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Oil & Gas Storage and Transportation2024 09
CHEN Pengchao,GUAN Zhongyuan
[Abstract](189)
[Objective] The emergence of the science-technology-engineering ternary framework symbolized the rise of the philosophy of engineering as a branch of the discipline of philosophy. Oil and gas pipelines are considered important engineering systems in human society. Their planning, construction, and operational management are required to follow the universal laws of the philosophy of engineering, and in the meantime, practical experience gained from constructing and operating these pipelines contributes to the establishment of an extensive theoretical system for the philosophy of engineering. [Methods] This paper presents a systematic review of oil and gas pipeline engineering from the aspects of conveyed media, oil and gas pipelines, medium-pipeline interactions, pipeline-environment interactions, and medium-pipeline-environment interactions. The evolution of oil and gas pipeline engineering is elaborated on various facets, including the origin, the inception of modern oil and gas pipeline engineering, and the development of oil and gas pipeline engineering in China. Additionally, the paper provides a preliminary analysis of the development trends in oil and gas pipeline engineering from different viewpoints, such as new energy systems, transportation systems, and the Fourth Industrial Revolution. [Results] Oil and gas pipeline engineering represents a range of technologies in pipeline science, which incorporate the selection, integration, and synergy of relevant scientific and technological knowledge and are utilized in constructing structured, functional, and efficient engineering systems, through the optimal allocation of economic factors, to reflect the value orientation of “energy transportation carriers”. The development trajectory of oil and gas pipeline engineering has validated several viewpoints in the philosophy of engineering: Engineering precedes science; engineering, science, and technology exist independently but support each other; solving practical problems drives engineering development, while technological advancements and cognitive level of human at the time determine engineering levels. [Conclusion] Fueled by the Fourth Industrial Revolution, the deep integration with new energy systems and comprehensive three-dimensional transportation networks represents the future development path of oil and gas pipeline engineering. Hence, emphasis should be placed on both fundamental research and frontier exploration, coupled with intensified efforts for disruptive technological breakthroughs, to maximize the role of pipelines in energy and transportation systems, thereby creating value in the pipeline sector. (4 Figures, 54 References)
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MA Yinghan,ZHAO Hong
[Abstract](164)
[Objective] In the energy sector, pipeline inspection and monitoring provide an efficient method for detecting and addressing defects in energy pipeline transportation at an early stage, thereby ensuring the safe operation and sustainable development of pipeline systems. Considering the constraints of traditional pipeline inspection methods concerning accuracy, efficiency, and safety, research into unmanned aerial vehicle (UAV) pipeline inspection technology holds significant practical importance and promising development prospects. [Methods] Considering industry standards and the current development status of UAV technology, CiteSpace literature analysis software was utilized to perform a knowledge graph analysis across various dimensions, including publication years, co-occurrences, clustering, and frequencies of key words, as well as timelines, and authors of relevant literature. Building upon this analysis, this study investigated the relationships between research laboratories and scholars in related domains by tracking prominent conferences and journals. Additional research was conducted to uncover the characteristics of UAVs. Consequently, this paper outlines application strategies for UAVs in pipeline inspection and provides predictions and innovative analysis of the potential development trends in UAV pipeline inspection within China. [Results] UAV pipeline inspection represents an emerging application area for UAVs. Since 2015, this domain has increasingly garnered research attention. Several technology firms have integrated UAVs for intelligent inspections in actual oilfields. Nonetheless, current collaboration among scholars remains limited, and existing national and industry standards do not provide definitive specifications on the technical indicators for UAV pipeline inspection. [Conclusion] The UAV pipeline inspection technology constitutes an interdisciplinary field. The advancement of this technology profoundly enhances pipeline inspection processes by enhancing efficiency, cutting costs, and guaranteeing safety. These improvements generate new impetuses for the growth of industries associated with UAVs. (10 Figures, 4 Tables, 44 References)
