Method for analyzing structural performance of RFID-embedded blowout preventer

Abstract

The invention discloses a method for analyzing the structural performance of a blowout preventer embedded with RFID (Radio Frequency Identification Device), which comprises the following steps of: performing low-stress area drilling on key components such as a flange cambered surface, a shell surface and a lifting lug of the blowout preventer, embedding an RFID electronic tag, fixing the RFID electronic tag by adopting high-temperature-resistant epoxy resin or knurled rivets, and covering a stainless steel nameplate outside the RFID electronic tag; a portable RFID reader-writer is used for collecting stress, temperature and vibration parameters in the equipment operation process in real time, and data are wirelessly transmitted to an information management platform; a structural performance mathematical model of the blowout preventer is established based on the collected data in combination with a finite element analysis method, and stress distribution and temperature fields of equipment under different working conditions are analyzed; carrying out normalization processing on an analysis result, and identifying an abnormal mode and a potential fault point; finally, an equipment performance analysis report is generated, an abnormal early warning signal is triggered, preventive maintenance suggestions are provided, and non-contact real-time monitoring and efficient performance analysis of key components of the blowout preventer are achieved.

Description

Technical Field

[0001] The invention relates to the technical field of oil and gas drilling equipment, and in particular to a method for analyzing the structural performance of a blowout preventer embedded with RFID. Background Art

[0002] BOPs are key equipment in well control systems and are widely used in oil and gas drilling operations. Their main function is to prevent blowout accidents and ensure effective control of downhole pressure. Existing BOP structural performance analysis usually relies on manual detection and mechanical instrument measurement methods, which have the following shortcomings: Traditional BOP inspection methods mostly rely on manual inspection and mechanical instrument measurement, which usually requires the equipment to be shut down. This not only leads to low data collection efficiency, but also fails to achieve real-time monitoring of the operating status of key components. In addition, traditional inspection methods are difficult to deeply monitor the status of key components such as flanges, shells, and lifting ears inside the BOP, especially under complex working conditions of high temperature and high pressure, and it is difficult to meet the needs of non-contact and dynamic monitoring.

[0003] Based on this, a method for analyzing the structural performance of a blowout preventer embedded with RFID is needed. Summary of the invention

[0004] To achieve the above object, the present invention provides the following solution: a method for analyzing the structural performance of a blowout preventer embedded with RFID, comprising the following steps: Step 1: Drill holes in the key parts of the blowout preventer flange arc surface, shell surface, and lifting lugs to embed RFID electronic tags. The diameter of the drilled holes is 10 mm and the depth is 4 mm. The positions are strength-checked to ensure the structural integrity of the equipment. Step 2: Fix the RFID tag to the opening position by high temperature resistant epoxy resin or knurled rivets, and cover the outside of the tag with a stainless steel nameplate to improve protection performance; Step 3: Use a portable RFID reader to collect stress, temperature and vibration parameters during equipment operation, and wirelessly transmit the data to the information management platform; Step 4: Based on the collected RFID data, a mathematical model of the BOP structural performance is established in combination with the finite element analysis method to analyze the stress distribution and temperature field of the equipment under different working conditions; Step 5: Perform data normalization on the analysis results, combine big data algorithms to perform trend analysis, and identify abnormal patterns and potential failure points; Step 6: Generate equipment performance analysis reports, trigger abnormal warning signals, and provide preventive maintenance recommendations.

[0005] Further preferably, the RFID tag is installed on the flange arc surface, shell surface or lifting lug of the blowout preventer, and the opening is designed in the low stress area of ​​the equipment, with a hole diameter of 10 mm and a depth of 4 mm. The equipment is strength checked after the opening to ensure that its maximum equivalent stress under the rated working pressure does not exceed 2 / 3 of the material yield strength, and the maximum principal stress under the hydrostatic test pressure does not exceed 90% of the material yield strength.

[0006] Further preferably, the RFID tag is made of high-temperature resistant ceramic material with a size of 5mm×5mm×3mm, a temperature resistance range of -40°C to 150°C, and has anti-metal interference performance to ensure stable operation in a high-temperature and high-pressure metal environment.

