CN111798131A - Safety risk monitoring method for carbon dioxide flooding injection-production system - Google Patents
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- CN111798131A CN111798131A CN202010638942.8A CN202010638942A CN111798131A CN 111798131 A CN111798131 A CN 111798131A CN 202010638942 A CN202010638942 A CN 202010638942A CN 111798131 A CN111798131 A CN 111798131A
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 53
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 title claims abstract description 35
- 238000000034 method Methods 0.000 title claims abstract description 35
- 229910002092 carbon dioxide Inorganic materials 0.000 title claims abstract description 28
- 239000001569 carbon dioxide Substances 0.000 title claims abstract description 17
- 238000012544 monitoring process Methods 0.000 title claims abstract description 17
- 238000002347 injection Methods 0.000 claims abstract description 27
- 239000007924 injection Substances 0.000 claims abstract description 27
- 238000004458 analytical method Methods 0.000 claims abstract description 20
- 239000011159 matrix material Substances 0.000 claims abstract description 13
- 238000012502 risk assessment Methods 0.000 claims abstract description 5
- 238000012163 sequencing technique Methods 0.000 claims abstract description 5
- 238000006073 displacement reaction Methods 0.000 claims description 19
- 238000005516 engineering process Methods 0.000 claims description 7
- 230000035772 mutation Effects 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 4
- 230000015572 biosynthetic process Effects 0.000 description 5
- 239000007789 gas Substances 0.000 description 4
- 230000007797 corrosion Effects 0.000 description 3
- 238000005260 corrosion Methods 0.000 description 3
- 239000005431 greenhouse gas Substances 0.000 description 3
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 2
- 229910052799 carbon Inorganic materials 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 230000001808 coupling effect Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 230000009919 sequestration Effects 0.000 description 2
- 238000010792 warming Methods 0.000 description 2
- 230000035425 carbon utilization Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000000556 factor analysis Methods 0.000 description 1
- 238000009533 lab test Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention discloses a safety risk monitoring method for a carbon dioxide flooding injection-production system, which comprises the following steps: (1) inputting service parameters of a tubular column of the injection and production well; (2) analyzing risk sources; (3) and (3) risk source management: arranging information of risk sources and corresponding control measures; (4) risk matrix analysis: performing operational analysis through a model in the risk matrix analysis to obtain a risk grade, information description and a failure mode, and forming a complete failure mode library for equipment or a production process; (5) quantitative risk analysis: and sequencing the risk sources, calculating the failure mode ratio, and finding out potential problems according to the failure mode ratio. By the method provided by the invention, the staff can prepare for the risk possibly existing in the carbon dioxide flooding injection and production process, can timely deal with the risk when the risk occurs, can find out the potential risk problem, provides early warning and reduces the loss.
Description
Technical Field
The invention belongs to CO2The technical field of oil displacement, in particular to a safety risk monitoring method for a carbon dioxide oil displacement injection-production system.
Background
Carbon dioxide (CO)2) Is one of the internationally recognized greenhouse gases, and the emission of the greenhouse gases is an important factor causing global warming and sea level rise. In recent years, CO reduction2Emissions have become the most significant international environmental problem. CO 22Capture, transport, utilization and sequestration (CCUS) as a reduction of CO2One of the effective ways of emission is helpful for reducing the emission of greenhouse gases and controlling global warming, has wide application prospect and is more and more valued by the carbon emission reduction industry at home and abroad. With growing demand for carbon utilization and technological development, the CCUS technology has developed rapidly in recent times by converting the industry to CO in exhaust gases2After being trapped and purified, the oil is injected into an oil reservoir to displace oil, so that the recovery ratio is improved, the emission is reduced, and the utilization and the sequestration of carbon are realized. CO 22Stress corrosion sensitivity of the pipe of an injection-production system and a high-risk corrosion mode possibly caused by the sensitivity, a mechanical response mechanism of a shaft pipe column under the multi-field coupling effect, and a propagation rule of shaft structure cracks and interface cracks under the multi-field coupling effect become CO2The key scientific problem of oil displacement. Exploring CO2Key technologies such as a risk factor analysis method and a safety risk monitoring method of an oil displacement injection-production system and the like are established, and complete CO is constructed2The safety risk monitoring method for the injection and production system realizes safety evaluation and risk management of the injection and production system, realizes early warning of potential hazard sources, and can provide reliable guarantee for on-site safety production.