[PDF:4224KB](141)[Export Reference]
HU Qihui1,YANG Teng1,MIAO Qing2,Liesibieke·TALAFUBIEKE1,LI Zhaolan1,FAN Zhenning3
[Abstract](163)
[Objective] Impurities are inevitably present in CO2 transmitted through pipelines, and these substances have significant impacts on the venting process of supercritical CO2 pipelines, including temperature reductions, pressure drops, and phase changes of the medium inside the pipeline. However, experimental research on the venting of large-diameter industrial-scale supercritical CO2 pipelines remains deficient. [Methods] Utilizing a specially designed experimental setup for throttling and venting impurity-containing supercritical CO2 pipelines, a study was conducted to delve into the influences of different contents of CH4 or N2 on temperature reductions, pressure drops, and phase changes in both the main pipeline and vent piping of the supercritical CO2 pipeline during the venting process. Furthermore, the phase changes of fluid in the main pipeline of the impurity-containing supercritical CO2 pipeline during venting were summarized into trend charts. [Results] During the venting process of the impurity-containing supercritical CO2 pipeline, the mixed impurities significantly affected both the CO2 filling quality and the duration of venting. Moreover, the mixed N2 caused a temperature increase of CO2 after throttling in the venting piping. The mixed CH4 or N2 led to an apparent increase in the minimum temperature of the fluid in the main pipeline during venting, while reducing the radial temperature difference of the fluid in the pipeline. With higher contents of impurities mixed, the minimum temperature of the fluid in the pipeline rose while the radial temperature difference decreased. The positions of the minimum temperature in the main pipeline during venting showed contrasting patterns among the scenarios involving pure CO2, impurities at an amount fraction of 1%, and impurities at an amount fraction of 3%. Specifically, during the CO2 pipeline venting, the minimum temperature occurred at the position farthest from the vent piping in the scenarios of pure CO2 and impurities at an amount fraction of 1%. Conversely, in the scenario with impurities at an amount fraction of 3%, the minimum temperature was observed closest to the vent piping. [Conclusion] The study findings can serve as valuable references for designing venting systems, preventing dry ice formation, and protecting pipes during the venting process of impurity-containing supercritical CO2 pipelines. (9 Figures, 3 Tables, 24 References)
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SHEN Qing1,LIU Peng2,GONG Jing2,LI Xiaoping2,WANG Yanqing2
[Abstract](168)
[Objective] With the rising demand in civil aviation and the continual growth of large- and medium-sized airports, reliable and secure apron hydrant pipeline systems are essential for enabling the smooth movement of passengers and cargo at civil aviation airports. Furthermore, an accurate pump start/stop control strategy is vital to ensuring the efficient operation of an automated control system for oil supply at constant pressures. [Methods] An offline simulation program was developed utilizing the characteristic method for hydrant pipeline systems. This program was then cross-checked against SPS software results to validate its accuracy. Subsequently, within the setting of an airport in China, encompassing its actual pipeline network structure and refueling data, simulations were conducted, incorporating different control modes (single-pump frequency conversion and multi-pump frequency conversion) and diverse measurement parameters (pressure-frequency and pressure-flow). Accounting for fluctuations in refueling flow at the airport over a single day, these simulations generated the time-varying outlet pressures at the depot and operational states of refueling pumps under different control strategies. The subsequent statistical analysis enabled the derivation of pump start/stop frequencies and energy consumption associated with pump unit operations for further comparative evaluation. [Results] In control scenarios utilizing pressure-frequency measurements, the system tended to initiate refueling pumps more frequently to manage pressure fluctuations, leading to a higher maximum number of operating pumps compared to scenarios based on pressure-flow measurements. The core objective of pump start-stop control is to align the number of operational pumps with the refueling demand. Additionally, implementing a control strategy that halts pumps more timely presents an effective solution for reducing energy losses. A thorough analysis highlighted the efficacy of the multi-pump variable frequency control mode in maintaining stable pipeline pressures through pump speed adjustments during pump stoppages and significantly decreasing energy consumption by employing pressure-flow measurements to guide pump start/stop decisions. This approach enhances both safety and cost-efficiency in system operations. [Conclusion] The research findings provide valuable insights for design and operational personnel to optimize pump start-stop control strategies. These outcomes are conducive to airport refueling systems in improving planning and design rationale, enhancing dispatching management safety, and refining operational control accuracy. (8 Figures, 3 Tables, 20 References)
