CN112163290A - 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 coiled tubing fatigue analysis system and method. The analysis system includes: the system comprises a database, a detection resetting module, a first data entry module, a second data entry module, an original construction data processing module and a calculation module; the database stores data; the detection resetting module can detect fatigue model data in the database and reset the data; the first data entry module can enter basic data and cutting data of the coiled tubing, and calculate and enter data after cutting of the coiled tubing; the second data entry module can enter basic data of the coiled tubing equipment, calculate and enter bending data of each length section of the oil pipe; the original construction data processing module can input original construction data; the calculation module can calculate the fatigue consumption of the coiled tubing according to the data in the database. The analysis method may comprise performing a fatigue analysis using the system described above. The invention can accurately monitor and analyze the fatigue consumption of the coiled tubing 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 method and a system for analyzing fatigue of a continuous oil pipe.
Background
In the underground operation technology, the coiled tubing has the advantages of high operation speed, high efficiency, small damage to stratum, low operation cost and the like because the coiled tubing has the under-pressure and under-balance operation capability, and becomes an important technology in the field of unconventional oil and natural gas development. 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 a local pipe body is the most main factor in a plurality of reasons causing the failure of the coiled tubing, so that the analysis of the fatigue of the coiled tubing has important significance on the aspects of production, design, construction safety, cost control and the like of the coiled tubing.
The continuous oil pipe is subjected to 6 straightening-bending plastic deformations during each lifting and lowering in the construction process, and the continuous bending leads to the low-cycle fatigue failure of the continuous oil pipe. The interior of the coiled tubing is also filled with high-pressure circulating fluid frequently under the actual working condition, and the coiled tubing is easy to lose efficacy under the bending and internal pressure load coupling conditions. Therefore, the fatigue analysis of the coiled tubing firstly needs to determine the fatigue damage degree according to the internal pressure and the bending radius borne by each section of 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 the 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 borne by each section of coiled tubing when the coiled tubing is bent can change in real time along with the progress of construction. The data acquisition frequency of the existing coiled tubing operation equipment is 1 time/second, and a plurality of construction data such as pressure, displacement and the like can be acquired, but the existing technology can not directly acquire two data directly related to fatigue analysis, namely internal pressure and bending radius borne by each section of coiled tubing when the coiled tubing is bent, and the two data can only be calculated through other data.
The data for performing the fatigue analysis of the coiled tubing mainly come from original construction data collected by operating equipment, the data volume to be processed in the analysis process is calculated by taking millions as units, and the existing fatigue analysis method of the coiled tubing needs to consume a large amount of time in the face of huge calculation amount. 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 also synchronously carried out in the whole construction process. However, the real-time analysis and calculation mode cannot completely meet the requirement, and the fatigue analysis of the coiled tubing still needs to be performed in a mode of importing original construction data in many cases. However, this method usually only uses a method of reducing the precision to shorten the operation time due to too long time consumption, and many links in the process also need to be manually operated by an analyst, which is very time-consuming and tedious.
Disclosure of Invention
In view of the deficiencies in the prior art, it is an object of the present invention to address one or more of the problems in the prior art as set forth above. 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 resetting 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: the method comprises the following steps of (1) acquiring coiled tubing fatigue model data, a fatigue model list table, a coiled tubing use record table, a coiled tubing length correction table, a coiled tubing bending data table and an extraction data table; the detection resetting module can detect the condition of the coiled tubing fatigue model data in the database, and can reset all data in the database except the coiled tubing fatigue model data and the fatigue model list table; the first data entry module can enter basic data and cutting data of the coiled tubing into the coiled tubing use record table, and can calculate the residual length of each section, the residual total length of the coiled tubing and the correction length of the coiled tubing in each time period after the coiled tubing is cut according to the basic data and the cutting data of the coiled tubing, and simultaneously enter the calculated information into the coiled tubing length correction table; the second data entry module can enter basic data of the coiled tubing equipment into the coiled tubing bending data table, and can also calculate bending data of each length section of the coiled tubing according to the basic data of the coiled tubing equipment and data entered by the first data entry module in the coiled tubing use record table, and simultaneously enter the calculated bending data into the coiled tubing bending data table; the original construction data processing module can input processed original construction data to 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 coiled tubing according to the coiled tubing use record table, the coiled tubing length correction table, the coiled tubing bending data table and the data in the extraction data table in the database and the coiled tubing fatigue model data.
