Economic Model for Welding Natural Gas Pipelines in Mountainous Areas

Welding of long-distance pipelines is a crucial step to ensure the safe operation of pipelines. In mountainous regions, the actual welding efficiency is often significantly lower than the theoretical efficiency, and the lack of standardized guidelines for on-site selection leads to a general preference for more mature semiautomatic welding combinations. This tendency hinders the broader adoption of automated welding technology for pipelines. To address this issue, we established cost functions for individual welds and total welding costs, clarifying the proportion of labor, equipment, and material costs in different welding methods. We developed a total welding cost function for various welding methods, forming an economic welding matrix to recommend welding techniques suitable for different terrains and construction segment lengths, providing a reference for selecting on-site welding methods. Additionally, an economic model for welding natural gas pipelines in mountainous areas was established from the perspective of engineering economics. This model not only considers the direct costs of the welding process but also reflects the impact of terrain and project scale on economic efficiency, offering guidance for selecting welding methods in complex environments. Finally, the accuracy of the economic model was validated using a specific construction segment.

Institutions

Publication Details

Journal
Journal of Pipeline Systems Engineering and Practice
Published
2025-09-27
DOI
https://doi.org/10.1061/jpsea2.pseng-1926
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Economic Model for Welding Natural Gas Pipelines in Mountainous Areas

Journal of Pipeline Systems Engineering and Practice
Genetics, Bioinformatics, and Biomedical Research
article

Economic Model for Welding Natural Gas Pipelines in Mountainous Areas

article en

Abstract

Welding of long-distance pipelines is a crucial step to ensure the safe operation of pipelines. In mountainous regions, the actual welding efficiency is often significantly lower than the theoretical efficiency, and the lack of standardized guidelines for on-site selection leads to a general preference for more mature semiautomatic welding combinations. This tendency hinders the broader adoption of automated welding technology for pipelines. To address this issue, we established cost functions for individual welds and total welding costs, clarifying the proportion of labor, equipment, and material costs in different welding methods. We developed a total welding cost function for various welding methods, forming an economic welding matrix to recommend welding techniques suitable for different terrains and construction segment lengths, providing a reference for selecting on-site welding methods. Additionally, an economic model for welding natural gas pipelines in mountainous areas was established from the perspective of engineering economics. This model not only considers the direct costs of the welding process but also reflects the impact of terrain and project scale on economic efficiency, offering guidance for selecting welding methods in complex environments. Finally, the accuracy of the economic model was validated using a specific construction segment.

Journal of Pipeline Systems Engineering and PracticeVol. 17(1)
Southwest Petroleum University (CN), PetroChina Southwest Oil and Gas Field Company (China)
Openalex Percentile: Top 49%
Genetics, Bioinformatics, and Biomedical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.