CN112163290B - Coiled tubing fatigue analysis system and method - Google Patents
Coiled tubing fatigue analysis system and method Download PDFInfo
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Abstract
The invention provides a continuous oil pipe fatigue analysis system and a continuous oil pipe fatigue analysis method. The analysis system includes: the system comprises a database, a detection reset module, a first data input module, a second data input module, an original construction data processing module and a calculation module; the database stores data; the detection reset module can detect fatigue model data in the database and reset the data; the first data input module can input continuous oil pipe basic data and cutting data, and calculate and input oil pipe cutting data; the second data input module can input basic data of coiled tubing equipment, and calculate and input bending data of each length section of the oil pipe; the original construction data processing module can input the original construction data; the calculation module can calculate the fatigue consumption of the continuous oil pipe according to the data in the database. The analysis method may include performing fatigue analysis using the system described above. The invention can accurately monitor and analyze the fatigue consumption of the continuous oil pipe in real time, has the effects of high analysis speed and high precision, and can reduce the operation error of an analyst.
Description
Technical Field
The invention relates to the technical field of downhole operation of oil and gas fields, in particular to a continuous oil pipe fatigue analysis method and system.
Background
In the underground operation technology, the coiled tubing has the pressure underbalance operation capability, has the advantages of high operation speed, high efficiency, small damage to stratum, low operation cost and the like, and becomes an important technology in the field of unconventional oil and gas exploitation. However, the failure of the coiled tubing directly affects the operation cost and the operation safety, and is a main factor for restricting the further development of the coiled tubing technology. The fatigue of the coiled tubing is analyzed, and the method has important significance in the aspects of production, design, construction safety, cost control and the like of the coiled tubing.
The coiled tubing undergoes plastic deformation of straightening-bending for 6 times in each lifting and lowering process, and continuous bending leads to low cycle fatigue failure of the coiled tubing. The inside of the coiled tubing is also often filled with high-pressure circulating fluid under actual working conditions, and the coiled tubing is more prone to failure under the condition of bending and internal pressure load coupling. Therefore, fatigue analysis of the coiled tubing firstly needs to determine the fatigue damage degree according to the internal pressure and the bending radius born by each section of the coiled tubing when the coiled tubing is bent, and then the fatigue values of each section of the coiled tubing are accumulated by adopting the Miner linear accumulation theory of fatigue damage, so that the fatigue consumption condition of each section of the coiled tubing is judged. However, the two data of the internal pressure and the bending radius born by each section of coiled tubing when being bent can change in real time along with the progress of construction. The existing continuous oil pipe operation equipment has the data acquisition frequency of 1 time/second, can acquire a plurality of construction data such as pressure, displacement and the like, but the existing technology can not directly acquire two data directly related to fatigue analysis, namely the internal pressure and the bending radius born by each section of continuous oil pipe during bending, and can only be calculated through other data.
The data for performing the fatigue analysis of the continuous oil pipe mainly comes from the original construction data collected by the operation equipment, the data quantity to be processed in the analysis process is calculated by taking millions of data as units, and the conventional fatigue analysis method of the continuous oil pipe faces to the huge calculation quantity and needs to consume a great deal of time. In order to ensure the calculation accuracy and not to consume extra time, a real-time analysis calculation mode is generally adopted, and the fatigue analysis of the coiled tubing is synchronously carried out in the whole construction process. However, the real-time analysis and calculation method cannot fully meet the requirements, and the fatigue analysis of the coiled tubing is carried out in many cases by adopting a method of importing original construction data. However, this method is too long, and usually only a method of reducing accuracy is used to shorten the operation time, and in this process, many links also need manual operation by an analyst, which is very time-consuming and tedious.
Disclosure of Invention
The present invention is directed to solving one or more of the problems of the prior art, including the shortcomings of the prior art. For example, it is an object of the present invention to provide a method for greatly improving the efficiency of coiled tubing fatigue analysis.
