【摘要】：多維多屬性數(shù)據(jù)分析和處理是海量數(shù)據(jù)分析的重要內(nèi)容之一。在油氣資源勘探領(lǐng)域,由于信號(hào)的信噪比較低,單個(gè)屬性中的目標(biāo)特征不明顯,通過(guò)多屬性融合分析,可以凸顯地質(zhì)構(gòu)造特征和地質(zhì)目標(biāo)特征�；诖�,本文針對(duì)多屬性地震數(shù)據(jù)問(wèn)題開(kāi)展研究,提出了基于可視分析的多屬性地震數(shù)據(jù)分析方法,其基本思想是結(jié)合可視化技術(shù)和人機(jī)交互技術(shù),充分利用計(jì)算機(jī)的處理能力和人的主觀經(jīng)驗(yàn),一方面可以避免單純依賴計(jì)算機(jī)進(jìn)行數(shù)據(jù)分析的準(zhǔn)確性問(wèn)題,另一方面可以避免僅依賴人機(jī)交互帶來(lái)的操作復(fù)雜性問(wèn)題。具有一定的理論價(jià)值和實(shí)際應(yīng)用價(jià)值。本文針對(duì)多屬性地震數(shù)據(jù)的可視分析問(wèn)題開(kāi)展研究,主要貢獻(xiàn)如下:1.提出了基于連續(xù)平行坐標(biāo)的多屬性數(shù)據(jù)可視分析方法。針對(duì)多屬性數(shù)據(jù)的可視分析,提出了多屬性數(shù)據(jù)可視化、人機(jī)交互的特征提取和融合體繪制的可視分析流程。首要問(wèn)題是對(duì)大規(guī)模多屬性數(shù)據(jù)的可視化問(wèn)題,本文采用了基于連續(xù)平行坐標(biāo)的多維多屬性可視化方法實(shí)現(xiàn)了多屬性數(shù)據(jù)的展示,提取和凸顯目標(biāo)的特征。通過(guò)人機(jī)交互流程實(shí)現(xiàn)目標(biāo)特征的迭代分析和提取,在此基礎(chǔ)上將目標(biāo)特征映射成融合體繪制的傳遞函數(shù),在三維空間采用融合體繪制技術(shù)將目標(biāo)特征進(jìn)行展示。人機(jī)交互貫穿整個(gè)數(shù)據(jù)分析流程,實(shí)現(xiàn)了實(shí)時(shí)的多屬性可視分析方法。通過(guò)仿真分析,本文提出的方法可有有效解決多多屬性地震數(shù)據(jù)的分析問(wèn)題;2.提出了基于空間信息的多屬性數(shù)據(jù)可視分析方法。多屬性數(shù)據(jù)中,不同屬性具有一定的相關(guān)性,同時(shí),目標(biāo)特征在空間上具有一定的相關(guān)性和連續(xù)性�；诖�,本文提出了基于空間信息的多屬性數(shù)據(jù)可視分析方法。其基本思想是通過(guò)人機(jī)交互拾取地質(zhì)目標(biāo)的局部信息,利用目標(biāo)在空間上的相關(guān)性和連續(xù)性,凸顯目標(biāo)的空間特征�；具^(guò)程是將多屬性值在散點(diǎn)圖中投影,用散點(diǎn)圖中投影到每個(gè)像素的體素的重心坐標(biāo)和空間方差來(lái)表征體素的空間信息,并根據(jù)空間信息來(lái)對(duì)數(shù)據(jù)進(jìn)行分類,從而設(shè)計(jì)傳遞函數(shù)指導(dǎo)融合體繪制結(jié)果。該方法在保留地質(zhì)目標(biāo)特征的同時(shí),消除了非特征物質(zhì)的干擾,提高了特征提取效果;3.設(shè)計(jì)并實(shí)現(xiàn)了集成這兩種方法的可視分析系統(tǒng)。利用實(shí)際的地震多屬性數(shù)據(jù)進(jìn)行仿真,為本文的方法提供實(shí)際驗(yàn)證。本文針對(duì)海量多屬性數(shù)據(jù)的分析問(wèn)題開(kāi)展研究,并提出可視分析方法。通過(guò)仿真分析,本文提出的方法有效解決多屬性地震數(shù)據(jù)的可視分析問(wèn)題。
[Abstract]:Multi-dimensional and multi-attribute data analysis and processing is one of the important contents of mass data analysis. In the field of oil and gas resource exploration, because of the low signal-to-noise ratio of the signal, the target characteristics in single attribute are not obvious. Through the multi-attribute fusion analysis, the geological structure characteristics and geological target characteristics can be highlighted. Based on this, this paper studies the problem of multi-attribute seismic data, and puts forward a method of multi-attribute seismic data analysis based on visual analysis. The basic idea of this method is to combine visualization technology and human-computer interaction technology. Making full use of the computer's processing power and human's subjective experience, on the one hand, we can avoid the accuracy problem of data analysis only relying on the computer, on the other hand, we can avoid the operational complexity problem caused by only relying on human-computer interaction. It has certain theoretical value and practical application value. The main contributions of this paper are as follows: 1. A method for visual analysis of multi-attribute data based on continuous parallel coordinates is proposed. Aiming at visual analysis of multi-attribute data, a visual analysis flow of multi-attribute data visualization, feature extraction of human-computer