A Review of the 2014 Gulf of Mexico Wave Glider® Field Program

2015 ◽  
Vol 49 (3) ◽  
pp. 64-71 ◽  
Author(s):  
Patrick J. Fitzpatrick ◽  
Yee Lau ◽  
Robert Moorhead ◽  
Adam Skarke ◽  
Daniel Merritt ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Real Time ◽  
Absolute Error ◽  
Lessons Learned ◽  
Environmental Data ◽  
Ocean Current ◽  
Tropical Cyclone Genesis ◽  
Current Profile ◽  
National Data ◽  
Wave Glider

AbstractSustained observations of oceanographic and atmospheric boundary layer conditions are imperative for the investigation of tropical cyclone genesis, for numerical model input to predict track and intensity, and in general, for many environmental monitoring needs. We present preliminary results of a Fall 2014 100-day deployment of Wave Glider platforms in the eastern Gulf of Mexico designed to dynamically collect surface weather, water temperature, wave, and ocean current profile data within tropical cyclones. Data were collected and retransmitted near real time through a Liquid Robotics interface to regional and national data portals such as the National Data Buoy Center, and secondarily also used by the private sector. Accomplishments include buoy loitering for validation exercises, data gap filling, platform redeployments, and an interception of the fringes of Tropical Storm Hanna. Preliminary buoy loitering assessments using bias and absolute error metrics showed reasonable agreement with buoys for atmospheric pressure, wave, and height-adjusted wind data but that the temperature hardware requires an improved sensor. A full assessment of the potential for the sustained collection and real-time dissemination of environmental data for Wave Glider platforms is presented including lessons learned.

Pushing the Limits in Offshore Mexico

2021 ◽  
Author(s):  
Hector Hugo Vizcarra Marin ◽  
Alex Ngan ◽  
Roberto Pineda ◽  
Juan Carlos Gomez ◽  
Jose Antonio Becerra
Keyword(s):  
Gulf Of Mexico ◽  
Real Time ◽  
Lessons Learned ◽  
Clear Understanding ◽  
Directional Drilling ◽  
Case Histories ◽  
Control Plan ◽  
Drilling Performance ◽  
Drilling Parameters ◽  
Drilling Engineering

Abstract Given the increased demands on the production of hydrocarbons and cost-effectiveness for the Operator's development wells, the industry is challenged to continually explore new technology and methodology to improve drilling performance and operational efficiency. In this paper, two recent case histories showcase the technology, drilling engineering, and real-time optimization that resulted in record drilling times. The wells are located on shallow water in the Gulf of Mexico, with numerous drilling challenges, which typically resulted in significant Non-Productive Time (NPT). Through close collaboration with the Operator, early planning with a clear understanding of offset wells challenges, well plan that minimize drilling in the Upper Cretaceous "Brecha" Formation were formulated. The well plan was also designed to reduce the risk of stuck pipe while meeting the requirements to penetrate the geological targets laterally to increase the area of contact in the reservoir section. This project encapsulates the successful application of the latest Push-the-Bit Rotary Steerable System (RSS) with borehole enlargement technology through a proven drilling engineering process to optimize the drilling bottomhole assembly, bit selection, drilling parameters, and real-time monitoring & optimization The records drilling times in the two case histories can be replicated and further improved. A list of lessons learned and recommendations for the future wells are discussed. These include the well trajectory planning, directional drilling BHA optimization, directional control plan, drilling parameters to optimize hole cleaning, and downhole shocks & vibrations management during drilling and underreaming operation to increase the drilling performance ultimately. Also, it includes a proposed drilling blueprint to continually push the limit of incremental drilling performance through the use of RSS with hydraulics drilling reamers through the Jurassic-age formations in shallow waters, Gulf of Mexico.

Design and Development of a Drifting Buoy for Gathering Environmental Data

2014 ◽  
Vol 651-653 ◽  
pp. 417-421
Author(s):  
Xin Jun Gan ◽  
Yong Hua Chen ◽  
Yong Ping Xu ◽  
Tao Zuo Ni ◽  
Jing Bo Jiang ◽  
...  
Keyword(s):  
Real Time ◽  
Prediction Models ◽  
Water Mass ◽  
Environmental Data ◽  
Ocean Current ◽  
Station Network ◽  
Ground Station ◽  
Drifting Buoy ◽  
Main Components ◽  
Current Drift

Operational meteorologists and Oceanographers rely on real-time environmental data to run their numerical prediction models, even carry on the research. The ground station network is dense and the data of good quality, but there is not enough environmental data from the oceans, particularly in data-sparse areas not covered by commercial ships reporting environmental data. A drifting ocean buoy is described. The drifter consists of three main components: a surface float, a tether assembly and a dimensionally-stable drogue. It utilizes a drag structure which follows the water mass of the ocean as it flows in the form of the ocean current, and which also has an aerodynamically shaped low wind drag mast to minimize wind induced errors in ocean current drift measurements; the drag structure also being stable and resistant to heaving (pitch and roll) so as to maintain a mast carried antenna above the water even at high sea states.

