Results 21 to 30 of about 142,701 (255)

Transparent open-box learning network and artificial neural network predictions of bubble-point pressure compared

Petroleum, 2020
The transparent open box (TOB) learning network algorithm offers an alternative approach to the lack of transparency provided by most machine-learning algorithms.
David A. Wood, Abouzar Choubineh
doaj   +1 more source

The application of deep learning algorithms to classify subsurface drilling lost circulation severity in large oil field datasets

SN Applied Sciences, 2021
In this paper, we present how precise deep learning algorithms can distinguish loss circulation severities in oil drilling operations. Lost circulation is one of the costliest downhole problem encountered during oil and gas well construction.
Sajjad Mardanirad, David A. Wood, Hassan Zakeri   +2 more
doaj   +1 more source

Dissimilar Electrolyte Decouples Zn and MnO2 Redox Chemistry Enabling Dual‐Electrode‐Free Lean‐Electrolyte Batteries

Angewandte Chemie, EarlyView.
While dual‐electrode‐free Zn‐MnO2 batteries offer high voltage, intrinsic safety and simple manufacturing, their efficiency and stability are limited by incompatible Zn and MnO2 redox chemistries. This work introduces a dissimilar electrolyte architecture to decouple Zn and MnO2 reactions, endowing a dual‐electrode‐free and lean‐electrolyte Zn‐MnO2 ...
Xian Xie, Yunpeng Zhong, Faheem Mushtaq, Shuaifei Zhu, Weijun Zhou, Aiman Rahmanudin, Klas Tybrandt, Siyu Tian, Ruiqin Zhang, Nara Kim, Jiang Zhou, Walid A. Daoud   +11 more
wiley   +2 more sources

Improved DWA Method based on Jerk Model

Journal of the Robotics Society of Japan
Ziang Lin, Ryo Taguchi
exaly   +3 more sources

Path Planning of Deep-Sea Landing Vehicle Based on the Safety Energy-Dynamic Window Approach Algorithm

Journal of Marine Science and Engineering, 2023
To ensure the safety and energy efficiency of autonomous sampling operations for a deep-sea landing vehicle (DSLV), the Safety Energy-Dynamic Window Approach (SE-DWA) algorithm was proposed.
Zuodong Pan, Wei Guo, Hongming Sun, Yue Zhou, Yanjun Lan   +4 more
doaj   +1 more source

Enhanced application for FSRU recondensing equipment during periods of low or no gas send out to minimize LNG cargo losses

Petroleum, 2018
Most modern floating storage and regasification units (FSRU) are fitted with recondensing equipment that feed condensed boil-off gas (BOG) to the regasification unit in addition to a stream of liquefied natural gas (LNG) extracted from the cargo tanks ...
Maksym Kulitsa, David A. Wood
doaj   +1 more source

Pandemic Imposed Remote Work Arrangements and Resultant Work-Life Integration, Future of Work and Role of Leaders—A Qualitative Study of Indian Millennial Workers

Administrative Sciences, 2022
The unprecedented nature and scale of the COVID-19 pandemic resulted in mass lockdowns around the world, and millions of people were forced to work remotely for months, confined in their homes.
Debashish Sengupta, Dwa Al-Khalifa
doaj   +1 more source

The impacts of gas impurities on the minimum miscibility pressure of injected CO2-rich gas–crude oil systems and enhanced oil recovery potential

Petroleum Science, 2018
An effective parameter in the miscible-CO2 enhanced oil recovery procedure is the minimum miscibility pressure (MMP) defined as the lowest pressure that the oil in place and the injected gas into reservoir achieve miscibility at a given temperature. Flue
Abouzar Choubineh, Abbas Helalizadeh, David A. Wood   +2 more
doaj   +1 more source

Transparent machine learning provides insightful estimates of natural gas density based on pressure, temperature and compositional variables

Journal of Natural Gas Geoscience, 2020
Machine-learning algorithms are widely used to predict the physical properties of natural gas, but most techniques involve establishing correlations between the influencing variables.
David A. Wood, Abouzar Choubineh
doaj   +1 more source

Weeks-Ahead Epidemiological Predictions of Varicella Cases From Univariate Time Series Data Applying Artificial Intelligence

Infectious Diseases & Immunity
. Background. “Chickenpox” is a highly infectious disease caused by the varicella-zoster virus, influenced by seasonal and spatial factors. Dealing with varicella-zoster epidemics can be a substantial drain on health-authority resources.
David A. Wood, Haijuan Wang
doaj   +1 more source