[PDF:3732KB](129)[Export Reference]
GONG Yanshuang1,WAN Xiaokang2,WANG Hongjun1,XIN Jiaxing3,CHEN Guangming1,CHEN Jinzhong3,YU Bingfeng3,MA Yilai3
[Abstract](164)
[Objective] Serving as the primary mode of transporting oil and natural gas, pipelines are prone to corrosion, cracks, and other defects under intricate operational conditions. However, conventional magnetic flux leakage testing equipment faces challenges in navigating small-diameter and low-pressure pipelines due to its bulkiness and strong magnetic field attraction. Additionally, this method falls short in pinpointing minor defects. The traditional eddy current testing technique is constrained by the skin effect, impeding its ability to identify outer wall flaws and buried defects, as well as discerning defect depths accurately. Furthermore, ultrasonic testing proves impractical for natural gas pipelines due to the need for couplants. [Methods] This paper presents a novel pipeline defect detection technique that combines DC magnetization and orthogonal differential eddy current methods. Initially, the impact of inner and outer surface defects on the internal eddy current field and magnetic permeability of pipelines was investigated using finite element analysis. Following this, an orthogonal differential eddy current testing probe was developed. Subsequently, dynamic scanning experiments were carried out to detect defects on the inner and outer surfaces of pipelines. [Results] The developed orthogonal differential eddy current testing probe generated signals in response to corrosion on the inner and outer walls as well as cracks in the inner wall. Within a certain range, the peak defect depth and width of the characteristic signal are positively correlated, and the peak and valley spacing are positively correlated with the defect width. The buried defects in pipelines have the same phase as the characteristic signals of the outer wall defects and are opposite to the characteristic signals of the inner wall defects, which can provide a reference for rapid determination of defect locations. [Conclusion] The research findings present a methodology to address the shortcomings of traditional magnetic flux leakage and eddy current testing techniques, providing a valuable perspective for advancing the technological development of on-line pipeline testing. (13 Figures, 1 Table, 21 References)
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LI Rui1,SHI Xinna2,LIU Haotian2,FU Kuan1,MA Jiangtao1,ZHANG Hang2
[Abstract](168)
[Objective] In-line inspection robots are essential tools for conducting in-line inspections of oil and gas pipelines. Nevertheless, the transient and intense vibrations caused by different excitation factors within pipelines, like pipeline elbows, deformations, and welds, undermine the detection accuracy of their built-in sensors and structural reliability. This issue is particularly evident in cases of vibration stemming from pipeline elbows. [Methods] This study proposed a vibration reduction philosophy focusing on the movement characteristics of in-line inspection robots maneuvering through pipeline elbows. The approach integrates damping-mass sphere buffer energy absorption and a variable centroid, drawing from the control principles of tuned mass dampers (TMD) and variable centroid for vibration reduction. Two vibration reduction structures were then developed, each embodying the variable-centroid TMD principle with single-degree-of-freedom (SDOF) and two-degree-of-freedom (2DOF), respectively. Subsequently, simulations were conducted to analyze the vibration responses of in-line inspection robots navigating pipeline elbows, supported by Automatic Dynamic Analysis of Mechanical Systems (ADAMS) and Matlab. Furthermore, a bidirectional fluid-structure interaction dynamic analysis was performed to investigate the impact and collision conditions of robots equipped with the designed vibration reduction structures passing through pipeline elbows. [Results] By comparing and analyzing the time-history curves of accelerations and energy amplitudes of in-line inspection robots passing through pipeline elbows before and after the application of