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 coiled tubing fatigue model data in the database; the reset unit can reset 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 prompt; the types of the coiled tubing fatigue model data are multiple, and each type of coiled tubing fatigue model data corresponds to a type of coiled tubing; the condition that the detection unit can detect the fatigue model data of the continuous oil pipe in the database comprises the following steps: the detection unit can detect whether a fatigue model list table exists in the database or not, and sends out a prompt that the fatigue calculation of the continuous oil pipe cannot be carried out under the condition that the fatigue model list table is not detected; and under the condition that the fatigue model list table is detected, the detection unit can also continuously traverse the coiled tubing fatigue model data table through the record in the fatigue model list table and send a prompt of a detection result.
According to an exemplary embodiment of the coiled tubing fatigue analysis system of the present invention, the original construction data processing module is further capable of determining whether there is redundant data that is duplicated in the input original construction data, and if so, deleting redundant duplicated data.
According to an exemplary embodiment of the coiled tubing fatigue analysis system of the present invention, the coiled tubing fatigue model data is of a plurality of types, and each type of coiled tubing fatigue model data corresponds to a type 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 construction parameters of coiled tubing equipment collected online during the construction process.
According to an exemplary embodiment of the coiled tubing fatigue analysis system of the present invention, the first logging module may comprise a first logging unit and a second logging unit, wherein the first logging unit is capable of logging base data of the coiled tubing to a coiled tubing usage log, the base data of the coiled tubing including coiled tubing coil number, steel grade, diameter, number of sections, activation date, and length and wall thickness of each section; the second recording unit can record the cutting data into the coiled tubing use record table, and the cutting data comprises the cutting length and time in the coiled tubing use process.
According to an exemplary embodiment of the coiled tubing fatigue analysis system according to the present invention, the raw construction data processing module may comprise a determination 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 import requirement; and the third entry unit can enter the original construction data meeting the import requirement into the extraction data table.
According to an exemplary embodiment of the coiled tubing fatigue analysis system of the present invention, the calculating of the fatigue consumption of the coiled tubing by the calculation module may comprise: the calculation module carries out position correction on data in the coiled tubing 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 internal pressure born by 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 a continuous oil pipe fatigue model data table according to the calculated bending radius and the inner pressure.
According to an exemplary embodiment of the coiled tubing fatigue analysis system of the present invention, the analysis system may further include an output module capable of outputting and displaying the fatigue consumption value calculated by the calculation module.
The invention provides a coiled tubing fatigue analysis method on the other hand. The analysis method may include performing coiled tubing fatigue analysis using the coiled tubing fatigue analysis system described above.
Compared with the prior art, the beneficial effects of the invention can include:
(1) the coiled tubing fatigue analysis method is high in analysis speed and high in precision.
(2) The coiled tubing fatigue analysis system can realize data query, screening and visual analysis according to the needs of analysts, thereby greatly improving the efficiency of coiled tubing fatigue analysis and reducing the labor intensity and operation errors of analysts.
(3) The invention can realize batch processing of massive original construction data, greatly improve the efficiency of fatigue analysis of the coiled tubing, and reduce the operation and operation errors of analysts.
Drawings
The above and other objects and features of the present invention will become more apparent from the following description taken in conjunction with the accompanying drawings, in which:
FIG. 1 shows a schematic of the coiled tubing fatigue analysis system of the present invention;
FIG. 2 shows a schematic flow diagram of a coiled tubing fatigue analysis method of the present invention;
FIG. 3 shows a schematic of the coiled tubing fatigue distribution of the present invention.
Detailed Description
The coiled tubing fatigue analysis system and method of the present invention will be described in detail below in conjunction with the figures and exemplary embodiments.
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, coiled tubing equipment adopts an Access database file in mdb format to store original construction data, and a VBA module is adopted to facilitate interactive application of Excel and Access, so that operation is simple.
In an 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 database), an operation database detection and reset module (also called detection and reset module), a continuous oil pipe basic data entry module (also called first data entry module), a continuous oil pipe equipment basic data entry module (also called second data entry module), an original construction data import, formatting, screening and storage module (also called original construction data processing module), a continuous oil pipe fatigue consumption calculation module (also called calculation module) and a report generation module (also called output module).
The operational database may be in mdb format, which may include: the method comprises the steps of a fatigue model data table, a fatigue model list table, a user information table, a newly loaded file table, a import failure file table, a coiled tubing use record table, a coiled tubing bending data table, a coiled tubing length correction table, an extraction data table and a calculation result table of the coiled tubing of each model. For example, the coiled tubing fatigue model data is directly embedded into a database file in mdb format, so that management of various coiled tubing 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 coiled tubing basic data input module can be used for inputting the coiled tubing basic data.
And the coiled tubing equipment basic data entry module can be used for entering the coiled tubing equipment basic data.