In order to achieve the above object, the present invention provides a coiled tubing fatigue analysis system. The analysis system includes: the system comprises a database, a detection reset module, a first data entry module, a second data entry module, an original construction data processing module and a calculation module, wherein the database stores: coiled tubing fatigue model data, a fatigue model list table, a coiled tubing usage record table, a coiled tubing length correction table, a coiled tubing bending data table and an extraction data table; the detection and reset module can detect the condition of the continuous oil pipe fatigue model data in the database, and can reset all data except the continuous oil pipe fatigue model data and the fatigue model list table in the database; the first data input module can input basic data and cutting data of the coiled tubing to the coiled tubing using a recording table, and can calculate the residual length of each section of the coiled tubing after cutting, the residual total length of the coiled tubing and the correction length of the coiled tubing in each time period according to the basic data and the cutting data of the coiled tubing, and meanwhile input the calculated information to a coiled tubing length correction table; the second data input module can input basic data of the coiled tubing equipment into the coiled tubing bending data table, and can calculate bending data of each length section of the coiled tubing according to the basic data of the coiled tubing equipment and the data input by the first data input module in the coiled tubing usage record table, and meanwhile, the calculated bending data is input into the coiled tubing bending data table; the original construction data processing module can input processed original construction data into the extraction data table, and the processing comprises at least one of formatting and screening; the calculation module can calculate the fatigue consumption of the continuous oil pipe according to the continuous oil pipe use record table, the continuous oil pipe length correction table, the continuous oil pipe bending data table, the data in the extraction data table and the continuous oil pipe fatigue model data in the database.
According to an exemplary embodiment of the coiled tubing fatigue analysis system of the present invention, the detection reset module may comprise a detection unit and a reset unit, wherein the detection unit is capable of detecting a condition of the coiled tubing fatigue model data in the database; the resetting unit is capable of resetting all data in the database except the coiled tubing fatigue model data and the fatigue model inventory table.
According to an exemplary embodiment of the coiled tubing fatigue analysis system of the present invention, the detection reset module may further comprise a reminder unit for issuing a reminder; the continuous oil pipe fatigue model data are multiple in variety, and each type of continuous oil pipe fatigue model data corresponds to one type of continuous oil pipe; the detection unit can detect the condition of the continuous oil pipe fatigue model data in the database, and the condition comprises the following steps: the detection unit can detect whether a fatigue model list table exists in the database, and sends a prompt that continuous oil pipe fatigue calculation cannot be performed under the condition that the fatigue model list table is not detected; in the case of detecting the fatigue model inventory table, the detection unit can also continue to traverse the coiled tubing fatigue model data table through the records in the fatigue model inventory table and send out a prompt for the detection result.
According to an exemplary embodiment of the coiled tubing fatigue analysis system of the present invention, the raw construction data processing module is further capable of determining whether there is redundant data that is repeated for the entered raw construction data, and deleting the redundant data if it is determined that there is redundant data.
According to an exemplary embodiment of the coiled tubing fatigue analysis system of the present invention, the plurality of types of coiled tubing fatigue model data are provided, and each type of coiled tubing fatigue model data corresponds to a model of coiled tubing.
According to an exemplary embodiment of the coiled tubing fatigue analysis system of the present invention, the raw construction data may include various construction parameters of the coiled tubing equipment collected on-line during the construction process.
According to an exemplary embodiment of the coiled tubing fatigue analysis system of the present invention, the first data entry module may comprise a first entry unit and a second entry unit, wherein the first entry unit is capable of entering base data of the coiled tubing into a coiled tubing usage record table, the base data of the coiled tubing comprising coiled tubing coil number, steel grade, diameter, number of segments, activation date, and respective segment lengths and wall thicknesses; the second recording unit can record the cutting data to the coiled tubing usage record list, wherein the cutting data comprises the cutting length and time in the use process of the coiled tubing.
According to an exemplary embodiment of the coiled tubing fatigue analysis system of the present invention, the raw construction data processing module may comprise a determination unit and a third logging unit, wherein. The judging unit can compare the original construction data to be input by the original construction data processing module with the data input by the first data input module so as to judge whether the original construction data meets the importing requirement; the third input unit can input the original construction data meeting the importing requirements into the extraction data table.
According to an exemplary embodiment of the coiled tubing fatigue analysis system of the present invention, the calculating module calculating the fatigue consumption of the coiled tubing may comprise: the calculation module carries out position correction on the data in the continuous oil pipe length correction table according to the construction data in the extraction data table; the calculation module inquires bending data in the coiled tubing bending data table and basic data of the coiled tubing in the coiled tubing use record table according to the corrected position, and calculates the bending radius and the born internal pressure of the coiled tubing when the coiled tubing is bent according to the inquired data; and the calculation module inquires a corresponding fatigue consumption value in the continuous oil pipe fatigue model data table according to the calculated bending radius and the internal pressure.
