CN113536230A - Gas well safety grade output method, device, equipment and storage medium - Google Patents

Gas well safety grade output method, device, equipment and storage medium Download PDF

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CN113536230A
CN113536230A CN202010295712.6A CN202010295712A CN113536230A CN 113536230 A CN113536230 A CN 113536230A CN 202010295712 A CN202010295712 A CN 202010295712A CN 113536230 A CN113536230 A CN 113536230A
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leakage
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CN113536230B (en
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马辉运
周浪
刘祥康
李玉飞
汪传磊
陈浩
朱达江
张丹丹
汪晓磊
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Petrochina Co Ltd
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Abstract

The embodiment of the application provides a method, a device, equipment and a storage medium for outputting the safety level of a gas well, and relates to the technical field of gas reservoir development. The method comprises the following steps: reading failure frequency of a barrier component of the gas well, wherein the barrier component is used for avoiding leakage of the gas well; outputting the probability of leakage of the gas well according to the failure frequency of the barrier component; generating a predicted hazard data set of the gas well leakage, wherein the predicted hazard data set comprises predicted casualty data associated with the gas well leakage; and inputting the leakage probability of the gas well and the predicted hazard data set into a grade determination function, and acquiring the safety grade of the gas well output by the grade determination function. According to the technical scheme provided by the embodiment of the application, the accuracy of judging the safety of the gas well is improved.

Description

Gas well safety grade output method, device, equipment and storage medium
Technical Field
The embodiment of the application relates to the technical field of gas reservoir development, in particular to a method, a device, equipment and a storage medium for outputting the safety level of a gas well.
Background
With the increasing dependence of human productive life on energy, the number of gas wells used for natural gas production is increasing.
In the related art, a gas well comprises a shaft barrier system, the shaft barrier system is used for ensuring that gas in the gas well is not leaked, related technicians only carry out empirical judgment on the safety of the gas well according to the integrity of each component of the shaft barrier system, and the obtained conclusion of the safety of the gas well is not accurate enough.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a storage medium for outputting the safety level of a gas well, and the accuracy of judging the safety of the gas well can be improved. The technical scheme is as follows:
in one aspect, an embodiment of the present application provides a method for outputting a safety level of a gas well, where the method includes:
reading failure frequency of a barrier component of a gas well, wherein the barrier component is used for preventing the gas well from leaking;
outputting the probability of leakage of the gas well according to the failure frequency of the barrier component;
generating a projected hazard data set for the gas well leaking, the projected hazard data set including projected casualty data associated with the gas well leaking;
and inputting the leakage probability of the gas well and the predicted hazard data set into a grade determination function, and acquiring the safety grade of the gas well output by the grade determination function.
In some embodiments, the rank determination function is to:
determining the risk level of the gas well leakage according to the probability of the gas well leakage;
determining a predicted hazard level of the gas well for the gas well to leak according to the predicted hazard data set, wherein the hazard level is used for indicating a predicted hazard level of the gas well to leak;
and determining the safety level of the gas well according to the risk level and the hazard level.
In some embodiments, said determining a safety rating for the gas well based on the risk rating and the hazard rating comprises:
acquiring a safety grade division standard, wherein the safety grade division standard is used for indicating a safety grade corresponding to a safety value, and the safety value is used for indicating the safety degree of a gas well;
multiplying the value corresponding to the risk grade and the value corresponding to the hazard grade to obtain a safety value of the gas well;
and determining the safety level of the gas well according to the safety level division standard and the safety value of the gas well.
In some embodiments, the outputting the probability of the gas well leaking according to the failure frequency of each barrier component comprises:
reading n channels with leakage risks of the gas well, wherein the ith channel in the n channels is used for indicating k corresponding to the ith possibility of leakage of the gas welliA barrier member, and kiA relationship between barrier members, n is a positive integer, i is a positive integer less than or equal to n, kiIs a positive integer;
reading the kiA barrier member, said kiThe relationship between the barrier members and said kiCalculating the leakage probability of the ith channel according to the failure frequency of each barrier component;
and outputting the leakage probability of the gas well according to the leakage probability of the n channels.
In some embodiments, the outputting the probability of the gas well leaking according to the probability of the n channels leaking includes:
calculating the sum of the probabilities of leakage of the n channels;
and outputting the sum of the probabilities of the leakage of the n channels as the probability of the leakage of the gas well.
