scholarly journals Using Sentinel-1 SAR data to detect earth surface changes related to neotectonics in the Focșani basin (Eastern Romania)

2018 ◽  
Author(s):  
Nicusor Necula ◽  
Mihai Niculita ◽  
Mario Floris
Keyword(s):  
Opposite Direction ◽  
Seismic Data ◽  
High Density ◽  
Earth Surface ◽  
Sar Images ◽  
Ground Deformations ◽  
Geological Surveys ◽  
Triggering Conditions ◽  
Potential Use ◽  
Surface Changes

Ground deformations are the result of interactions between terrain and various processes. Their identification and monitoring becomes an important step as they can provide insights about Earth’s dynamics or process triggering conditions. This paper aims to show the potential use of Sentinel-1 SAR images to identify ground deformations induced by neotectonics. Hence, we applied PS-InSAR stacking technique on Sentinel-1 ascending dataset in the area of Focșani basin, Eastern Romania. High density of PS obtained in populated areas allows the detection of tectonic fractures. They are characterized by blocks movement in opposite direction with 5-10 mm/year. Detection of geologic lineaments using free Sentinel-1 data presents a great advantage for future geological surveys which permits a better delineation of tectonic accidents, especially where seismic data are not available.

scholarly journals Using Sentinel-1 SAR data to detect earth surface changes related to neotectonics in the Focșani basin (Eastern Romania)

2018 ◽  
Author(s):  
Nicusor Necula ◽  
Mihai Niculita ◽  
Mario Floris
Keyword(s):  
Opposite Direction ◽  
Seismic Data ◽  
High Density ◽  
Earth Surface ◽  
Sar Images ◽  
Ground Deformations ◽  
Geological Surveys ◽  
Triggering Conditions ◽  
Potential Use ◽  
Surface Changes

Ground deformations are the result of interactions between terrain and various processes. Their identification and monitoring becomes an important step as they can provide insights about Earth’s dynamics or process triggering conditions. This paper aims to show the potential use of Sentinel-1 SAR images to identify ground deformations induced by neotectonics. Hence, we applied PS-InSAR stacking technique on Sentinel-1 ascending dataset in the area of Focșani basin, Eastern Romania. High density of PS obtained in populated areas allows the detection of tectonic fractures. They are characterized by blocks movement in opposite direction with 5-10 mm/year. Detection of geologic lineaments using free Sentinel-1 data presents a great advantage for future geological surveys which permits a better delineation of tectonic accidents, especially where seismic data are not available.

Ground motion detection in Central South Asturias (N Spain) by using Sentinel-1 SAR data

2021 ◽  
Author(s):  
Jose Cuervas-Mons ◽  
María José Domínguez-Cuesta ◽  
Félix Mateos-Redondo ◽  
Oriol Monserrat ◽  
Anna Barra
Keyword(s):  
Motion Detection ◽  
Mountainous Area ◽  
Geological Hazards ◽  
Aquifer Recharge ◽  
Velocity Range ◽  
Mountainous Areas ◽  
Sar Images ◽  
Ground Deformations ◽  
Slope Instabilities ◽  
Central South

<p>In this work, the A-DInSAR techniques are applied in a mountainous area located in the Central South of Asturias (N Spain), where there are significant landslide and subsidence phenomena. The main aim of this study is detecting and analysing ground deformations associated to slope instabilities and subsidence processes. For this, 113 SAR images, provided by Sentinel-1A/B between January 2018 and February 2020, were acquired and processed by means of PSIG software (developed by the Geomatics Division of the CTTC). The results show a velocity range between -18.4 and 10.0 mm/year, and minimum and maximum accumulated ground displacements of -35.0 and 17.5 mm. This study has made possible to differentiate local sectors with recent deformation related to landslide incidence, urban/mining subsidence, and land recuperation due to aquifer recharge. This work corroborates the reliability and usefulness of the A-DInSAR processing as a powerful tool in the study and analysis of geological hazards on regional and local scales using Sentinel-1 data collection, showing also the high difficulty of processing mountainous areas with few urban sectors.</p>

High-resolution seismic processing technique with broadband,wide-azimuth, and high-density seismic data - A case study of thin-sand reservoir in eastern China

2021 ◽  
pp. 1-45
Author(s):  
Qin Su ◽  
Huahui Zeng ◽  
Yancan Tian ◽  
HaiLiang Li ◽  
Lei Lyu ◽  
...  
Keyword(s):  
Seismic Data ◽  
Oil And Gas ◽  
Single Point ◽  
Eastern China ◽  
High Density ◽  
Songliao Basin ◽  
Seismic Processing ◽  
Oil And Gas Exploration ◽  
Sand Body