According to an exemplary embodiment of the coiled tubing fatigue analysis system of the present invention, the analysis system may further comprise an output module capable of outputting and displaying the fatigue consumption value calculated by the calculation module.
The invention further provides a continuous oil pipe fatigue analysis method. The analysis method may include performing a coiled tubing fatigue analysis using the coiled tubing fatigue analysis system described above.
Compared with the prior art, the invention has the beneficial effects that:
(1) The continuous oil pipe fatigue analysis method has the advantages of high analysis speed and high precision.
(2) The continuous oil pipe fatigue analysis system can realize data query, screening and visual analysis according to the needs of analysts, thereby greatly improving the efficiency of continuous oil pipe fatigue analysis and reducing the labor intensity and operation errors of the analysts.
(3) The invention can realize batch processing of massive original construction data, greatly improves the fatigue analysis efficiency of the continuous oil pipe, and reduces the operation and operation errors of analysts.
Drawings
The foregoing and other objects and features of the invention will become more apparent from the following description taken in conjunction with the accompanying drawings in which:
FIG. 1 shows a schematic diagram of a coiled tubing fatigue analysis system according to the present invention;
FIG. 2 shows a schematic flow chart of the coiled tubing fatigue analysis method of the present invention;
figure 3 shows a schematic representation of the fatigue distribution of the coiled tubing of the present invention.
Detailed Description
Hereinafter, the coiled tubing fatigue analysis system and method of the present invention will be described in detail with reference to the accompanying drawings and exemplary embodiments.
In one aspect, the invention provides a coiled tubing fatigue analysis system. The analysis system may be based on a VBA module. Excel is widely applied in engineering technology work, access database files in mdb format are adopted by continuous oil pipe equipment to store original construction data, and VBA modules are adopted to facilitate interactive application of Excel and Access, so that operation is simple.
In one exemplary embodiment of the present invention, as shown in FIG. 1, a coiled tubing fatigue analysis system may comprise: the system comprises an operation database (also called a database), an operation database detection and reset module (also called a detection and reset module), a continuous oil pipe basic data input module (also called a first data input module), a continuous oil pipe equipment basic data input module (also called a second data input module), an original construction data importing, formatting, screening and storing module (also called an original construction data processing module), a continuous oil pipe fatigue consumption calculating module (also called a calculating module) and a report generating module (also called an output module).
The operational database may be in mdb format, which may include: each model of continuous oil pipe fatigue model data table, fatigue model list table, user information table, new loading file table, loaded file table, import failure file table, continuous oil pipe use record table, continuous oil pipe bending data table, continuous oil pipe length correction table, extraction data table and calculation result table. For example, the continuous oil pipe fatigue model data is directly embedded into a mdb format database file, so that management of various continuous oil pipe fatigue model data can be conveniently realized.
The operation database detection and reset module can be used for detecting and resetting the operation database.
And the continuous oil pipe basic data input module can be used for inputting continuous oil pipe basic data.
And the continuous oil pipe equipment basic data input module can be used for inputting continuous oil pipe equipment basic data.
The original construction data importing, formatting, screening and storing module can be used for importing, formatting, screening and storing the original construction data.
And the continuous oil pipe fatigue consumption calculation module can be used for calculating the continuous oil pipe fatigue consumption.
And the report generation module can be used for generating a continuous oil pipe fatigue report.
In this embodiment, the operation database detection and reset module may include the following units:
a database detection unit (which may be referred to as a detection unit) may be used to detect coiled tubing fatigue model data in the operational database.
A database resetting unit (which may be referred to as a resetting unit) operable to reset all data in the operational database except the coiled tubing fatigue model data table and the fatigue model inventory table.
In this embodiment, the coiled tubing base data entry module may comprise the following elements:
the coiled tubing activation recording unit (which can be called as a first input unit) can be used for setting and storing serial numbers, steel grades, diameters, number of segments, lengths and wall thicknesses of all segments and activation time of the coiled tubing.
The coiled tubing cutting recording unit (which can be called as a second recording unit) can be used for setting and saving the cutting length and time in the use process of the coiled tubing.
The continuous oil pipe information display unit can be used for inquiring and displaying the data input by the first input unit and the second input unit.
In this embodiment, the coiled tubing unit base data entry module may comprise: a reset unit operable to reset and save (i.e., re-import) coiled tubing unit base data.
