Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userDetermination Structural Traps in Al-Qaryatein Region by the Integration of Geophysical Data and Remote Sensing Techniques
تحديد المصائد البنيوية في منطقة القريتين عن طريق تكامل المعطيات الجيوفيزيائية وتقنيات الاستشعار عن بعد
2208
0 41
0
(
0
)
Created by
Shamra Editor
Ask ChatGPT about the research
تهدف هذه الدراسة إلى تحديد المواقع الأكثر مأمولية من حيث وجود المصائد البنيوية الهيدروكربونية Structural Traps ضمن منطقة القريتين، بشكل يسهم في توجيه أعمال الاستكشاف والتنقيب واختصار الكثير من الوقت والجهد الحقلي الذي تستغرقه عمليات التحري والمسح التقليدية. حُددت في هذه الدراسة المظاهر الخطية Lineaments والبنيات الحلقية ضمن منطقة القريتين، وذلك من خلال معالجة وتحليل معطيات التوابع الصنعية، باستخدام عدة تقنيات مختلفة خاصة بالاستشعار عن بعد RS، وبمساعدة نظم المعلومات الجغرافية GIS. وتم فرز المواقع الهامة ذات الأولوية من حيث وجود التراكيب تحت السطحية، اعتماداً على عدد من المعايير الخاصة والمتعلقة بكل من كثافة المظاهر الخطية واتجاهاتها ضمن البنيات الحلقية في منطقة الدراسة. قُيمت المواقع الهامة عن طريق التكامل بين معطيات التوابع الصنعية والمعطيات الجيوفيزيائية الكمونية Non-Seismic data التي تمت معاملتها وتفسيرها باستخدام تقنياتها الخاصة، وصولاً إلى تحديد ثلاثة مواقع مأمولة من حيث وجود المصائد البنيوية الهيدروكربونية في منطقة القريتين، وقد أسهمت عملية التكامل المتبعة في هذه الدراسة بين تقنيات الاستشعار عن بعد والتقنيات الجيوفيزيائية في زيادة موثوقية نتائج هذه الدراسة
To determine the prime potential locations of the hydrocarbon structural traps in Al-Qaryatein region, which can help in the hydrocarbon exploration processes and reducing a lot of time and fieldwork efforts, lineaments and circular features were identified in the study area by processing and analysing Satellite data using several Remote Sensing techniques and Geographic Information Systems. The priority locations of subsurface structures were distinguished using several special criteria; these criteria are related to the density of the lineaments and their directions within the circular features of the study area. The priority locations of subsurface structures were evaluated by the integration of remote sensing and non-seismic geophysical data which were processed and interpreted by using their own techniques, to determine the prime potential locations of the hydrocarbon structural traps which reached three locations in the study area. The integration between geophysical data and remote sensing techniques increased the trust in the results of this study.
References used
Dobrin, M.B. 1976. "Introduction to Geophysical Prospecting", McGraw-Hill, New York
Guo, G. and H. Carroll 1999. "A New Methodology for Oil and Gas Exploration Using Remote Sensing Data and Surface Fracture Analysis", report, National Petroleum Technology Office, Oklahoma, USA
Ponikarov, V.P. 1966. "The Geology of Syria. Explanatory Notes on the Geological Map of Syria, Scale 1:200 000", Ministry of Industry, Damascus, Syrian Arab Republic
المحمد، سعود . 2009 "تكامل معلومات الاستشعار عن بعد ونظام المعلومات الجغرافي لدراسة وتقييم الآمال النفطية والغازية في القسم المركزي والجنوبي الشرقي من سوريا"، المجلد (31) مجلة جامعة البعث.
rate research
Read More
Studying and drawing the soil maps is considered by using the way of data
integrating the remote sensing and the geographical information system of new and
developed technologies in which we define what all related to soil through these studies
an
d drawing maps to it for example
a possibility of drawing the following maps:
1- Drawing a map of situation and the materials of soil surface.
2- Drawing a map of difference of soil colors sensing the soil content of organic
matter.
3- A map of lands declination and their salinity and efficiency of drainage in them.
4- Drawing a map of drainage.
In the research performing and drawing the up mentioned soil maps for south-west of
Hama region by using the new technologies which they have opened for us many horizons
in all domains related to many subjects particularly, the subject of this research .
Studing and defining the types of soils by using the method of
integrating data of remote sensing and the devices measuring the
reflex rays such as radiometer and spectrometer ….etc is considered
one of very recent technology in such study,so that
we define the
reflexed spectrum intensity for the ground targets where the soil is
one of them that directly in the field and making comparsion of this
results with images of satellites where the channels of device do on
the same spectrum ranges of the satellites.
The expense of using the ground method is high an it requires
long time comparativilty using the space images to the same target.
In this research types of soils determined their speed
boundaries,drawing a map and making the reflexed graph for them.
Remote sensing technique is considered as one of the main sciences that grew very
fast last years. Satellite images are important and advanced source to get data about any
region on the earth. Using satellite images, integrated with geographic info
rmation system
(GIS) for mapping are considered as one of the modern applications that expanded widely
now a days.
This paper aims at integrating the techniques of remote sensing and geographic
information systems (GIS) for performing topographic study of landsat7 satellite image
taken of a part of northern part of Lattakia. The two software, Erdas Imagine and ArcGIS
are used to perform topographic analysis depending on digital processing for the image,
then analyzing its terrain. Depending on digital terrain model (DTM), 3D slope image is
derived. Land use map is written for the study area. Then, some spatial analysis are
performed to find the best positions to construct different projects that have economic
benefits.
finally, analyses and results are discussed.
Optimum Index Factor (OIF) technique of statical analysis is fusion with Decision Tree Classification (DTC) method in determine the spectral critical value for separation the features in the image processing programs, and the architecture of this app
roach is designed for accuracy extracting the area and distribution urban from space image. Accuracy assessment of that approach is tested by comparing the supervised classification results for these feature from both the original bands of image and synthetical bands/indices of the image upon OIF value. Applied results of the approach on certain district represent the north Swaidaa city by Quick Bird image are: 98% for the suggested approach opposite 93% for supervised classification method of the synthetical bands image and 82% for original bands image. Accuracy of the approach is derived from exact separation the urban feature than similar spectrally objects in the image as basalt exposures and roads, where achievement of the other processing methods are less.
The aim of this research is to study and prognosis oil and gas by utilization of Remote Sensing (RS) data Geographic Information
System (GIS) and Digital Elevation Model (DEM), and 3D. The integration of the data by using program (Arc GIS). The inte
gration data led to divide the lineaments circular structures and drainage network. Which present direct and indirection indicate on earth surface for surface and subsurface structures Which play important role in prospecting oil and gas.
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