[0007] Further preferably, the installation method of the RFID tag includes: after opening a hole at the arc surface of the flange, the tag is fixed in the hole with a high-performance epoxy resin; when a groove is opened on the shell surface for installation, the groove size is 40mm×18mm×8mm, and the tag is fixed in the groove with a high-temperature resistant resin; the outside of the tag is covered with a stainless steel nameplate, and the nameplate is fixed to the surface of the equipment with M2×3 knurled rivets.

[0008] Further preferably, the portable RFID reader / writer adopts a high-speed eight-core 64-bit processor, is equipped with 4GB of running memory and 64GB of storage memory, supports WIFI, Bluetooth and 4G wireless communication functions, has a contactless reading function with a maximum reading and writing distance of 45cm, and transmits data to the information management platform in real time.

[0009] Further preferably, the information management platform is based on the Internet of Things architecture and includes a data dynamic monitoring module for recording equipment operating status data, including stress, temperature and vibration parameters; a data storage and analysis module for archiving equipment historical data and operating status information; a fault alarm and report generation module for generating equipment performance analysis reports and storing them in the platform.

[0010] Further preferably, the information management platform performs multi-dimensional analysis in combination with the data collected by RFID, predicts the equipment life and potential failure risks through a trend analysis module, and generates a maintenance plan and design improvement plan for the equipment through an analysis module.

[0011] Further preferably, the method is based on multi-tag synchronous reading technology, and simultaneously reads data of multiple RFID tags embedded in different parts of the blowout preventer in a single scanning operation, and timestamps and groups the data of different tags through the data acquisition terminal.

[0012] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects: The present invention embeds RFID tags in key components such as flanges, shells, and lifting lugs of the blowout preventer to achieve real-time monitoring of the operating status. The stress, temperature, and vibration parameters of the equipment during operation can be dynamically collected without shutting down the equipment, thereby significantly improving the efficiency and accuracy of data collection. The non-contact monitoring characteristics of RFID technology solve the problem that traditional detection methods are difficult to deeply monitor the internal status of the equipment, especially under complex working conditions of high temperature and high pressure. The present invention can stably obtain real-time operating data of key components through wireless radio frequency technology. In addition, the portable RFID reader / writer supports long-distance synchronous reading of data from multiple tags, and combines with the information management platform to achieve remote monitoring and dynamic analysis of the equipment operating status, making the monitoring of key components more accurate and efficient, and meeting the high requirements for operating status monitoring of modern well control equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0014] Figure 1 The figure is a flow chart of the analysis steps of the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0017] Example like Figure 1 As shown, a method for analyzing the structural performance of a blowout preventer embedded with RFID in this embodiment includes the following steps: Step 1: Drill holes in the key components of the blowout preventer flange arc surface, shell surface, and lifting lugs to embed RFID electronic tags. Select low-stress areas for drilling according to the equipment design requirements and actual working conditions to ensure that the structural performance of the equipment will not be affected. Use high-precision drilling equipment to drill holes in the target parts with a hole diameter of 10mm and a depth of 4mm. Before drilling, use a positioning instrument to accurately calibrate the target part to avoid hole position deviation. Check the strength of the drilling position in accordance with API Spec 16A and GB / T 20174-2019 standards to ensure that it meets the design requirements of maximum equivalent stress and maximum principal stress under rated working pressure and hydrostatic test pressure. After drilling, deburr the hole mouth and use dust-free air to clean the hole to ensure that there is no foreign matter in the hole, so as to facilitate the stable installation of the subsequent RFID tag. Step 2: After the RFID tag is embedded in the drilled hole, it is installed using high-temperature resistant epoxy resin or mechanical fixing to ensure the firmness of the tag in high temperature, high pressure and vibration environments; specifically, evenly apply high-temperature resistant epoxy resin in the hole, insert the RFID tag into the hole and adjust the position to ensure that it is in close contact with the hole wall; mechanical fixing can be used to fix the tag to the hole through knurled rivets. The rivet size is consistent with the hole diameter to ensure the reliability of fixation. After installation, cover the outside of the tag with a stainless steel nameplate. The nameplate is firmly connected to the equipment through M2×3 knurled rivets to enhance the protection performance; Step 3: Use a portable RFID reader to collect data from the embedded tags, read the stress, temperature and vibration parameters of the equipment during operation, adjust the RFID reader to an appropriate reading frequency to ensure that it can operate normally in a working environment with strong metal interference; bring the reader close to the target device, keep the reading distance within 40 to 45 cm, and scan the RFID tags on the device one by one; the reader timestamps each tag during the reading process to ensure data synchronization; Step 4: Based on the data collected by the RFID tag, the finite element analysis method (FEA) is used to establish the structural performance model of the blowout preventer. First, the collected stress and temperature data are preprocessed and imported into the finite element analysis software. A three-dimensional model is established in combination with the geometric structure and material properties of the blowout preventer. Then, the boundary conditions and loading conditions of the model are defined to simulate the stress distribution and temperature field changes of the equipment under rated working pressure and different working conditions. Step 5: Perform data normalization and trend analysis on the results of finite element analysis to reveal the changing rules of the equipment's operating status. Normalization unifies the collected stress and temperature data into the same dimension system to eliminate the deviation of the data read by the tags in different parts. Combined with historical operating data, the equipment's operating mode is retrospectively analyzed through big data algorithms to identify abnormal modes or potential failure risks. Step 6: Generate an equipment performance analysis report based on the data analysis results, and issue an early warning for abnormal conditions; the report includes stress distribution diagrams of key equipment components, temperature field distribution diagrams, and possible fault location information, and is stored on the information management platform for subsequent reference; when an abnormal mode or potential fault point is found, the system automatically triggers an alarm signal to remind operators to take maintenance measures in a timely manner; The RFID tag is installed on the flange arc surface, shell surface or lifting lug of the blowout preventer. The opening is designed in the low stress area of ​​the equipment with a hole diameter of 10mm and a depth of 4mm. The equipment is strength checked after the opening to ensure that its maximum equivalent stress under the rated working pressure does not exceed 2 / 3 of the material yield strength, and the maximum principal stress under the hydrostatic test pressure does not exceed 90% of the material yield strength. The maximum equivalent stress is controlled within 2 / 3 of the material yield strength, and the maximum principal stress is controlled within 90% of the yield strength, thereby ensuring that the equipment still has sufficient strength and safety under high pressure conditions after the opening, and will not fail due to structural weakening.

