Results 311 to 320 of about 1,534,066 (401)

Damage modeling of CO2 injection well interfaces under coupled thermal, hydraulic and mechanical behavior

open access: yesDeep Underground Science and Engineering, EarlyView.
This paper presents an investigation of CO2 injection well damage evolution considering different injection temperatures and the presence of a pre‐existing defect. The main outcome is that the accurate prediction of well leakage risk requires characteristics such as initial defects to be understood and represented in any modeling efforts. Abstract This
Lee J. Hosking, Xiangming Zhou
wiley   +1 more source

Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation

open access: yesDeep Underground Science and Engineering, EarlyView.
Prediction of grouting efficiency using machine learning is enhanced by adopting a training strategy that accounts for the grouting process across multiple rounds. Abstract Grouting with water–cement mixtures is the most widely used and cost‐effective method for managing excess water inflow during tunnel construction.
Huaxin Liu, Xunchang Fei, Wei Wu
wiley   +1 more source

Physics of notochord tube expansion in ascidians. [PDF]

open access: yesProc Natl Acad Sci U S A
Shi W   +8 more
europepmc   +1 more source

Review of artificial intelligence applications in geothermal energy extraction from hot dry rock

open access: yesDeep Underground Science and Engineering, EarlyView.
This paper systematically summarized the applications of artificial intelligence (AI) in hot dry rock (HDR) geothermal exploitation and discussed the limitations and opportunities. A novel intelligent HDR exploitation system was proposed to promote the development of HDR toward more efficiency, economy, and intelligence.
Kun Ji   +5 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

Numerical investigation on the influence of mesoscopic deformation on contact area and hydraulic aperture to fracture seepage

open access: yesDeep Underground Science and Engineering, EarlyView.
Fluid flow through a single fracture is commonly described by the cubic law. However, deviations from this model are expected because natural fracture surfaces are rough and in contact with each other in discrete regions. In this study, the interactions between fracture closure, contact area, and hydraulic characterization of mesoscopic‐scale rough ...
Chenghao Han   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy