CN113550736A - Anomaly analysis system and method applied to oil gas collection - Google Patents
Anomaly analysis system and method applied to oil gas collection Download PDFInfo
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- CN113550736A CN113550736A CN202110844573.2A CN202110844573A CN113550736A CN 113550736 A CN113550736 A CN 113550736A CN 202110844573 A CN202110844573 A CN 202110844573A CN 113550736 A CN113550736 A CN 113550736A
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/06—Measuring temperature or pressure
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/26—Storing data down-hole, e.g. in a memory or on a record carrier
Abstract
The invention belongs to the field of oil gas exploitation, and particularly relates to an anomaly analysis system applied to oil gas collection, which comprises a flow detection module, a calculation module, a data storage module, an analysis module, a pressure detection module, a judgment module and an alarm module; the flow detection module is used for detecting a real-time flow value of fluid in the pipeline, the calculation module is used for calculating a normal pressure interval and a normal flow interval of the pipeline, and the data storage module stores the real-time flow value, the normal pressure interval and the normal flow interval; the analysis module analyzes whether the real-time flow value is in a normal flow interval or not, and the detection module is also used for starting the pressure detection module; the pressure detection module detects a real-time pressure value in the pipeline, the judgment module judges the specific abnormal condition of the pipeline according to the real-time pressure value, and the alarm module is used for sending alarm information to the terminal, so that the problems that the detection process is complex, the consumed time is long and the specific abnormal condition cannot be realized in the prior art are solved.
Description
Technical Field
The invention belongs to the field of oil and gas exploitation, and particularly relates to an anomaly analysis system and method applied to oil and gas collection.
Background
Petroleum, known as industrial "blood", is an important strategic resource and is an accelerator for national economy. In recent years, with the rapid development of national economy of China, the consumption of petroleum is increased rapidly, and from 1993 to present, China is a petroleum import country, and the petroleum import amount is increased year by year. In order to alleviate the contradiction between supply and demand, in addition to insisting on oil and gas exploration and developing a new field, the recovery ratio of crude oil is improved in the process of exploitation. The prior art provides a method for judging whether an exploitation pipeline is abnormal or not by detecting the deformation degree of the exploitation pipeline in the crude oil exploitation process, but the detection method has the disadvantages of huge workload and long detection time consumption, and needs further analysis when the specific abnormal condition of the pipeline is judged, so that the long-time detection process not only seriously influences the exploitation rate of crude oil, but also possibly influences the surrounding water quality and causes environmental pollution.
Disclosure of Invention
The invention aims to provide an anomaly analysis system and method applied to oil gas collection, and aims to solve the problems that in the prior art, the detection process is complex, the consumed time is long, and the specific anomaly condition cannot be realized.
In order to achieve the purpose, the invention provides the following technical scheme, and the anomaly analysis system applied to oil gas collection comprises a flow detection module, a calculation module, a data storage module, an analysis module, a pressure detection module, a judgment module and an alarm module;
the flow detection module detects the real-time flow of the fluid in the pipeline and transmits the detection data to the data storage module;
the calculation module is used for calculating a normal pressure interval of the pipeline, calculating a normal flow interval of the pipeline according to the normal pressure interval, and transmitting the calculated normal flow interval and the calculated normal pressure interval to the data storage module;
the data storage module stores the detection data of the real-time flow, the normal flow interval and the normal pressure interval;
the analysis module acquires the real-time flow and the normal flow interval in the data storage module, analyzes whether the real-time flow is in the normal flow interval, marks the real-time flow data as 'normal' if the real-time flow is in the normal flow interval, marks the real-time flow data as 'abnormal' if the real-time flow is not in the normal flow interval, and starts the pressure detection module;
the pressure detection module is used for detecting a real-time pressure value in the pipeline and sending the real-time pressure value to the judgment module;
the method comprises the steps that a judging module obtains a normal pressure interval, compares a real-time pressure value with the normal pressure interval, judges that a result is ' pipeline blockage ' if the real-time pressure value is larger than the maximum value of the normal pressure interval, judges that the pipeline leaks ' if the real-time pressure value is smaller than the minimum value of the normal pressure interval, and sends the judging result to an alarm module;
the alarm module sends alarm information to the terminal in combination with the detection data and the judgment result to prompt the worker that the oil-gas collection is abnormal.
