Results 171 to 180 of about 1,123,828 (350)

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

open access: yesEnergy Science &Engineering, EarlyView.
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

Study on the Influence of Slope Static Load on Shallow Lining Support Structure

open access: yesEnergy Science &Engineering, EarlyView.
On the basis of the background of the shallow‐buried main adit supported by stone lining, the mechanical model of the supporting structure is constructed, and the stability of the supporting structure is analyzed by using the methods of field investigation, theoretical analysis, and numerical simulation.
Hongwei Wang   +3 more
wiley   +1 more source

Study on Deformation Law of Crossing Layer Drilling Superimposed Floor Roadway

open access: yesEnergy Science &Engineering, EarlyView.
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

Experimental Investigation of Sensitivity for Coal and Gas Outburst Risk Prediction Indexes in Raw and Tectonic Composite Coal Seams

open access: yesEnergy Science &Engineering, EarlyView.
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

Application of Seismic Sensors in Measurement While Drilling. [PDF]

open access: yesSensors (Basel)
Khanal M   +5 more
europepmc   +1 more source

Study of sample drilling techniques for Mars sample return missions [PDF]

open access: yes
To demonstrate the feasibility of acquiring various surface samples for a Mars sample return mission the following tasks were performed: (1) design of a Mars rover-mounted drill system capable of acquiring crystalline rock cores; prediction of ...
Harris, P. T., Mitchell, D. C.
core   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

open access: yesEnergy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen   +4 more
wiley   +1 more source

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