CN113341859B - Offshore platform water treatment system balancing method based on knowledge graph - Google Patents
Offshore platform water treatment system balancing method based on knowledge graph Download PDFInfo
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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- G08B21/18—Status alarms
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Abstract
A knowledge graph-based offshore platform water treatment system balancing method comprises the following steps: monitoring and early warning: establishing a monitoring and early warning model of the parameters of the whole-process equipment of the water system of the offshore platform by adopting a trend early warning and threshold value warning method, and respectively setting an initial trend change slope threshold value and a parameter threshold value for the parameters of each monitored equipment; fast attribution analysis: performing attribution calculation twice aiming at trend early warning information and threshold alarm information of the parameters of the whole-process equipment of the water system of the offshore platform, determining the fault reason and establishing a knowledge graph of related equipment; and (3) balance control scheme recommendation: and recommending an optimized measure scheme aiming at the fault reason, providing an attribution analysis table extracted from the knowledge graph of the corresponding equipment for the user, wherein the attribution analysis table comprises monitoring parameters and parameter change trends, and assisting the user to carry out manual attribution judgment on the alarm. The invention can find the unbalance of the ground water system in time, attribute and analyze the whole flow of the upstream, the self and the downstream of the alarm point and provide a reasonable treatment suggestion.
Description
Technical Field
The invention relates to a balance control method for an offshore platform water treatment system. In particular to a balance method of an offshore platform water treatment system based on knowledge graph.
Background
Offshore oil has high input, high risk characteristics, and offshore platform water treatment system is out of balance, can directly lead to the platform to turn off, and then causes great economic loss and has production potential safety hazard.
In order to ensure the safe production of offshore oil fields, the balance determination method of the offshore platform water treatment system needs to comprehensively analyze various production parameters, automatically attribute and analyze and recommend an optimal treatment method. However, the existing offshore platform water treatment system has the following problems in the central control alarm system:
1. the method is characterized in that the alarm mode is single, the alarm types of the current central control parameter of the offshore platform are mainly high, low, high, low and single, only single parameter threshold alarm can be set, all set parameters are independent, not all alarms are caused by faults, and manual analysis and judgment are needed;
2. the system can not directly give the reason of the alarm and needs an experienced expert at the later stage to accurately judge;
3. the knowledge and experience of monitoring personnel can directly influence the water system balance regulation and control result, and if the platform is turned off, the production efficiency of the platform is influenced and potential safety hazards exist.
Therefore, it is necessary to establish a solution capable of on-site early warning, attribution analysis and instant water balance pushing; in addition, under the background of digital and intelligent development in the traditional petrochemical industry, various production characteristic parameters are comprehensively analyzed by using an advanced artificial intelligence method, expert analysis logic is established through a knowledge graph, and a balance determination method for the offshore platform water treatment system is feasible.
Disclosure of Invention
The invention aims to solve the technical problem of providing a knowledge graph-based offshore platform water treatment system balancing method which can realize on-site early warning, attribution analysis and intelligent pushing of an offshore platform water treatment system.
The technical scheme adopted by the invention is as follows: a knowledge graph-based offshore platform water treatment system balancing method comprises the following steps:
1) establishing a monitoring early warning model: establishing a monitoring and early warning model of the parameters of the whole-process equipment of the offshore platform water treatment system by adopting a trend early warning and threshold value alarming method, and respectively setting a trend change slope threshold value and a parameter threshold value for the parameters of each monitored equipment;
2) establishing an attribution analysis model: performing two-time attribution calculation aiming at trend early warning information and threshold alarm information of the whole-process equipment parameters of the offshore platform water treatment system, determining fault reasons, and establishing a knowledge graph of related equipment;
3) recommending a balance control scheme of the offshore platform water treatment system: and establishing a corresponding relation among attribution equipment, control point positions in attribution equipment, analysis contents and recommendation schemes corresponding to the automatic attribution analysis results, and automatically executing corresponding scheme recommendation aiming at the automatic attribution analysis results by using the corresponding relation.
The balance method of the offshore platform water treatment system based on the knowledge graph can timely find out the imbalance contradiction of the offshore platform water treatment system by monitoring each node of the offshore platform water treatment system in real time, and can timely provide reasonable treatment suggestions for production managers by analyzing the attribution of the whole processes of the upstream, the self and the downstream of an alarm point, thereby realizing the intelligent monitoring and the instant optimized allocation of the balance control of the offshore platform water treatment system. The invention realizes the balance control scheme of on-site early warning, attribution analysis and intelligent pushing of the offshore platform water treatment system.