The original construction data importing, formatting, screening and storing module can be used for importing, formatting, screening and storing original construction data.
And the coiled tubing fatigue consumption calculating module can be used for calculating the coiled tubing fatigue consumption.
And the report generation module can generate a fatigue report of the continuous oil pipe.
In this embodiment, the operation database detection and reset module may include the following units:
and the database detection unit (which can be called as a detection unit) can be used for detecting the coiled tubing fatigue model data in the operation database.
And the database resetting unit (which can be called as a resetting unit) can be used for resetting all data in the operation database except the coiled tubing fatigue model data table and the fatigue model list table.
In this embodiment, the coiled tubing base data entry module may include the following units:
and the coiled tubing starting recording unit (which can be called as a first recording unit) can be used for setting and storing the serial number, the steel grade, the diameter, the number of sections, the length and the wall thickness of each section and the starting time of the coiled tubing.
And the coiled tubing cutting recording unit (which can be called as a second recording unit) can be used for setting and storing the cutting length and time in the use process of the coiled tubing.
And the coiled tubing 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 equipment base data entry module may include: a reset unit that can be used to reset and save (i.e., re-import) coiled tubing equipment base data.
In this embodiment, the coiled tubing equipment base data may include: gooseneck radius, inside width of the roller, roller mandrel diameter and roller diameter.
In this embodiment, the original 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.
And the import 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 the supplementary calculation unit is used for analyzing and calculating only the original construction data part which is not subjected to the fatigue consumption calculation.
In the embodiment, the data acquisition frequency of the coiled tubing equipment on the construction parameters is 1 time/second, and the data acquisition runs through the whole construction process; the coiled tubing is calculated according to 1 well from entering to leaving, the average construction time of each well is about 2 days according to the construction working condition of the coiled tubing in shale gas, the average service life of the coiled tubing is 60 wells, one coil of coiled tubing generates tens of millions of original construction data in the whole service period, and the data are divided into database files in formats of dozens of to hundreds of mdb according to different devices for storage. Each data includes data such as construction date, time, circulating pressure, wellhead pressure, finger weight, speed, depth, flow and the like.
In other words, the original construction data may be construction parameters acquired by the coiled tubing equipment on line in the construction process, and may be stored in mdb database file format, including construction date, time, circulation pressure, wellhead pressure, weight, speed, depth, flow rate, accumulated flow rate, and other data.
In this embodiment, the report generating module may include the following units:
the coiled tubing 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 coiled tubing.
The coiled tubing fatigue distribution display unit can be used for displaying a coiled tubing fatigue distribution diagram.
And the coiled tubing single-point position use record query unit can be used for querying and displaying the coiled tubing construction record of the position set by the user.
And the coiled tubing fatigue danger point query unit is used for querying and displaying the position information of the coiled tubing, which exceeds the fatigue consumption danger value set by the user.
In another aspect, the invention provides a coiled tubing fatigue analysis method.
In an exemplary embodiment of the coiled tubing fatigue analysis method of the present invention, the analysis method may comprise 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 comprise the steps of:
step 1: establishing a fatigue analysis system based on a VBA continuous oil pipe, wherein the analysis system comprises: the system comprises an operation database, an operation database detection and reset module, a continuous oil pipe basic data entry module, a continuous oil pipe equipment basic data entry module, an original construction data import, formatting, screening and storage module, a continuous oil pipe fatigue consumption calculation module and a report generation module. The various modules may have the same functionality as the modules in the exemplary embodiments of the coiled tubing fatigue analysis system described above.
Step 2: the detection and the reset of the operation database can be realized by calling the operation database detection and reset module. VBA references ActiveX Data Objects (ADO), which can establish a connection to the runtime database through adodb. When the operation database is detected, whether the operation database contains a fatigue model list table or not is inquired, and if not, a user is prompted to be incapable of carrying out fatigue calculation on the continuous oil pipe; and if the fatigue model list table is contained, traversing each continuous oil pipe fatigue model data table in the operation database through the record in the fatigue model list table, and prompting a user to detect a result. And resetting the operation database, and deleting and newly building all data TABLEs except the fatigue model list TABLE and the coiled tubing fatigue model data TABLE in the operation database by using SQL DROP TABLE and SQL CREATE TABLE statements to achieve the purpose of deleting the original coiled tubing data and be used for newly analyzing the fatigue consumption of another coil of coiled tubing.
And step 3: and the coiled tubing basic data is input, and the data can be input through the coiled tubing basic data input module. The coiled tubing number, the steel grade, the diameter, the number of sections, the starting date, the length and the wall thickness of each section, the cutting length and the cutting date of the coiled tubing in the use process, which are set by a user, the remaining length of each section, the remaining total length of the coiled tubing and the correction length of the coiled tubing in each time period after the coiled tubing is cut are calculated through the data, and the data are stored in a coiled tubing use record table and a coiled tubing length correction table in an operation database through SQL sentences.
