Deepwater Horizon oil spill, largest marine oil spill in history, caused by an April 20, 2010, explosion on the Deepwater Horizon oil rig—located in the Gulf of Mexico, approximately 41 miles (66 km) off the coast of Louisiana—and its subsequent sinkin
Deepwater Horizon Is Explosive In April of 2010, an offshore drilling rig named Deepwater Horizon exploded resulting in the worst oil spill in U. S. History. If you've read my previous reviews about Eddie the Eagle, Steve Jobs, The Big Short and Spotlight, you know that it's easy to...
Exploratory Study of Deepwater Currents in the Gulf of Mexico, Volume 1: Executive Summary Executive summary of a four year project to study deepwater currents in the Western Gulf of Mexico. 被引量: 0发表: 2006年 Cetaceans, Sea Turtles and Seabirds in the Northern Gulf of Mexico: ...
A summary of thePresident’s Commission Reportas to what happened and lessons learned is provided later in this chapter. View chapterExplore book Major Offshore Events IanSutton, inOffshore Safety Management (Second Edition), 2014 Deepwater Horizon/Macondo(2010) ...
There are no shortcut means (i.e., facies models) to interpreting deep-water processes. I am hopeful that this universal case study–based approach has the potential to minimize confusion and to enhance clarity on gravity-driven processes. View chapterExplore book New Perspectives on Deep-water...
S. deepwater port decision; development of criteria appropriate to the evaluation of engineering, economic and environmental aspects of deep port needs and policies, analysis of the development options available at this time and the critical issues surrounding each and the identification of critical ...
Lagrangian particle tracking experiments are conducted to investigate the pathways of deep water in the North Pacific Ocean. The flow field is taken from a state-of-the-art deep circulation simulation. An unprecedented number of particles are tracked to
In this study we investigate how climate change will directly influence the groundwater resources in Germany during the 21st century. We apply a machine learning groundwater level prediction approach based on convolutional neural networks to 118 sites well distributed over Germany to assess the ground...
The output parameter of interest was Water Saturation (SW). Through extensive analysis, it was discovered that deep/shallow machine learning (DL) algorithms, namely Gated Recurrent Unit (GRU), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Support Vector Machine (SVM), K-...
During animal development, embryos undergo complex morphological changes over time. Differences in developmental tempo between species are emerging as principal drivers of evolutionary novelty, but accurate description of these processes is very challeng