Results 51 to 60 of about 2,424 (251)

Machine‐Learning‐Guided Discovery of Boron‐Free Narrowband Blue Thermally Activated Delayed Fluorescence Emitters

open access: yesAngewandte Chemie, EarlyView.
A data‐driven discovery engine—exhaustive enumeration of carbazole‐containing polycyclic aromatic hydrocarbons (Cz‐PAHs) followed by machine learning—identifies boron‐free, narrowband blue thermally activated delayed fluorescence emitters for organic light‐emitting diodes (OLEDs).
Masaya Hagai   +6 more
wiley   +1 more source

Study on Drill String Stick-slip Vibration Pattern Under Bit-Rock Interaction

open access: yesShiyou jixie, 2023
Stick-slip vibration leads to high-frequency shear stress on drill string and premature fatigue of drill string.Therefor,the torsional vibration model of drill string system considering bit-rock interaction was built by coupling the bit-rock interaction ...
Xing Xuesong   +4 more
doaj  

String Figuring young children's perspectives of quality in English early childhood education and care

open access: yesBritish Educational Research Journal, EarlyView.
Abstract Quality in early childhood education and care (ECEC) is a contested concept and has generally been conceptualised by inter‐related indicators such as staff qualifications, educational environment, policy or child‐to‐staff ratios. There has been a more limited emphasis on how young children might perceive and experience quality.
Nikki Fairchild, Éva Mikuska
wiley   +1 more source

Cooperative learning strategies to raise attainment in mathematics with pupils aged 11–16 years: A systematic literature review

open access: yesBritish Educational Research Journal, EarlyView.
Abstract Cooperative learning is a widely adopted teaching method to improve academic achievement. This review synthesises existing research on the use of cooperative learning within a school setting for pupils aged 11–16 years. Such a review has not been undertaken to date and will present an evidence base for educators considering implementation ...
Patricia Hampson   +2 more
wiley   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

open access: yesDeep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li   +7 more
wiley   +1 more source

A Review of the Evaluation, Control, and Application Technologies for Drill String Vibrations and Shocks in Oil and Gas Well

open access: yesShock and Vibration, 2016
Drill string vibrations and shocks (V&S) can limit the optimization of drilling performance, which is a key problem for trajectory optimizing, wellbore design, increasing drill tools life, rate of penetration, and intelligent drilling.
Guangjian Dong, Ping Chen
doaj   +1 more source

Drill string gas data [PDF]

open access: yes, 1998
Data and supporting documentation were compiled and analyzed for 26 cases of gas grab samples taken during waste-tank core sampling activities between September 1, 1995 and December 31, 1997. These cases were tested against specific criteria to reduce uncertainties associated with in-tank sampling location and conditions.
openaire   +2 more sources

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

open access: yesDeep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao   +5 more
wiley   +1 more source

Stress Analysis on Drilling String Vibration in Gas Drilling

open access: yesEnergy Procedia, 2012
AbstractUsing the finite element method, attempting to solve the serious drilling tools failure in gas drilling, this paper modelled the transient response of string vibration, and worked out the distribution regularity of the transient stress at two different drilling states: gas and mud drilling.
Jianhong, Fu   +6 more
openaire   +1 more source

TAMNet: Temporal and adaptive‐frequency network with MixStyle for cross‐region oil and fluid production forecasting

open access: yesDeep Underground Science and Engineering, EarlyView.
This paper presents temporal and adaptive‐frequency network with MixStyle (TAMNet), a deep time‐series modeling framework for accurate and robust multi‐well oil productivity forecasting. TAMNet integrates transformer and long short‐term memory architectures to capture both short‐ and long‐term temporal dependencies, enhanced by a temporal gate unit ...
Chunxi Yang   +6 more
wiley   +1 more source

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