Results 201 to 210 of about 3,904,649 (388)

Permeation Damage of Polymer Liner in Oil and Gas Pipelines: A Review [PDF]

, 2020
Hafiz Usman Khalid, Mokhtar Che Ismail, Norlin Nosbi   +2 more
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Advances and challenges in oil and gas pipeline pigging technology: a comprehensive review. [PDF]

Sci Rep
Hu Z, Zhang Y, Liu Q, Liu B, Zhao L.
europepmc   +1 more source

Research on Signal Feature Extraction of Natural Gas Pipeline Ball Valve Based on the NWTD-WP Algorithm. [PDF]

Sensors (Basel), 2023
Yang L, Li S, Wang Z, Hou J, Zhang X.
europepmc   +1 more source

HIFLD OPEN Natural Gas Interstate and Intrastate Pipelines

U.S. Energy Information Administration, United States Department of Homeland Security   +1 more
openalex   +1 more source

Leakage Detection in Underground Gas Pipeline

, 2019
Renuka Kishor Kale, Sanjay L. Nalbalwar, S. B. Deosarkar, Sachin Singh   +3 more
openalex   +1 more source

Risk Analysis on Leakage Failure of Natural Gas Pipelines by Fuzzy Bayesian Network with a Bow-Tie Model [PDF]

, 2017
Xian Shan, Kang Liu, Pei-Liang Sun
openalex   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

Research on Leakage Diffusion and Prediction Model of Multifactor High-Pressure Buried Hydrogen-Blended Natural Gas Pipeline. [PDF]

ACS Omega
Ban J, Wang X, Yang W, Liu G, Wang X, Yan X, Yuan X.   +6 more
europepmc   +1 more source

Semi-supervised learning framework for oil and gas pipeline failure detection. [PDF]

Sci Rep, 2022
Alobaidi MH, Meguid MA, Zayed T.
europepmc   +1 more source