Results 231 to 240 of about 1,556,019 (343)
This study leverages machine learning algorithms—specifically artificial neural networks (ANN) and genetic programming (GP)—to forecast and analyze variations in vault settlement measurements during excavation of small interval tunnel. A settlement prediction model was developed and validated through comparative analysis with regression to evaluate the
Wenjie Zhai +7 more
wiley +1 more source
Stratigraphic and structural architecture of the inner ramp carbonates in the Northern Galala Plateau, Egypt: synergizing remote sensing and field data. [PDF]
Fathy MS +4 more
europepmc +1 more source
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan +8 more
wiley +1 more source
Spatial distribution of selected coastal Sabkhas along the Southern Red Sea Coast of Egypt. [PDF]
Younis NA +4 more
europepmc +1 more source
Active tectonics of the Alpine—Himalayan belt: the Aegean Sea and surrounding regions
D. McKenzie
semanticscholar +1 more source
Study on Deformation Law of Crossing Layer Drilling Superimposed Floor Roadway
Based on deformation law of crossing layer drilling superimposed floor roadway, low dip angle drilling is particularly susceptible to complications such as borehole blockage and collapse. ABSTRACT Floor extraction roadway crossing layer drilling is a pivotal strategy for gas control in areas prone to coal and gas outbursts.
Xiao Liu +9 more
wiley +1 more source
Origin and evolution of fluids and heatflow in geothermal systems of Indus River Basin (IRB), India. [PDF]
Jeelani G +4 more
europepmc +1 more source
A comparative study was conducted on gas desorption laws of raw and tectonic coals. The sensitivity of regional and local outburst prediction indexes was compared. Gas content is more sensitive than gas pressure for composite coal seams. K1 can more accurately predict the outburst danger than Δh2 $\Delta {h}_{2}$ in composite coal seams.
Haijun Guo +4 more
wiley +1 more source
Ensemble machine learning strategies for mineral prospectivity mapping under data scarcity. [PDF]
Amirajlo P +3 more
europepmc +1 more source
Combining the nozzle structure and wellbore size of the second natural gas hydrate trial production, the CFD is employed to analyze the internal and external flow fields of convergent–divergent cavitation nozzle. Analyzing the influence of various structural parameters of the nozzle on its jet performance, and the nozzle configuration with optimal jet ...
Wang Yingsheng +5 more
wiley +1 more source