In some embodiments, the generating the predicted hazard data set for the gas well leaking comprises:
reading peripheral population information and gas well production information of the gas well, wherein the peripheral population information is used for indicating personnel residence information and personnel activity information in a near area of the gas well, and the near area is used for indicating an area with a specified radius taking the gas well as a circle center;
and generating the predicted hazard data set according to the surrounding population information and the gas well production information.
In some embodiments, the generating the predicted hazard data set from the surrounding population information and the gas well production information comprises:
generating expected explosion damage area data and poisoning damage area data according to the gas well production information, wherein the explosion damage area data are used for indicating areas of casualties of the gas well caused by gas explosion due to gas leakage, and the poisoning damage area data are used for indicating areas of the gas well poisoned by personnel caused by the gas leakage;
and generating the predicted hazard data set according to the surrounding human habitation information, the explosion hazard area data and the poisoning hazard area data.
In another aspect, an embodiment of the present application provides an output device for a safety level of a gas well, where the device includes:
the frequency reading module is used for reading failure frequency of a barrier component of the gas well, and the barrier component is used for avoiding leakage of the gas well;
the probability output module is used for outputting the leakage probability of the gas well according to the failure frequency of the barrier component;
the data generation module is used for generating a predicted hazard data set of the gas well, wherein the predicted hazard data set comprises predicted casualty data related to the gas well leakage;
and the grade determining module is used for inputting the leakage probability of the gas well and the predicted hazard data set into a grade determining function, and acquiring the safety grade of the gas well output by the grade determining function.
In some embodiments, the rank determination module comprises:
the first determining submodule is used for determining the risk level of the gas well leakage according to the probability of the gas well leakage;
the second determining submodule is further used for determining a predicted hazard level of the gas well leaking according to the predicted hazard data set, and the hazard level is used for indicating the predicted hazard degree of the gas well leaking;
and the third determining submodule is used for determining the safety level of the gas well according to the risk level and the hazard level.
In some embodiments, the third determining sub-module is configured to:
acquiring a safety grade division standard, wherein the safety grade division standard is used for indicating a safety grade corresponding to a safety value, and the safety value is used for indicating the safety degree of a gas well;
multiplying the value corresponding to the risk grade and the value corresponding to the hazard grade to obtain a safety value of the gas well;
and determining the safety level of the gas well according to the safety level division standard and the safety value of the gas well.
In some embodiments, the probability output module comprises:
a channel reading submodule, configured to read n channels of the gas well at which the leakage risk occurs, where an ith channel of the n channels is used to indicate k corresponding to the ith possibility of the leakage occurring in the gas welliA barrier member, and kiA relationship between barrier members, n is a positive integer, i is a positive integer less than or equal to n, kiIs a positive integer;
a probability calculation submodule for reading the kiA barrier member, said kiThe relationship between the barrier members and said kiCalculating the leakage probability of the ith channel according to the failure frequency of each barrier component;
and the probability output submodule is used for outputting the leakage probability of the gas well according to the leakage probability of the n channels.
In some embodiments, the probability output submodule is configured to:
calculating the sum of the probabilities of leakage of the n channels;
and outputting the sum of the probabilities of the leakage of the n channels as the probability of the leakage of the gas well.
In some embodiments, the data generation module comprises:
the information reading sub-module is used for reading peripheral population information and gas well production information of the gas well, the peripheral population information is used for indicating personnel residence information and personnel activity information in a nearby area of the gas well, and the nearby area is used for indicating an area with a specified radius and taking the gas well as a circle center;
and the data generation submodule is used for generating the predicted hazard data set according to the surrounding population information and the gas well production information.
In some embodiments, the data generation submodule is to:
generating expected explosion damage area data and poisoning damage area data according to the gas well production information, wherein the explosion damage area data are used for indicating areas of casualties of the gas well caused by gas explosion due to gas leakage, and the poisoning damage area data are used for indicating areas of the gas well poisoned by personnel caused by the gas leakage;
and generating the predicted hazard data set according to the surrounding human habitation information, the explosion hazard area data and the poisoning hazard area data.
In yet another aspect, the present application provides a computer device, which includes a processor and a memory, where the memory stores a computer program, and the computer program is loaded and executed by the processor to implement the output method for the safety level of the gas well.
