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Research On Improvement Of Geophone For Seismic Exploration By Electronic Method

Posted on:2015-01-20Degree:DoctorType:Dissertation
Country:ChinaCandidate:L DongFull Text:PDF
GTID:1260330428484370Subject:Physical Electronics
Abstract/Summary:PDF Full Text Request
Oil is both a valuable energy resource, but also an indispensable strategic material. In recent years, the crude oil imports of china have gradually increased, so that the energy security of our country was affected. The oil demand of modern society grow, more attention was given to the oil exploration technology development. Seismic exploration is one of the main methods of oil exploration. It has several advantages, such as high stability, rich in detail, large exploration depth. Seismic exploration is one of the most effective oil exploration methods.With the continuous development of seismic exploration techniques, the accuracy of seismic exploration system is also rising. Seismic sensor is the critical component of the seismic exploration system. Enhance the performance of seismic sensors is important to improve detection accuracy of seismic exploration system. Today, traditional geophones are still widely used as the sensors of land oil exploration equipment. The performance of geophone has not been significantly improved since it was used in seismic exploration, and it has become the bottleneck of the whole seismic exploration equipment. Therefore, it is very important to improve the performance of geophone.The goal of this paper is to improve the performance of geophone using electronic method without changing the structure of traditional geophone, especially the performance of low-frequency response. In order to find a reasonable way to improve the geophone’s performance, the principle of seismic exploration is studied carefully, the transmission characteristics of seismic wave is analyzed, the characteristics of seismic wave in seismic exploration is found out, the structure and working principle of geophone is analyzed seriously. A new theory model is established in this paper.In this article the traditional electronic network synthesis method is consider, and the network synthesis theory is introduced. The feasibility of designing the geophone feedback network using traditional method is discussed, and it is found that the work is very hard to use the traditional method. Then the genetic algorithm is introduced, and the features of genetic algorithm are analyzed. Finally, this paper presents the circuit network design method of geophone feedback network based on the genetic algorithm, and gives out the design result of the geophone feedback network that is generated by genetic algorithm method.In chapter one, the background information of this paper is introduced, including the types and development history of seismic sensors.In chapter two, the basic principle of land seismic exploration is introduced. First the development history of seismic exploration is introduced briefly, the propagation characteristics of seismic wave is analyzed, then the development trend of the low-frequency of seismic exploration is introduced, finally the requirements of geophone propertiese seismic exploration is discussed.In chapter three, the basic structure of the traditional geophone is introduced, and the theory model of geophone discussed. Finally, several improvements methods, which are studied by our predecessors, for the geophone to improve low frequency performance are introduced.In chapter four, the network synthesis theory is introduced. The feasibility of designing the geophone feedback network using traditional method is discussed.In chapter five, a brief introduction to genetic algorithm is made, then the characteristics of genetic algorithm are analyzed, finally the basic method of genetic algorithm is introduced. And a design scheme to improve the performance of geophone using genetic algorithm is put forward. The design results of the genetic algorithm present in the article.At last, in chapter six, a summary and prospect are made.
Keywords/Search Tags:geophone, genetic algorithm, feedback network, seismicexploration, network synthesis
PDF Full Text Request
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