In this embodiment, the coiled tubing unit base data may include: gooseneck radius, drum inside width, drum mandrel diameter, and drum diameter.
In this embodiment, the raw construction data importing, formatting, screening and storing module may include the following units:
and the file path unit can be used for searching and screening the original construction data file.
The imported data unit can be used for importing, formatting, screening and storing the original construction data.
In this embodiment, the coiled tubing fatigue consumption calculation module may include the following units:
the brand new calculation unit is used for performing fatigue consumption calculation on all the recorded original construction data;
and a supplementary calculation unit for performing analysis calculation only on the original construction data part which is not subjected to fatigue consumption calculation.
In the embodiment, the frequency of data acquisition of the continuous oil pipe equipment on the construction parameters is 1 time/second, and the data acquisition runs through the whole construction process; the continuous oil pipe is calculated according to 1 well time from well entering to well exiting, according to the construction working condition of the continuous oil pipe in shale gas, the average construction time length of each well time is about 2 days, the average service life of the continuous oil pipe is 60 well times, one coil of continuous oil pipe generates tens of millions of original construction data in the whole service period, and the data are divided into dozens to hundreds of mdb format database files according to different equipment for storage. Each piece of data comprises construction date, time, circulating pressure, wellhead pressure, finger weight, speed, depth, flow and the like.
In other words, the original construction data can be various construction parameters of the coiled tubing equipment, which are collected online in the construction process, and can be stored in a mdb database file format, wherein the data comprise construction date, time, circulating pressure, wellhead pressure, weight, speed, depth, flow, accumulated flow and the like.
In this embodiment, the report generating module may include the following units:
the continuous oil pipe fatigue analysis result display unit can be used for displaying the maximum fatigue position, the maximum fatigue degree and the average fatigue degree of the continuous oil pipe.
And the continuous oil pipe fatigue distribution display unit can be used for displaying the continuous oil pipe fatigue distribution map.
The coiled tubing single-point position use record inquiring unit can be used for inquiring and displaying coiled tubing construction records of the user-set positions.
And the continuous oil pipe fatigue dangerous point query unit is used for querying and displaying continuous oil pipe position information exceeding the fatigue consumption dangerous value set by a user.
In yet another aspect, the invention provides a method for coiled tubing fatigue analysis.
In one exemplary embodiment of the coiled tubing fatigue analysis method of the present invention, the analysis method may include performing a coiled tubing fatigue analysis using the coiled tubing fatigue analysis system described above.
In another exemplary embodiment of the coiled tubing fatigue analysis method of the present invention, as shown in fig. 2, the coiled tubing fatigue analysis method may include the steps of:
step 1: establishing a VBA-based continuous oil pipe fatigue analysis system, wherein the analysis system comprises: the system comprises an operation database, an operation database detection and reset module, a coiled tubing basic data input module, a coiled tubing equipment basic data input module, an original construction data importing, formatting, screening and storing module, a coiled tubing fatigue consumption calculation module and a report generation module. The functions of each module may be the same as those of each module in the above-described exemplary embodiment of the coiled tubing fatigue analysis system.
Step 2: the detection and the resetting of the operation database can be realized by calling the detection and the resetting of the operation database. VBA reference ActiveX Data Objects (ADO), the connection of the module to the running database can be established by adodb. When detecting the operation database, inquiring whether the operation database contains a fatigue model list table or not, and if not, prompting a user that the fatigue calculation of the continuous oil pipe cannot be performed; if the fatigue model list table is included, traversing each continuous oil pipe fatigue model data table in the operation database through records in the fatigue model list table, and prompting a user to detect a result. The operation database is reset, and all data TABLEs except the fatigue model list TABLE and the continuous oil pipe fatigue model data TABLE in the operation database can be deleted and newly built by utilizing SQL DROP TABLE and SQL CREATE TABLE sentences, so that the purpose of deleting the original continuous oil pipe data is achieved, and the method is used for completely analyzing the fatigue consumption of another continuous oil pipe.
Step 3: the coiled tubing base data is entered, and the data can be entered through a coiled tubing base data entry module. And (3) the coiled tubing coil number, the steel grade, the diameter, the number of segments, the starting date, the length and the wall thickness of each segment, and the cutting length and the cutting date of the coiled tubing in the using process, which are set by a user, are calculated, the residual length of each segment after the coiled tubing is cut, the residual total length of the coiled tubing and the correction length of the coiled tubing in each time period are calculated through the data, and the data are stored into a coiled tubing use record table and a coiled tubing length correction table in an operation database through SQL sentences.
