of pipe network simulation model is established through Excel, Pipesim and Avocet software, so that automatic closed-loop dynamic updating of shale gas production system pipe network flow simulation is realized, a gas reservoir-ground integrated function is applied to a production allocation plan for the first time, gas-water two-phase flow of the production system under different time, different production allocations, different pipe networks and different working conditions can be simulated, the problems of low scale production allocation efficiency, low updating efficiency and insufficient precision of a complex ground system under the complex dynamic characteristics of a shale gas cluster well and low calculation speed of fast simulation of two-phase flow of the whole system are solved, more efficient and more reasonable gas well scale production allocation is realized, and more intuitive and more flexible pipe network operation monitoring and simulation are realized.
Drawings
In order to more clearly illustrate the technical solution, the drawings needed to be used in the embodiments will be briefly described below, and it should be understood that those skilled in the art can also obtain other related drawings based on the drawings without creative efforts.
Fig. 1 is a schematic specific flow chart of the method for shale gas well scale production allocation and pipe network operation optimization according to the present invention.
Fig. 2 is a schematic specific flow chart of the method for shale gas well scale production allocation and pipe network operation optimization according to the present invention.
FIG. 3 is a representation of a single well to platform correspondence.
FIG. 4 is a diagram of a data verification popup.
FIG. 5 is a schematic diagram of an alarm threshold table.
FIG. 6 is a schematic diagram of gas production data of a single well head of a new well.
FIG. 7 is a schematic diagram of new well single well wellhead pressure data.
FIG. 8 is a table illustrating old well pressure thresholds.
Fig. 9 is a view showing the compression ratio at a daily (monthly) degree.
FIG. 10 is a schematic view of the output pressure gauge measured daily (monthly).
FIG. 11 is a schematic view of a daily (monthly) gas meter for foreign bodies.
Fig. 12 is a water-gas ratio representation of day (month).
FIG. 13 is a diagram of a data update confirmation popup interface.
FIG. 14 is an interface schematic of a workflow simulation calculation run.
FIG. 15 is a schematic view of a visualization interface of a Pipesim pipe network simulation model.
Detailed Description
In order to more clearly illustrate the technical solution of the present invention, the technical solution claimed in the present invention will be clearly and completely described below with reference to the specific embodiments and the accompanying drawings. It is to be understood that the described embodiments are merely a few embodiments of the invention, rather than a full embodiment, and are therefore not to be taken as limiting the scope of protection. 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.
At present, the exploration and development of shale gas resources become a world focus, and researches show that the shale gas resources in the world are huge, and China has abundant shale gas resources. The following is described in detail in connection with an example of the Changning block shale gas field digitizing platform project.
Example 1:
the embodiment discloses a method for shale gas well scale production allocation and pipe network operation optimization, which comprises the steps of firstly establishing a typical shale gas well yield-pressure decreasing model based on a shale gas production system, inputting daily data of batch wells within a production allocation time range according to a formulated production allocation plan, and establishing or updating a pipe network simulation model so as to establish or update a pipe network flow model; then, rapidly predicting the pipe network operation capacity including the daily output and the pressure of the shale gas production system based on a pipe network flow model, rapidly updating the node information of the pipe network flow model, comparing the updated node information with a threshold set in the shale gas production system, and performing risk early warning; according to risk early warning, when a plan or a pipe network needs to be adjusted, a recommended adjustment scheme comprising a production allocation plan and a pipe network operation capacity is formed by adopting an optimization strategy, the recommended adjustment scheme is simulated based on a pipe network flow model, and then the most reasonable production allocation plan and the optimized pipe network configuration corresponding to the optimal recommended adjustment scheme are selected according to a simulation result.
According to the method, a pipe network flow model is established to simulate the shale gas well production dynamics, and pipe network production allocation and pipe network optimization are linked together, so that a gas reservoir-ground integrated workflow platform is formed, and the aims of most reasonable production allocation and pipe network operation optimization are fulfilled.