And 4, step 4: and the basic data of the coiled tubing equipment can be recorded through the basic data recording module of the coiled tubing equipment. And (3) calculating the bending data of each length section of the coiled tubing according to the gooseneck radius, the inner side width of the roller, the diameter of the roller mandrel and the diameter of the roller which are set by the user and the coiled tubing basic data obtained in the step (3), and storing the data into a coiled tubing bending data table in an operation database.
And 5: and importing, formatting, screening and storing the original construction data, wherein the step can be performed through an 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, FileDialog (msoFileDialogFilePicker) instruction, file names and creation dates of all original construction data files of the file path are stored in a newly loaded file table of an operation database through SQL statements, and are compared with records in a loaded file table, repeated file names are deleted, and an original construction data file list needing to be imported is formed;
sequentially opening original construction data files by using FOR NEXT circulating statements in VBA according to an original construction data file list needing to be imported, reading the original construction data, comparing basic data of a coiled tubing in an operation database to judge whether the original construction data meets import requirements, closing the original construction data files if the original construction data does not meet the requirements, and storing file names and reasons into an import failure file table of the coiled tubing in the operation database; if the original data meets the import requirement, data screening and formatting are carried out, the processed construction data are stored in an extraction data table of the operation database, and the file name of the original construction data is stored in a loaded file table. Through the circulation process, batch import with unrepeated original construction data is realized.
Step 6: and calculating the fatigue consumption of the coiled tubing, wherein the step can be performed by a coiled tubing fatigue consumption calculating module. Reading a record of a data table extracted from an operation database through SQL statements, 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 to perform position correction (correcting the depth position of the coiled tubing in a shaft after cutting, for example, after the coiled tubing corresponding to the shaft with the original depth of 5000 meters is cut by 100 meters, correcting the position of the coiled tubing to the position corresponding to the depth of 5000 meters), inquiring bending data in a coiled tubing bending data table according to the corrected position information, inquiring information of steel grade, wall thickness and pipe diameter of the section of coiled tubing in a coiled tubing use record table, and calculating the bending radius and the born internal pressure of the section of coiled tubing after acquiring the data information; and finally, finding a corresponding coiled tubing fatigue model data table according to the steel grade, the wall thickness and the pipe diameter information of the coiled tubing, inquiring a corresponding fatigue consumption value in the coiled tubing 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. And completing fatigue consumption calculation of all records in the extraction data table of the running database by using the FOR NEXT loop statement.
And 7: and producing the report, wherein the step can be realized by a report generating module. And classifying and summarizing all records of the extracted data table in the operation database according to the positions of the continuous oil pipes by SQL sentences, storing the results into a calculation result table, introducing the results into Excel, and drawing a fatigue distribution map of the continuous oil pipes by ActiveShet.
In summary, the coiled tubing fatigue analysis system and method of the present invention have the advantages of: the invention can accurately monitor and analyze the fatigue consumption of the coiled tubing in real time, has the effects of high analysis speed and high precision, and can reduce the operation and operation errors of an analyst.
Although the present invention has been described above in connection with exemplary embodiments, it will be apparent to those skilled in the art that various modifications and changes may be made to the exemplary embodiments of the present invention without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A coiled tubing fatigue analysis system, the analysis system comprising: the system comprises a database, a detection resetting module, a first data entry module, a second data entry module, an original construction data processing module and a calculation module,
the database stores: the method comprises the following steps of (1) acquiring coiled tubing fatigue model data, a fatigue model list table, a coiled tubing use record table, a coiled tubing length correction table, a coiled tubing bending data table and an extraction data table;
the detection resetting module can detect the condition of the coiled tubing fatigue model data in the database, and can reset all data in the database except the coiled tubing fatigue model data and the fatigue model list table;
the first data entry module can enter basic data and cutting data of the coiled tubing into the coiled tubing use record table, and can calculate the residual length of each section, the residual total length of the coiled tubing and the correction length of the coiled tubing in each time period after the coiled tubing is cut according to the basic data and the cutting data of the coiled tubing, and simultaneously enter the calculated information into the coiled tubing length correction table;
the second data entry module can enter basic data of the coiled tubing equipment into the coiled tubing bending data table, and can also calculate bending data of each length section of the coiled tubing according to the basic data of the coiled tubing equipment and data entered by the first data entry module in the coiled tubing use record table, and simultaneously enter the calculated bending data into the coiled tubing bending data table;
the original construction data processing module can input processed original construction data to 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 coiled tubing according to the coiled tubing use record table, the coiled tubing length correction table, the coiled tubing bending data table and the data in the extraction data table in the database and the coiled tubing fatigue model data.