Seismic processing and interpretation techniques provide important tools for the oil and gas exploration of the Songliao Basin in eastern China, which is dominated by terrestrial facies. In the Songliao Basin, a large number of thin-sand reservoirs are widely distributed, which are the primary targets of potential oil and gas exploration and exploitation. An important job of the exploration in the Songliao Basin is to accurately describe the distribution of these thin-sand belts and the sand-body shapes. However, the thickness of these thin-sand reservoirs are generally below the resolution of the conventional seismic processing. Most of the reservoirs are thin-interbeds of sand and mudstones with strong vertical and lateral variations. This makes it difficult to accurately predict the vertical and horizontal distribution of the thin-sand bodies using the conventional seismic processing and interpretation methods. Additionally, these lithologic traps are difficult to identify due to the complex controlling factor and distribution characteristics, and strong concealment. These challenges motivate us to improve the seismic data quality to help delineate the thin-sand reservoirs. In this paper, we use the broadband, wide-azimuth, and high-density integrated seismic exploration technique to help delineate the thin-reservoirs. We first use field single-point excitation and single-point receiver acquisition to obtain seismic data with wide frequency-bands, wide-azimuth angles, and high folds, which contain rich geological information. Next, we perform the near-surface Q-compensation, viscoelastic prestack time migration, seismic attributes, and seismic waveform indication inversion on the new acquired seismic data. The 3D case study indicates the benefits of improving the imaging of thin-sand body and the accuracy of inversion and reservoir characterization using the method in this paper.

Using high-density OBC seismic data to optimize the Andrew satellites development

First Break ◽  
2010 ◽  
Vol 28 (1747) ◽  
Author(s):  
L. Padmos ◽  
D. Davies ◽  
M. Davies ◽  
J. McGarrity
Keyword(s):  
Seismic Data ◽  
High Density

scholarly journals Assessing the Performance of Methods for Monitoring Ice Phenology of the World’s Largest High Arctic Lake Using High-Density Time Series Analysis of Sentinel-1 Data

2020 ◽  
Vol 12 (3) ◽  
pp. 382 ◽  
Author(s):  
Justin Murfitt ◽  
Claude R. Duguay
Keyword(s):  
Time Series ◽  
Difference Method ◽  
Time Of Day ◽  
High Density ◽  
Average Error ◽  
Visual Interpretation ◽  
Lake Ice ◽  
Sar Images ◽  
Otsu Method ◽  
Ice Phenology

Lake ice is a dominant component of Canada’s landscape and can act as an indicator for how freshwater aquatic ecosystems are changing with warming climates. While lake ice monitoring through government networks has decreased in the last three decades, the increased availability of remote sensing images can help to provide consistent spatial and temporal coverage for areas with annual ice cover. Synthetic aperture radar (SAR) data are commonly used for lake ice monitoring, due to the acquisition of images in any condition (time of day or weather). Using Sentinel-1 A/B images, a high-density time series of SAR images was developed for Lake Hazen in Nunavut, Canada, from 2015–2018. These images were used to test two different methods of monitoring lake ice phenology: one method using the first difference between SAR images and another that applies the Otsu segmentation method. Ice phenology dates determined from the two methods were compared with visual interpretation of the Sentinel-1 images. Mean errors for the pixel comparison of the first difference method ranged 3–10 days for ice-on and ice-off, while average error values for the Otsu method ranged 2–10 days. Mean errors for comparisons of different sections of the lake ranged 0–15 days for the first difference method and 2–17 days for the Otsu method. This research demonstrates the value of temporally consistent image acquisition for improving the accuracy of lake ice monitoring.

Application of high density OBC seismic data in comprehensive adjustment of BZ Oilfield

2017 ◽  
Author(s):  
Junting Song* ◽  
Tongxing Xia ◽  
Chuanqi Liu ◽  
XueFeng Zhou
Keyword(s):  
Seismic Data ◽  
High Density

Surface wave suppressing method for single-point high-density seismic data

2016 ◽  
Author(s):  
Zhao Zhonghua ◽  
Wang Jianmin ◽  
Li Hailin ◽  
Deng Hongwei
Keyword(s):  
Surface Wave ◽  
Seismic Data ◽  
Single Point ◽  
High Density
Sign in / Sign up

Export Citation Format

Share Document