Drawings
FIG. 1 is a flow diagram of a knowledge-graph based offshore platform water treatment system balancing method of the present invention;
FIG. 2 is a schematic diagram of trend warning and threshold warning information discrimination in the present invention.
Detailed Description
The knowledge-map-based offshore platform water treatment system balancing method is described in detail below with reference to the embodiments and the accompanying drawings.
The invention discloses a balance method of an offshore platform water treatment system based on a knowledge graph, which characterizes production parameters of the offshore platform water treatment system, a water injection system, a reinjection system and the like. According to the analysis and disposal process of the offshore platform water treatment system on different abnormal problems, a driving rule of automatic reasoning from monitoring early warning, attribution analysis to scheme recommendation is formulated, and an offshore platform water treatment system balance intelligent management and control method is formed. The method fuses data, can effectively expand data from other sources, and can achieve better effect on balance control of a medium-sized and small-sized platform water system with fewer samples.
As shown in FIG. 1, the method for balancing the water treatment system of the offshore platform based on the knowledge-graph comprises the following steps:
the method comprises the following steps: establishing a monitoring and early warning model
Establishing a monitoring and early warning model of the parameters of the whole-process equipment of the offshore platform water treatment system by adopting a trend early warning and threshold value alarming method, and respectively setting a trend change slope threshold value and a parameter threshold value for the parameters of each monitored equipment; wherein, the parameters of the whole-flow equipment of the offshore platform water treatment system comprise: the device comprises a water injection buffer tank, a production separator, a waste oil tank, a walnut shell filter, a production water buffer tank, an inclined plate oil remover, a water phase, each device is in a start-stop state, and the opening degree of a regulating valve.
The monitoring and early warning model for the parameters of the whole-process equipment of the offshore platform water treatment system works as follows:
(1) the method comprises the following steps of collecting parameters of equipment in the whole process of the offshore platform water treatment system in real time through a sensor, and transmitting the parameters to a central control system of the offshore platform;
(2) calculating the real-time change slope of each equipment parameter in unit time according to the monitored parameter values of the equipment in the whole process of the offshore platform water treatment system:
real-time change slope = (device parameter value at current time-device parameter value at previous time)/(current time-previous time)
As shown in fig. 2, when the parameter variation trend satisfies the following two conditions, sending trend early warning information, and calculating the remaining time from the device parameter to the high early warning limit and the low early warning limit under the current slope; wherein:
the two cases are:
1. the device parameter value is between the set value and the high early warning limit, the calculated real-time change slope is higher than the set trend change slope threshold of the corresponding device, the device parameter continuously rises, and the device parameter trend tends to the high early warning limit according to the currently calculated real-time change slope;
2. the device parameter value is between the set value and the low early warning limit, the calculated real-time change slope is higher than the set trend change slope threshold value of the corresponding device, the device parameter continuously decreases, and the device parameter trend tends to the low early warning limit according to the currently calculated real-time change slope;
the remaining time of the device parameter to the high and low warning limits at the current slope is calculated as follows:
the remaining time for the device parameter to reach the parameter threshold under the current slope = (parameter threshold-device parameter value at current time)/real-time change slope at current time.
(3) Comparing the monitored equipment parameter value in the whole process of the offshore platform water treatment system with a set equipment parameter early warning threshold value, and timely calculating the residual distance between the equipment parameter value of the equipment and the equipment parameter early warning threshold value when the equipment parameter value is within the range of the equipment parameter early warning threshold value:
the remaining distance between the device parameter value and the device parameter early warning threshold = the device parameter early warning threshold-the device parameter value at the current moment
As shown in fig. 2, when the device parameter value is higher than the device parameter early warning threshold value, that is, the device parameter value is higher than the high early warning limit, or the device parameter value is lower than the low early warning limit, the device parameter early warning model of the whole process of the offshore platform water treatment system triggers the threshold value alarm information, so as to realize the monitoring and early warning of the whole process of the offshore platform water treatment system.