In a further aspect, the present application provides a computer-readable storage medium, in which a computer program is stored, and the computer program is loaded and executed by a processor to implement the output method for the safety level of the gas well.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
the method and the device have the advantages that the safety level of the gas well is obtained by obtaining the probability of the gas well leakage and the predicted hazard data set and determining the function of the probability of the gas well leakage and the input level of the predicted hazard data set, the probability of the gas well leakage and the consequences caused by the gas well leakage are combined, the safety level of the gas well is calculated quantitatively, and the accuracy of judging the safety of the gas well is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flow chart of a method for outputting a safety level of a gas well provided by an embodiment of the present application;
FIG. 2 is a flow chart of a method for outputting a safety rating of a gas well according to another embodiment of the present application;
FIG. 3 is a schematic illustration of a path through a gas well at risk of leaking according to an embodiment of the present application;
FIG. 4 is a schematic cross-sectional view of a gas well provided by an embodiment of the present application;
FIG. 5 is a schematic diagram of an event tree provided by one embodiment of the present application;
FIG. 6 is a block diagram of an output device for gas well safety rating provided in accordance with an embodiment of the present application;
FIG. 7 is a block diagram of an output device for gas well safety rating provided in accordance with another embodiment of the present application;
FIG. 8 is a block diagram of a computer device provided by one embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of methods consistent with aspects of the present application, as detailed in the appended claims.
According to the method provided by the embodiment of the application, the execution main body of each step can be a computer device, and the computer device refers to an electronic device with data calculation, processing and storage capabilities. The computer device may be a terminal such as a PC (personal computer), a tablet, a smartphone, a wearable device, a smart robot, or the like; or may be a server. The server may be one server or a server cluster.
The technical solution of the present application will be described below by means of several embodiments.
Referring to fig. 1, a flow chart of an output method of a safety level of a gas well provided by an embodiment of the present application is shown. In the present embodiment, the method is mainly exemplified by being applied to the computer device described above. The method may include the steps of: (101-104):
and step 101, reading failure frequency of a barrier component of the gas well, wherein the barrier component is used for preventing the gas well from leaking.
Gas wells refer to wells drilled from the surface to the natural gas layer for the production of natural gas. The gas well wellhead and the gas well can be provided with a gas production tree, a large four-way joint, oil pipe parts, casing parts, a packer and other barrier parts so as to prevent natural gas in the gas well from leaking from the gas well. Each barrier component of the gas well may constitute a barrier system for the gas well for preventing the gas well from leaking through the barrier components distributed throughout the gas well. The frequency of failure refers to the probability that the barrier component of the gas well is lost to avoid the gas well from leaking. In some embodiments, the failure frequency may be 1 per year for barrier components that have failed in gas wells. In other embodiments, the frequency of failure may range from 0.25 to 1 times per year for a significantly damaged barrier component. A significantly damaged barrier component may refer to a barrier component that does not meet the current operating condition requirements. The specific value of the failure frequency can be determined according to experimental data, and the experimental data is used for indicating the relationship between the damage condition of the barrier component and the failure frequency.
In one example, the failure frequency of the barrier component of a gas well is shown in table 1:
TABLE 1
Figure BDA0002452111160000061
Figure BDA0002452111160000071
And 102, outputting the leakage probability of the gas well according to the failure frequency of the barrier component.
And obtaining the leakage probability of the gas well according to the connection relation among the components of the gas well and the failure frequency of the barrier component.
And 103, generating a predicted hazard data set of the gas well with leakage.
The predicted hazard data set may include: expected casualty data associated with gas well leaks. After a gas well leaks, the leaked gas can endanger the health and life of surrounding personnel. The predicted hazard data set may be used to indicate a likely casualty situation in which the gas well is leaking.
And 104, inputting the leakage probability of the gas well and the predicted hazard data set into a grade determination function, and acquiring the safety grade of the gas well output by the grade determination function.
The level determination function refers to a preset function for determining the safety level of the gas well, and the function of the function can be realized by a computer program. After the probability of gas well leakage and the predicted hazard data set are input into the grade determination function, the grade determination function can output the safety grade of the gas well through the logical processing of the probability of gas well leakage and the predicted hazard data set. The safety grades of the gas wells are respectively provided with corresponding grade marks for distinguishing the safety of each grade.
In summary, according to the technical scheme provided by the embodiment of the application, the safety level of the gas well is obtained by acquiring the probability of the gas well leaking and the predicted hazard data set and inputting the probability of the gas well leaking and the predicted hazard data set into the level determining function.