Compared with the prior art, the method and the device have the advantages that the influence of a ground system (such as a supercharger, a separator, a pipeline, output pressure and other factors) on yield operation can be additionally considered, the mode that the production allocation is carried out from the gas reservoir angle in a one-way mode and a corresponding pipe network is transformed to be matched with the gas reservoir angle in the prior art is not replaced, the dynamic interaction influence of the scale production allocation of the shale gas well and the pipe network operation in different time periods is realized for the first time, the obtained yield plan is more reasonable, the predictability of pipeline operation alarming is increased, the simulation of multiple pipe network reconstruction and expansion schemes can be realized, the simulation efficiency of a complex system is improved, the construction risk and the construction cost are reduced, and the operation efficiency of the whole shale gas well production system is effectively improved.
Example 2:
the embodiment describes a method for shale gas well scale production allocation and pipe network operation optimization in detail on the basis of embodiment 1, and specifically includes the following steps S100 to S800.
Step S100: and establishing various typical shale gas well pressure-yield decreasing models according to the classification of the sub-well regions.
The step S100 specifically refers to establishing various typical shale gas well pressure-yield decreasing models according to the classification of the sub-well regions; the shale gas well pressure-yield decrement model comprises a new well initial yield-pressure change characteristic model and an old well staged yield-pressure change characteristic model; the old well staged yield-pressure change characteristic model is divided into three stages of a yield-pressure initial stage rapid decreasing period, a medium-speed decreasing period and a slow decreasing period.
Further, in the step S100, a plurality of typical shale gas well pressure-yield decreasing models are established according to the classification of the sub-well regions; the shale gas well pressure-yield decrement model comprises a new well initial yield-pressure change characteristic model and an old well staged yield-pressure change characteristic model; the old well staged yield-pressure change characteristic model is divided into three stages of a yield-pressure initial stage rapid decreasing period, a medium-speed decreasing period and a slow decreasing period.
The gas production rate of the single well mouth of the new well, the gas production rate of the single well mouth of the old well and the pressure data of the single well mouth are from a gas reservoir engineer and are combined with the single well geological characteristics, the drilling and fracturing process characteristics and the shale gas exploitation dynamic rule prediction.
Step S200: and inputting batch well daily data comprising the gas production rate of the new well single well mouth, the gas production rate of the old well single well mouth, the pressure of the new well single well mouth, the pressure of the old well single well mouth, the compression ratio of a compressor, the output pressure, the gas quantity of an external gas source and the water-gas ratio of the single well in a production allocation time range according to a formulated production allocation plan by using Excel software.
Step S200 and step S300 are mainly operations for inputting data from the outside to the simulation production system. The customized Excel is characterized in that automatic updating of single wells and platforms and automatic splitting of monthly data to daily data can be achieved, and the problems of large production allocation data volume and low input and output efficiency of batch well scale are effectively solved.
For example: when the simulation production system carries out simulation prediction, batch well daily data needs to be input. The single-well and platform correspondence table shown in fig. 3 is used as an original data record table in an Excel format, wherein data verification import shown in fig. 4 is recorded, and single-well and platform information is updated after the import is successful.
The threshold value for risk-based early warning judgment in step S500 is imported through an alarm threshold value table as shown in fig. 5.
The new well single well wellhead gas production data in the batch well daily data is imported through a new well production decrement table shown in figure 6.
The new single well wellhead pressure data in the batch well daily data is imported through a new well pressure decreasing table as shown in fig. 7.
The table for introducing data includes an old well pressure threshold table shown in fig. 8, a compression ratio table of daily (monthly) degree shown in fig. 9, a pressure gauge of daily (monthly) degree output shown in fig. 10, a gas meter of daily (monthly) degree output shown in fig. 11, and a water-gas ratio table of daily (monthly) degree shown in fig. 12. Since the importing mode of each data is the same, it is not described one by one.
When new data is imported into the simulation production system, the system jumps out of the data update confirmation popup shown in FIG. 13.
Step S300: and establishing or updating a Pipesim pipe network model comprising information of the platform, the compressor, the pipeline and the separator. And updating the Pipesim pipe network model through the debugging platform, the compressor, the pipeline and the separator information.
Step S400: and (4) according to the batch well daily data collected in the step (S200) and the pipeline network model built or updated in the step (S300), building or updating a pipeline network simulation model from a well mouth to an output point, so that a pipeline network flow model for simulating the operation state of the pipeline network of the shale gas production system is built or updated, and a simulation production system is formed. The simulation production system comprises a gas reservoir-ground integrated workflow platform.
In the step S400, a pipe network simulation model from the wellhead to the export point is established or updated according to the batch well daily data collected in the step S200 and the pipeline network model established or updated in the step S300, so that a pipe network flow model for simulating the operation state of the pipe network of the shale gas production system is established or updated, and a simulated production system is formed. The pipe network flow model is automatically matched and updated according to input data and the pipe network simulation model, and the running state of the pipe network is simulated visually and flexibly in real time.
Step S500: firstly, calculating the daily output and pressure of the positions of a wellhead, a platform, a gas collecting station and a central station in the shale gas production system based on the flow state of gas-water two-phase flow in a pipe network flow model to update the node information of the pipe network flow model, comparing the updated node information with a set threshold value in the shale gas production system, and carrying out risk early warning;
the risk intensity level for risk early warning is divided according to the number of days for risk prompt of node information of the pipe network flow model in the current month; if the simulation production system feeds back the risk-free level, the current allocation plan and the pipe network operation model are the most reasonable allocation plan and the optimized pipe network operation capacity, and the step S800 is directly skipped; and if the risk level is fed back by the simulation production system, skipping to the step S600. As shown in fig. 15, the node information of the pipe network flow model is updated, and the updated node information is compared with a threshold set in the shale gas production system, so as to perform risk early warning.
It should be noted that the risk intensity level for risk early warning is divided according to the number of days in which the node information of the pipe network flow model presents risk prompts in the current month; if the simulation production system feeds back the risk-free level, the current allocation plan and the pipe network operation model are the most reasonable allocation plan and the optimized pipe network operation capacity, and the step S800 is directly skipped; and if the risk level is fed back by the simulation production system, skipping to the step S600.
Step S600: and forming a recommended adjustment scheme comprising two adjustment objects of a distribution plan and a pipe network operation capacity by adopting an optimization strategy according to the content of the risk early warning.
The optimization strategies comprise a strategy a, a strategy b and a strategy c;
the strategy a is to perform the planning optimization on the pipe network simulation model only from any one or more of a new compressor, a new separator, a pipe network reconstruction and expansion and a pipe cleaning while keeping the production allocation plan unchanged;
the strategy b is to keep the pipe network simulation model unchanged and only make a planning optimization on a production allocation plan;
and the strategy c is to perform planning optimization on a production allocation plan and a pipe network simulation model at the same time.
Wherein, any one or more of a newly-added compressor, a newly-added separator, a pipe network reconstruction and expansion and a pipe cleaning are generally adopted to carry out the planning optimization on the pipe network simulation model.
In this embodiment, when the risk level is fed back to the simulation production system, a recommended adjustment scheme is formed by using any one of the following three processing methods.
The first method is as follows:
as shown in fig. 1, when the simulation production system feeds back a risk level, only strategy a is adopted, the production allocation plan is kept unchanged, and the simulation model of the pipe network is planned and optimized from any one or more of a new compressor, a new separator, reconstruction and extension of the pipe network and a pigging; namely, keeping the production allocation plan unchanged, and obtaining a pipe network optimization scheme such as a newly-added compressor, a newly-added separator, pipe network reconstruction and expansion, pipe cleaning and the like which are matched; then, sequentially executing the step S200, the step S400 and the step S500, and judging the risk early warning again for the formed adjusting scheme containing the original production allocation plan and the proposed optimized pipe network simulation model; and (4) circulating until an optimal pipe network operation model (namely a pipe network operation scheme) matched with the original fixed production allocation plan is obtained.
The second method comprises the following steps:
as shown in fig. 2, when the simulation production system feeds back a risk level, only strategy b is adopted, the pipe network simulation model is kept unchanged, and only the production allocation plan is planned and optimized; then, sequentially executing the step S300, the step S400 and the step S500, and judging the risk early warning again for the formed adjustment scheme containing the proposed optimized allocation plan and the original management network simulation model; and (5) circulating until an optimal production allocation plan matched with the operation capacity of the original pipe network is obtained.