Disclosure of Invention
The invention is toSolves the technical problem of providing CO2The safety risk monitoring method for the oil displacement injection-production system can provide safety guarantee for a carbon dioxide oil removal site.
A safety risk monitoring method for a carbon dioxide flooding injection-production system comprises the following steps:
(1) inputting service parameters of the injection and production well pipe column: recording the service parameters of the injection and production well pipe column and storing the service parameters as a data table;
(2) risk source analysis: identifying CO2Common risk sources in an oil displacement injection and production system are listed, and information of the risk sources is provided for a user to search the risk sources;
(3) and (3) risk source management: arranging information of risk sources and corresponding control measures;
(4) risk matrix analysis: performing operational analysis through a model in the risk matrix analysis to obtain a risk grade, information description and a failure mode, and forming a complete failure mode library for equipment or a production process;
(5) quantitative risk analysis: and sequencing the risk sources, calculating the failure mode ratio, and finding out potential problems according to the failure mode ratio.
Preferably, the service parameters of the injection and production well string in the step (1) include, but are not limited to, at least one of well bore data, process data, gas source data, formation data, equipment data, experimental data or literature data.
Preferably, the identifying CO2Common risk sources in the oil displacement, injection and production system are as follows: CO establishment by utilizing risk factor nonlinear fitting method and cusp mutation theory2Model for identifying risk cause of oil displacement, injection and production, and construction and identification of CO by combining the model and HAZOP technology (risk and operability analysis technology)2And (3) a model of risk sources in the oil displacement, injection and production process.
Preferably, the information of the risk source in step (2) includes a risk type and a risk specific content.
Preferably, the risk sources and the corresponding control measures are sorted in a step-by-step display mode, that is, the risk types, the specific content of the risks and the control measures are sequentially displayed.
Preferably, the method used for ranking the risk sources in step (5) is a risk ranking method.
The invention has the advantages that:
by the method provided by the invention, the staff can prepare for the risk possibly existing in the carbon dioxide flooding injection and production process, can timely deal with the risk when the risk occurs, can find out the potential risk problem, provides early warning, can provide reliable guarantee for on-site safety production, and reduces the loss.
Detailed Description
Example 1
A safety risk monitoring method for a carbon dioxide flooding injection-production system comprises the following steps:
(1) inputting service parameters of the injection and production well pipe column: logging well data, process data, gas source data, formation data, equipment data, experimental data and literature data, and storing the data as a data table; when the data is recorded, data can be extracted from a Word or Excel document and then converted and stored into a required data table; the service parameters of the injection and production well string comprise but are not limited to at least one of well body data, process data, gas source data, stratum data, equipment data, experimental data or literature data, and if more accurate data information exists, the parameters can be input;
(2) risk source analysis: first identifying CO2Common risk sources in an oil displacement, injection and production system are combined with CO2The key link of the oil displacement injection-production system comprehensively considers the mutation points and the rheological points in the theoretical rule, and establishes CO by utilizing a risk factor nonlinear fitting method and a cusp mutation theory2Model of injection-production risk cause, and CO identification construction and identification by combining model and HAZOP technology2Models of risk sources such as corrosion, mechanics, geology, production and the like in the oil displacement, injection and production process; verifying the influence of the dynamic evolution of each risk source on the model through a complex dynamic network modeling method; the sources of risk are then tabulated to enable the staff to prepare for the risk that may exist, a section that listsCO is2Providing common risk sources in an oil displacement injection and production system, providing information of the risk sources, including risk types and specific risk contents, and searching the risk sources by a user; under the condition that a user does not know which type of information the retrieval content belongs to, directly carrying out fuzzy retrieval on all information, and listing all risk source names containing the content according to the result;
