Results 231 to 240 of about 122,094 (363)

Author response for "Long‐term slip rate estimation for Erciş Fault in East Anatolian Compressive Tectonic Block from geologic and geomorphologic field evidence"

, 2021
Azad Sağlam Selçuk, Ahmet Özkan Kul
openalex   +1 more source

Geology and Evaluation of Faults in the Site of Higashidori Nuclear Power Plant

Journal of the Atomic Energy Society of Japan, 2013
Yuichi BANDO, Tadashi MIWA, Yuji TORIGOE, Shuichi HASHIMOTO   +3 more
openaire   +2 more sources

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

Deep 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

Advanced integrated strategy for structural and mineralogical exploration of inaccessible regions employing remote sensing and multiscale analysis of aeromagnetic data. [PDF]

Sci Rep
Eldosouky AM, El-Wahed MAA, Attia M, Saada SA, Abbas MA.   +4 more
europepmc   +1 more source

Geological tourist mapping of the Mount Serrone fault Geosite (Gioia dei Marsi, Central Apennines, Italy) [PDF]

, 2019
Tommaso Piacentini, Enrico Miccadei, Gianclemente Berardini, Luigi Aratari, Antonio De Ioris, Monia Calista, Cristiano Carabella, Roberto d’Arielli, Vania Mancinelli, Giorgio Paglia, Marcello Buccolini   +10 more
openalex   +1 more source

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

Deep 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, Hong Li, Yu Zhao, Kaoshan Dai, Sai Liu, Chun'an Tang   +5 more
wiley   +1 more source

Tectonic evolution and mineralization exploration of Lujing uranium ore field, South China. [PDF]

Sci Rep
Ren W, Li H, Guan A, Gao S, Wang Q, Ouyang P, Cao H, Sun Y, Yan F.   +8 more
europepmc   +1 more source

Resonance‐induced restoration of rock permeability degraded by heavy components of crude oil

Deep Underground Science and Engineering, EarlyView.
Resonance‐induced changes occur in filtration properties of sedimentary rocks in crude paraffin oil flow under acoustic vibrations. Experimental data on (a) pressure drop; (b) permeability; (c) pressure at the rock inlet; and (d) pressure at the rock outlet are presented.
Evgenii Riabokon, Qian Yin, Mikhail Guzev, Mikhail Turbakov, Evgenii Kozhevnikov, Nadezhda Riabokon, Ivan Panteleev   +6 more
wiley   +1 more source

The NW extension of the Nahavand Fault along the Main Recent Fault, west Iran. [PDF]

PLoS One
Alipoor R, Aghayani E.
europepmc   +1 more source

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

Deep 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, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source