The third method comprises the following steps:
when the simulation production system feeds back the risk level, only strategy c is adopted, and meanwhile, the production allocation plan and the pipe network simulation model are planned and optimized; then, sequentially executing the step S200, the step S300, the step S400 and the step S500, and judging the risk early warning again for the formed adjustment scheme containing the proposed optimized allocation plan and the proposed optimized pipe network simulation model; and (4) circulating until the optimal production allocation plan and the optimal pipe network operation capacity which are matched with each other are obtained.
It should be noted that, in actual use, two univariate adjustment strategies, i.e., the strategy a and the strategy b, are usually adopted to help a manager obtain a pipe network operation scheme (the strategy a) matched with an original allocation plan, or to help the manager obtain an allocation plan (the strategy b) matched with the current pipe network operation capacity. Meanwhile, the conditions of adjusting the production allocation plan and the operation capacity of the pipe network are complex and are less in use.
Step S700: and simulating the recommended adjustment scheme based on a pipe network flow model, comparing and selecting from three main aspects of system safety, economic feasibility and production organization efficiency, selecting the optimal recommended adjustment scheme, and helping a manager obtain the most reasonable production allocation plan and the optimal pipe network configuration corresponding to the optimal recommended adjustment scheme.
Step S800: and (6) ending.
As shown in fig. 1 and fig. 2, the flow of the method for shale gas well scale production allocation and pipe network operation optimization in this embodiment is simplified, that is, the method includes: firstly, establishing various typical shale gas well pressure-yield decreasing models according to sub-well area classification, then appointing Excel to input batch well daily data, establishing (or updating) a pipeline network model, as shown in fig. 15, generating a pipeline network flow model, then utilizing Avocet software to rapidly simulate and calculate daily yield and pressure of a production system, updating node information of the pipeline network flow model, comparing the node information with a system set threshold value, and carrying out risk early warning: if no risk early warning exists, the allocation and production plan and the pipe network configuration are better at the moment and can be continuously used without adjustment; if the risk early warning is available, the production allocation plan and/or the pipe network configuration needs to be adjusted through an optimization strategy, a scheme is necessarily selected for the recommended adjustment scheme, and an optimal scheme is selected. And the manager obtains the most reasonable allocation plan and the optimized pipe network configuration corresponding to the optimal scheme.
Example 3:
the embodiment provides a method for establishing a pipe network simulation model on the basis of the embodiment 2.
The method specifically comprises the following steps:
step A1: establishing various typical shale gas well pressure-yield decreasing models according to the classification of the sub-well regions;
step A2: inputting batch well daily data comprising new well single well mouth gas production, old well single well mouth gas production, new well single well mouth pressure, old well single well mouth pressure, compressor compression ratio, output pressure, external gas source gas quantity and single well water-gas ratio in a production allocation time range according to a formulated production allocation plan through Excel software;
step A3: establishing or updating a Pipesim pipe network model comprising information of a platform, a compressor, a pipeline and a separator;
the method comprises the following steps of updating a Pipesim pipe network model through information of a debugging platform, a compressor, a pipeline and a separator;
step A4: and (4) according to the batch well daily data collected in the step (S200) and the pipeline network model built or updated in the step (S300), building or updating a pipeline network simulation model from a well mouth to an output point, so that a pipeline network flow model is built or updated to form a simulation production system. And the simulation of the operation state of the pipe network of the shale gas production system can be carried out through a pipe network flow model by using Avocet software.
In this embodiment, Avocet software is used to perform analog calculation on the workflow and display the result. FIG. 14 is a view of a workflow simulation compute runtime interface; and a display interface for displaying the scale production allocation plan result, a display interface for alarming the platform pressure input and the like are not displayed one by one.
Therefore, in the embodiment, a set of pipe network simulation model is established through Excel, Pipesim and Avocet software, closed-loop dynamic update of shale gas production system pipe network flow simulation is realized, a gas reservoir-ground integrated function is applied to a production allocation plan for the first time, gas-water two-phase flow of the production system under different time, different production allocations, different pipe networks and different working conditions can be simulated, the problems of low scale production allocation efficiency, low updating efficiency and insufficient precision of a complex ground system and low calculation speed of fast simulation of two-phase flow of the whole system under the complex dynamic characteristics of the shale gas cluster well are solved, more efficient and more reasonable gas well scale production allocation is realized, and more intuitive and more flexible pipe network operation monitoring and simulation are realized.