interaction and fusion volume rendering is proposed. The most important problem is the visualization of large-scale multi-attribute data. In this paper, the multi-attribute visualization method based on continuous parallel coordinates is used to display the multi-attribute data, extract and highlight the features of the target. Based on the iterative analysis and extraction of target features through human-computer interaction process, the target features are mapped to transfer functions of fusion volume rendering, and the target features are displayed by fusion volume rendering technology in three-dimensional space. The man-machine interaction runs through the whole data analysis flow and realizes the real-time multi-attribute visual analysis method. Through simulation analysis, the method proposed in this paper can effectively solve the problem of seismic data analysis with many attributes. 2. A method for visual analysis of multi-attribute data based on spatial information is proposed. In multi-attribute data, different attributes have a certain correlation, at the same time, the target features have a certain correlation and continuity in space. Based on this, this paper presents a visual analysis method of multi-attribute data based on spatial information. The basic idea is to pick up the local information of the geological target through human-computer interaction, and to highlight the spatial characteristics of the target by using the spatial correlation and continuity of the target. The basic process is to project the multi-attribute value in the scatter plot, and use the barycenter coordinate and spatial variance of the voxel projected to each pixel in the scattered plot to represent the spatial information of the voxel, and classify the data according to the spatial information. Thus the transfer function is designed to guide the fusion volume rendering results. This method not only preserves the geological target features, but also eliminates the interference of non-characteristic substances and improves the feature extraction effect. 3. A visual analysis system integrating these two methods is designed and implemented. The simulation is carried out by using the actual seismic multi-attribute data, which provides the practical verification for the method in this paper. In this paper, the analysis of massive multi-attribute data is studied, and a visual analysis method is proposed. Through simulation analysis, the method proposed in this paper can effectively solve the problem of visual analysis of multi-attribute seismic data.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：P618.13;P631.44

【參考文獻(xiàn)】

相關(guān)期刊論文 前4條

1 凌云;高軍;孫德勝;林吉祥;;裂縫儲(chǔ)層的地震預(yù)測(cè)技術(shù)與應(yīng)用實(shí)例[J];石油地球物理勘探;2015年01期

2 王開(kāi)燕;徐清彥;張桂芳;程某存;李培海;;地震屬性分析技術(shù)綜述[J];地球物理學(xué)進(jìn)展;2013年02期

3 畢達(dá)天;邱長(zhǎng)波;張晗;;數(shù)據(jù)降維技術(shù)研究現(xiàn)狀及其進(jìn)展[J];情報(bào)理論與實(shí)踐;2013年02期

4 張延玲;楊長(zhǎng)春;賈曙光;;地震屬性技術(shù)的研究和應(yīng)用[J];地球物理學(xué)進(jìn)展;2005年04期

相關(guān)碩士學(xué)位論文 前1條

1 翟旭君;基于平行坐標(biāo)的可視化數(shù)據(jù)挖掘技術(shù)研究[D];清華大學(xué);2005年

，

本文編號(hào)：2343163