Referring to fig. 2, a flow chart of an output method of the safety level of the gas well provided by an embodiment of the application is shown. In the present embodiment, the method is mainly exemplified by being applied to the computer device described above. The method may include the steps of: (201-207):
step 201, reading failure frequency of a barrier component of a gas well, wherein the barrier component is used for preventing the gas well from leaking.
This step 201 is the same as or similar to the content of step 101 in the embodiment of fig. 1, and is not described here again.
Step 202, reading n channels of the gas well with leakage risks.
The n channels may be used to indicate n possibilities of a gas well leaking, respectively, each possibility involving at least one barrier component. Wherein, the ith channel in the n channels can be used for indicating k corresponding to the ith possibility of leakage of the gas welliA barrier member, and kiA relationship between barrier members, n is a positive integer, i is a positive integer less than or equal to n, kiIs a positive integer.
Referring to fig. 3, a schematic diagram of a path of a gas well at risk of leakage according to an embodiment of the present application is shown. As shown in fig. 3, the passageway 30 relates to barrier components such as packers 31, production casing 32, tubing string 33, cement sheath 34, gas production tree 35, and the like. In the passage 30, the path of gas leakage to the atmosphere includes: packer 31 failure-gas production tree 35 failure-gas leak to atmosphere; reservoir casing 32 failure-cement sheath 34 failure-gas production tree 32 failure-gas leakage to atmosphere; tubing string 33 fails-gas production tree 32 fails-gas leaks to atmosphere. Wherein the packer 31, the oil casing 32-cement sheath 34 and the tubing string 33 are parallel barrier components.
As shown in fig. 4, the failure of packer 31-failure of gas tree 35-gas leak to atmosphere in the embodiment of fig. 3 corresponds to path 41; a tubing string 33 failure-production tree 32 failure-gas leak to atmosphere corresponds to path 42.
In some embodiments, the event tree analysis method is used for obtaining a channel of the gas well with leakage risk. The event tree analysis method refers to a method for deducing possible consequences from an initial event according to the sequence of accident development so as to identify a danger source. In which the logical relationship between a certain accident that may occur and various causes that cause the accident may be represented by a tree diagram, which is also referred to as an event tree. In this embodiment, event tree analysis means to deduce possible consequences (i.e. gas leakage to atmosphere and no gas leakage to atmosphere) according to two possibilities of failure and integrity of each barrier component; and then generating n channels according to the failure component corresponding to the gas leaked to the atmosphere in the event tree.
As shown in fig. 5, the events included in the event tree are: packer failed 51, packer intact 52, production tree-wellhead failed 53, production tree-wellhead intact 54, production casing failed 55, production casing intact 56, cement sheath failed 57, cement sheath intact 58, tubing failed 59, and tubing intact 50. Wherein:
packer failure 51-christmas tree-wellhead failure 53, which can result in gas leakage to the atmosphere;
packer failure 51-christmas tree-wellhead intact 54, no gas leakage to atmosphere;
packer integrity 52-reservoir casing failure 55-cement sheath failure 57-packer failure 51-production tree-wellhead failure 53, which can result in gas leakage to atmosphere;
packer intact 52-reservoir casing failure 55-cement sheath failure 57-packer failed 51-gas production tree-wellhead assembly intact 54, no gas leakage to atmosphere;
packer intact 52-reservoir casing failed 55-cement sheath intact 58, no gas leakage to atmosphere;
packer good 52-reservoir casing good 56-tubing failure 59-production tree-wellhead failure 53, which can result in gas leakage to atmosphere;
packer good 52-reservoir casing good 56-tubing failure 59-gas production tree-wellhead assembly good 54, no gas leakage to atmosphere;
packer intact 52-reservoir intact 56-tubing intact 50, does not result in gas leakage to the atmosphere.
Step 203, read kiA barrier member, kiThe relationship between the barrier members and kiAnd respectively calculating the leakage probability of the ith channel according to the failure frequency of each barrier component.
For the ith channel, according to kiThe relationship between the barrier members, pair kiAnd (4) performing corresponding operation on failure frequencies corresponding to the barrier components respectively, and calculating the leakage probability of the ith channel.
In one example, the failure frequencies of packer 31, production casing 32, tubing string 33, cement sheath 34, and production tree 35 in the embodiment of FIG. 3 are: p1、P2、P3、P4、P5. Probability P of leakage of the channel0=(P1∪P3∪(P2∩P4)∩P5)。
And step 204, outputting the leakage probability of the gas well according to the leakage probability of the n channels.