vibration reduction structures, the effects of vibration reduction were revealed for structures with different degrees of freedom. Compared to scenarios without vibration reduction structures, the robot within an SDOF vibration reduction structure experienced sudden acceleration changes when approaching elbows, with its maximum acceleration reaching 3.47 g (1 g = 9.8 m/s2). Meanwhile, the robot equipped with a 2DOF vibration reduction structure experienced reductions in acceleration maximums along the axial and horizontal swing directions by up to 48% and 39% respectively. This decrease led to a significant reduction in vibration energy. [Conclusion] The novel design of variable-centroid TMD structures for in-line inspection robots makes significant contributions to vibration reduction. The study outcomes could potentially be utilized as a theoretical reference for ensuring the stable operation of in-line inspection robots. (13 Figures, 1 Table, 25 References)
[PDF:6258KB](128)[Export Reference]
CUI Zhonghao1,2,LIU Yanhe1,WANG Haitao1,LUO Yanlong1,ZHANG Xinjun1,LI Shili1,ZHOU Shaokun1
[Abstract](163)
[Objective] Numerical simulations represent an important approach to studying the damage evolution behaviors of oil and gas pipelines constructed using high-grade steel. However, the accuracy of simulation results is often restricted by the precision of damage model parameters. Accurately determining damage parameters, being a challenge in the analysis process, is vital to ensure the accuracy of simulation results. [Methods] This study established a fitting relationship between different pore volume fractions and characteristic parameters reflecting material behaviors upon elastic-plastic deformations and damage fractures, through a finite element inverse calibration method integrating material tensile experiments, numerical simulations, and the response surface method, to effectively calibrate the parameters of the Gurson-Tvergaard-Needleman (GTN) damage model for the girth welds in X80 pipelines. The tensile experiment process was numerically inverted, using the calibrated parameters, and the precision of this model was subsequently verified by comparing the fracture characteristics and stress-strain curves between simulation and experimental results. Based on the above-mentioned GTN damage model, numerical simulations and result analysis were conducted for the single edge notch tensile and single edge notch bending experimental processes for the girth welds in X80 pipelines, verifying the applicability of this GTN damage model. [Results] The accuracy verification of calibrated parameters indicated alignment between the fracture positions and fracture characteristics presented by simulations after parameter calibration and the experimental results, and high consistency of their stress-strain curves throughout the damage and fracture process. A comparison of the four characteristic values of tensile stress, tensile strain, fracture stress, and fracture strain resulted in a maximum error not exceeding 10%. In the applicability verification for the model, the apparent toughness values of single edge notch tensile and single edge notch bending specimens were recorded at 0.399 3 and 0.324 2 respectively, corresponding to both final conversion rates of about 1.23.[Conclusion] The parameter verification results prove the effectiveness of the GTN model and its parameter calibration method proposed in this paper in predicting the damage evolution behaviors of the girth welds in X80 pipelines. In addition, the numerical simulation results using the small-scale fracture toughness experiment model built based on the GTN model confirm the difference in fracture toughness among specimens due to the influence of crack tip constraint degrees. The experimental results further demonstrate the substantial application value of the GTN model in the damage and fracture field of X80 oil and gas pipelines. (9 Figures, 3 Tables, 28 References)
[PDF:2972KB](129)[Export Reference]
SUN Huimei1,3,LIU Lu1,3,WANG Degang2,WANG Taiyong3
[Abstract](158)
[Objective] Engineering vehicles operating on large-scale construction sites in high-consequence areas pose severe safety hazards to buried pipelines. This paper addresses the shortcomings of current common techniques for detecting overlapped targets of engineering vehicles and target detection in scenarios with varying sunlight, highlighting issues such as high miss rates and low detection accuracies. The paper introduces a target detection method for engineering vehicles named YOLO-MMCE, which is based on an improved version of YOLOv5. This method focuses on recognizing four main types of engineering vehicles: excavators, loaders, rollers, and heavy trucks. [Methods] The Mosaic + Mixup combined data augmentation approach was adopted to improve the model’s adaptability to diverse scenarios and strengthen