Step 4: the base data of the continuous oil pipe equipment is recorded, and can be recorded through a base data recording module of the continuous oil pipe equipment. And (3) calculating bending data of each length section of the continuous oil pipe according to the radius of the gooseneck, the width of the inner side of the roller, the diameter of the roller mandrel and the diameter of the roller which are set by a user and the basic data of the continuous oil pipe obtained in the step (3), and storing the bending data into a continuous oil pipe bending data table in an operation database.
Step 5: the steps of importing, formatting, screening and storing the original construction data can be performed by the original construction data importing, formatting, screening and storing module.
Firstly, a storage path of an original construction data file can be found through an application, file dialog (msoFile dialogFile Picker) instruction, file names and creation dates of all original construction data files of the file path are stored into a new loading file table of an operation database through SQL sentences, and the file names are compared with records in the loaded file table, so that a file list of the original construction data file to be imported is formed;
sequentially opening the original construction data files by using FOR NEXT circulating sentences in the VBA according to the original construction data file list to be imported, reading the original construction data, comparing the basic data of the continuous oil pipe in the operation database to judge whether the original construction data meets the importing requirements, closing the original construction data files if the original construction data does not meet the importing requirements, and storing file names and reasons into an importing failure file list of the continuous oil pipe in the operation database; if the original data meets the importing requirement, data screening and formatting are carried out, the processed construction data is stored in an extraction data table of an operation database, and the file name of the original construction data is stored in a loaded file table. Through the circulation process, batch importing of the original construction data is realized.
Step 6: the coiled tubing fatigue consumption is calculated, and this step can be performed by a coiled tubing fatigue consumption calculation module. Reading a record of a data table from an operation database through SQL sentences, inquiring corresponding data in a coiled tubing length correction table in the operation database according to construction date, time and depth information in the record, performing position correction (correction of the depth position of the coiled tubing in a shaft after cutting, for example, the position of the coiled tubing is corrected to a position corresponding to 5000 meters after cutting the coiled tubing corresponding to the original 5000 meters deep shaft by 100 meters), inquiring bending data in a coiled tubing bending data table according to the corrected position information, inquiring information of steel grade, wall thickness, pipe diameter and weld joint points of the section of the coiled tubing in a coiled tubing usage record table, and calculating the bending radius and the born internal pressure of the section of the coiled tubing when the section of the coiled tubing is bent after acquiring the data information; and finally, finding out a corresponding continuous oil pipe fatigue model data table according to the steel grade, the wall thickness and the pipe diameter information of the continuous oil pipe, inquiring a corresponding fatigue consumption value in the continuous oil pipe fatigue model data table according to the calculated bending radius and the internal pressure data, and storing the value of the fatigue consumption value into the record of the extraction data table to finish the fatigue consumption calculation of the record. The fatigue consumption calculation of all records in the database extraction data table is completed by using the FOR NEXT loop statement.
Step 7: the report is produced, and the step can be realized through a report generating module. And classifying and summarizing all records of the data table extracted from the operation database according to the positions of the continuous oil pipes through SQL sentences, storing the results into a calculation result table, importing Excel, and drawing a continuous oil pipe fatigue distribution diagram through an Activesheet.shapes.AddChart.select instruction, as shown in figure 3.
In summary, the coiled tubing fatigue analysis system and method of the present invention have the following advantages: the invention can accurately monitor and analyze the fatigue consumption of the continuous oil pipe in real time, has the effects of high analysis speed and high precision, and can reduce the operation and operation errors of analysts.
Although the present invention has been described above by way of the combination of the exemplary embodiments, it should be apparent to those skilled in the art that various modifications and changes can be made to the exemplary embodiments of the present invention without departing from the spirit and scope defined in the appended claims.
