Inversion of Moving-Base Gravity-Gradiometer Data for Geophysical Information

1983 ◽  
Author(s):  
Richard D. Brown
Keyword(s):  
Gravity Gradiometer ◽  
Moving Base ◽  
Geophysical Information

Gravity gradiometer survey errors

Geophysics ◽  
1988 ◽  
Vol 53 (10) ◽  
pp. 1355-1361 ◽  
Author(s):  
Steven J. Brzezowski ◽  
Warren G. Heller
Keyword(s):  
Total Error ◽  
Estimation Algorithm ◽  
Error Variance ◽  
Downward Continuation ◽  
Gravity Gradiometer ◽  
Limited Data ◽  
Gravity Disturbance ◽  
System Noise ◽  
Disturbance Vector ◽  
Moving Base

Gradiometer system noise, sampling effects, downward continuation, and limited data extent are the important contributors to moving‐base gravity gradiometer survey error. We apply a two‐dimensional frequency‐domain approach in simulations of several sets of airborne survey conditions to assess the significance of the first two sources. A special error allocation technique is used to account for the downward continuation and limited extent effects. These two sources cannot be modeled adequately as measurement noise in a linear error estimation algorithm. For a typical characterization of the Earth’s gravity field, our modeling indicates that limited data extent generally contributes about one‐half of the total error variance associated with recovery of the gravity disturbance vector at the Earth’s surface; gradiometer system noise typically contributes about one‐third. However, sampling effects are also very important (and are controlled through the survey track spacing). A 5 km track spacing provides a reasonable tradeoff between survey cost and errors due to track spacing. Furthermore, our results indicate that a moving‐base gravity gradiometer system can recover each component of the gravity disturbance vector with an rms accuracy better than 1.0 mGal.

scholarly journals Mathematic Model and Error Analysis of Moving-base Rotating Accelerometer Gravity Gradiometer

2021 ◽  
pp. 1-1
Author(s):  
Mingbiao Yu ◽  
Tijing Cai ◽  
Liangcheng Tu ◽  
Chenyuan Hu ◽  
Ji Fan ◽  
...  
Keyword(s):  
Error Analysis ◽  
Mathematic Model ◽  
Gravity Gradiometer ◽  
Moving Base

Prototype Moving Base Gravity Gradiometer

1973 ◽  
Author(s):  
Charles B. Ames ◽  
Robert L. Forward ◽  
Philip M. La Hue ◽  
Robert W. Peterson ◽  
David W. Rouse
Keyword(s):  
Gravity Gradiometer ◽  
Moving Base

Moving Base Gravity Gradiometer Survey (GGSS) Program

1988 ◽  
Author(s):  
Louis Pfohl ◽  
Walter Rusnak ◽  
Albert Jircitano ◽  
Andrew Grierson
Keyword(s):  
Gravity Gradiometer ◽  
Moving Base

Posterror Compensation of Moving-Base Rotating Accelerometer Gravity Gradiometer

2021 ◽  
Vol 70 ◽  
pp. 1-10
Author(s):  
Mingbiao Yu ◽  
Tijing Cai ◽  
Liangcheng Tu ◽  
Chenyuan Hu ◽  
Li Yu
Keyword(s):  
Gravity Gradiometer ◽  
Moving Base

Prototype Moving Base Rotating Gravity Gradiometer

1975 ◽  
Author(s):  
Charles B. Ames ◽  
Robert L. Forward ◽  
Philip M. LaHue ◽  
Larry R. Miller ◽  
Robert W. Peterson
Keyword(s):  
Gravity Gradiometer ◽  
Moving Base

A study of moving base simulation motion cues utilizing washout technique

1975 ◽  
Author(s):  
Mark Kirkpatrick ◽  
Nicholas Shields ◽  
Ronald Brye ◽  
Frank L. Vinz
Keyword(s):  
Motion Cues ◽  
Moving Base

REFINEMENT OF PALEOFACIAL MODEL OF BATHONIAN AGE DEPOSITS IN URNENSKOYE AND UST-TEGUSSKOYE LICENSE AREAS

2017 ◽  
pp. 10-16
Author(s):  
V. M. Aleksandrov ◽  
D. V. Korost ◽  
A. A. Ponomarev
Keyword(s):  
Complex Analysis ◽  
Geophysical Information

By results of the conducted complex analysis geological-geophysical information paleofacies model of the reservoir J2 refined within the Urnenskoye and Ust-Tegusskoye license areas. These sediments accumulated in tidal coast, complicated deltaic complex.

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