In some embodiments, the sum of the probabilities of the n channels leaking is output as the probability of the gas well leaking by calculating the sum of the probabilities of the n channels leaking.
Optionally, the leakage probabilities corresponding to the n channels are respectively: p1、P2、P3……PnIf the gas well leaks, the probability P is P1+P2+P3……+Pn
And step 205, reading the surrounding population information and the gas well production information of the gas well.
The surrounding population information may be used to indicate population information and activity information for people in a vicinity of the gas well, and the vicinity may be used to indicate a region of a specified radius centered on the gas well. The surrounding human occupancy information may include distribution of people and human activity information for working in the vicinity, and distribution of people and human activity information for living in the vicinity. The gas well production information may include a gas well production plan and gas well operating conditions. Peripheral human residence information and gas well production information can be obtained by inputting data by related technical personnel, and can also be obtained by calling information stored in the storage unit, and the embodiment of the application does not limit the information.
It should be noted that the specified radius may be 0.8 km, 1 km, 5 km, 10 km, or 20 km. The specific value of the designated radius can be set by a person skilled in the relevant art according to actual conditions, and the embodiment of the present application does not limit this.
And step 206, generating a predicted hazard data set according to the surrounding population information and the gas well production information.
After the surrounding human residence information and the gas well production information are read, the possible damage of the gas outlet well caused by leakage and the range and the degree of the damaged area can be estimated, so that the casualties possibly caused by the leakage of the gas outlet well can be estimated, and a predicted damage data set can be generated.
In some embodiments, this step 206 may include the steps of:
1. according to the production information of the gas well, generating expected explosion damage area data and poisoning damage area data, wherein the explosion damage area data are used for indicating the areas of casualties of the gas well caused by gas explosion due to gas leakage, and the poisoning damage area data are used for indicating the areas of the gas well caused by personnel poisoning due to gas leakage.
2. And generating a predicted hazard data set according to the surrounding human habitation information, the explosion hazard area data and the poisoning hazard area data.
The gas well production information can comprise the production schedule of the gas well, the daily production of the gas well and the personnel information required to be invested in each link of the gas well production. Gas wells may be vented of toxic gases such as hydrogen sulfide. According to the production information of the gas well, explosion damage area data and poison damage area data can be generated. According to the surrounding human habitation information, the explosion injury area data and the poisoning injury area data, casualty conditions corresponding to gas explosion caused by gas well leakage and casualty conditions corresponding to poisoning can be estimated. The larger the leakage of the gas well is, the higher the data of the explosion damage area and the data of the poison damage area are.
The corresponding relation between the explosion and the injury degree of the human body can be obtained through experiments and statistical investigation. In one example, the correspondence between explosion and injury level is shown in table 2:
TABLE 2
Figure BDA0002452111160000101
Figure BDA0002452111160000111
In one example, the correspondence between the hydrogen sulfide content and the potential effect of hydrogen sulfide is shown in Table 3:
TABLE 3
Figure BDA0002452111160000112
In some embodiments, when the concentration of hydrogen sulfide is 100ppm, the radius of the poisoned region may be calculated with reference to equation one as follows:
the formula I is as follows:
Xm=(8.404nQm)0.6258
in some embodiments, when the concentration of hydrogen sulfide is 500ppm, the radius of the poisoned region may be calculated with reference to equation two below:
the formula II is as follows:
Xm=(2.404nQm)0.6258
wherein, XmRepresents the radius of the poisoned area; n represents the percentage of the number of hydrogen sulfide molecules in the gas; qmIndicating the amount of gas leaked under standard atmospheric pressure and 15.6 degrees celsius.
And step 207, inputting the leakage probability of the gas well and the predicted hazard data set into a grade determination function, and acquiring the safety grade of the gas well output by the grade determination function.
And inputting the leakage probability of the gas well and the predicted hazard data set into a grade determination function, wherein the grade determination function can output the safety grade of the gas well.
In some embodiments, a rank determination function to:
1. determining the risk level of the gas well leakage according to the probability of the gas well leakage;
2. determining a predicted hazard level of gas well leakage according to the predicted hazard data set, wherein the hazard level is used for indicating the predicted hazard degree of gas well leakage;
3. and determining the safety level of the gas well according to the risk level and the hazard level.
