scholarly journals Design and Analysis of Independently Adjustable Large In-Pipe Robot for Long-Distance Pipeline

2020 ◽  
Vol 10 (10) ◽  
pp. 3637
Author(s):  
Wentao Zhao ◽  
Liang Zhang ◽  
Jongwon Kim

Large oil and gas pipelines are prone to corrosion and leakage, so in-pipe inspection is necessary. In this article, we show a novel robot mechanism for long-distance pipeline inspection. The robot consists of three crawlers and electric putters, which can adjust their speed and radius independently. Independent adjustment and system self-checking of the robot are achieved through multiple sensors. To make the robot operate efficiently, we studied the influence of size parameters on the forces between the central body and crawler. Moreover, we investigated how to adjust the attitude of the robot through the differential speed of the three crawlers. Static and dynamic simulations of internal forces are presented. The primary experiments indicate that our robot can operate stably in a large steel pipe.

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Rui Li ◽  
Maolin Cai ◽  
Yan Shi ◽  
Qingshan Feng ◽  
Shucong Liu ◽  
...  

The bending strain of long distance oil and gas pipelines may lead to instability of the pipeline and failure of materials, which seriously deteriorates the transportation security of oil and gas. To locate the position of the bending strain for maintenance, an Inertial Measurement Unit (IMU) is usually adopted in a Pipeline Inspection Gauge (PIG). The attitude data of the IMU is usually acquired to calculate the bending strain in the pipe. However, because of the vibrations in the pipeline and other system noises, the resulting bending strain calculations may be incorrect. To improve the measurement precision, a method, based on wavelet neural network, was proposed. To test the proposed method experimentally, a PIG with the proposed method is used to detect a straight pipeline. It can be obtained that the proposed method has a better repeatability and convergence than the original method. Furthermore, the new method is more accurate than the original method and the accuracy of bending strain is raised by about 23% compared to original method. This paper provides a novel method for precisely inspecting bending strain of long distance oil and gas pipelines and lays a foundation for improving the precision of inspection of bending strain of long distance oil and gas pipelines.


Author(s):  
Mohammad Durali ◽  
Amir Fazeli ◽  
Ali Nabi

In this paper, the transient motion of an intelligent Pipe Inspection Gauge (PIG) while moving across anomalies inside a typical gas/oil pipeline has been investigated. The pipeline fluid has been considered as isothermal and compressible. In addition, the pipeline itself has also been considered to be flexible. The fluid continuity and momentum equations along with the 3D dynamic equations of motion of the pig comprise a system of coupled dynamic differential equations which have been solved numerically. Pig’s position, orientation and velocity profiles as well as upstream and downstream fluid’s pressure waves are presented as simulation results which provide a better understanding of the complex behavior of pig motion through pipelines. This study has been conducted as a part of the design procedure for the Pig which is currently under construction.


2021 ◽  
Vol 266 ◽  
pp. 01016
Author(s):  
Y.Y. Chen ◽  
L.B. Zhang ◽  
J.Q. Hu ◽  
Z.Y. Liu

According to the inherent characteristics of long-distance oil and gas pipelines, the optimization of emergency resources allocation can be implemented to maximize the utilization of pipeline emergency resources under a certain cost of emergency investment. We built an improved solution of a multiple knapsack problem in a greedy algorithm, proposed maximizing Emergency Resources Factor (ERF) as the greedy strategy, and established the optimization model of emergency resources allocation. This model innovatively combines factors such as the centrality of rescue points, the risk of pipe sections, and the necessity of emergency resources. The results show that, compared to a conventional resource allocation in a fixed proportion, an optimized allocation can reduce resource shortage and redundancy by 2.660% and 1.051%, respectively. Therefore, this model can be used to control the initialization of resource allocation in emergency rescue points of long-distance oil and gas pipelines.


2011 ◽  
Vol 8 (1) ◽  
pp. 219-232
Author(s):  
R.M. Bogdanov ◽  
S.V. Lukin

Latterly, oil and gas pipelines are laid not on the bottom of the reservoir, but in wells under the reservoir, for which the inclined and horizontal drilling is carried out. At the same time, failures occur in the design of the drillstring bottom. The theory of horizontal drilling has not been developed yet. The solution is given to the problem of internal forces determining in a drillstring for inclined and horizontal drilling and their change as a result of interaction with the ground.


Author(s):  
Oluwafemi Ayodeji Olugboji ◽  
Adinoyi Abdulmajeed Sadiq ◽  
Oluwafemi Olorunsaiye ◽  
David Omeiza Peters ◽  
Babatunde Ayobami Ajayi

Pipeline defects and oil leakages pose an enormous challenge especially in the oil and gas industries, hence, the need for an effective and economical pipeline inspection system. This work focused on the development of a cost effective In-Line-Inspection tool called a smart pipe inspection gauge (PIG). A Test bed was designed and developed to simulate the impulses experienced by the PIG as it moved along the pipeline. The electronics and sensors embedded in the smart PIG were designed to detect vibrations as it moved along the pipe wall and allowed for the wireless transmission of data collected by the PIG system. The results obtained from the laboratory tests revealed dramatic changes in the vibrational intensity experienced by the smart PIG at various intervals. This validates the use of off-the-shelf sensing equipment with a low cost assembly to detect defects in pipelines.


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