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RESERVOIR CHARACTERIZATION AND MODELING OF A CRETACEOUS TRIPLE POROSITY CARBONATE RESERVOIR CONTRIBUTION OF PORE TYPES TO HYDROCARBON PORE VOLUME AND PRODUCTION, CAMPECHE SOUND, GULF OF MEXICO
(2019-05-10)
Campeche Sound, located southeast of the continental shelf in the Gulf of Mexico. represents about 80% of the national hydrocarbons production of Mexico, and comprises several giant oilfields, including Cantarell and ...
A simulation and analytical study on the performance of gas-liquid centrifugal downhole separators
(2023-12-15)
A common issue in depleted oil and gas wells is the lack of energy to drive the fluids to the surface. Engineers use various artificial lift systems to solve this problem, most commonly by using pumps. Many pump types do ...
Reinforcement Learning for Cognitive Phased Array Radar Surveillance
(2023-05-12)
The proliferation of phased array radar (PAR) has significantly increased the flexibility of radar systems, making it possible to use a single radar to perform a variety of operational modes such as surveillance and tracking ...
RWIS based road condition prediction using machine learning algorithms
(2021-06-26)
The need for a forecasting model of road conditions is becoming evermore critical, given the effects of ever-increasing severity in weather. Drastic changes in weather, especially cold fronts, often lead to dangerous roads. ...
SINGLE CELL METABOLOMICS USING MASS SPECTROMETRY: DEVICES, METHODS AND APPLICATIONS
(2019-05-10)
Cells are basic functional components of eukaryotic organisms containing rich biological and physiological information. To investigate the nature of cells, a variety of fundamental and mechanistic studies of the cell ...
Video Outpainting using Conditional Generative Adverarial Networks
(2021)
Recent advancements in machine learning and neural networks have pushed the boundaries of what computers can achieve. Generative adversarial networks are a specific type of neural network that have proved wildly successful ...
NURTURING PROMOTES THE EVOLUTION OF LEARNING IN CHANGING ENVIRONMENTS
(2015-08-14)
An agent may interact with its environment and learn complex tasks based on evaluative
feedback through a process known as reinforcement learning. Reinforcement
learning requires exploration of unfamiliar situations, ...
FRAC HIT ANALYSIS IN SHALES: WOODFORD, MERAMEC AND WOLFCAMP FORMATIONS
(2020-07)
Frac hit was initially coined to refer to the phenomenon when an infill well fracture interacts with the adjacent well during the hydraulic fracturing process. But, over the years, its use has been extended to any type of ...
Traffic accident analysis and prediction using the NPMRDS
(2020-12)
Traffic accidents are incidents caused by collisions between road vehicles or a vehicle with road infrastructures or pedestrians. Traffic accidents are a common cause for non-recurring traffic bottlenecks that, in turn, ...
Scaling up Labeling, Mining, and Inferencing on Event Extraction
(2022-05)
Numerous important events happen every day and are reported in different media sources with varying narrative styles across different knowledge domains and languages. Detecting the real-world events that have been reported ...