By looking up the table, the risk level corresponding to the probability of the gas well leakage and the hazard level corresponding to the hazard data set can be determined. And combining the risk grade and the hazard grade to obtain the safety grade of the gas well.
In one example, determining a risk rating for a gas well leaking may be found in table 4:
TABLE 4
Figure BDA0002452111160000121
In one example, determining the predicted hazard level for a gas well leaking may be performed with reference to table 5:
TABLE 5
Figure BDA0002452111160000122
Figure BDA0002452111160000131
In some embodiments, determining a safety level for a gas well based on the risk level and the hazard level may include the steps of:
1. acquiring a safety grade division standard, wherein the safety grade division standard is used for indicating a safety grade corresponding to a safety value, and the safety value is used for indicating the safety degree of the gas well;
2. multiplying the value corresponding to the risk grade and the value corresponding to the hazard grade to obtain a safety value of the gas well;
3. and determining the safety level of the gas well according to the safety level division standard and the safety value of the gas well.
The security level classification standard may be obtained through manual input, or may be obtained from information stored in the storage unit, which is not limited in this embodiment of the application. When the value of the risk level and the value of the hazard level are numbers, the safety value of the gas well may be the product of the value corresponding to the risk level and the value corresponding to the hazard level. And querying a safety level corresponding to the safety value of the gas well from the safety level division standard.
In one example, the correspondence between security values and security levels is shown in table 6:
table 6: gas well risk stratification
Figure BDA0002452111160000132
In one example, the security ranking criteria may refer to table 7:
TABLE 7
Figure BDA0002452111160000141
In summary, according to the technical scheme provided by the embodiment of the application, the risk level and the predicted hazard level of the gas well leakage are respectively determined, then the safety value of the gas well is obtained by combining and calculating the values of the risk level and the hazard level, the safety level of the gas well is comprehensively judged from two aspects of occurrence probability and possibly caused consequences, the risk level is quantitatively calculated according to the failure frequency of the barrier component, and the hazard level is quantitatively determined according to the predicted casualties, so that the obtained safety level is objective, and the reference value is high.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Referring to fig. 6, a block diagram of an output device for gas well safety rating provided by an embodiment of the present application is shown. The device has the function of realizing the output method example of the gas well safety level, and the function can be realized by hardware or by hardware executing corresponding software. The device may be the computer device described above, or may be provided on a computer device. The apparatus 600 may include: a frequency reading module 610, a probability output module 620, a data generation module 630, and a rank determination module 640.
The frequency reading module 610 is used for reading failure frequency of a barrier component of a gas well, and the barrier component is used for preventing the gas well from leaking.
The probability output module 620 is configured to output the probability of the gas well leaking according to the failure frequency of the barrier component.
The data generating module 630 is configured to generate a predicted hazard data set for the gas well that includes predicted casualty data associated with the gas well that is leaking.
The grade determining module 640 is configured to input the probability of the gas well leaking and the predicted hazard data set into a grade determining function, and obtain the safety grade of the gas well output by the grade determining function.
In summary, according to the technical scheme provided by the embodiment of the application, the safety level of the gas well is obtained by acquiring the probability of the gas well leaking and the predicted hazard data set and inputting the probability of the gas well leaking and the predicted hazard data set into the level determining function.
In some embodiments, as shown in fig. 7, the rank determination module 640 includes: a first determination submodule 641, a second determination submodule 642 and a third determination submodule 643.
The first determining submodule 641 is configured to determine a risk level of the gas well leaking according to the probability of the gas well leaking.
The second determining submodule 642 is configured to determine, according to the predicted hazard data set, a predicted hazard level of the gas well leaking, where the hazard level is used to indicate a predicted hazard level of the gas well leaking.
The third determining submodule 643 is configured to determine a safety level of the gas well according to the risk level and the hazard level.
In some embodiments, as shown in fig. 7, the third determining sub-module 643 is configured to:
acquiring a safety grade division standard, wherein the safety grade division standard is used for indicating a safety grade corresponding to a safety value, and the safety value is used for indicating the safety degree of a gas well;
multiplying the value corresponding to the risk grade and the value corresponding to the hazard grade to obtain a safety value of the gas well;
and determining the safety level of the gas well according to the safety level division standard and the safety value of the gas well.
In some embodiments, as shown in fig. 7, the probability output module 620 includes: a channel reading sub-module 621, a probability calculation sub-module 622, and a probability output sub-module 623.