The principle of the technical scheme is as follows: through data such as pipeline diameter, calculate the normal pressure interval and the normal flow interval of pipeline, flow value through detecting the pipeline, if the pipeline appears blockking up or reveals, flow value is less than normal flow value, but the pipeline is when appearing blockking up, the pressure increase in the pipeline, when the pipeline appears leaking, pressure in the pipeline reduces, whether block up or reveal through flow detection module detection pipeline appears, rethread pressure detection module detects the pressure in the pipeline, whether the pressure value that detects out is because pipeline leakage or pipeline blockage according to the pressure value that detects out and the interval contrast of normal pressure judge out that pipeline flow is unusual.
Has the advantages that: whether the pipeline has the abnormality is judged through the flow of crude oil in the detection pipeline, compared with the prior art, the detection method is simple, the consumed time is short, the reason of the abnormal condition of the pipeline can be directly analyzed, the time for obtaining the detection result is shortened, the working personnel is reminded to take corresponding measures more quickly, and the reduction of the crude oil production rate caused by the pipeline problem or the environmental pollution caused by the excessive leakage of the crude oil is avoided.
Further, the flow detection module detects the real-time flow of the pipeline every ten minutes.
Has the advantages that: the flow of the crude oil in the pipeline is monitored in time, and the working personnel can conveniently master the exploitation conditions of the pipeline and the crude oil.
Further, the data storage module stores the real-time flow value within 30 days.
Has the advantages that: real-time flow data within 30 days are recorded, and workers can check the pipeline flow condition within one month conveniently.
And the system further comprises an adjusting module for adjusting the time interval between the acquisition of the primary real-time flow value by the analyzing module and the analysis of the normal flow interval.
Has the advantages that: the time interval for acquiring the real-time flow value by the analysis module is adjusted according to the actual condition, so that the pipeline condition can be reasonably detected, and resources consumed by frequent analysis are saved.
And the checking module is used for checking the real-time flow value stored by the data storage module.
Has the advantages that: the staff checks the stored real-time flow value at any time through the terminal, and helps the staff to know the crude oil exploitation situation and carry out other related work.
And the control module is used for starting the analysis module to extract the latest real-time flow value for analysis.
Has the advantages that: if the real-time flow value is abnormal, the analysis module can be controlled to analyze the real-time flow value at any time, and the detection safety is improved.
And the maintenance module contacts different maintenance personnel to maintain the pipeline according to the judgment result.
Has the advantages that: the pipeline is timely maintained by contacting related workers, and the influence on the crude oil production rate or the pollution to the surrounding environment caused by the long-term fault of the pipeline is avoided.
The technical scheme provided by the invention also comprises an anomaly analysis method applied to oil gas collection, and the anomaly analysis system applied to oil gas collection is used.
Drawings
Fig. 1 is a schematic view of embodiment 1 of the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example 1
Example 1 is substantially as shown in figure 1: the anomaly analysis system applied to oil gas collection comprises a flow detection module, a calculation module, a data storage module, an analysis module, a pressure detection module, a judgment module, an alarm module, an adjustment module, a checking module, a maintenance module and a control module.
The flow detection module detects the real-time flow value of fluid in the pipeline and transmits detection data to the data storage module, the flow detection module detects the real-time flow of the pipeline every ten minutes, and the check module is used for checking the real-time flow value stored by the data storage module at any time;
the calculation module is used for calculating a normal pressure interval of the pipeline, calculating a normal flow interval of the pipeline according to the normal pressure interval, and transmitting the calculated normal flow interval and the calculated normal pressure interval to the data storage module; the normal pressure interval of the pipeline is calculated according to the diameter, the length, the pipe resistance ratio and the like of the pipeline, and the normal flow interval of the pipeline is calculated through the normal pressure interval and the like.