Other parts of this embodiment are the same as embodiment 2, and thus are not described again.
Example 4:
the embodiment provides a method for rapidly updating flow model node information of a complex shale gas production system pipe network based on the embodiment 2 or the embodiment 3.
The method specifically comprises the following steps: in step S200 in this embodiment, batch well daily data is collected by Excel software. The pipe network simulation model in the step S300 is modeled based on Pipesim software in multiphase flow steady-state simulation software. In the step S500, the flow state of the gas-water two-phase flow in the simulation production system is calculated by using Avocet software, and the daily output and the pressure of the wellhead, the platform, the gas gathering station and the central station in the shale gas production system are calculated; in the step S700, Avocet software is used to simulate the distribution plan and the pipe network simulation model in the recommended adjustment scheme.
Therefore, in the embodiment, a set of method for rapidly updating node information of a flow model of a pipe network of a complex shale gas production system is established by combining Excel and Avocet software.
Other parts of this embodiment are the same as those of embodiment 2 or embodiment 3, and thus are not described again.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications and equivalent variations of the above embodiments according to the technical spirit of the present invention are included in the scope of the present invention.
Claims (10)
1. A method for shale gas well scale production allocation and pipe network operation optimization is characterized by comprising the following steps: based on a shale gas production system, firstly establishing a typical shale gas well yield-pressure decreasing model, inputting batch well daily data within a production allocation time range according to a formulated production allocation plan, and establishing or updating a pipe network simulation model so as to establish or update a pipe network flow model; then, rapidly predicting the pipe network operation capacity including the daily output and the pressure of the shale gas production system based on a pipe network flow model, rapidly updating the node information of the pipe network flow model, comparing the updated node information with a threshold set in the shale gas production system, and performing risk early warning; according to risk early warning, when a plan or a pipe network needs to be adjusted, a recommended adjustment scheme comprising a production allocation plan and a pipe network operation capacity is formed by adopting an optimization strategy, the recommended adjustment scheme is simulated based on a pipe network flow model, and then the most reasonable production allocation plan and the optimized pipe network configuration corresponding to the optimal recommended adjustment scheme are selected according to a simulation result.
2. The method for shale gas well scale production allocation and pipe network operation optimization as claimed in claim 1, wherein: the method specifically comprises the following steps:
step S100: establishing various typical shale gas well pressure-yield decreasing models according to the classification of the sub-well regions;
step S200: inputting batch well daily data including new well single well mouth gas production, old well single well mouth gas production, new well single well mouth pressure, old well single well mouth pressure, compressor compression ratio, output pressure, external gas source gas quantity and single well water-gas ratio within a production allocation time range according to a formulated production allocation plan;
step S300: establishing or updating a Pipesim pipe network model comprising information of a platform, a compressor, a pipeline and a separator;
the method comprises the following steps of updating a Pipesim pipe network model through information of a debugging platform, a compressor, a pipeline and a separator;
step S400: according to the batch well daily data collected in the step S200 and the pipeline network model built or updated in the step S300, building or updating a pipeline network simulation model from a well mouth to an output point, so that a pipeline network flow model used for simulating the operation state of a pipeline network of the shale gas production system is built or updated, and a simulation production system is formed;
step S500: firstly, calculating the daily output and pressure of the positions of a wellhead, a platform, a gas collecting station and a central station in the shale gas production system based on the flow state of gas-water two-phase flow in a pipe network flow model to update the node information of the pipe network flow model, comparing the updated node information with a set threshold value in the shale gas production system, and carrying out risk early warning;
the risk intensity level for risk early warning is divided according to the number of days for risk prompt of node information of the pipe network flow model in the current month; if the simulation production system feeds back the risk-free level, the current allocation plan and the pipe network operation model are the most reasonable allocation plan and the optimized pipe network operation capacity, and the step S800 is directly skipped; if the simulation production system feeds back the risk level, skipping to the step S600;
step S600: according to the content of risk early warning, adopting an optimization strategy to form a recommended adjustment scheme comprising two adjustment objects of a distribution plan and a pipe network operation capacity;
step S700: based on a pipe network flow model, simulating a recommended adjustment scheme, comparing and selecting from three main aspects of system safety, economic feasibility and production organization efficiency, selecting an optimal recommended adjustment scheme, and helping a manager obtain the most reasonable production allocation plan and the optimal pipe network configuration corresponding to the optimal recommended adjustment scheme;
step S800: and (6) ending.
