Interpretation of gravity data to delineate underground structure in the Gonghe geothermal field, China

2017 ◽  
Author(s):  
Rongqin He ◽  
Zhaofa Zeng ◽  
Xueyu Zhao* ◽  
Wei Du ◽  
Zhijun Huo ◽  
...  
2021 ◽  
Author(s):  
Ali ELMAS ◽  
Ali Erden BABACAN

Abstract Geothermal is one of the important energy sources because it is renewable energy and does not have any significant damage to the environment. The western Anatolian part of Turkey has a high potential in terms of geothermal energy. The study area, which is thought to have geothermal characteristics, is close to Afyonkarahisar province in Turkey. In this study, gravity data with horizontal gradient magnitude (HGM) and tilt angle map (TAM) techniques, and electric resistivity data with vertical electric sounding (VES) technique are used for the reveal of underground structure and location of hot water regions. Thus, locations with excess geothermal energy can be identified and locations of potential hot water areas can be determined. The possible hot areas are characterized with high density contrast and low resistivity values. According to the calculations made, the depth of the target mass for the geothermal source starts from approximately 300 m and continues up to 1100 m. More reliable and accurate results can be obtained by holistic interpretation of gravity and electrical resistivity methods in a geothermal field.


2019 ◽  
Vol 1217 ◽  
pp. 012042
Author(s):  
T Meilasandi ◽  
A Sugianto ◽  
R D Indriana ◽  
U Harmoko

Geophysics ◽  
2016 ◽  
Vol 81 (4) ◽  
pp. ID59-ID71 ◽  
Author(s):  
Kyle Basler-Reeder ◽  
John Louie ◽  
Satish Pullammanappallil ◽  
Graham Kent

Joint seismic and gravity analyses of the San Emidio geothermal field in the northwest Basin and Range province of Nevada demonstrate that joint optimization changes interpretation outcomes. The prior 0.3–0.5 km deep basin interpretation gives way to a deeper than 1.3 km basin model. Kirchoff prestack depth migrations reveal that joint optimization ameliorates shallow velocity artifacts, flattening antiformal reflectors that could have been interpreted as folds. Furthermore, joint optimization provides a clearer picture of the rangefront fault by increasing the depth of constrained velocities, which improves reflector coherency at depth. This technique provides new insight when applied to existing data sets and could replace the existing strategy of forward modeling to match gravity data. We have achieved stable joint optimization through simulated annealing, a global optimization algorithm that does not require an accurate initial model. Balancing the combined seismic-gravity objective function is accomplished by a new approach based on analysis of Pareto charts. Gravity modeling uses an efficient convolution model, and the basis of seismic modeling is the highly efficient Vidale eikonal equation traveltime generation technique. Synthetic tests found that joint optimization improves velocity model accuracy and provides velocity control below the deepest headwave raypath. Restricted offset-range migration analysis provides insights into precritical and gradient reflections in the data set.


2011 ◽  
Vol 60 (2) ◽  
pp. 318-336 ◽  
Author(s):  
Hakim Saibi ◽  
Essam Aboud ◽  
Sachio Ehara

Geothermics ◽  
2021 ◽  
Vol 94 ◽  
pp. 102093
Author(s):  
Bekele Dejene Mulugeta ◽  
Yasuhiro Fujimitsu ◽  
Jun Nishijima ◽  
Hakim Saibi

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