Claims (8)
1. A coiled tubing fatigue analysis system, the analysis system comprising: the system comprises a database, a detection reset module, a first data entry module, a second data entry module, an original construction data processing module and a calculation module, wherein,
the database stores: coiled tubing fatigue model data, a fatigue model list table, a coiled tubing usage record table, a coiled tubing length correction table, a coiled tubing bending data table and an extraction data table;
the detection and reset module can detect the condition of the continuous oil pipe fatigue model data in the database, and can reset all data except the continuous oil pipe fatigue model data and the fatigue model list table in the database;
the first data input module can input basic data and cutting data of the coiled tubing to the coiled tubing using a recording table, and can calculate the residual length of each section of the coiled tubing after cutting, the residual total length of the coiled tubing and the correction length of the coiled tubing in each time period according to the basic data and the cutting data of the coiled tubing, and meanwhile input the calculated information to a coiled tubing length correction table;
the second data input module can input basic data of the coiled tubing equipment into the coiled tubing bending data table, and can calculate bending data of each length section of the coiled tubing according to the basic data of the coiled tubing equipment and the data input by the first data input module in the coiled tubing usage record table, and meanwhile, the calculated bending data is input into the coiled tubing bending data table;
the original construction data processing module can input processed original construction data into the extraction data table, and the processing comprises at least one of formatting and screening;
the calculation module can calculate the fatigue consumption of the continuous oil pipe according to the continuous oil pipe use record table, the continuous oil pipe length correction table, the continuous oil pipe bending data table, the data in the extraction data table and the continuous oil pipe fatigue model data in the database;
the detection reset module comprises a detection unit and a reset unit, wherein the detection unit can detect the condition of continuous oil pipe fatigue model data in a database; the resetting unit is capable of resetting all data in the database except the continuous oil pipe fatigue model data and the fatigue model list table;
the detection reset module further comprises a reminding unit used for sending out a prompt;
the continuous oil pipe fatigue model data are multiple in variety, and each type of continuous oil pipe fatigue model data corresponds to one type of continuous oil pipe;
the detection unit can detect the condition of the continuous oil pipe fatigue model data in the database, and the condition comprises the following steps: the detection unit can detect whether a fatigue model list table exists in the database, and sends a prompt that continuous oil pipe fatigue calculation cannot be performed under the condition that the fatigue model list table is not detected; in the case of detecting the fatigue model inventory table, the detection unit can also continue to traverse the coiled tubing fatigue model data table through the records in the fatigue model inventory table and send out a prompt for the detection result.
2. The coiled tubing fatigue analysis system of claim 1, wherein the raw construction data processing module is further capable of determining whether repeated redundant data exists for the entered raw construction data and, if so, deleting the redundant data.
3. The coiled tubing fatigue analysis system according to claim 1, wherein the first data entry module comprises a first entry unit and a second entry unit, wherein,
the first input unit can input basic data of the continuous oil pipe into a continuous oil pipe use record table, wherein the basic data of the continuous oil pipe comprise a continuous oil pipe coil number, a steel grade, a diameter, a segmentation number, an enabling date, and the length and the wall thickness of each segmentation;
the second recording unit can record the cutting data to the coiled tubing usage record list, wherein the cutting data comprises the cutting length and time in the use process of the coiled tubing.
4. The coiled tubing fatigue analysis system of claim 1, wherein the raw construction data comprises construction parameters of coiled tubing equipment collected on-line during construction.
5. The coiled tubing fatigue analysis system according to claim 1, wherein the raw construction data processing module comprises a decision unit and a third entry unit, wherein,
the judging unit can compare the original construction data to be input by the original construction data processing module with the data input by the first data input module so as to judge whether the original construction data meets the importing requirement;
the third input unit can input the original construction data meeting the importing requirements into the extraction data table.
6. The coiled tubing fatigue analysis system of claim 1, wherein the calculation module calculating the fatigue consumption of the coiled tubing comprises:
the calculation module carries out position correction on the data in the continuous oil pipe length correction table according to the construction data in the extraction data table;
the calculation module inquires bending data in the coiled tubing bending data table and basic data of the coiled tubing in the coiled tubing use record table according to the corrected position, and calculates the bending radius and the born internal pressure of the coiled tubing when the coiled tubing is bent according to the inquired data;
and the calculation module inquires a corresponding fatigue consumption value in the continuous oil pipe fatigue model data table according to the calculated bending radius and the internal pressure.
7. The coiled tubing fatigue analysis system according to claim 1, further comprising an output module capable of outputting and displaying the fatigue consumption value calculated by the calculation module.