3. The method for shale gas well scale production allocation and pipe network operation optimization according to claim 1 or 2, wherein the method comprises the following steps: the optimization strategies comprise a strategy a, a strategy b and a strategy c;
the strategy a is to perform the planning optimization on the pipe network simulation model only from any one or more of a new compressor, a new separator, a pipe network reconstruction and expansion and a pipe cleaning while keeping the production allocation plan unchanged;
the strategy b is to keep the pipe network simulation model unchanged and only make a planning optimization on a production allocation plan;
and the strategy c is to perform planning optimization on a production allocation plan and a pipe network simulation model at the same time.
4. The method for shale gas well scale production allocation and pipe network operation optimization as claimed in claim 3, wherein: when a plan or a pipe network needs to be adjusted, only a strategy a is adopted to form one or more proposed optimized pipe network simulation models, and finally an adjustment scheme comprising an original production allocation plan and the proposed optimized pipe network simulation models is formed;
or when the plan or the pipe network needs to be adjusted, only the strategy b is adopted to form one or more proposed optimized allocation plans, and finally an adjustment scheme comprising the proposed optimized allocation plans and the original pipe network simulation model is formed;
when a plan or a pipe network needs to be adjusted, only a strategy c is adopted to form one or more groups of proposed optimized distribution plans and pipe network simulation models, and finally an adjustment scheme comprising the proposed optimized distribution plans and the proposed optimized pipe network simulation models is formed.
5. The method for shale gas well scale production allocation and pipe network operation optimization as claimed in claim 3, wherein: when a plan or a pipe network needs to be adjusted, firstly adopting a strategy a to form a proposed and optimized pipe network simulation model, then adopting a strategy b to form a proposed and optimized allocation plan, and finally forming an adjustment scheme comprising the proposed and optimized allocation plan and the proposed and optimized pipe network simulation model;
or when the plan or the pipe network needs to be adjusted, firstly adopting the strategy b to form a planned and optimized distribution plan, then adopting the strategy a to form a planned and optimized pipe network simulation model, and finally forming an adjustment scheme comprising the planned and optimized distribution plan and the planned and optimized pipe network simulation model.
6. The method for shale gas well scale production allocation and pipe network operation optimization as claimed in claim 2, wherein: in the step S100, a plurality of typical shale gas well pressure-yield decreasing models are established according to the classification of the sub-well regions; the shale gas well pressure-yield decrement model comprises a new well initial yield-pressure change characteristic model and an old well staged yield-pressure change characteristic model; the old well staged yield-pressure change characteristic model is divided into three stages of a yield-pressure initial stage rapid decreasing period, a medium-speed decreasing period and a slow decreasing period.
7. The method for shale gas well scale production allocation and pipe network operation optimization as claimed in claim 2, wherein:
and extracting the gas production rate of the new well single well, the gas production rate of the old well single well and the single well mouth pressure data in the step S200 from the shale gas well pressure-yield decrement model in the step S100.
8. The method for shale gas well scale production allocation and pipe network operation optimization as claimed in claim 2, wherein: in the step S200, batch well daily data is collected through Excel software.
9. The method for shale gas well scale production allocation and pipe network operation optimization as claimed in claim 2, wherein: the pipe network simulation model in the step S300 is modeled based on Pipesim software in multiphase flow steady-state simulation software.
10. The method for shale gas well scale production allocation and pipe network operation optimization as claimed in claim 2, wherein:
in the step S500, the flow state of the gas-water two-phase flow in the simulation production system is calculated by using Avocet software, and the daily output and the pressure of the wellhead, the platform, the gas gathering station and the central station in the shale gas production system are calculated;
in the step S700, Avocet software is used to simulate the distribution plan and the pipe network simulation model in the recommended adjustment scheme.
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