The Gulf of Mexico Coastal Ocean Observing System: An Integrated Approach to Building an Operational Regional Observing System

2013 ◽  
Vol 47 (1) ◽  
pp. 118-133 ◽  
Author(s):  
Ann E. Jochens ◽  
Stephanie M. Watson
Keyword(s):  
Gulf Of Mexico ◽  
Real Time ◽  
Algal Blooms ◽  
Oil And Gas ◽  
Integrated Approach ◽  
The United States ◽  
Lessons Learned ◽  
Address Data ◽  
Wide Range ◽  
Ocean Observing

Abstract The Gulf of Mexico is one of the most important ecologic and economic resources in the United States. To help protect this resource and to support a wide range of decision-making, the Gulf of Mexico Ocean Observing System (GCOOS) is being built to be a sustained network that provides integrated coastal and ocean data from a diverse array of data sources in real time, near real time, and historically. GCOOS is 1 of the 11 regional components of the U.S. Integrated Ocean Observing System (U.S. IOOS). Because of the very limited resources available to date, the GCOOS Regional Association (GCOOS-RA), which is working to build the GCOOS, has not deployed any of its own observing systems. That, coupled with strong volunteer participation, has led the GCOOS-RA to focus its efforts on integrating existing federal and non-federal (regional, state, local, academic, and private) assets and data. The GCOOS-RA is working to adapt and expand the GCOOS to address data gaps identified by stakeholders and to apply the lessons learned from events such as the Deepwater Horizon (DWH) oil spill, harmful algal blooms (HABs), Gulf hurricanes, and hypoxia. The contributions of GCOOS demonstrate the value of a sustained U.S. IOOS and provide specific lessons necessary for the successful build-out of the system in the Gulf of Mexico. However, the lessons also demonstrate the importance of applying additional resources to improve GCOOS’ ability to meet stakeholder needs such as in response to environmental events. A full, comprehensive GCOOS, exclusive of federal assets, is estimated to cost roughly $22 M for capital and $20-25 M/year for operation and maintenance (O&M) in the near term with approximately an additional $25 M in capital to complete the build-out and $35-50 M/year in O&M costs to maintain the system—an excellent value when compared to the billions of dollars of economic impact of four major industries in the Gulf of Mexico: oil and gas, tourism and recreation, fishing, and shipping.

Exploration of real-time satellite measurements to advance hurricane intensity prediction in the northern Gulf of Mexico

OCEANS 2009 ◽  
2009 ◽  
Author(s):  
Nan Walker ◽  
Robert Leben ◽  
Steven Anderson ◽  
Alaric Haag ◽  
Chet Pilley ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Real Time ◽  
Satellite Measurements ◽  
Hurricane Intensity ◽  
Northern Gulf Of Mexico ◽  
Intensity Prediction

scholarly journals Role of Laboratory Medicine in SARS-CoV-2 Diagnostics. Lessons Learned from a Pandemic

Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 915
Author(s):  
Irena Duś-Ilnicka ◽  
Aleksander Szymczak ◽  
Małgorzata Małodobra-Mazur ◽  
Miron Tokarski
Keyword(s):  
Molecular Biology ◽  
Real Time ◽  
Real Time Pcr ◽  
Laboratory Medicine ◽  
Lessons Learned ◽  
Diagnostic Methods ◽  
Medical Community ◽  
Medical Diagnostic ◽  
Novel Coronavirus ◽  
Available Information

Since the 2019 novel coronavirus outbreak began in Wuhan, China, diagnostic methods in the field of molecular biology have been developing faster than ever under the vigilant eye of world’s research community. Unfortunately, the medical community was not prepared for testing such large volumes or ranges of biological materials, whether blood samples for antibody immunological testing, or salivary/swab samples for real-time PCR. For this reason, many medical diagnostic laboratories have made the switch to working in the field of molecular biology, and research undertaken to speed up the flow of samples through laboratory. The aim of this narrative review is to evaluate the current literature on laboratory techniques for the diagnosis of SARS-CoV-2 infection available on pubmed.gov, Google Scholar, and according to the writers’ knowledge and experience of the laboratory medicine. It assesses the available information in the field of molecular biology by comparing real-time PCR, LAMP technique, RNA sequencing, and immunological diagnostics, and examines the newest techniques along with their limitations for use in SARS-CoV-2 diagnostics.

Forecasting Model of Short-Term Traffic Flow Based on Cloud Model

2011 ◽  
Vol 94-96 ◽  
pp. 38-42
Author(s):  
Qin Liu ◽  
Jian Min Xu
Keyword(s):  
Real Time ◽  
Traffic Flow ◽  
Cloud Model ◽  
Prediction Method ◽  
Absolute Error ◽  
Short Term ◽  
Guangzhou City ◽  
Time Prediction ◽  
Real Time Traffic ◽  
Absolute Percent Error

In order to improve the prediction precision of the short-term traffic flow, a prediction method of short-term traffic flow based on cloud model was proposed. The traffic flow was fit by cloud model. The history cloud and the present cloud were built by historical traffic flow and present traffic flow. The forecast cloud is produced by both clouds. Then, combining with the volume of the short-term traffic flow of an intersection in Guangzhou City, the model was calculated and simulated through programming. Max Absolute Error (MAE) and Mean Absolute percent Error (MAPE) were used to estimate the effect of prediction. The simulation results indicate that this prediction method is effective and advanced. The change of the historical and real time traffic flow is taken into account in this method. Because the short-term traffic flow is dealt with as a whole, the error of prediction is avoided. The prediction precision and real-time prediction are satisfied.

A LOW-COST MULTIHOP WIRELESS SENSOR NETWORK, ENABLING REAL-TIME MANAGEMENT OF ENVIRONMENTAL DATA FOR THE GREENHOUSE AND NURSERY INDUSTRY

2008 ◽  
pp. 523-530 ◽  
Author(s):  
J.D. Lea-Cox ◽  
A.G. Ristvey ◽  
F. Arguedas Rodriguez ◽  
D.S. Ross ◽  
J. Anhalt ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Time Management ◽  
Low Cost ◽  
Environmental Data ◽  
Wireless Sensor ◽  
Multihop Wireless
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