The channel reading submodule 621 is configured to read n channels of the gas well where the gas well is at the risk of leakage, where an ith channel of the n channels is used to indicate k corresponding to the ith possibility of leakage of the gas welliA barrier member, and kiA relationship between barrier members, n is a positive integer, i is a positive integer less than or equal to n, kiIs a positive integer.
The probability calculation submodule 622 for reading the kiA barrier member, said kiThe relationship between the barrier members and said kiAnd respectively calculating the leakage probability of the ith channel according to the failure frequency of each barrier component.
And the probability output sub-module 623 is configured to output the probability of the gas well leakage according to the probability of the leakage occurring in the n channels.
In some embodiments, as shown in FIG. 7, the probability output sub-module 623 is configured to:
calculating the sum of the probabilities of leakage of the n channels;
and outputting the sum of the probabilities of the leakage of the n channels as the probability of the leakage of the gas well.
In some embodiments, as shown in fig. 7, the data generating module 630 includes: an information reading sub-module 631 and a data generating sub-module 632.
The information reading sub-module 631 is configured to read peripheral population information of the gas well and gas well production information, where the peripheral population information is used to indicate personnel residence information and personnel activity information in a region near the gas well, and the near region is used to indicate a region with a specified radius and the gas well is used as a center of the circle.
The data generation submodule 632 is configured to generate the expected hazard data set according to the surrounding human habitation information and the gas well production information.
In some embodiments, as shown in fig. 7, the data generation submodule 632 is configured to:
generating expected explosion damage area data and poisoning damage area data according to the gas well production information, wherein the explosion damage area data are used for indicating areas of casualties of the gas well caused by gas explosion due to gas leakage, and the poisoning damage area data are used for indicating areas of the gas well poisoned by personnel caused by the gas leakage;
and generating the predicted hazard data set according to the surrounding human habitation information, the explosion hazard area data and the poisoning hazard area data.
It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the functional modules is illustrated, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the apparatus may be divided into different functional modules to implement all or part of the functions described above. In addition, the apparatus and method embodiments provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments for details, which are not described herein again.
Referring to fig. 8, a block diagram of a computer device according to an embodiment of the present application is shown. The server is used for implementing the output method of the gas well safety level provided by the embodiment. Specifically, the method comprises the following steps:
the server 800 includes a CPU (Central Processing Unit) 801, a system Memory 804 including a RAM (Random Access Memory) 802 and a ROM (Read-Only Memory) 803, and a system bus 805 connecting the system Memory 804 and the Central Processing Unit 801. The server 800 also includes a basic I/O (Input/Output) system 806 that facilitates transfer of information between devices within the computer, and a mass storage device 807 for storing an operating system 813, application programs 814, and other program modules 812.
The basic input/output system 806 includes a display 808 for displaying information and an input device 809 such as a mouse, keyboard, etc. for user input of information. Wherein the display 808 and the input device 809 are connected to the central processing unit 801 through an input output controller 810 connected to the system bus 805. The basic input/output system 806 may also include an input/output controller 810 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, input-output controller 810 also provides output to a display screen, a printer, or other type of output device.
The mass storage device 807 is connected to the central processing unit 801 through a mass storage controller (not shown) connected to the system bus 805. The mass storage device 807 and its associated computer-readable media provide non-volatile storage for the server 800. That is, the mass storage device 807 may include a computer-readable medium (not shown) such as a hard disk or CD-ROM (Compact disk Read-Only Memory) drive.
Without loss of generality, the computer-readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash Memory or other solid state Memory technology, CD-ROM, DVD (Digital Video Disc) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will appreciate that the computer storage media is not limited to the foregoing. The system memory 804 and mass storage 807 described above may be collectively referred to as memory.
The server 800 may also operate as a remote computer connected to a network via a network, such as the internet, according to various embodiments of the present application. That is, the server 800 may be connected to the network 812 through the network interface unit 811 coupled to the system bus 805, or may be connected to other types of networks or remote computer systems (not shown) using the network interface unit 811.
In some embodiments, a computer-readable storage medium is also provided, in which a computer program is stored, which, when being executed by a processor, is adapted to carry out the above-mentioned method of outputting a safety level of a gas well.
Optionally, the computer-readable storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a Solid State Drive (SSD), or an optical disc. The Random Access Memory may include a resistive Random Access Memory (ReRAM) and a Dynamic Random Access Memory (DRAM).