The data storage module stores the detection data of the real-time flow, the normal flow interval and the normal pressure interval, and stores the real-time flow value within 30 days;
the analysis module acquires a real-time flow value and a normal flow interval in the data storage module, analyzes whether the real-time flow is in the normal flow interval, marks the real-time flow data as 'normal' if the real-time flow is in the normal flow interval, marks the real-time flow data as 'abnormal' if the real-time flow is not in the normal flow interval, and starts the pressure detection module;
the adjusting module adjusts the time interval for analyzing the primary real-time flow value and the normal flow interval acquired by the analyzing module;
the control module is used for starting the analysis module to extract the latest real-time flow value for analysis;
the pressure detection module is used for detecting a real-time pressure value in the pipeline and sending the real-time pressure value to the judgment module;
the method comprises the steps that a judging module obtains a normal pressure interval, compares a real-time pressure value with the normal pressure interval, judges that a result is ' pipeline blockage ' if the real-time pressure value is larger than the maximum value of the normal pressure interval, judges that the pipeline leaks ' if the real-time pressure value is smaller than the minimum value of the normal pressure interval, and sends the judging result to an alarm module;
the alarm module sends alarm information to the terminal in combination with the detection result and the judgment result to prompt workers that oil gas collection is abnormal, and the maintenance module contacts different maintenance personnel to maintain the pipeline according to the judgment result.
The specific implementation process is as follows:
the existing crude oil transportation pipeline at one section needs to be detected, pipeline data, transportation data and the like are input into a calculation module, the calculation module calculates a normal pressure interval of the pipeline, a normal flow interval of the pipeline is calculated through the normal pressure interval, a formula for calculating pipeline pressure according to the pipeline data, the transportation data and the like and further calculating pipeline flow is disclosed in patent No. CN109063849A, and details are not repeated herein.
From 5.1 days, the flow detection module detects the real-time flow of fluid in the pipeline every ten minutes and transmits the detected real-time flow value to the data storage module, a normal pressure interval and a normal flow interval are stored in the data storage module, and the data storage module stores detection data within 30 days. The time interval for the analysis module to initially acquire the primary real-time flow value and the normal flow interval is thirty minutes, and the time interval for the analysis module to acquire the primary real-time flow value and the normal flow interval is twenty minutes due to the primary participation of the transportation pipeline in detection.
5.7 days, the analysis module acquires a real-time flow value, and finds that the real-time flow value does not belong to a normal flow interval through analysis of the normal flow interval, and the difference is slightly larger, the analysis module marks the real-time flow value as abnormal, and starts the pressure detection module, the pressure detection module detects the real-time pressure value in the pipeline, and sends the detected real-time pressure value to a judgment module, the judgment module acquires a normal pressure interval, comparing the real-time pressure value with the normal pressure interval to find that the real-time pressure value is smaller than the minimum value in the normal pressure interval, the judgment module judges that the pipeline leaks and sends the judgment result to the alarm module, the alarm module sends alarm information to a terminal by combining the detection result and the judgment result to prompt a worker that the pipeline leaks, the maintenance module contacts the staff who the relevant maintenance pipeline revealed to in time maintain the pipeline.
5.21 days, when a worker checks the real-time flow value through the checking module, the worker finds that the just stored real-time flow value is abnormal compared with the previously stored real-time flow value, the worker starts the analysis module to obtain the real-time flow value through the control module, finds that the real-time flow value does not belong to a normal flow interval and slightly differs from the normal flow interval through analysis of the normal flow interval, marks the real-time flow value as abnormal through the analysis module, starts the pressure detection module, detects the real-time pressure value in the pipeline, sends the detected real-time pressure value to the judgment module, obtains the normal pressure interval through the judgment module, compares the real-time pressure value with the normal pressure interval, finds that the real-time pressure value is greater than the maximum value in the normal pressure interval, judges that the pipeline is blocked, and the judgment result is sent to the alarm module, the alarm module sends alarm information to the terminal by combining the detection result and the judgment result to prompt a worker that the pipeline is blocked, and the maintenance module contacts the worker who is related to maintaining the pipeline blockage to timely dredge and maintain the pipeline.
And in 5.21 days to 8.20 days, the pipeline has no abnormal condition, and the time interval for analyzing the primary real-time flow value and the normal flow interval acquired by the analysis module through the adjustment module is forty minutes.
Example 2
This example differs from example 1 in that: the maintenance module comprises a classification module, a matching module and a live broadcast module; the classification module is used for classifying the maintenance difficulty into a first level, a second level and a third level, the maintenance difficulty is increased in sequence, and different maintenance difficulties correspond to different levels of maintenance personnel; the matching module is used for matching maintenance personnel in the corresponding maintenance difficulty according to the judgment result, and if no maintenance personnel can be matched in the corresponding maintenance difficulty, the matching module preferentially matches the maintenance personnel with a high level; the live broadcast module is used for live broadcast of the maintenance process of the maintenance personnel when the matched maintenance personnel are not in accordance with the maintenance difficulty; the adjusting module is also used for shortening the time interval of analysis by the adjusting and analyzing module when the matched maintenance personnel is lower than the maintenance difficulty level.
