STUDY OF THE APPLICATION OF WERNER DECONVOLUTION METHOD ON SYNTHETIC MODELS OF GRAVITY DATA TO IDENTIFY SUBSURFACE STRUCTURES AND ANOMALY BODIES

• Main Author: Mursyid, Arif
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/81109
• Institution: Institut Teknologi Bandung

Gravity methods can be used to identify structures and model subsurface geological conditions. One method that can help the gravity modeling process regarding estimating the depth and position of anomaly sources is Werner Deconvolution. In this research, a study was carried out on the application of the Werner Deconvolution method to several synthetic models to better understand the limitations and advantages of this method and the influence of several related parameters in determining the depth and position of synthetic anomaly sources. It is hoped that the evaluation results from the study can become a reference for implementing more optimal Werner Deconvolution on field data. Synthetic model testing was carried out on 5 (five) synthetic models in the form of one dike, two dikes separated horizontally, two bodies separated vertically, thick body, and structure and applied 6 parameters, namely Maximum Window Length, Minimum Window Length, Window Shift Increment, Window Expansion Increment, Detrend Order, and X Cut-off. Based on the results of testing the synthetic data, parameters can be identified that can show the position and depth in accordance with the synthetic structural model, namely Window Length with a value of 5000 m, Window Shift and Expansion Increment with a value of 0 m, Detrend Order with a value of 2, and X Cut- off with a value of 10%. The results obtained from the Werner Deconvolution solution succeeded in showing the existence of position and depth in simple body models and contact boundaries in structural models, but were unable to detect depth variations in bodies that were separated vertically and bodies that were too close horizontally. This is indicated by the conformity with the position of the clustered solutions. In addition, the plot of the first vertical derivative and second horizontal derivative plot has helped in convincing the interpretation of the synthetic structural model.