Results 161 to 170 of about 146,299 (379)
Bolt Anchorage Quality Levels Classification Method Based on HO‐VMD‐CNN‐BiLSTM
Energy Science &Engineering, EarlyView.First, the original ultrasound‐guided wave signal data is decomposed into multiple sub‐signals with varying frequencies using VMD to capture the multi‐scale features within the data. Second, the decomposed and noise‐reduced signal, processed by the HO‐VMD algorithm, is input into the CNN for further feature extraction through convolution and pooling ...
Fan Kesong +7 more
wiley +1 more source
Notes on the petrology of the agglomerates and hypabyssal intrusions between Largo and St. Monans [PDF]
, 1916 。 Wallace, I.F. Stewart
openalex +1 more source
Energy Science &Engineering, EarlyView.ABSTRACT Nuclear magnetic resonance (NMR) is widely used to characterize fluids in rock pore spaces, but traditional methods have difficulty distinguishing fractures from matrix pores in complex carbonate formations. To address this, we developed a calibration method that integrates X‐ray computed tomography (CT) imaging with NMR to identify fracture ...
Ying Yang +6 more
wiley +1 more source
Study on Energy Evolution Law of Rocks With Different Lithologies and Sizes
Energy Science &Engineering, EarlyView.ABSTRACT Investigating the actual patterns of energy accumulation and release in roof rock, particularly with varying stiffnesses in mining environments, is crucial. By conducting cyclic loading and unloading tests on rock samples of different lithologies, different sizes, and consistent stiffness, how lithology, size, and stiffness affect the ...
Yanchun Yin +5 more
wiley +1 more source
The picrite-basalts of Kilauea, [Part] 1 of Contributions to the petrology of Hawaiian basalts [PDF]
, 1957 I. D. Muir, C. E. Tilley
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Energy Science &Engineering, EarlyView.ABSTRACT Shale gas, as an important component of unconventional natural gas, plays a crucial role in resource development. This paper proposes a comprehensive analytical method that combines field analysis and well logging interpretation to evaluate gas content in shale reservoirs.
Jin Pang +6 more
wiley +1 more source
Energy Science &Engineering, EarlyView.A support vector machine (SVM) algorithm was applied to quantitatively predict the connectivity of the sand bodies. Verification using dynamic and static data demonstrated that the prediction accuracy of the algorithm reached 88%. The quantitative sand body connectivity results were used to establish a single sand body model.
Hui He +6 more
wiley +1 more source