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The Seismic Identification of Igneous Rock of Shanghe Region

Author: GaiYongHao
Tutor: JiangXiaoDian
School: Ocean University of China
Course: Earth Exploration and Information Technology
Keywords: igneous rock Seismic attributes K-L transform Neural Networks
CLC: P631.4
Type: Master's thesis
Year: 2007
Downloads: 146
Quote: 1
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Abstract


Igneous reservoir is one of the elusive reservoir which can often be found in rift basin. The study on igneous rock has become a new hot spot, and there has been a lot of achievements home and abroad. The study area is located in the south of Shanghe oil filed, subjected to the Linnan Depression. This area is situated on the main part of the central uplift terrain, higher in the north and lower in the south, and the layers is slope to southwest. From the tectonic setting, the faults in this area mainly extend from east to west. These main east-west faults coordinated with north-south subsidiary fractures form some small structural traps. The igneous rock distribute in many places of this study area, impact the stratigraphic distribution, restraint the oil and gas exploration in the region. It is necessary to study the formation, evolution and distribution of igneous rock in this area.The author read a number of previous literature, and summarized the characteristics of igneous rock based on the fruits of pioneers. The analysis about the lithologic character, physical property and the response character in log and seismic profile. The seismic reflectance signatures in this region belong to five types. All of these constitute the base of igneous rock identification in routine methods. The emphasis of this paper is the seismic multi-parameter goals prediction based on the K-L transform and BP neural network.Based on the real situation, in this region the author developed the research procedure in 5 sections: first, to chose the favorable horizons, the new horizon had better be generated in the method of interpolation between datum horizons; second, to extract the attributes belong the new horizons, third, preprocessing include anomalous value rejection, smoothing and normalization; forth, the author studies the seismic muti-attribute’s depressed dimension mapping method based on K-L transform and its optimizing forecast strategy based on BP neural network for the igneous rock; fifth, to check the result, and block out the igneous rock.By analyzing the distribution of igneous rock in this region, the development of igneous rock in this region can be divided into 3 stages: the first stage is from Kongdian to Shasi, the second stage is Shasan to early Shayi, the third stage is later Shayi to Dongying.

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CLC: > Astronomy,Earth Sciences > Geology > Geology, mineral prospecting and exploration > Geophysical exploration > Seismic exploration
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