2021
DOI: 10.1016/j.geothermics.2021.102129
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Stochastic inversion of gravity, magnetic, tracer, lithology, and fault data for geologically realistic structural models: Patua Geothermal Field case study

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Cited by 8 publications
(3 citation statements)
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“…Data acquisition was carried out at twenty locations, with a distance of about 200 m between each point, forming a straight line. Firstly, the raw magnetic data were corrected according to the International Geomagnetic Reference Field (IGRF), yielding the total magnetic field anomaly [14][15][16]. This was used to obtain a reduction to the pole and upward continuation anomaly map.…”
Section: Methodsmentioning
confidence: 99%
“…Data acquisition was carried out at twenty locations, with a distance of about 200 m between each point, forming a straight line. Firstly, the raw magnetic data were corrected according to the International Geomagnetic Reference Field (IGRF), yielding the total magnetic field anomaly [14][15][16]. This was used to obtain a reduction to the pole and upward continuation anomaly map.…”
Section: Methodsmentioning
confidence: 99%
“…While Noddy was initially meant for creating simple models for teaching purposes, it has also been used for studying concepts such as geological topology (Thiele et al, 2016), and machine learning techniques (Guo et al, 2021). In addition, it has been used for geophysical inversion (Pollack et al, 2020).…”
Section: Kinematic Modelingmentioning
confidence: 99%
“…Selecting appropriate tracer is crucial for achieving satisfactory tracer test results. As there are many types of tracers with different functions and properties (Table 2), the selection of tracers is influenced by different thermal reservoir lithology (Liu, 2019;Ren et al 2023;Pollack et al 2021). For example, tracers with acidic aqueous solution should be avoided for carbonate thermal reservoir, while granite thermal reservoirs are prone to reacting with alkaline tracer due to their higher SiO 2 content.…”
Section: Field Testmentioning
confidence: 99%