UNDERSTANDING THE CONSTRAINTS TO THE CORRECT APPLICATION OF TILT DERIVATIVE OPERATION IN GRAVITY DATA PROCESSING (Record no. 7395)

000 -LEADER
fixed length control field 02019nam a22001457a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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100 ## - MAIN ENTRY--AUTHOR
Author BILESANMI OBAFEMI EYITAYO
245 ## - TITLE STATEMENT
Title UNDERSTANDING THE CONSTRAINTS TO THE CORRECT APPLICATION OF TILT DERIVATIVE OPERATION IN GRAVITY DATA PROCESSING
250 ## - SUPERVISOR
Supervisor DR. O. B. BALOGUN
260 ## - IMPRINT
Place of publication Mountain Top University
Department (College) GEOSCIENCES
Date of publication August,2023.
300 ## - COLLATION
Pagination 80p.
520 ## - SUMMARY, ETC.
Summary, etc Analytical simulation of a buried 3D square prism with known density contrast, depth to the top of the buried body, thickness and cross-section area has been done, and tilt derivative enhancement operation has been applied to the data in order to establish the constraints that could impede the correct application of tilt derivative operation on gravity data. From the tilt derivative map <br/>generated for the data, the distances between contours “-45o to +45o ” and “-30o to +30o ” were used to estimate the depth to the bottom and top of the prism respectively. Where the depth estimates differ significantly from the depth values used for the simulation, the grid size was varied until depth values that were in good agreement with the simulated depths were gotten. By revealing that estimated depth values from the tilt derivative operation will not be accurate when the simulated depth to the top or bottom of the buried body is too small or large compared with the grid size, the results enshrined the importance of optimum grid size on the accuracy of the result. The optimum grid size for the research was found to be between 6.6 and 10 times the depth of burial. The research concluded based on the analytical simulation that depth results obtained from the tilt derivative <br/>analysis of gravity data is only accurate when the grid size of data sample is between 6.6 and 10 times the depth of burial of the target, and that the best result was obtained when the grid size of data sample is about 7.5 times the depth of burial
650 ## - TRACINGS
Main Subject GEOPHYSICS
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Students Thesis
Holdings
Source of classification or shelving scheme Not for loan Permanent location Current location Date acquired Accen. No. Koha item type
    Main Library Main Library 24.10.2023 19010401010 Students Thesis

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