Using High-Resolution MWD Survey Data in Mud Removal Simulations for Effective Cementing Program Design

2019 ◽  
Author(s):  
Leida Cristina Monterrosa ◽  
Chuang Hwee Tay ◽  
Jose Martin Salazar
Keyword(s):  
High Resolution ◽  
Survey Data ◽  
Program Design

scholarly journals High-resolution velocity analysis and program design based on Bootstrap algorithm

2019 ◽  
Vol 227 ◽  
pp. 042029
Author(s):  
Dechao Cai ◽  
Guifang Fa ◽  
Jia Li ◽  
Xing Xing ◽  
Yanjing Yi
Keyword(s):  
High Resolution ◽  
Program Design ◽  
Velocity Analysis ◽  
Bootstrap Algorithm

Surface Survey and Satellite Reconnaissance: Reconstructing the Urban Layout of Mashkan-Shapir

Iraq ◽  
2012 ◽  
Vol 74 ◽  
pp. 65-74
Author(s):  
Elizabeth C. Stone
Keyword(s):  
High Resolution ◽  
Survey Data ◽  
Satellite Imagery ◽  
Large City ◽  
City Wall ◽  
Recent Introduction ◽  
Surface Survey ◽  
High Resolution Satellite Imagery ◽  
The City

The recent introduction of irrigation around the site of Mashkan-shapir, together with the availability of high resolution satellite imagery, has resulted in the preservation of architectural traces which could not be recovered when the site was researched between 1987 and 1990. In spite of recent looting, these traces have allowed the identification of the location of the palace and the reconstruction of much of the street system of this city, including the connection points across the ancient canals. Moreover, the survey data recovered through past fieldwork can be related to these traces, allowing an understanding of the larger context for many of the activities at the site, especially burial and manufacturing. Together these data provide a detailed view of how an ancient Mesopotamian city was conceived—in this instance by Sin-iddinam, who transformed it from a small village to a large city by building the city wall.

scholarly journals Satellite-Derived Bathymetry for Improving Canadian Hydrographic Service Charts

2018 ◽  
Vol 7 (8) ◽  
pp. 306 ◽  
Author(s):  
René Chénier ◽  
Marc-André Faucher ◽  
Ryan Ahola
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Survey Data ◽  
Canadian Arctic ◽  
Synthetic Aperture ◽  
Advanced Technologies ◽  
Space Agency ◽  
Challenges And Opportunities ◽  
Optical Imagery ◽  
Remote Sensing Techniques

Approximately 1000 Canadian Hydrographic Service (CHS) charts cover Canada’s oceans and navigable waters. Many charts use information collected with techniques that predate the more advanced technologies available to Hydrographic Offices (HOs) today. Furthermore, gaps in survey data, particularly in the Canadian Arctic where only 6% of waters are surveyed to modern standards, are also problematic. Through a Canadian Space Agency (CSA) Government Related Initiatives Program (GRIP) project, CHS is exploring remote sensing techniques to assist with the improvement of Canadian navigational charts. Projects exploring optical/Synthetic Aperture Radar (SAR) shoreline extraction and change detection, as well as optical Satellite-Derived Bathymetry (SDB), are currently underway. This paper focuses on SDB extracted from high-resolution optical imagery, highlighting current results as well as the challenges and opportunities CHS will encounter when implementing SDB within its operational chart production process. SDB is of particular interest to CHS due to its ability to supplement depths derived from traditional hydrographic surveys. This is of great importance in shallow and/or remote Canadian waters where achieving wide-area depth coverage through traditional surveys is costly, time-consuming and a safety risk to survey operators. With an accuracy of around 1 m, SDB could be used by CHS to fill gaps in survey data and to provide valuable information in dynamic areas.

A labor and industry focus on education: using baseline survey data in program design

1987 ◽  
Vol 2 (1) ◽  
pp. 33-44 ◽  
Author(s):  
A.P. Schenck ◽  
R.P. Thomas ◽  
G.M. Hochbaum ◽  
L.S. Beliczky
Keyword(s):  
Survey Data ◽  
Program Design ◽  
Baseline Survey

Interpretation of a Hydrogeophysical Survey – Data from the High-Resolution SkyTEM System

2004 ◽  
Author(s):  
K.I. Sørensen ◽  
B. Sørensen ◽  
A.V. Christiansen ◽  
E. Auken
Keyword(s):  
High Resolution ◽  
Survey Data
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