(3) and (3) risk factor management: the information of the risk sources and the corresponding control measures are arranged, so that field workers can know the predicted risks, and can clearly know the measures to be taken once an accident occurs, and a step-by-step display mode is adopted in operation, namely after the risk sources are displayed, the risk types, the specific content of the risks and the control measures are sequentially displayed; for example, after clicking a certain record in the risk source, displaying the corresponding risk type, the specific content of the risk and the control measure in sequence; the risk sources can be accurately searched according to the information of the risk sources, such as names, types and the like through the search items; under the condition that a user does not know which type of information the retrieval content belongs to, directly carrying out fuzzy retrieval on all information without selecting a specific retrieval item, and listing all risk source names containing the content according to the result;
(4) risk matrix analysis: performing operational analysis through a model in the risk matrix analysis to obtain the risk grade, information description and failure mode of a risk source, and forming a complete failure mode library for equipment or a production process, wherein the operational analysis comprises the following specific steps:
based on a dangerous source safety risk sequencing model of a multi-stage fuzzy method, a dangerous source occurrence probability grade analysis model of fuzzy decision, a dangerous source consequence severity grade analysis model of multi-stage fuzzy comprehensive judgment, a risk matrix model of 3-order or 5-order type is established according to requirements, the final risk grade of each element in the matrix is the lowest under the default condition, the element is modified according to requirements, and then corresponding failure probability, consequence and risk information description are added to each element; when risk evaluation is carried out, the severity of the consequences of the risk event is qualitatively divided into a plurality of levels relatively, the probability of the risk event is qualitatively divided into a plurality of levels relatively, then the severity is taken as a table column, the probability is taken as a table row, a table is made, qualitative weighting indexes are given at the intersection points of the row and the column, all the weighting indexes form a matrix, and each index represents a risk level;
(5) quantitative risk analysis: sorting the risk sources by adopting a risk sequence number method, calculating the failure mode ratio, and finding out potential problems according to the failure mode ratio; the higher the frequency of occurrence of failure modes is, the larger the proportion of the failure modes is, the higher the probability of occurrence of risk sources is, and the more the ranking is, the more the precaution should be paid more attention to; the failure mode ratio is shown by a two-dimensional or three-dimensional form diagram.
Example 2
A safety risk monitoring method for a carbon dioxide flooding injection-production system comprises the following steps:
(1) according to the knowledge of the injection and production system, the formation data (including formation temperature and formation pressure monitoring data) at a certain time is recorded to form a data table;
(2) CO establishment by utilizing risk factor nonlinear fitting method and cusp mutation theory2Model for identifying risk cause of oil displacement, injection and production, and CO identification by combining the model and HAZOP technology2The model of the risk source in the oil displacement injection and production process is analyzed by the risk source, the temperature and the pressure are determined as the risk source, then the temperature and the pressure are listed, and the risk type and the specific content of the risk are provided, so that the staff can prepare for the possible risk and search the risk source for the user;
(3) the information of the two risk sources of the temperature and the pressure and the corresponding control measures are arranged, so that the site working personnel can know the predicted danger and can clearly know the measures to be taken once an accident occurs, and a step-by-step display mode is adopted in operation,
(4) according to a critical value determined by indoor tests, field experience and literature data, after risk matrix analysis, giving a risk grade and a failure mode when the temperature and the pressure are independent and act together, and adding risk information description;
(5) and (3) after quantitative risk analysis, sequencing the risk sources by adopting a risk sequence number method, calculating the failure mode ratio, finding potential problems according to the failure mode ratio condition, early warning field personnel, and processing the most serious risk source. When a certain risk source never appears, but an accident is generated due to the risk factor or the accident is generated after the risk factor interacts with other risk sources, the risk matrix is analyzed and fed back to the risk factor management, the risk factor management is brought into the risk source, and a worker can guide the subsequent production according to the critical value determined by the laboratory test, the field experience and the literature data.