its robustness and generalization in intricate real-world settings and ambiguous conditions. In response to challenges pertaining to overlapping targets and inconspicuous features due to illumination variations, a coordinate attention (CA) mechanism was integrated into the YOLOv5 network model to amplify its feature extraction capacity. Additionally, to improve the regression accuracy of prediction borders, an Efficient Intersection over Union (EIOU) function was incorporated to calculate the width-height difference between prediction and real borders to replace the aspect ratio, thus further elevating the detection accuracy of the algorithm. [Results] The YOLO-MMCE algorithm was validated using the datasets comprised of construction site photos captured by surveillance cameras in the high-consequence areas along the Lanzhou-Zhengzhou-Changsha product oil pipeline. The results revealed precision enhancements in engineering vehicle target detection under real-world conditions, resulting from the YOLOv5 algorithm improvements in three aspects. These advancements led to an overall Mean Average Precision (mAP) of 84.8%, a 6.9% increase over the original YOLOv5 algorithm. The target detection mAPs for excavators, loaders, rollers, and heavy trucks were raised by 4.4%, 7.5%, 9.5%, and 6.0% respectively. [Conclusion] The YOLO-MMCE algorithm provides an efficient solution for detecting overlapped targets and engineering vehicle targets in environments with varying sunlight conditions, illustrating its values in practical applications. (3 Figures, 5 Tables, 28 References)
[PDF:1851KB](125)[Export Reference]
LI Zihe1,ZHU Jianlu1,MIAO Qing2,YAN Feng2,OUYANG Xin2,NIE Chaofei2,HAN Hui1,LI Yuxing1
[Abstract](163)
[Objective] Compared with traditional submarine pipelines, Floating Liquefied Natural Gas (FLNG) facilities are deemed more suitable for the exploitation of offshore natural gas. However, their current high cost presents challenges in terms of economic efficiency for some gas fields, limiting their widespread adoption and application to some extent. Pressurized Liquefied Natural Gas (PLNG) technology has emerged as a solution to this issue associated with FLNG. Under pressurization conditions, the liquefaction temperature of natural gas increases, leading to a rise in the solubility of impurities such as carbon dioxide. This property enables the adoption of a simplified natural gas pretreatment unit, and even the exclusion of this unit in some cases, for gas sources with a low CO2 content. Understanding the liquid-solid phase equilibrium mechanism of CO2 in PLNG is crucial for determining the gas-mass treatment indicators of PLNG. [Methods] A novel liquid-solid phase equilibrium test setup was designed and built with visualization and continuous sampling functions. This setup was employed to experimentally determine the liquid-solid phase equilibrium of carbon dioxide. Furthermore, a theoretical calculation model of CO2 solid solubility was developed, following the principle of liquid-solid phase equilibrium. The binary interaction coefficient was optimized using the genetic algorithm and test data. [Results] In the test, the solubility of carbon dioxide solid in LNG exceeded 1.5% at approximately 162 K (equivalent to the saturated vapor pressure of pure methane at around 1.7 MPa). The calculations demonstrated improved accuracy in CO2 solid solubility derived from the established model that was optimized using the genetic algorithm. For instance,considering the solubility of CO2 in pure methane, the average relative percentage error between the results calculated using the optimized model and test data decreased significantly from 10.83% to 2.333 6%. [Conclusion] This study provides a theoretical calculation model with high accuracy, which can be utilized as the foundation for establishing gas-mass indicators for carbon dioxide pretreatment under pressurized liquefaction conditions. The test setup developed in this research is well-suited for future explorations into the liquid-solid phase equilibrium of heavy hydrocarbon components in LNG within the PLNG temperature range. Additionally, this setup has the potential to contribute to the development of a robust impurity precipitation model. (6 Figures, 4 Tables, 34 References)
[PDF:1738KB](128)[Export Reference]
JIA Shaohui1,LI Yaping1,GAO Weixin2,3,PENG Yunchao4,ZHANG Xinjian1,WANG Yuxia1
[Abstract](97)