Step two: establishing attribution analysis model
Performing attribution calculation twice aiming at trend early warning information and threshold alarm information of the whole-process equipment parameters of the offshore platform water treatment system, determining fault reasons, and establishing a knowledge graph of related equipment; the fast attribution analysis comprises:
(1) a first attribution analysis was performed: the method comprises the steps that self attribution analysis is carried out on early warning equipment, namely fault attribution analysis is carried out on equipment to which parameters belong in warning information, attribution objects comprise instruments corresponding to parameters of the whole-process equipment of the offshore platform water treatment system, liquid level, pressure, flow, start-stop states and opening degree of a regulating valve of the equipment to which the warning parameters belong, fault reasons of the early warning equipment are determined, and a knowledge map of the early warning equipment is established and shown in a table 1;
(2) and performing second attribution analysis, and respectively establishing a knowledge graph connected with upstream and downstream associated equipment for the equipment related to the early warning information, wherein the second attribution analysis comprises the following steps:
(2.1) establishing a knowledge graph for the early warning information which does not reach the conclusion through the first attribution analysis according to the running states of upstream and downstream associated equipment of the equipment related to the early warning information, and performing second attribution analysis according to the knowledge graph; the method specifically comprises the following steps:
(2.1.1) performing attribution analysis on the upstream equipment of the equipment related to the early warning information: the upstream equipment comprises upstream mixed transportation sea pipe operation parameters, the operation state of the production well of the platform and upstream water treatment equipment monitoring parameters; respectively establishing an upstream knowledge graph connected with upstream equipment for the equipment related to the early warning information according to the historical records, wherein the upstream knowledge graph comprises an alarm parameter variation trend, a factor upstream equipment parameter variation trend and analysis content;
(2.1.2) performing attribution analysis on the downstream equipment of the equipment related to the early warning information: the downstream equipment comprises the operation parameters of a downstream water injection sea pipe, the operation state of a water injection well of the platform and the monitoring parameters of downstream water treatment equipment; and respectively establishing a downstream knowledge graph connected with downstream equipment for the equipment related to the early warning information according to the historical records, wherein the downstream knowledge graph comprises an alarm parameter variation trend, an attributive downstream equipment parameter variation trend and analysis content.
(2.2) attribution conclusion judgment: and obtaining various analysis results corresponding to the knowledge graph through second attribution analysis, and calculating the correlation of each analysis result respectively obtained through a Pearson correlation coefficient calculation formula:
Xfor the parameter values of the alarm device itself,Yfor the parameter values of the attributed devices connected to the alarm device,
is the average value of the parameter values of the alarm device,
the average value of the parameter values attributed to the device connected to the alarm device,
is composed ofX、YCorrelation value of two parameters, when the correlation value
Is greater than 0.7, the alarm of the alarm device is considered to be caused by a causal device connected to the alarm device, the correlation value
The larger the absolute value of (a), the larger the cause of an alarm by the attribution device connected to the alarm device.
The establishing method of the knowledge graph comprises the following steps: according to a production process flow chart of an offshore platform water treatment system, the change conditions of upstream and downstream equipment parameters corresponding to the change of parameters (the liquid level of a water injection buffer tank, the pressure of a production separator, the oil phase liquid level of the production separator, the water phase liquid level of the production separator, the liquid level of a sump tank, the pressure difference of a walnut shell filter, the flow of the walnut shell filter, the liquid level of the production water buffer tank, the pressure of an inclined plate oil remover, the oil phase liquid level of the inclined plate oil remover and the water phase liquid level of the inclined plate oil remover) in carding alarm information and corresponding analysis contents or corresponding adjustment measures are attributed to an analysis knowledge graph shown in a table 2.
Step three: offshore platform water treatment system balance control scheme recommendation
Corresponding relations are established among attribution equipment, attribution equipment center control point positions, analysis contents and recommendation schemes corresponding to the automatic attribution analysis results, corresponding scheme recommendations are automatically executed according to the automatic attribution analysis results by using the corresponding relations, and a scheme recommendation knowledge graph is shown in a table 3.
The following is further illustrated by way of example of an apparatus in a flat bed water treatment process and therefore does not limit the invention to the scope of the embodiments described.
Example (c): the CEPI platform water injection buffer tank (I-T-4101) low liquid level early warning attribution analysis and scheme recommendation.
The CEPI platform water injection buffer tank is a key device of the whole water treatment process, plays a role in starting and stopping the water treatment process, and the whole water treatment process only adopts the device to operate as a single device, so that the unstable operation of the water treatment process can be caused once the alarm of high or low is triggered, and therefore, the stable operation of the device is particularly important in a water treatment system.
And establishing a water injection buffer tank early warning model by adopting a trend early warning and threshold early warning method, and setting a trend change slope threshold and a parameter threshold for the liquid level parameter of the water injection buffer tank.
