98%
921
2 minutes
20
To meet the special needs of preventive maintenance for oil and gas well pipelines, this study conducts a geometric dissection of remora suckerfish based on bionics. It combines the biological features with fiberboard tape and uses the discrete element method to construct a particle model of solvent-free, epoxy-reinforced polymer materials, determining relevant parameters. The model accuracy is verified through volumetric density and drop tests, and the optimal parameter combination of the remora-inspired structure is obtained via multi-factor simulation analysis. Comparative tests confirm that the bionic structure enhances stability by approximately 43.29% compared to the original structure, effectively avoiding insufficient strength. It successfully addresses the gravitational segregation and fluid shear caused by uneven coating thickness, ensures stable and reliable interfacial properties of the composite structure during service, and provides strong support for the practical application of related materials in the preventive repair of oil and gas well pipelines. The findings promote the upgrade of oil and gas pipeline maintenance strategies from "passive response" to "active prevention", laying the core technical foundation for the resilience of energy infrastructure.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12292954 | PMC |
http://dx.doi.org/10.3390/biomimetics10070436 | DOI Listing |
Chem Rec
September 2025
Interdisciplinary Research Center for Hydrogen Technologies and Carbon Management (IRC-HTCM), King Fahd University of Petroleum & Minerals, KFUPM Box 5040, Dhahran, 31261, Saudi Arabia.
The synthesis of biomass-derived nanocarbons via ball milling has emerged as an innovative, sustainable, and cost-effective strategy in the field of nanotechnology. This review comprehensively explores the principles, mechanisms, and process parameters that influence the production of high-quality nanocarbons from biomass using ball milling. This process efficiently transforms biomass residues into nanoscale carbon, including graphene, carbon nanotubes, and nanofibers, with tunable physicochemical properties tailored for advanced applications.
View Article and Find Full Text PDFMagn Reson Lett
May 2025
State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), Beijing, 102249, China.
Low-field nuclear magnetic resonance (NMR) has broad application prospects in the exploration and development of unconventional oil and gas reservoirs. However, NMR instruments tend to acquire echo signals with relatively low signal-to-noise ratio (SNR), resulting in poor accuracy of spectrum inversion. It is crucial to preprocess the low SNR data with denoising methods before inversion.
View Article and Find Full Text PDFACS Omega
September 2025
Centre of Petroleum Engineering and Geosciences, King Fahd University of Petroleum and Minerals, Dhahran 31261, Kingdom of Saudi Arabia.
The global warming crisis, traceable to the rise in greenhouse gas emissions, has called for more proactive measures to curb the emission levels. To this effect, several technologies have been suggested. Out of the lot, carbon capture, utilization, and storage have been identified as one of the most feasible and pragmatic methods.
View Article and Find Full Text PDFACS Omega
September 2025
Petroleum Exploration and Engineering Lab (LENEP), North Fluminense State University (UENF), Macaé 27930-480, Brazil.
Understanding seismic attenuation in carbonate rocks is critical for improving reservoir characterization and fluid monitoring during hydrocarbon exploration. This study investigated the behavior of P-wave attenuation (1/ ) during fluid substitution from saltwater to oil in coquina samples from the Morro do Chaves Formation, an analogue of Brazilian pre-salt reservoirs. Laboratory experiments were conducted at an ultrasonic frequency (1.
View Article and Find Full Text PDFACS Omega
September 2025
Shandong Provincial Key Laboratory of Oil, Gas and New Energy Storage and Transportation Safety, China University of Petroleum, Qingdao, Shandong 266580, People's Republic of China.
The natural gas pipeline network has a complex topology with variable flow directions, and the supply demand relationships between nodes exhibit cyclical, fluctuating, and time-varying trends. Developing efficient, accurate, and fast intelligent control algorithms is crucial for optimizing the distribution of natural gas networks. Analyzing the operational data from a provincial network over three years revealed that abnormal flow data, such as supply interruptions due to incidents, early fulfillment of supply, and insufficient flow distribution, can cause deviations between the actual transmission volume and the planned transmission volume predicted by the uneven coefficient method.
View Article and Find Full Text PDF