In some embodiments, a computer program product is also provided for implementing the above-described method for outputting a safety level of a gas well when the computer program product is executed by a processor.
It should be understood that reference to "a plurality" herein means two or more. Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (10)

1. The output method of the safety level of the gas well is characterized by being applied to computer equipment and comprising the following steps:
reading failure frequency of a barrier component of a gas well, wherein the barrier component is used for preventing the gas well from leaking;
outputting the probability of leakage of the gas well according to the failure frequency of the barrier component;
generating a projected hazard data set for the gas well leaking, the projected hazard data set including projected casualty data associated with the gas well leaking;
and inputting the leakage probability of the gas well and the predicted hazard data set into a grade determination function, and acquiring the safety grade of the gas well output by the grade determination function.
2. The method of claim 1, wherein the rank determination function is configured to:
determining the risk level of the gas well leakage according to the probability of the gas well leakage;
determining a predicted hazard level of the gas well for the gas well to leak according to the predicted hazard data set, wherein the hazard level is used for indicating a predicted hazard level of the gas well to leak;
and determining the safety level of the gas well according to the risk level and the hazard level.
3. The method of claim 2, wherein determining a safety rating for the gas well based on the risk rating and the hazard rating comprises:
acquiring a safety grade division standard, wherein the safety grade division standard is used for indicating a safety grade corresponding to a safety value, and the safety value is used for indicating the safety degree of a gas well;
multiplying the value corresponding to the risk grade and the value corresponding to the hazard grade to obtain a safety value of the gas well;
and determining the safety level of the gas well according to the safety level division standard and the safety value of the gas well.
4. The method of claim 1, wherein outputting the probability of the gas well leaking based on the frequency of failure of each barrier component comprises:
reading n channels with leakage risks of the gas well, wherein the ith channel in the n channels is used for indicating k corresponding to the ith possibility of leakage of the gas welliA barrier member, and kiA relationship between barrier members, n is a positive integer, i is a positive integer less than or equal to n, kiIs a positive integer;
reading the kiA barrier member, said kiThe relationship between the barrier members and said kiCalculating the leakage probability of the ith channel according to the failure frequency of each barrier component;
and outputting the leakage probability of the gas well according to the leakage probability of the n channels.
5. The method of claim 4, wherein outputting the probability of the gas well leaking according to the probability of the n channels leaking comprises:
calculating the sum of the probabilities of leakage of the n channels;
and outputting the sum of the probabilities of the leakage of the n channels as the probability of the leakage of the gas well.
6. The method of any one of claims 1 to 5, wherein the generating the predicted hazard data set for the gas well leaking comprises:
reading peripheral population information and gas well production information of the gas well, wherein the peripheral population information is used for indicating personnel residence information and personnel activity information in a near area of the gas well, and the near area is used for indicating an area with a specified radius taking the gas well as a circle center;
and generating the predicted hazard data set according to the surrounding population information and the gas well production information.
7. The method of claim 6, wherein generating the projected hazard data set from the surrounding population information and the gas well production information comprises:
generating expected explosion damage area data and poisoning damage area data according to the gas well production information, wherein the explosion damage area data are used for indicating areas of casualties of the gas well caused by gas explosion due to gas leakage, and the poisoning damage area data are used for indicating areas of the gas well poisoned by personnel caused by the gas leakage;
and generating the predicted hazard data set according to the surrounding human habitation information, the explosion hazard area data and the poisoning hazard area data.
8. An output device for gas well safety rating, the device comprising:
the frequency reading module is used for reading failure frequency of a barrier component of the gas well, and the barrier component is used for avoiding leakage of the gas well;
the probability output module is used for outputting the leakage probability of the gas well according to the failure frequency of the barrier component;
the data generation module is used for generating a predicted hazard data set of the gas well, wherein the predicted hazard data set comprises predicted casualty data related to the gas well leakage;
and the grade determining module is used for inputting the leakage probability of the gas well and the predicted hazard data set into a grade determining function, and acquiring the safety grade of the gas well output by the grade determining function.
9. A computer device comprising a processor and a memory, the memory having stored therein a computer program that is loaded and executed by the processor to implement the method of outputting a safety rating for a gas well as claimed in any of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored, which is loaded and executed by a processor to implement the output method for gas well safety rating as claimed in any one of claims 1 to 7.
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