Alarming by using a parameter threshold value: the method comprises the steps of monitoring the liquid level of a water injection buffer tank of the CEPI platform in real time, analyzing the liquid level change trend in time, continuously triggering threshold value alarm if the liquid level parameter of the water injection buffer tank is lower than a set parameter threshold value (default value 1800 mm), and sequentially triggering low early warning, low alarm and low alarm according to the severity of an exceeded limit.
And (3) parameter trend early warning: the method comprises the steps of monitoring the liquid level (H liquid level height) of a water injection buffer tank of the CEPI platform in real time, analyzing the liquid level change trend in time, triggering trend early warning if the liquid level descending trend of the water injection buffer tank is higher than a parameter change slope threshold value ((H2-H1)/(T2-T1)) > 3), and eliminating the trend early warning when the liquid level value is lower than the parameter threshold value, wherein parameter threshold value warning can occur at the moment.
Aiming at early warning information of the liquid level reduction of the water injection buffer tank of the CEPI platform, historical data of monitoring parameters of relevant equipment are calculated and analyzed (such as the openness of a water phase regulating valve of a production separator, the operation number of production wells, the pressure of an oil sea pipe, the flow of a water injection well, the flow of a reinjection well, the state of a KV valve at a backwashing outlet of a walnut shell filter and the like).
A first attribution analysis was performed: and judging whether the liquid level meter has a fault or not and whether the low-reporting set value of the liquid level meter is higher or not.
If the first attribution analysis is normal, the second attribution analysis is carried out to obtain the final attribution analysis conclusion (according to the table 1, for example, the water injection buffer tank I-T-4101 is low in liquid level, the CEPI production separator V-2001A/B/C regulating valve is in fault, and the opening degree is small).
And calling a recommendation scheme corresponding to the knowledge graph scheme recommendation conclusion according to the attribution conclusion (according to a table 2, 1, checking in time on site, contacting with an instrument department for maintenance, 2, notifying the site by central control, and manually controlling by adopting a regulating valve bypass).
And (4) treating according to a recommended scheme, and solving the early warning of liquid level reduction of the water injection buffer tank of the CEPI platform.
Claims (4)
1. A knowledge graph-based offshore platform water treatment system balancing method is characterized by comprising the following steps:
1) establishing a monitoring early warning model: establishing a monitoring and early warning model of the parameters of the whole-process equipment of the offshore platform water treatment system by adopting a trend early warning and threshold value alarming method, and respectively setting a trend change slope threshold value and a parameter threshold value for the parameters of each monitored equipment; the monitoring and early warning model for the parameters of the whole-process equipment of the offshore platform water treatment system works as follows:
(1) the method comprises the following steps of collecting parameters of equipment in the whole process of the offshore platform water treatment system in real time through a sensor, and transmitting the parameters to a central control system of the offshore platform;
(2) calculating the real-time change slope of each equipment parameter in unit time according to the monitored parameter values of the equipment in the whole process of the offshore platform water treatment system:
real-time change slope (value of device parameter at current time-value of device parameter at previous time)/(current time-previous time)
When the parameter change trend meets the following two conditions, sending trend early warning information, and calculating the residual time from the equipment parameter to a high early warning limit and a low early warning limit under the current slope; wherein:
the two cases are:
1. the device parameter value is between the set value and the high early warning limit, the calculated real-time change slope is higher than the set trend change slope threshold of the corresponding device, the device parameter continuously rises, and the device parameter trend tends to the high early warning limit according to the currently calculated real-time change slope;
2. the device parameter value is between the set value and the low early warning limit, the calculated real-time change slope is higher than the set trend change slope threshold value of the corresponding device, the device parameter continuously decreases, and the device parameter trend tends to the low early warning limit according to the currently calculated real-time change slope;
the remaining time of the device parameter to the high and low warning limits at the current slope is calculated as follows:
the remaining time of the equipment parameter reaching the parameter threshold under the current slope is (parameter threshold-equipment parameter value at the current moment)/the real-time change slope of the current moment;
(3) comparing the monitored equipment parameter value in the whole process of the offshore platform water treatment system with a set equipment parameter early warning threshold value, and timely calculating the residual distance between the equipment parameter value of the equipment and the equipment parameter early warning threshold value when the equipment parameter value is within the range of the equipment parameter early warning threshold value:
the remaining distance between the device parameter value and the device parameter early warning threshold value is equal to the device parameter early warning threshold value-the device parameter value at the current moment
