Saba Moradalivand Articles List

List of Articles Saba Moradalivand

Open Access Article
- Abstract Page
- Full-Text
1 - Identification of Takab geothermal system reservoir by using gravity method
Mohammad Mohammadzadeh Moghaddam Javad Nouraliee Soheil Porkhial لیلا ابراهیمی Saba Moradalivand

The presence of hot springs, travertine outcrops, hydrothermal altered area and active tectonic in the north-east of Takab city in the West Azarbayjan province indicate that there is a geothermal system in the area. In order to characterize the geological structures ass More

The presence of hot springs, travertine outcrops, hydrothermal altered area and active tectonic in the north-east of Takab city in the West Azarbayjan province indicate that there is a geothermal system in the area. In order to characterize the geological structures associated to the geothermal system in the region, a gravity survey was carried out in 140 stations which covered an area about 600 km2. Necessary modifications such as Bouguer, topography and free air were applied over data to obtain complete Bouguer anomaly field. Then, residual gravity anomaly field was calculated by subtracting the regional gravity field from complete Bouguer field. The regional gravity field was calculated by fitting a three-order polynomials surface over the complete Bouguer field. The calculated residual gravity map shows two negative anomaly zones (A1 and A2) in the study area. In geothermal exploration, negative gravity anomalies are considered as probable reservoir of geothermal systems. The horizontal and vertical derivative maps show complicated fracture zones in the study area. To obtain more information, the depth estimation carried out using Euler method. Estimated depth for the top of negative anomaly source in zone 1 is between 1000 and 2000 m. Finally, 3D inversion of the data was performed using Li and Oldenburg algorithm to show an image of the reservoir in the depth. The results of 3D inversion show a significant negative density contrast that occurred only in zone 1. Therefore, the reservoir of the Takab geothermal system is located in the depths between 3000 and 5000 m in A1 anomaly zone. Manuscript profile
Open Access Article
- Abstract Page
- Full-Text
2 - Interpretation of aeromagnetic data for detection of magnetic basement and concealed faults in Basiran area, south of khorasan
Mohammad Mohammadzadeh GholamAbbas Fanaee Kheirabad Saba Moradalivand mahbobe abedisamakosh

Basiran area in the south of Birjand city is well-known for its important mineral potential and is located in the volcanic region of eastern Iran. . In 2005, the geological survey of Iran (GSI) conducted a high resolution airborne magnetic survey over the area about 850 More

Basiran area in the south of Birjand city is well-known for its important mineral potential and is located in the volcanic region of eastern Iran. . In 2005, the geological survey of Iran (GSI) conducted a high resolution airborne magnetic survey over the area about 850 km2 to create a suitable geospatial database for further explorations and investigations. Aeromagnetic survey is an effective tool for magnetic basement mapping and detecting concealed magnetic lineaments in a volcanic area. This work focuses on two main subjects using aeromagnetic data: (1) depth estimation of sediment sequences (i.e. depth to the magnetic basement), and (2) extracting magnetic lineaments. Necessary corrections such as diurnal, compensation, lag and IGRF applied over the raw aeromagnetic data to generate residual magnetic intensity data. Then, required filters were sequentially applied. They were reduced-to-pole (RTP), upward continuation (UP), Euler and Werner deconvolutions and Tilt derivation (TDR). To estimate the thickness of sedimentary sequences, a combination of depth estimators that were the Euler and Werner were utilized. Consequently, the outputs showed thick volcanic (magnetic basement) outcrops in some portions, and the thick sedimentary sequences that extended from a depth of a few meters to 1200 meters. Magnetic lineament in the form of magnetic fabric and fault were detected by tilt derivation method, in which positive and negative peaks in TDR map were in association with a magnetic fabric in the area. Meanwhile, magnetic fabrics showed small linear magnetic traces which were used for recognition of linear structural pattern. In addition, magnetic faults were detected through implementation of a collection of filters namely TDR of RTP_UP of 50, 200, 500 and 1000 meters. Note that, minor magnetic faults (order 1) were only detectable in the low level TDR_UP, but major ones were detectable in the high level of TDR_UP. This work emphasizes the important role of the magnetic data processing to better understand the relation between magnetic anomalies and the subsurface geology. Totally, more than 20 first and second order faults were identified and mapped Manuscript profile

Current Issue

Published Issues

Menu

Browse

List of Articles Saba Moradalivand