GEOTHERMAL SYSTEM MODELLING BASED ON GRAVITY DATA OF NAGE GEOTHERMAL FIELD, EAST NUSA TENGGARA, INDONESIA
Energy plays an important role in the utilization of various human activities today. Energy needs in Indonesia and the world are increasing over time. To fulfill energy needs, potential resources are targeted by considerating environmental impacts as an effort to reduce carbon emissions. Currentl...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/67997 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Energy plays an important role in the utilization of various human activities today.
Energy needs in Indonesia and the world are increasing over time. To fulfill energy
needs, potential resources are targeted by considerating environmental impacts as
an effort to reduce carbon emissions. Currently, the government is targeting the
achievement of the energy mix of 23% of new and renewable energy in 2025 and
31% in 2050. To achieve this target, the use of geothermal energy as a potential
resource, exploration and exploitation of geothermal areas must be improved. The
Nage Geothermal Area in East Nusa Tenggara is one of the areas with geothermal
potential with a pattern of spreading volcanic activity on the island of Flores. This
study aims to determine the conceptual model of the geothermal system that
develops in the Nage geothermal field. This research was conducted based on
gravity observation data conducted by the Tim Survei Terpadu Panas Bumi Nage
in 2017 obtained from Pusat Sumber Daya Mineral Batubara dan Panas Bumi
(PSDMBP). The research was conducted to obtain the Complete Bouguer Anomaly
(CBA) value of the Nage geothermal field. The results obtained from CBA data
processing in the form of a Complete Bouguer Anomaly map with anomaly ranges
using the density obtained from laboratory research results the average density of
rocks is 2.51 gr/cm3. Then the regional and residual anomalies are separated using
the Moving average and Second Degree Polynomial methods, which the window
width is determined by performing a 1-D spectral analysis. The anomaly results
using the Moving average method shows that the high anomaly distribution is in
the middle, the low anomaly is in the north and south, and the low anomaly is in the
west and a small part of the north of the research map. Furthermore, 2.5D modeling
that passes through geothermal manifestations and zones of interest shows that high
anomaly values can be indicated as intrusive rock which may act as a heat source. |
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