When the equipment parameter value is higher than the equipment parameter early warning threshold value, namely the equipment parameter value is higher than a high early warning limit, or the equipment parameter value is lower than a low early warning limit, triggering a threshold value alarm, and sending out threshold value alarm information by the whole-process equipment parameter early warning model of the offshore platform water treatment system, so that the monitoring and early warning of the whole process of the offshore platform water treatment system are realized;
2) establishing an attribution analysis model: performing two-time attribution calculation aiming at trend early warning information and threshold alarm information of the whole-process equipment parameters of the offshore platform water treatment system, determining fault reasons, and establishing a knowledge graph of related equipment; the attribution analysis model comprises:
(1) a first attribution analysis was performed: the method comprises the steps that self attribution analysis is carried out on early warning equipment, namely fault attribution analysis is carried out on equipment to which parameters belong in warning information, attribution objects comprise instruments corresponding to parameters of the whole-process equipment of the offshore platform water treatment system, liquid level, pressure, flow, start-stop states and opening degree of a regulating valve of the equipment to which the warning parameters belong, fault reasons of the early warning equipment are determined, and a knowledge map of the early warning equipment is established;
(2) and performing second attribution analysis, and respectively establishing a knowledge graph connected with upstream and downstream associated equipment for the equipment related to the early warning information, wherein the second attribution analysis comprises the following steps:
(2.1) establishing a knowledge graph for the early warning information which does not reach the conclusion through the first attribution analysis according to the running states of upstream and downstream associated equipment of the equipment related to the early warning information, and performing second attribution analysis according to the knowledge graph;
(2.2) attribution conclusion judgment: and obtaining various analysis results corresponding to the knowledge graph through second attribution analysis, and calculating the correlation of each analysis result respectively obtained through a Pearson correlation coefficient calculation formula:
x is the parameter value of the alarm device itself, Y is the parameter value of the attribution device connected with the alarm device,
is the average value of the parameter values of the alarm device,
mean value, p, of values of parameters of the attribution device connected to the alarm deviceX,YX, Y, when the correlation value is rhoX,YIs greater than 0.7, the alarm of the alarm device is considered to be caused by a causal device connected to the alarm device, the correlation value ρX,YThe more absolute value ofLarge, the greater the cause of an alarm caused by the attribution device connected to the alarm device;
3) recommending a balance control scheme of the offshore platform water treatment system: and establishing a corresponding relation among attribution equipment, control point positions in attribution equipment, analysis contents and recommendation schemes corresponding to the automatic attribution analysis results, and automatically executing corresponding scheme recommendation aiming at the automatic attribution analysis results by using the corresponding relation.
2. The knowledge-graph-based offshore platform water treatment system balancing method according to claim 1, wherein the offshore platform water treatment system full process equipment parameters of step 1) comprise: the device comprises a water injection buffer tank, a production separator, a waste oil tank, a walnut shell filter, a production water buffer tank, an inclined plate oil remover, a water phase, each device is in a start-stop state, and the opening degree of a regulating valve.
3. The knowledge-graph-based offshore platform water treatment system balancing method according to claim 1, wherein the step (2.1) comprises:
(2.1.1) performing attribution analysis on the upstream equipment of the equipment related to the early warning information: the upstream equipment comprises upstream mixed transportation sea pipe operation parameters, the operation state of the production well of the platform and upstream water treatment equipment monitoring parameters; respectively establishing an upstream knowledge graph connected with upstream equipment for the equipment related to the early warning information according to the historical records, wherein the upstream knowledge graph comprises an alarm parameter variation trend, a factor upstream equipment parameter variation trend and analysis content;
(2.1.2) performing attribution analysis on the downstream equipment of the equipment related to the early warning information: the downstream equipment comprises the operation parameters of a downstream water injection sea pipe, the operation state of a water injection well of the platform and the monitoring parameters of downstream water treatment equipment; and respectively establishing a downstream knowledge graph connected with downstream equipment for the equipment related to the early warning information according to the historical records, wherein the downstream knowledge graph comprises an alarm parameter variation trend, an attributive downstream equipment parameter variation trend and analysis content.
4. The knowledge-graph-based offshore platform water treatment system balancing method according to claim 1 or 3, characterized in that the knowledge-graph is established by: according to a production process flow chart of the offshore platform water treatment system, the change conditions of parameters of equipment corresponding to parameter changes in alarm information and equipment related to the upstream and downstream of the equipment are combed, and corresponding analysis contents or corresponding adjustment measures are taken.
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