Results 161 to 170 of about 319,882 (307)

Process and forces of tight-sandstone gas charging in the Shihezi formation (P₂x¹) Dongsheng gas field, northern Ordos Basin China. [PDF]

Sci Rep
Cao Q, He F, Zhang W, Ye J, Lu Y, Liu Y, Yu H, An C, Sun L.   +8 more
europepmc   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

Coupling between crustal uplift and magnetic demagnetization in the Tarim Basin. [PDF]

Sci Rep
Xu B, Zhao C, Zhang L, Yu P.
europepmc   +1 more source

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

Energy 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, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

Land Use and Land Cover Stability Across Protection Regimes in a Tropical River Basin. [PDF]

Environ Manage
Schmitz MH, Terribile LC, Cardoso VDN, Freitas-Oliveira R, Martins PTA.   +4 more
europepmc   +1 more source

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

Energy 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, Xi Xi, Kai Wang, Liang Wang, Yulin Li   +4 more
wiley   +1 more source

A "Salt-Paleowater Depth-Productivity" Triad Controlling Storage: An Integrated Framework of Organic-Matter Enrichment in Qingshankou Shales, Qian'an, Songliao Basin. [PDF]

ACS Omega
Li T, Yao Q, Mo J, Shao S, Xu C, Zheng Y, Liu X.   +6 more
europepmc   +1 more source

Aloe vera in Food Preservation: Harnessing Bioactive Constituents for Clean‐Label Innovation and Safety Assurance

Food Safety and Health, EarlyView.
Aloe vera‐derived biopolymers and nanoformulations enhance antimicrobial, antioxidant, and barrier functions in clean‐label edible coatings and films, whereas safety‐critical anthraquinone thresholds and regulatory constraints shape their translational potential.
Acharya Balkrishna, Hemant Sharma, Sonam Verma, Amar Jeet, Sumit Kumar Singh, Sharad Kumar Tripathi, Vedpriya Arya   +6 more
wiley   +1 more source

Controls on water-carbon coupling shift from climate to vegetation structure in the Minjiang River Basin. [PDF]

Carbon Balance Manag
Lu G, Zhong Y, Liang Y, Yi Z, Shi Y, Tang Q, Liang Y.   +6 more
europepmc   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

Greenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira, Beatriz R. Almeida, Thiago R. C. Justino, Carlos A. S. Santos, Alex A. Santos, Fabiana Philipi   +5 more
wiley   +1 more source