scholarly journals A New Methodology for Oil and Gas Exploration Using Remote Sensing Data and Surface Fracture Analysis

10.2172/3244 ◽  
1999 ◽  
Author(s):  
Herbert B. Carroll ◽  
Genliang Guo
Keyword(s):  
Remote Sensing ◽  
Oil And Gas ◽  
Remote Sensing Data ◽  
Fracture Analysis ◽  
Surface Fracture ◽  
Oil And Gas Exploration ◽  
Sensing Data

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 Integrated geological interpretation of remote sensing data (Boysun structural-tectonic zone)

2021 ◽  
Vol 929 (1) ◽  
pp. 012002
Author(s):  
L R Bikeeva ◽  
Z Kh Safarov ◽  
M G Yuldasheva ◽  
N M Akramova ◽  
Sh A Umarov
Keyword(s):  
Remote Sensing ◽  
Oil And Gas ◽  
Sedimentary Cover ◽  
Remote Sensing Data ◽  
Remotely Sensed Data ◽  
Tectonic Zone ◽  
Geological Interpretation ◽  
Sensing Data ◽  
Local Structures ◽  
Ring Structures

Abstract In recent years, remote sensing data are increasingly used in the practice of oil and gas prospecting. This article discusses the main methodological aspects of identifying oil and gas promising structures by using materials for interpreting remote sensing data and a complex of geological and geophysical data. Remotely sensed data exhibit a regional review of the various geological formations and tectonic fracture zone and faults that are otherwise not possible detection by human eyes on the ground. The method of structural interpretation space image allows you to: detail the internal structure of oil and gas regions; to reveal the position and features of the tectonic blocks, structures of the second and third (anticlines, synclines, monoclines, etc.) orders; identify major disruptive violations; identify chains of local structures; fix the transverse structural elements that determine tectonic fragmentation. By deciphering the remote sensing data, the distribution and nature of the lineament network marking disjunctive dislocations and zones of increased fracturing are revealed and analyzed, as well as ring structures are detected, which in most cases indicate local structures of the sedimentary cover at different depth sections. The lithology and lineament interpreted from these multi-level data were integrated with data collected from the ground.

scholarly journals Remote monitoring of the state of hydrocarbon pollution of the geological environment and assessment of the risks of dangerous situations in areas of long-term oil and gas production and compact living of the population

2020 ◽  
pp. 14-26
Author(s):  
Volodymyr Filipovych ◽  
Anton Mychak ◽  
Alexandr Kudryashov ◽  
Ruslan Shevchuk
Keyword(s):  
Remote Sensing ◽  
Remote Monitoring ◽  
Oil And Gas ◽  
Remote Sensing Data ◽  
Field Work ◽  
Gas Production ◽  
Hydrocarbon Production ◽  
Sensing Data ◽  
Space Data

The results of the analysis of geoecological problems of territories of long-term hydrocarbon production are presented. Based on the analysis of ground-based and remote studies, the possibilities of space data were determined during the eco-monitoring of hydrocarbon deposits. A methodological and technological scheme for assessing the risks of harming the environment is proposed. The list of tasks that can be solved using Earth remote sensing data:- control of environmental pollution by hydrocarbons (oil, gas) at different stages of the functioning of the oil and gas complex - from the search and exploitation of deposits, to the transportation, storage and processing of petroleum products;- flooding and flooding of territories of oil production by underground waters;- identification, mapping, field studies, discontinuous violations of various ranks, are ways of migration of oil and gas in the upper layers of the earth's crust;- identification and mapping of technogenic sources of gas contamination of the surface layer of the atmosphere, namely:- non-geometrical wells, oil and gas pipelines;- buried under modern sediments, pit-well houses, mines.Satellite monitoring consists of 4 stages. At the first, preliminary stage, objects of remote monitoring are determined, a base of satellite and thematic data is formed, the foundations of a future thematic GIS are laid. At the second stage, the actual detection (decryption) of objects and territories polluted with hydrocarbons is carried out. At the next, third stage, a set of field work is carried out in order to validate the research methodology and verify the data obtained using ground-based measurements.At the fourth, final stage, based on an analysis of all the information received, an assessment of the risks of dangerous situations is carried out and their possible consequences are predicted.The possibilities of assessing the risks of dangerous situations in areas of long-term hydrocarbon production according to remote sensing data are considered. A review of hazardous situations resulting from hydrocarbon production in the city of Borislav is given .; recommendations are proposed to reduce the risk of their occurrence.

scholarly journals A Preliminary Study on Heavy Oil Location in Central Sumatra using Remote Sensing and Geographic Information Sytem

2021 ◽  
Vol 44 (1) ◽  
pp. 39-54
Author(s):  
Suliantara Suliantara ◽  
Tri Muji Susantoro ◽  
Herru Lastiadi Setiawan ◽  
Nurus Firdaus
Keyword(s):  
Remote Sensing ◽  
Heavy Oil ◽  
Vegetation Index ◽  
Oil And Gas ◽  
Gravity Data ◽  
Remote Sensing Data ◽  
Geographic Information ◽  
Landsat 8 ◽  
Sensing Data ◽  
Central Sumatra

Heavy oil which is classifi ed as non conventional oil is the target of exploration in the world. In Indonesia, the potential for heavy oil exploration is quite large, especially in the Central Sumatra basin. This study aims to map the location of potential heavy oil based on remote sensing data and regional gravity data supported by a geographic information system. Landsat 8 OLI satellite data is processed to produce 567 (RGB) color composite images, then further processing is carried out with DEM data to produce fusion images; mapping the vegetation index, clay mineral index, iron oxide index, surface temperature. The gravity data is used for mapping subsurface geological structures. Overlay analysis is carried out on the results of remote sensing data processing and interpretation of surface and subsurface geology. Based on the analysis, it shows that heavy oil fi elds are generally found on the surface and subsurface structures which are relatively identical and located on the edge of the basement high. Based on this analysis, the locations that have the potential for heavy oil and gas traps are on the northeast edge, Dalu-dalu High, the edge of Kampar High, the west edge of Kuantan High, the southwest edge of the Beruk High, the southwest edge of the Sembilan High.

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