8. A method of analyzing coiled tubing fatigue, characterized in that the method comprises performing coiled tubing fatigue analysis using the coiled tubing fatigue analysis system according to any of claims 1 to 7.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5826654A (en) * | 1996-01-26 | 1998-10-27 | Schlumberger Technology Corp. | Measuring recording and retrieving data on coiled tubing system |
| CN105696999A (en) * | 2016-01-29 | 2016-06-22 | 中国石油集团川庆钻探工程有限公司长庆井下技术作业公司 | Coiled tubing experimental system and method |
| CN107893653A (en) * | 2017-08-14 | 2018-04-10 | 东方宝麟科技发展(北京)有限公司 | A kind of method using coiled tubing optical fiber technology testing level well production profile |
| CN108915669A (en) * | 2018-08-15 | 2018-11-30 | 南智（重庆）能源技术有限公司 | Gas storage gas injection tube column vibrating fatigue life-span prediction method |
| CN109542652A (en) * | 2018-12-03 | 2019-03-29 | 中石化四机石油机械有限公司 | A kind of device and compatibility method of coiled tubing Import Analysis software |
| CN110702598A (en) * | 2019-11-26 | 2020-01-17 | 中国石油集团川庆钻探工程有限公司 | Method for evaluating acid corrosion and bending fatigue life of continuous oil pipe |
| CN110761725A (en) * | 2019-09-27 | 2020-02-07 | 中煤科工集团西安研究院有限公司 | Coiled tubing operation machine suitable for dragging and fracturing coiled tubing under coal mine |
| CN110929433A (en) * | 2018-09-19 | 2020-03-27 | 中国石油化工股份有限公司 | Fatigue damage analysis and service life calculation method for well control device |
| CN111595704A (en) * | 2020-05-22 | 2020-08-28 | 中国石油天然气集团有限公司 | Method for predicting fatigue life of continuous oil pipe |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102005031874A1 (en) * | 2005-07-07 | 2007-01-11 | Basf Ag | Method of controlling bark beetle populations by controlling bark beetle antagonists |
| US9670768B2 (en) * | 2015-02-13 | 2017-06-06 | Halliburton Energy Services, Inc. | Real-time tracking of bending fatigue in coiled tubing |
| WO2017161064A1 (en) * | 2016-03-18 | 2017-09-21 | Schlumberger Technology Corporation | Tracking and estimating tubing fatigue in cycles to failure considering non-destructive evaluation of tubing defects |
-
2020
- 2020-09-15 CN CN202010969923.3A patent/CN112163290B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5826654A (en) * | 1996-01-26 | 1998-10-27 | Schlumberger Technology Corp. | Measuring recording and retrieving data on coiled tubing system |
| CN105696999A (en) * | 2016-01-29 | 2016-06-22 | 中国石油集团川庆钻探工程有限公司长庆井下技术作业公司 | Coiled tubing experimental system and method |
| CN107893653A (en) * | 2017-08-14 | 2018-04-10 | 东方宝麟科技发展(北京)有限公司 | A kind of method using coiled tubing optical fiber technology testing level well production profile |
| CN108915669A (en) * | 2018-08-15 | 2018-11-30 | 南智（重庆）能源技术有限公司 | Gas storage gas injection tube column vibrating fatigue life-span prediction method |
| CN110929433A (en) * | 2018-09-19 | 2020-03-27 | 中国石油化工股份有限公司 | Fatigue damage analysis and service life calculation method for well control device |
| CN109542652A (en) * | 2018-12-03 | 2019-03-29 | 中石化四机石油机械有限公司 | A kind of device and compatibility method of coiled tubing Import Analysis software |
| CN110761725A (en) * | 2019-09-27 | 2020-02-07 | 中煤科工集团西安研究院有限公司 | Coiled tubing operation machine suitable for dragging and fracturing coiled tubing under coal mine |
| CN110702598A (en) * | 2019-11-26 | 2020-01-17 | 中国石油集团川庆钻探工程有限公司 | Method for evaluating acid corrosion and bending fatigue life of continuous oil pipe |
| CN111595704A (en) * | 2020-05-22 | 2020-08-28 | 中国石油天然气集团有限公司 | Method for predicting fatigue life of continuous oil pipe |
Non-Patent Citations (2)
| Title |
|---|
| 连续油管卷绕弯曲疲劳寿命分析;陈玉慧;;内蒙古石油化工(08);全文 * |
| 连续油管斜接焊缝弯曲过程应变分析;徐帮才;陈龙;周志宏;袁涛勇;;焊管(04);全文 * |
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