[0018] The RFID tag is made of high-temperature resistant ceramic material with a size of 5mm×5mm×3mm, with a temperature resistance range of -40°C to 150°C, and has anti-metal interference performance to ensure stable operation in high-temperature and high-pressure metal environments, avoiding data distortion or unreadable situations caused by surrounding metal interference, thereby improving the reliability of equipment monitoring.

[0019] The installation methods of RFID tags include: after opening a hole at the arc surface of the flange, the tag is fixed in the hole with high-performance epoxy resin; when installing in a groove on the shell surface, the groove size is 40mm×18mm×8mm, and the tag is fixed in the groove with high-temperature resistant resin; the outside of the tag is covered with a stainless steel nameplate, and the nameplate is fixed to the surface of the equipment with M2×3 knurled rivets. Covering the outside with a stainless steel nameplate and fixing it with knurled rivets provides additional mechanical protection for the RFID tag to prevent the tag from falling off or being damaged due to external mechanical impact or corrosive environment.

[0020] The portable RFID reader uses a high-speed eight-core 64-bit processor, is equipped with 4GB of running memory and 64GB of storage memory, supports WIFI, Bluetooth and 4G wireless communication functions, has a contactless reading function with a maximum reading and writing distance of 45cm, and transmits data to the information management platform in real time, allowing operators to obtain operating data without approaching the equipment, improving the convenience and safety of use. In addition, real-time data transmission to the information management platform ensures the timeliness of monitoring data.

[0021] The information management platform is based on the Internet of Things architecture and includes a data dynamic monitoring module for recording equipment operating status data, including stress, temperature and vibration parameters; a data storage and analysis module for archiving equipment historical data and operating status information; a fault alarm and report generation module for generating equipment performance analysis reports and storing them on the platform. The fault alarm and report generation module automatically generates alarm signals and maintenance reports when an abnormality is detected, which greatly improves the efficiency of equipment fault detection and disposal and reduces operational risks.

[0022] The information management platform combines the data collected by RFID for multi-dimensional analysis, predicts equipment life and potential failure risks through the trend analysis module, and generates equipment maintenance plans and design improvement plans through the analysis module.