2. The coiled tubing fatigue analysis system of claim 1, wherein the detection reset module comprises a detection unit and a reset unit, wherein,
the detection unit can detect the condition of the fatigue model data of the continuous oil pipe in the database;
the reset unit can reset all data in the database except the coiled tubing fatigue model data and the fatigue model inventory table.
3. The coiled tubing fatigue analysis system of claim 2, wherein the detection reset module further comprises a reminder unit for issuing a prompt;
the types of the coiled tubing fatigue model data are multiple, and each type of coiled tubing fatigue model data corresponds to a type of coiled tubing;
the condition that the detection unit can detect the fatigue model data of the continuous oil pipe in the database comprises the following steps:
the detection unit can detect whether a fatigue model list table exists in the database or not, and sends out a prompt that the fatigue calculation of the continuous oil pipe cannot be carried out under the condition that the fatigue model list table is not detected; and under the condition that the fatigue model list table is detected, the detection unit can also continuously traverse the coiled tubing fatigue model data table through the record in the fatigue model list table and send a prompt of a detection result.
4. The coiled tubing fatigue analysis system of claim 1, wherein the original construction data processing module is further capable of determining whether redundant data is duplicated in the entered original construction data, and if so, deleting redundant duplicated data.
5. The coiled tubing fatigue analysis system of claim 1, wherein the first data entry module comprises a first entry unit and a second entry unit, wherein,
the first recording unit can record basic data of the coiled tubing into a coiled tubing usage record table, wherein the basic data of the coiled tubing comprises coiled tubing coil number, steel grade, diameter, number of sections, starting date, length and wall thickness of each section;
the second recording unit can record the cutting data into the coiled tubing use record table, and the cutting data comprises the cutting length and time in the coiled tubing use process.
6. The coiled tubing fatigue analysis system of claim 1, wherein the raw construction data comprises construction parameters of coiled tubing equipment collected online during a construction process.
7. The coiled tubing fatigue analysis system of claim 1, wherein the raw construction data processing module comprises a determination 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 import requirement;
and the third entry unit can enter the original construction data meeting the import requirement into the extraction data table.
8. 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 data in the coiled tubing 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 internal pressure born by 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 a continuous oil pipe fatigue model data table according to the calculated bending radius and the inner pressure.
9. The coiled tubing fatigue analysis system of claim 1, further comprising an output module capable of outputting and displaying the fatigue consumption value calculated by the calculation module.
10. A coiled tubing fatigue analysis method, comprising performing coiled tubing fatigue analysis using the coiled tubing fatigue analysis system of any of claims 1 to 9.
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Citations (12)
| 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 |
| US20080222943A1 (en) * | 2005-07-07 | 2008-09-18 | Basf Aktiengesellschaft | Method for Controlling Bark Beetle Populations by Controlling Bark Beetle Antagonists |
| 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 |
| US20160362973A1 (en) * | 2015-02-13 | 2016-12-15 | Halliburton Energy Services, Inc. | Real-time tracking of bending fatigue in coiled tubing |
| 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 |
| US20190064116A1 (en) * | 2016-03-18 | 2019-02-28 | Schlumberger Technology Corporation | Tracking and estimating tubing fatigue in cycles to failure considering non-destructive evaluation of tubing defects |
| 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 |
-
2020
- 2020-09-15 CN CN202010969923.3A patent/CN112163290B/en active Active
Patent Citations (12)
| 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 |
| US20080222943A1 (en) * | 2005-07-07 | 2008-09-18 | Basf Aktiengesellschaft | Method for Controlling Bark Beetle Populations by Controlling Bark Beetle Antagonists |
| US20160362973A1 (en) * | 2015-02-13 | 2016-12-15 | Halliburton Energy Services, Inc. | Real-time tracking of bending fatigue in coiled tubing |
| 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 |
| US20190064116A1 (en) * | 2016-03-18 | 2019-02-28 | Schlumberger Technology Corporation | Tracking and estimating tubing fatigue in cycles to failure considering non-destructive evaluation of tubing defects |
| 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 |
|---|
| 徐帮才;陈龙;周志宏;袁涛勇;: "连续油管斜接焊缝弯曲过程应变分析", 焊管, no. 04 * |
| 陈玉慧;: "连续油管卷绕弯曲疲劳寿命分析", 内蒙古石油化工, no. 08 * |
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