Has the advantages that: the maintenance difficulty and the maintenance personnel are classified, the maintenance personnel can be effectively distributed according to the maintenance difficulty, the effect of making the best use of things is achieved, and the mutual learning and supervision of the maintenance personnel are facilitated; when the maintenance personnel without corresponding maintenance difficulty are matched, the maintenance personnel with high priority are matched, so that the abnormal pipeline can be maintained in time; when the matched maintenance personnel have higher level than the maintenance difficulty level, the real-time live broadcast is started, so that other low-level maintenance personnel can conveniently learn; when the matched maintenance personnel is lower than the maintenance difficulty level, the real-time live broadcast is started, the maintenance process can be supervised and guided by the maintenance personnel with high level, the time interval of analysis is adjusted through the adjusting module, the abnormal pipeline maintained by the maintenance personnel is frequently detected, the abnormal pipeline is ensured to be maintained well, and the normal use can be realized.
It will be apparent to those skilled in the art that various changes and modifications can be made without departing from the spirit and scope of the invention, and these changes and modifications should not be construed as affecting the performance of the invention and its practical application.
Claims (8)
1. Be applied to oil gas collection's anomaly analysis system, its characterized in that: the device comprises a flow detection module, a calculation module, a data storage module, an analysis module, a pressure detection module, a judgment module and an alarm module;
the flow detection module detects a real-time flow value of fluid in the pipeline and transmits detection data to the data storage module;
the calculation module is used for calculating a normal pressure interval of the pipeline, calculating a normal flow interval of the pipeline according to the normal pressure interval, and transmitting the calculated normal flow interval and the calculated normal pressure interval to the data storage module;
the data storage module stores the detection data of the real-time flow, the normal flow interval and the normal pressure interval;
the analysis module acquires a real-time flow value and a normal flow interval in the data storage module, analyzes whether the real-time flow is in the normal flow interval, marks the real-time flow data as 'normal' if the real-time flow is in the normal flow interval, marks the real-time flow data as 'abnormal' if the real-time flow is not in the normal flow interval, and starts the pressure detection module;
the pressure detection module is used for detecting a real-time pressure value in the pipeline and sending the real-time pressure value to the judgment module;
the method comprises the steps that a judging module obtains a normal pressure interval, compares a real-time pressure value with the normal pressure interval, judges that a result is ' pipeline blockage ' if the real-time pressure value is larger than the maximum value of the normal pressure interval, judges that the pipeline leaks ' if the real-time pressure value is smaller than the minimum value of the normal pressure interval, and sends the judging result to an alarm module;
the alarm module sends alarm information to the terminal in combination with the detection data and the judgment result to prompt the worker that the oil-gas collection is abnormal.
2. The anomaly analysis system applied to hydrocarbon collection according to claim 1, wherein: the flow detection module detects the real-time flow of the pipeline every ten minutes.
3. The anomaly analysis system applied to hydrocarbon collection of claim 2, wherein: and the data storage module stores the real-time flow value within 30 days.
4. The anomaly analysis system applied to hydrocarbon collection according to claim 3, wherein: the flow rate monitoring system comprises an adjusting module, and the time interval between the acquisition of the primary real-time flow rate value by the analyzing module and the analysis of the normal flow rate interval is adjusted.
5. The anomaly analysis system applied to oil and gas collection according to claim 4, wherein: the flow monitoring system further comprises a checking module, and the checking module is used for checking the real-time flow value stored by the data storage module.
6. The anomaly analysis system applied to hydrocarbon collection according to claim 5, wherein: the flow meter also comprises a control module which is used for starting the analysis module to extract the latest real-time flow value for analysis.
7. The anomaly analysis system applied to hydrocarbon collection according to claim 6, wherein: the maintenance module is used for contacting different maintenance personnel to maintain the pipeline according to the judgment result.
8. The anomaly analysis method applied to oil gas collection is characterized by comprising the following steps: the anomaly analysis system applied to oil and gas collection according to any one of claims 1 to 7.
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| CN116106505A (en) * | 2023-04-13 | 2023-05-12 | 西南石油大学 | Concentration analysis system and analysis method for natural gas exploitation |
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