Claims (6)
1. A safety risk monitoring method for a carbon dioxide flooding injection-production system is characterized by comprising the following steps: the method comprises the following steps:
(1) inputting service parameters of the injection and production well pipe column: recording the service parameters of the injection and production well pipe column and storing the service parameters as a data table;
(2) risk source analysis: identifying CO2Common risk sources in an oil displacement injection and production system are listed, and information of the risk sources is provided for a user to search the risk sources;
(3) and (3) risk source management: arranging information of risk sources and corresponding control measures;
(4) risk matrix analysis: performing operational analysis through a model in the risk matrix analysis to obtain a risk grade, information description and a failure mode, and forming a complete failure mode library for equipment or a production process;
(5) quantitative risk analysis: and sequencing the risk sources, calculating the failure mode ratio, and finding out potential problems according to the failure mode ratio.
2. The carbon dioxide flooding injection-production system safety risk monitoring method according to claim 1, characterized in that: the service parameters of the injection and production well string in the step (1) comprise at least one of well body data, process data, gas source data, stratum data, equipment data, experimental data or literature data.
3. The carbon dioxide flooding injection-production system safety risk monitoring method according to claim 2, characterized in that: the identification of CO2Common risk sources in the oil displacement, injection and production system are as follows: CO establishment by utilizing risk factor nonlinear fitting method and cusp mutation theory2Model for identifying risk cause of oil displacement, injection and production, and CO identification by combining the model and HAZOP technology2And (3) a model of risk sources in the oil displacement, injection and production process.
4. The carbon dioxide flooding injection-production system safety risk monitoring method according to claim 3, characterized in that: the information of the risk source in the step (2) comprises a risk type and risk specific content.
5. The carbon dioxide flooding injection-production system safety risk monitoring method according to claim 4, characterized in that: and the risk source arrangement and the corresponding control measures adopt a step-by-step display mode, namely, the risk types, the specific risk contents and the control measures are sequentially displayed.
6. The carbon dioxide flooding injection-production system safety risk monitoring method according to claim 5, characterized in that: the method for ranking the risk sources in step (5) is a risk ranking number.
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| CN202010638942.8A CN111798131B (en) | 2020-07-06 | 2020-07-06 | Carbon dioxide flooding injection and production system safety risk monitoring method |
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| CN202010638942.8A CN111798131B (en) | 2020-07-06 | 2020-07-06 | Carbon dioxide flooding injection and production system safety risk monitoring method |
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Citations (4)
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|---|---|---|---|---|
| CN101853436A (en) * | 2010-04-30 | 2010-10-06 | 中国环境科学研究院 | Water pollution accident risk source recognition method |
| CN104251812A (en) * | 2013-06-27 | 2014-12-31 | 中国石油化工股份有限公司 | High-acidity gas field wellbore string material optimization evaluation system and method |
| CN105404972A (en) * | 2015-11-30 | 2016-03-16 | 中国石油天然气股份有限公司 | Reservoir development uncertainty research and risk control method |
| CN107403266A (en) * | 2017-07-21 | 2017-11-28 | 西南石油大学 | A kind of wellbore integrity integrated risk quantitative calculation method |
-
2020
- 2020-07-06 CN CN202010638942.8A patent/CN111798131B/en active Active
Patent Citations (4)
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|---|---|---|---|---|
| CN101853436A (en) * | 2010-04-30 | 2010-10-06 | 中国环境科学研究院 | Water pollution accident risk source recognition method |
| CN104251812A (en) * | 2013-06-27 | 2014-12-31 | 中国石油化工股份有限公司 | High-acidity gas field wellbore string material optimization evaluation system and method |
| CN105404972A (en) * | 2015-11-30 | 2016-03-16 | 中国石油天然气股份有限公司 | Reservoir development uncertainty research and risk control method |
| CN107403266A (en) * | 2017-07-21 | 2017-11-28 | 西南石油大学 | A kind of wellbore integrity integrated risk quantitative calculation method |
Non-Patent Citations (3)
| Title |
|---|
| 张诗晨: ""CO2 注采系统安全评价研究"", 《中国优秀硕士学位论文全文数据库（工程科技I辑）》, pages 2 * |
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