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"GAS PIPELINES"
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Handbook of Natural Gas Transmission and Processing
by
Speight, James G
,
Poe, William A
,
Mokhatab, Saeid
in
Gas manufacture and works
,
Natural gas
,
Natural gas pipelines
2006,2017
Handbook of Natural Gas Transmission and Processing gives engineers and managers complete coverage of natural gas transmission and processing in the most rapidly growing sector to the petroleum industry.The authors provide a unique discussion of new technologies that are energy efficient and environmentally appealing at the same time.
Detection of Natural Gas Leakages Using a Laser-Based Methane Sensor and UAV
by
Iwaszenko, Sebastian
,
Słota, Marcin
,
Rudzki, Andrzej
in
Altitude
,
data analysis
,
Data collection
2021
The safety of the gas transmission infrastructure is one of the main concerns for infrastructure operating companies. Common gas pipelines’ tightness control is tedious and time-consuming. The development of new methods is highly desirable. This paper focuses on the applications of air-borne methods for inspections of the natural gas pipelines. The main goal of this study is to test an unmanned aerial vehicle (UAV), equipped with a remote sensing methane detector, for natural gas leak detection from the pipeline network. Many studies of the use of the UAV with laser detectors have been presented in the literature. These studies include experiments mainly on the artificial methane sources simulating gas leaks. This study concerns the experiments on a real leakage of natural gas from a pipeline. The vehicle at first monitored the artificial source of methane to determine conditions for further experiments. Then the experiments on the selected section of the natural gas pipelines were conducted. The measurement data, along with spatial coordinates, were collected and analyzed using machine learning methods. The analysis enabled the identification of groups of spatially correlated regions which have increased methane concentrations. Investigations on the flight altitude influence on the accuracy of measurements were also carried out. A range of between 4 m and 15 m was depicted as optimal for data collection in the natural gas pipeline inspections. However, the results from the field experiments showed that areas with increased methane concentrations are significantly more difficult to identify, though they are still noticeable. The experiments also indicate that the lower altitudes of the UAV flights should be chosen. The results showed that UAV monitoring can be used as a tool for the preliminary selection of potentially untight gas pipeline sections.
Journal Article
Gaslight
Imagine one day you receive a letter in the mail that informs you that a large energy company is planning to build a massive pipeline through your property.That surveyors will be coming out soon.
Improved AHP–TOPSIS model for the comprehensive risk evaluation of oil and gas pipelines
2019
A comprehensive and objective risk evaluation model of oil and gas pipelines based on an improved analytic hierarchy process (AHP) and technique for order preference by similarity to an ideal solution (TOPSIS) is established to identify potential hazards in time. First, a barrier model and fault tree analysis are used to establish an index system for oil and gas pipeline risk evaluation on the basis of five important factors: corrosion, external interference, material/construction, natural disasters, and function and operation. Next, the index weight for oil and gas pipeline risk evaluation is computed by applying the improved AHP based on the five-scale method. Then, the TOPSIS of a multi-attribute decision-making theory is studied. The method for determining positive/negative ideal solutions and the normalized equation for benefit/cost indexes is improved to render TOPSIS applicable for the comprehensive risk evaluation of pipelines. The closeness coefficient of oil and gas pipelines is calculated by applying the improved TOPSIS. Finally, the weight and the closeness coefficient are combined to determine the risk level of pipelines. Empirical research using a long-distance pipeline as an example is conducted, and adjustment factors are used to verify the model. Results show that the risk evaluation model of oil and gas pipelines based on the improved AHP–TOPSIS is valuable and feasible. The model comprehensively considers the risk factors of oil and gas pipelines and provides comprehensive, rational, and scientific evaluation results. It represents a new decision-making method for systems engineering in pipeline enterprises and provides a comprehensive understanding of the safety status of oil and gas pipelines. The new system engineering decision-making method is important for preventing oil and gas pipeline accidents.
Journal Article
Research on Pipeline Stress Detection Method Based on Double Magnetic Coupling Technology
2024
Oil and gas pipelines are subject to soil corrosion and medium pressure factors, resulting in stress concentration and pipe rupture and explosion. Non-destructive testing technology can identify the stress concentration and defect corrosion area of the pipeline to ensure the safety of pipeline transportation. In view of the problem that the traditional pipeline inspection cannot identify the stress signal at the defect, this paper proposes a detection method using strong and weak magnetic coupling technology. Based on the traditional J-A (Jiles–Atherton) model, the pinning coefficient is optimized and the stress demagnetization factor is added to establish the defect of the ferromagnetic material. The force-magnetic relationship optimization model is used to calculate the best detection magnetic field strength. The force-magnetic coupling simulation of Q235 steel material is carried out by ANSYS 2019 R1 software based on the improved J-A force-magnetic model. The results show that the effect of the stress on the pipe on the magnetic induction increases first and then decreases with the increase in the excitation magnetic field strength, and the magnetic signal has the maximum proportion of the stress signal during the excitation process; the magnetic induction at the pipe defect increases linearly with the increase in the stress trend. Through the strong and weak magnetic scanning detection of cracked pipeline materials, the correctness of the theoretical analysis and the validity of the engineering application of the strong and weak magnetic detection method are verified.
