Results 161 to 170 of about 118,873 (258)
Terrane accretion explains thin and hot ocean-continent back-arcs. [PDF]
Erdős Z+3 more
europepmc +1 more source
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi+4 more
wiley +1 more source
Unraveling the mysteries of volatile cycling and habitability on Earth and beyond. [PDF]
Xu YG, Zhu RX, Dai MH.
europepmc +1 more source
ABSTRACT To evaluate the hydrocarbon generation characteristics and geological significance of deep‐source rocks in the Gulong Sag of the Songliao Basin and to identify the next exploration targets in the study area, this study focuses on the organic‐rich mudstones and shales from the deep formations of the Gulong Sag.
Bo Hu+6 more
wiley +1 more source
A deep learning identification method of tight sandstone lithofacies integrating multilayer perceptron and multivariate time series. [PDF]
Mu Z+8 more
europepmc +1 more source
ABSTRACT In consideration of the significance of connectivity features and topological relationships within the pore‐crack network, the micro‐scale pore‐crack microstructure of intact and tectonic coals from Qinan was investigated in 3D spatial visualization using digital core technology.
Congmeng Hao+5 more
wiley +1 more source
Author Correction: India-Eurasia convergence speed-up by passive-margin sediment subduction. [PDF]
Zhou H+5 more
europepmc +1 more source
ABSTRACT The Pabdeh Formation (Paleocene‐Oligocene) is one of the hydrocarbon‐generating formations in the Zagros sedimentary basin. In this study, to evaluate its hydrocarbon potential and the distribution of organic matter maturity, samples were collected from oil fields in southwestern Iran and the Dezful embayment and analyzed geochemically.
Yingchun Liu+3 more
wiley +1 more source
Influencing factors and quantitative prediction of gas content of deep marine shale in Luzhou block. [PDF]
He X+14 more
europepmc +1 more source