APPLICATION OF REDUCE TO POLE, PSEUDOGRAVITY, AND WERNER DECONVOLUTION METHODS IN INTERPRETATION OF MAGNETIC DATA (STUDY CASE: PANDAN MOUNT EAST JAVA)
In field data acquisition, the results obtained are not always good, especially in geomagnetic data because the data produced are still in the form of dipoles so that magnetic anomalies are complex and their interpretation becomes relatively difficult. In addition, the depth of the anomaly body i...
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id-itb.:813282024-06-13T11:34:51ZAPPLICATION OF REDUCE TO POLE, PSEUDOGRAVITY, AND WERNER DECONVOLUTION METHODS IN INTERPRETATION OF MAGNETIC DATA (STUDY CASE: PANDAN MOUNT EAST JAVA) Rizky Ramadhan, Prayoga Indonesia Final Project Geomagnetic, Reduce to Pole, Pseudogravity, Werner Deconvolution. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/81328 In field data acquisition, the results obtained are not always good, especially in geomagnetic data because the data produced are still in the form of dipoles so that magnetic anomalies are complex and their interpretation becomes relatively difficult. In addition, the depth of the anomaly body is still unknown. Therefore, a method is needed that can change the nature of the anomaly from dipole to monopole and a method that serves to estimate the depth of the anomalous body. In this study, several methods were carried out, namely reduce to pole (RTP), and pseudogravity to change the nature of the anomaly from dipole to monopole and Werner deconvolution to determine the depth of the anomaly. The results of inclination variations show that at 90o inclination or monopole the anomaly is in its true position and the results of synthetic data analysis show that the advantages of the reduce to pole (RTP) and pseudogravity methods can help facilitate interpretation. The disadvantages of the reduce to pole (RTP) and pseudogravity methods are that when anomalies overlap, the anomaly pattern only looks like there is one anomaly. For the Werner deconvolution method, several parameter variations were made to determine the function and influence on the interpretation of the depth of the anomalous body. There are 5 parameters that are varied, namely Maximum Window Length, Minimum Window Length, Window Shift Increment, Window Expansion Increment, Detrend Order. From the variation of Werner deconvolution parameters, if the parameter number is too large or too small, it can affect the ambiguity in interpreting the depth of the anomalous body. In field data with low inclination angle (?31,319????) and low latitude (?7,3353????), it can be seen that all filters tend to be effectively used, but RTP tends to be better because it has the largest magnetic intensity contrast. Werner deconvolution detected anomalies in the range of 2250 meters to 3000 meters with an estimated depth between 0-400 meters. text |
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In field data acquisition, the results obtained are not always good, especially in
geomagnetic data because the data produced are still in the form of dipoles so that
magnetic anomalies are complex and their interpretation becomes relatively difficult. In
addition, the depth of the anomaly body is still unknown. Therefore, a method is needed
that can change the nature of the anomaly from dipole to monopole and a method that
serves to estimate the depth of the anomalous body. In this study, several methods were
carried out, namely reduce to pole (RTP), and pseudogravity to change the nature of the
anomaly from dipole to monopole and Werner deconvolution to determine the depth of
the anomaly. The results of inclination variations show that at 90o inclination or
monopole the anomaly is in its true position and the results of synthetic data analysis
show that the advantages of the reduce to pole (RTP) and pseudogravity methods can
help facilitate interpretation. The disadvantages of the reduce to pole (RTP) and
pseudogravity methods are that when anomalies overlap, the anomaly pattern only looks
like there is one anomaly. For the Werner deconvolution method, several parameter
variations were made to determine the function and influence on the interpretation of the
depth of the anomalous body. There are 5 parameters that are varied, namely Maximum
Window Length, Minimum Window Length, Window Shift Increment, Window Expansion
Increment, Detrend Order. From the variation of Werner deconvolution parameters, if the
parameter number is too large or too small, it can affect the ambiguity in interpreting the
depth of the anomalous body. In field data with low inclination angle (?31,319????) and
low latitude (?7,3353????), it can be seen that all filters tend to be effectively used, but RTP
tends to be better because it has the largest magnetic intensity contrast. Werner
deconvolution detected anomalies in the range of 2250 meters to 3000 meters with an
estimated depth between 0-400 meters. |
format |
Final Project |
author |
Rizky Ramadhan, Prayoga |
spellingShingle |
Rizky Ramadhan, Prayoga APPLICATION OF REDUCE TO POLE, PSEUDOGRAVITY, AND WERNER DECONVOLUTION METHODS IN INTERPRETATION OF MAGNETIC DATA (STUDY CASE: PANDAN MOUNT EAST JAVA) |
author_facet |
Rizky Ramadhan, Prayoga |
author_sort |
Rizky Ramadhan, Prayoga |
title |
APPLICATION OF REDUCE TO POLE, PSEUDOGRAVITY, AND WERNER DECONVOLUTION METHODS IN INTERPRETATION OF MAGNETIC DATA (STUDY CASE: PANDAN MOUNT EAST JAVA) |
title_short |
APPLICATION OF REDUCE TO POLE, PSEUDOGRAVITY, AND WERNER DECONVOLUTION METHODS IN INTERPRETATION OF MAGNETIC DATA (STUDY CASE: PANDAN MOUNT EAST JAVA) |
title_full |
APPLICATION OF REDUCE TO POLE, PSEUDOGRAVITY, AND WERNER DECONVOLUTION METHODS IN INTERPRETATION OF MAGNETIC DATA (STUDY CASE: PANDAN MOUNT EAST JAVA) |
title_fullStr |
APPLICATION OF REDUCE TO POLE, PSEUDOGRAVITY, AND WERNER DECONVOLUTION METHODS IN INTERPRETATION OF MAGNETIC DATA (STUDY CASE: PANDAN MOUNT EAST JAVA) |
title_full_unstemmed |
APPLICATION OF REDUCE TO POLE, PSEUDOGRAVITY, AND WERNER DECONVOLUTION METHODS IN INTERPRETATION OF MAGNETIC DATA (STUDY CASE: PANDAN MOUNT EAST JAVA) |
title_sort |
application of reduce to pole, pseudogravity, and werner deconvolution methods in interpretation of magnetic data (study case: pandan mount east java) |
url |
https://digilib.itb.ac.id/gdl/view/81328 |
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