Journal Article
Research on Detection Methods for Gas Pipeline Networks Under Small-Hole Leakage Conditions
by
Yang, Lingxi
,
Duan, Qingqing
,
Zhao, Zhiqiang
in
Accuracy
,
Artificial intelligence
,
Comparative analysis
2025
Gas pipeline networks are vital urban infrastructure, susceptible to leaks caused by natural disasters and adverse weather, posing significant safety risks. Detecting and localizing these leaks is crucial for mitigating hazards. However, existing methods often fail to effectively model the time-varying structural data of pipelines, limiting their detection capabilities. This study introduces a novel approach for leak detection using a spatial–temporal attention network (STAN) tailored for small-hole leakage conditions. A graph attention network (GAT) is first used to model the spatial dependencies between sensors, capturing the dynamic patterns of adjacent nodes. An LSTM model is then employed for encoding and decoding time series data, incorporating a temporal attention mechanism to capture evolving changes over time, thus improving detection accuracy. The proposed model is evaluated using Pipeline Studio software and compared with state-of-the-art models on a gas pipeline simulation dataset. Results demonstrate competitive precision (91.7%), recall (96.5%), and F1-score (0.94). Furthermore, the method effectively identifies sensor statuses and temporal dynamics, reducing leakage risks and enhancing model performance. This study highlights the potential of deep learning techniques in addressing the challenges of leak detection and emphasizes the effectiveness of spatial–temporal modeling for improved detection accuracy.
Journal Article
Natural Gas: From Shortages to Abundance in the United States
2013
The history of natural gas wellhead and pipeline regulation, deregulation and regulatory reforms are discussed. These reforms brought natural gas shortages and pipeline inefficiencies to an end. They also created an economic platform that could support unanticipated developments in the supply and costs of domestic natural gas. Such unanticipated developments emerged in the last few years as several technological innovations came together to make it commercially attractive to development US shale gas deposits located deep in the earth. How and why shale gas supplies will lead to dramatic changes in the United States' energy future with appropriate environmental regulatory reforms are discussed.
Journal Article
Research on Internal Shape Anomaly Inspection Technology for Pipeline Girth Welds Based on Alternating Excitation Detection
by
Huang, Jie
,
Chen, Pengchao
,
Fu, Kuan
in
Accidents
,
alternating excitation detection
,
Analysis
2023
Abnormal formation of girth weld is a major threat to the safe operation of pipelines, which may lead to serious accidents. Therefore, regular inspection and maintenance of girth weld are essential for accident prevention and energy security. This paper presents a novel method for inspecting abnormal girth weld formation in oil and gas pipelines using alternating excitation detection technology. The method is based on the analysis of the microscopic magnetic variations in the welded area under alternating magnetic fields. An internal inspection probe and electronic system for detecting abnormal girth weld formation were designed and developed. The system’s capability to identify misalignment, undercutting, root concavity, and abnormal formation height of girth weld was tested by numerical simulation and experimental study. The results show that the detection system can effectively identify a minimum misalignment of 0.5 mm at a lift-off height of 15 mm. The proposed method offers several advantages, such as rapid response, low cost, non-contact operation, and high sensitivity to surface flaws in ferromagnetic pipelines.
Journal Article
Piping Engineering
by
Karan Sotoodeh
in
Piping
2022
Eliminate or reduce unwanted emissions with the piping engineering techniques and strategies contained in this book
Piping Engineering: Preventing Fugitive Emission in the Oil and Gas Industry is a practical and comprehensive examination of strategies for the reduction or avoidance of fugitive emissions in the oil and gas industry. The book covers key considerations and calculations for piping and fitting design and selection, maintenance, and troubleshooting to eliminate or reduce emissions, as well as the various components that can allow for or cause them, including piping flange joints.
The author explores leak detection and repair (LDAR), a key technique for managing fugitive emissions. He also discusses piping stresses, like principal, displacement, sustained, occasional, and reaction loads, and how to calculate these loads and acceptable limits. Various devices to tighten the bolts for flanges are described, as are essential flange fabrications and installation tolerances.
The book also includes:
* Various methods and calculations for corrosion rate calculation, flange leakage analysis, and different piping load measurements
* Industry case studies that include calculations, codes, and references
* Focuses on critical areas related to piping engineering to prevent emission, including material and corrosion, stress analysis, flange joints, and weld joints
* Coverage of piping material selection for offshore oil and gas and onshore refineries and petrochemical plants
Ideal for professionals in the oil and gas industry and mechanical and piping engineers, Piping Engineering: Preventing Fugitive Emission in the Oil and Gas Industry is also a must-read resource for environmental engineers in the public and private sectors.