[Objective] Girth weld quality is considered a significant factor influencing the safe operation of pipelines. X-ray testing serves as a vital technology for identifying weld defects. Nevertheless, differentiating between the feature values of X-ray images for pipeline girth weld defects and noise poses a considerable challenge. [Methods] This paper proposes a high-accuracy automatic recognition method for X-ray images of pipeline girth weld defects. Based on Suspected Defect Region (SDR) and formulated gray densities, a clustering-based SDR segmentation algorithm was constructed, aimed at precise segmentation of defect SDRs in various shapes. To ensure a high success rate of image recognition after segmentation, judging whether an X-ray SDR image represents a defect was treated as a pattern recognition process. By considering SDR images to be evaluated as a linear combination of sample SDR images (i.e., dictionary matrix), the approach of deriving coefficient vectors was employed to determine whether the segmented SDR image signifies a defect. To facilitate judgments with sparse coefficient vectors, coefficient vectors were solved by 0-norm optimization. In addition, the inclusion of a smooth and differentiable function with 0-1 penalty terms made it possible to solve 0-norm optimization using a penalty function method. To maximize the library of image features within the dictionary matrix, an optimal model was established for X-ray SDR images of welds based on orthogonal optimization, along with a dictionary matrix solving algorithm featuring orthogonal optimization. [Results] The established model and algorithm led to the development of pipeline girth weld defect detection software integrating sparse representation and X-ray image detection technology. This software was used to recognize X-ray images of weld defects for a pipeline with a diameter of 762 mm and a wall thickness of 10.3 mm. The outcomes demonstrated an impressive defect detection rate of up to 98%. [Conclusion] The proposed defect identification method demonstrates its capability to greatly improve the detection quality and efficiency of potential safety hazards in pipeline girth welds, underscoring its promising prospects in industrial applications. (7 Figures, 3 Tables, 22 References)
[PDF:2013KB](64)[Export Reference]
WEI Chengguo,WANG Hanwen,LIU Wentao,CUI Wei,ZHAN Wangyu
[Abstract](94)
[Objective] The pile group foundation for large LNG tanks is subjected to relatively large horizontal forces under two seismic conditions: Operating Basis Earthquake (OBE) signifying a 10% probability of exceedance within a 50-year period and Safe Shutdown Earthquake (SSE) denoting a 2% probability of exceedance within the same timeframe. Hence, the checking calculation for the horizontal load-bearing capacity of piles is particularly critical. Nevertheless, the existing empirical formulas given in pertinent codes lack accounting for the superposition effect of pile-soil interactions at different positions within pile groups. As a result, these formulas yield conservative results in the checking calculations, potentially leading to inefficient investments in pile foundation construction. [Methods] To address this shortcoming, this study conducted accuracy verification of soil layer parameters through geotechnical analysis software, PLAXIS 3D, by integrating existing data from field experiments. Numerical simulations were carried out to analyze the elevated pile cap foundation for 20×104 m3 large LNG tanks under varying seismic loads, obtaining the horizontal force distribution characteristics of pile groups under different conditions. [Results] The study revealed that the front-row piles in the force direction experienced greater horizontal forces compared to the center pile, with their ratio decreasing as horizontal loads increased. Traditional design methods outlined in relevant codes yield conservative results due to disregarding the superposition effect of pile-soil interactions at various positions within pile groups, potentially resulting in significant financial waste. To tackle this challenge, a method to determine the horizontal load-bearing capacity of pile groups for LNG tanks was introduced. This method, based on horizontal load-bearing capacity experiments on individual piles, was subsequently compared with traditional design methods. [Conclusion] In addition to factors like the numbers of piles, pile spacings, pile diameters, and constraint modes at the pile tops, this method integrates real pile-soil interactions by adopting a reasonable soil constitutive model and soil layer parameters. On the premise of ensuring sufficient horizontal load-bearing capacity in pile groups, the proposed method significantly reduces design conservatism, serving as a reference in improving the cost efficiency of pile group foundation design with elevated pile caps for LNG tanks. (11 Figures, 6 Tables, 20 References)
[PDF:2842KB](64)[Export Reference]
YANG Yang1,2,LI Chengzhi1,DU Xuan1,YU Xiao3,DONG Shaohua3
[Abstract](96)
