Evaluate of anti-explosion for high-pressure gas steel pipeline subjected to ground explosion
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Internal pressure
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This paper investigates the potential of using controlled hydraulic transients for the non-intrusive internal condition assessment of water transmission pipelines. Deterioration of pipelines is a natural process. The effective tool for evaluating the state of the pipeline interior could be extremely useful while planning the rehabilitation or identifying critical points in the system. A non-intrusive technique for evaluating the state of internal surface of the pipeline is introduced. The total length of the pipeline is divided into a number of segments and the condition of each segment is assessed based on the transient response corresponding to that interval. In addition to quantification of the deterioration level of different sections of the pipeline, critical points were identified where closer investigation was suggested. The technique was tested on a real pipeline. The proposed methodology is in the early stage of development.
Transient (computer programming)
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This paper presents a novel system design for a modular serial pipeline inspection robot, named RoboChain-I, which has the capability of actively deforming to adapt to changes in pipeline shape and diameter. RoboChain-I is specifically designed for inspecting small and medium-sized pipelines with inner diameters ranging from 17.5 cm to 44 cm, and exhibits high environmental adaptability. In contrast to conventional wheeled pipeline climbing robots, RoboChain-I offers a more flexible joint degrees of freedom setting, enabling it to navigate complex pipelines. The effectiveness of the new structure and control method of the pipeline inspection robot proposed was validated through experiments conducted on the ground and within straight and inclined pipelines. The results demonstrate that RoboChain-I has superior pipeline mobility performance.
Adaptability
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Aiming at the features of separate system drainage pipeline and learning from administrative departments construction units,there are several key issues existed in separate system drainage pipelines design analyzed and discussed with relevant professional experience including pipelines layout,minimum pipeline diameter choice,connection of separated combined pipelines,pipelines intersection,pipeline crossing river canals and pipeline crossing road.Meanwhile,the optimization methods and solutions are proposed to provide references for designing separate system drainage pipelines more rationally.
Drainage system (geomorphology)
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For hot crude oil pipeline,shut down,start-up and operation are based on the soil temperature around the crude pipeline.Only the distribution of the soil temperature was obtained accurately can make sure the pipeline operate safely and avoid condensing the pipeline.In pipelines laid in one ditch,hot crude oil pipeline temperature field was influenced by the cool products pipeline,so the temperature field of pipelines laid in one ditch was different from the single pipeline.On the crude oil pipeline and the products pipeline in China,the three-dimensional temperature field of pipelines laid in one ditch was carried out with the unstructured mesh and standard k-e model.Comparing the temperature field of pipelines laid in one ditch with the one of single pipeline,the effect of products pipeline on temperature field of crude pipeline was analyzed.
Ditch
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A list of the most important unsolved problems in VFX production should include the word "pipeline". Pipelines are a major source of efficiency, but they require ongoing development, and are seemingly never finished. They also resist change. Is it possible to automatically generate pipelines given desired inputs and outputs or design one "universal" pipeline that can do everything with no further modification ever needed? We present similarities between pipelines and programs, and recall metamathematical statements which show that the answer to the above question is negative. However, new approximate solutions may someday mitigate to a large extent this negative situation.
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There are different oil products in running of sequential transportation pipeline, and these branch pipelines are used to subtract some oil from the main pipeline or trickle some oil into the main pipeline due to the different demand between different regions. When these branch pipelines work, the flow velocity and pressure in the main pipeline behind the branches will change. In this paper, the software was used to simulate the examples, effect of branch pipelines running on the main pipeline was analyzed, which could provide theoretical basis for planning sequential transportation scheme.
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Traditional pipeline coatings have very limited use on pipelines that operate at temperatures above 65°C (150°F). As production and transport temperatures increase, pipeline coatings must be able to perform accordingly. Presently, the product must be temperature. Pipeline coatings must perform at these higher temperatures in conjunction with cathodic discusses the development and testing of a new pipeline coating system that can be field-applied to existing hot pipelines or to new pipelines that will later operate at high temperatures.
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Data preparation is crucial in achieving optimized results for machine learning (ML). However, having a good data preparation pipeline is highly non-trivial for ML practitioners, which is not only domain-specific, but also dataset-specific. There are two common practices. Human-generated pipelines (HI-pipelines) typically use a wide range of any operations or libraries but are highly experience- and heuristic-based. In contrast, machine-generated pipelines (AI-pipelines), a.k.a. AutoML, often adopt a predefined set of sophisticated operations and are search-based and optimized. These two common practices are mutually complementary. In this paper, we study a new problem that, given an HI-pipeline and an AI-pipeline for the same ML task, can we combine them to get a new pipeline (HAI-pipeline) that is better than the provided HI-pipeline and AI-pipeline? We propose HAIPipe, a framework to address the problem, which adopts an enumeration-sampling strategy to carefully select the best performing combined pipeline. We also introduce a reinforcement learning (RL) based approach to search an optimized AI-pipeline. Extensive experiments using 1400+ real-world HI-pipelines (Jupyter notebooks from Kaggle) verify that HAIPipe can significantly outperform the approaches using either HI-pipelines or AI-pipelines alone.
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Due to the increasing demand for natural gas in many locations, there is often a need to increase the capacity of existing and future gas transmission pipeline networks. In some situations, there may be a possibility of increasing the operating pressure (e.g. uprating), but in others there may be no alternative but to lay new pipelines, often along the same route as an existing pipeline. If one pipeline fails in this situation, it is possible that a second parallel pipeline may also fail as a result. However, there is also increasing pressure on the use of land and therefore the minimum separations with which pipelines may be laid and operated safely when in parallel to other pipelines need to be considered. This paper describes work carried out as a collaborative project supported by gas transmission pipeline operators to provide guidance on the likelihood of failure of a pipeline, for a range of different conditions, following failure of an adjacent pipeline. A framework has been developed that identifies the sequence of events that could lead to failure of a parallel pipeline, including the possibility of escalation from a leak (or puncture) to a full bore rupture. Work has been carried out including large scale experiments and CFD (Computational Fluid Dynamics) modelling to enable the critical processes in the framework to be quantified. This methodology has been used to produce general guidelines for parallel pipeline assessments, in order to support the design of new parallel pipeline installations. The methodology has been developed specifically for parallel natural gas transmission pipelines. However, the principles are relevant to parallel pipelines transporting other substances, and consideration is given to how the methodology may be adapted for such circumstances. The methodology provides input to any risk assessments of parallel pipeline installations, to quantify the possible contribution to the failure frequency from escalation. General guidance developed using the methodology presented in this paper, has recently been included in the recommendations for steel transmission pipelines, IGEM/TD/1 (Edition 5), published by the Institution of Gas Engineers and Managers. However, where general recommendations are not achievable, the methodology may be applied to take site and pipeline-specific factors into account.
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