[0023] Based on the multi-tag synchronous reading technology, the method simultaneously reads the data of multiple RFID tags embedded in different parts of the blowout preventer in a single scanning operation, and timestamps and groups the data of different tags through the data acquisition terminal.

[0024] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0025] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for analyzing the structural performance of a blowout preventer embedded with RFID, characterized in that: The following steps are involved: Step 1: Drill holes in the key parts of the blowout preventer flange arc surface, shell surface, and lifting lugs to embed RFID electronic tags. The diameter of the drilled holes is 10 mm and the depth is 4 mm. The positions are strength-checked to ensure the structural integrity of the equipment. Step 2: Fix the RFID tag to the opening position by high temperature resistant epoxy resin or knurled rivets, and cover the outside of the tag with a stainless steel nameplate to improve protection performance; Step 3: Use a portable RFID reader to collect stress, temperature and vibration parameters during equipment operation, and wirelessly transmit the data to the information management platform; Step 4: Based on the collected RFID data, a mathematical model of the BOP structural performance is established in combination with the finite element analysis method to analyze the stress distribution and temperature field of the equipment under different working conditions; Step 5: Perform data normalization on the analysis results, combine big data algorithms to perform trend analysis, and identify abnormal patterns and potential failure points; Step 6: Generate equipment performance analysis reports, trigger abnormal warning signals, and provide preventive maintenance recommendations.

2. The method for analyzing the structural performance of a blowout preventer embedded with RFID according to claim 1, characterized in that: The RFID tag is installed on the flange arc surface, shell surface or lifting lug of the blowout preventer. The opening is designed in the low stress area of ​​the equipment, with a hole diameter of 10mm and a depth of 4mm. The equipment is strength checked after the opening to ensure that its maximum equivalent stress under the rated working pressure does not exceed 2 / 3 of the material yield strength, and the maximum principal stress under the hydrostatic test pressure does not exceed 90% of the material yield strength.

3. The method for analyzing the structural performance of a blowout preventer embedded with RFID according to claim 1, characterized in that: The RFID tag is made of high-temperature resistant ceramic material with a size of 5mm×5mm×3mm, a temperature resistance range of -40°C to 150°C, and has anti-metal interference performance to ensure stable operation in a high-temperature and high-pressure metal environment.

4. The method for analyzing the structural performance of a blowout preventer embedded with RFID according to claim 1, characterized in that: The installation method of the RFID tag includes: after opening a hole at the arc surface of the flange, the tag is fixed in the hole with high-performance epoxy resin; when a groove is opened on the shell surface for installation, the groove size is 40mm×18mm×8mm, and the tag is fixed in the groove with high-temperature resistant resin; the outside of the tag is covered with a stainless steel nameplate, and the nameplate is fixed to the surface of the equipment with M2×3 knurled rivets.

5. The method for analyzing the structural performance of a blowout preventer embedded with RFID according to claim 1, characterized in that: The portable RFID reader / writer uses a high-speed eight-core 64-bit processor, is equipped with 4GB of running memory and 64GB of storage memory, supports WIFI, Bluetooth and 4G wireless communication functions, has a contactless reading function with a maximum reading and writing distance of 45cm, and transmits data to the information management platform in real time.

6. The method for analyzing the structural performance of a blowout preventer embedded with RFID according to claim 1, characterized in that: The information management platform is based on the Internet of Things architecture and includes a data dynamic monitoring module for recording equipment operating status data, including stress, temperature and vibration parameters; a data storage and analysis module for archiving equipment historical data and operating status information; and a fault alarm and report generation module for generating equipment performance analysis reports and storing them in the platform.

7. The method for analyzing the structural performance of a blowout preventer embedded with RFID according to claim 1, characterized in that: The information management platform combines the data collected by RFID to perform multi-dimensional analysis, predicts equipment life and potential failure risks through a trend analysis module, and generates equipment maintenance plans and design improvement plans through an analysis module.

8. The method for analyzing the structural performance of a blowout preventer embedded with RFID according to claim 1, characterized in that: The method is based on multi-tag synchronous reading technology, and simultaneously reads data of multiple RFID tags embedded in different parts of the blowout preventer in a single scanning operation, and performs time stamp marking and grouping processing on the data of different tags through a data acquisition terminal.

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