Remote sensing techniques for onshore oil and gas exploration

2017 ◽  
Vol 36 (1) ◽  
pp. 24-32 ◽  
Author(s):  
Ben Lord
Keyword(s):  
Remote Sensing ◽  
Oil And Gas ◽  
Oil And Gas Exploration ◽  
Remote Sensing Techniques

scholarly journals Oil seeps detection and mapping by SAR imagery in the Adriatic Sea

2020 ◽  
Vol 61 (1) ◽  
pp. 13-26
Author(s):  
Andrei Yu. Ivanov ◽  
Mira Morović
Keyword(s):  
Remote Sensing ◽  
Oil And Gas ◽  
Adriatic Sea ◽  
Sea Surface ◽  
Public Attention ◽  
Sar Images ◽  
Oil And Gas Exploration ◽  
Sar Imagery ◽  
Remote Sensing Techniques ◽  
New Perspective

This study provides a new perspective on the hydrocarbon seeps in the Adriatic Sea, supporting both the environmental issues and eventual oil and gas exploration. Remote sensing techniques, particularly synthetic aperture radar (SAR) images are used to detect oil slicks on the sea surface. In such a way two groups of oil slicks have been detected in the Northern and Central Adriatic Sea on the SAR images acquired by the European Sentinel-1A and Sentinel-1B satellites in 2017-2018. Analysis of SAR images together with bathymetry, geological and geophysical data in geographic information system (GIS) have shown that these oil slicks, visible on the sea surface have natural origin, i.e. are seepage phenomena, associated to existing marine hydrocarbon systems. These oil slicks were concentrated over the shallow shelf, and repeatedly or episodically occur in the areas of interest, and are related to local oil-and-gas bearing sediments. Findings of the seeps and seep candidates that passed unnoticed from public attention indicate the effectiveness of the approach used. Finally, it is concluded that the frequent SAR imagery is an excellent tool for monitoring of seepage phenomena, and the results indicate that the use of remote sensing methods can be considered as a good approach to support oil and gas exploration in the Adriatic Basin.

Study on oil and gas exploration in sparse vegetation areas by hyperspectral remote sensing data

2012 ◽  
Vol 10 (s1) ◽  
pp. s11004-311006 ◽  
Author(s):  
Qianqian Li Qianqian Li ◽  
Xiaomei Chen Xiaomei Chen ◽  
Xing Liu Xing Liu ◽  
Bingjing Mao Bingjing Mao ◽  
Guoqiang Ni Guoqiang Ni
Keyword(s):  
Remote Sensing ◽  
Oil And Gas ◽  
Remote Sensing Data ◽  
Hyperspectral Remote Sensing ◽  
Oil And Gas Exploration ◽  
Sensing Data ◽  
Sparse Vegetation

scholarly journals Sea Ice Remote Sensing Using GNSS-R: A Review

2019 ◽  
Vol 11 (21) ◽  
pp. 2565 ◽  
Author(s):  
Qingyun Yan ◽  
Weimin Huang
Keyword(s):  
Remote Sensing ◽  
Sea Ice ◽  
Oil And Gas ◽  
Satellite System ◽  
Sea Ice Concentration ◽  
Sea Ice Thickness ◽  
Oil And Gas Exploration ◽  
Offshore Oil And Gas ◽  
Ice Detection ◽  
Global Navigation Satellite

Knowledge of sea ice is critical for offshore oil and gas exploration, global shipping industries, and climate change studies. During recent decades, Global Navigation Satellite System-Reflectometry (GNSS-R) has evolved as an efficient tool for sea ice remote sensing. In particular, thanks to the availability of the TechDemoSat-1 (TDS-1) data over high-latitude regions, remote sensing of sea ice based on spaceborne GNSS-R has been rapidly growing. The goal of this paper is to provide a review of the state-of-the-art methods for sea ice remote sensing offered by the GNSS-R technique. In this review, the fundamentals of these applications are described, and their performances are evaluated. Specifically, recent progress in sea ice sensing using TDS-1 data is highlighted including sea ice detection, sea ice concentration estimation, sea ice type classification, sea ice thickness retrieval, and sea ice altimetry. In addition, studies of sea ice sensing using airborne and ground-based data are also noted. Lastly, applications based on various platforms along with remaining challenges are summarized and possible future trends are explored. In this review, concepts, research methods, and experimental techniques of GNSS-R-based sea ice sensing are delivered, and this can benefit the scientific community by providing insights into this topic to further advance this field or transfer the relevant knowledge and practice to other studies.

scholarly journals Oli and Gas Explorations via Satellite Remote Sensing Techniques for AL_Nasiriya

2019 ◽  
pp. 2308-2314
Author(s):  
Suhad Faisal Behadili ◽  
Baqir H. Sayed
Keyword(s):  
Satellite Images ◽  
Oil And Gas ◽  
Black Body ◽  
Data Set ◽  
Oil And Gas Exploration ◽  
Oil And Gas Fields ◽  
Landsat 7 ◽  
Remote Sensing Techniques ◽  
Gas Fields ◽  
The City

     This study investigates data set as satellite images of type multispectral Landsat-7, which are observed for AL_Nasiriya city, it is located in southern of Iraq, and situated along the banks of the Euphrates River. These raw data are thermal bands of satellite images, they are taken as thermal images. These images are processed and examined using ENVI 5.3 program. Consequently, the emitted Hydrocarbon is extracted, and the black body algorithm is employed. As well as, the raster calculations are performed using ArcGIS, where gas and oil features are sorted. The results are estimate and determine the oil and gas fields in the city. This study uncovers, and estimates several unexplored oil and gas fields. Whereas, the real oil and gas exploration is high costly regarding to actual existed ones in proportional to human and equipment. For future, it is intended to perform domain oil and gas exploration in order to compare between the presented results of this study with the actual existed ones.

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