[Objective] The integrity management of urban gas pipeline networks demands effective risk assessment methods. Corrosion leakage risk assessment necessitates the comprehensive integration of risk assessment factors with various detection operations. Current detection tasks face challenges due to data complexities and significant data deficiencies. Therefore, it is vital to develop a method for predicting and evaluating corrosion leakage risks. [Methods] Key indicators associated with corrosion leakage risks were selected through a correlation analysis. These identified indicators were then employed to develop an intelligent soft detection model that integrates pipeline and environmental data, based on the K-Nearest Neighbor (KNN) and Random Forest algorithms. [Results] The model conducted predictions on missing detection data and achieved indirect measurements of key indicators, with a relative error between predicted and measured values staying below 25%, meeting acceptable standards. It effectively forecasts pipeline corrosion leakage risks in instances of missing data, paving the way for additional quantitative assessments. In comparison to prior research, the model displayed enhanced prediction accuracy and reliability, attributed to innovations in extracting multi-factor coupling relationships and algorithm choices. Nonetheless, the emergence of some abnormal data suggested constraints on its predictive capacity under specific circumstances and its dependence on complete and precise data. Consequently, enhancing both the quantity and quality of detection data, along with refining the feature extraction approach for key risk indicators, is anticipated to further boost the accuracy of the model. [Conclusion] This research enriches the risk prediction theory concerning corrosion leakage in gas pipelines and offers practical benefits in enhancing pipeline operation safety and reliability. Future research efforts should focus on enhancing data acquisition and analysis techniques, optimizing the model structure, and improving the model adaptability and accuracy across various application scenarios. (10 Figures, 6 Tables, 25 References)
[PDF:2702KB](67)[Export Reference]
FAN Ting
[Abstract](93)
[Objective] The challenging construction site environment for oil and gas storage and transportation projects, with high operational risk and complex personnel composition, poses significant difficulties for safety management. However, the integration of visual intelligence technology can provide effective technical support for improving safety control measures. [Methods] In this paper, the concept of a full-cycle management mode was proposed at first in response to deficiencies in the application of visual intelligence technology in smart construction sites. Subsequently, the deepened application of visual intelligence technology in smart construction sites was analyzed and discussed around the full-cycle management mode. Furthermore, a “video AI + security” mode was identified for full-cycle management of smart construction sites, taking into account actual site safety management needs. Finally, the future application and development trends of visual intelligence technology in smart construction sites were explored and prospected. [Results] A safety management operation guarantee mechanism was implemented through the “video AI + security” mode for the full-cycle management of smart construction sites, enabling total-factor risk identification, all-round event management and thorough safety monitoring, preventing any blind spots or omissions in safety management, and achieving comprehensive, continuous and refined safety management for smart construction sites. Through in-depth analysis of vast video data, a more nuanced understanding of site safety issues and management challenges was gained, establishing a data-driven and data-guided decision-making mechanism, thus further improving the quality and efficiency of site safety management through more intelligent and precise analysis, judgment and scientific decision-making. [Conclusion] The “video AI + security” mode for full-cycle management of smart construction sites innovatively applies intelligent monitoring and judgment to all links of site safety management, creating an interrelated and comprehensive safety management cycle. This approach eliminates blind spots in management and realizes comprehensive safety management, providing a reference for technicians in the oil and gas storage and transportation industry to deepen the application of visual intelligence technology in smart construction sites. (4 Figures, 21 References)
[PDF:1768KB](67)[Export Reference]
About Journal
Governed by: PipeChina
Sponsored by: PipeChina North Pipeline Company
Published by: Editorial Office of Oil & Gas Storage and Transportation
Website: yqcy.paperonce.org
Address: Editorial Office of Oil & Gas Storage and Transportation, No.51, Jinguang  Rd., Langfang City, Hebei Province, 065000, P.R. China
Postal Code: 065000
Tel: +86(316)2176173
E-mail: yqcy@vip.163.com
ISSN 1000-8241 
CN 13-1093/TE
Frequency: Monthly
Book Size: 16-mo
Founded in: 1977

 

 

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