地球学报
地毬學報
지구학보
ACTA GEOSCIENTIA SINICA
2015年
1期
110-113
,共4页
陈珊%于兴河%刘力辉%孙莹频%陆蓉
陳珊%于興河%劉力輝%孫瑩頻%陸蓉
진산%우흥하%류력휘%손형빈%륙용
时频分析%匹配追踪%RGB色彩融合%储层非均质性
時頻分析%匹配追蹤%RGB色綵融閤%儲層非均質性
시빈분석%필배추종%RGB색채융합%저층비균질성
time-frequency analysis%matching pursuit%RGB plot%reservoir heterogeneity
准确、高效地获取地震资料的频率信息是时频技术的关键。目前最热门的匹配追踪算法相比常用的小波变换和广义 S 变换来说,具有更高的时频分辨率和局部自适应性,能同时在时间域和频率域获得较准确的定位,提取较准确的频率域信息,为地震属性研究、油气检测等研究工作服务。RGB 色彩融合技术是一种显示技术,它可以将多个频率体分为低、中、高三个频带进行融合显示,全面地反映各频带信息,弥补单一属性包含信息较少的缺点。将采用匹配追踪的RGB色彩融合技术应用于实际地震资料,清楚地刻画了河道的边界,并对河道内部的非均质性有一定程度的反映,较常规属性具有更深刻的意义。
準確、高效地穫取地震資料的頻率信息是時頻技術的關鍵。目前最熱門的匹配追蹤算法相比常用的小波變換和廣義 S 變換來說,具有更高的時頻分辨率和跼部自適應性,能同時在時間域和頻率域穫得較準確的定位,提取較準確的頻率域信息,為地震屬性研究、油氣檢測等研究工作服務。RGB 色綵融閤技術是一種顯示技術,它可以將多箇頻率體分為低、中、高三箇頻帶進行融閤顯示,全麵地反映各頻帶信息,瀰補單一屬性包含信息較少的缺點。將採用匹配追蹤的RGB色綵融閤技術應用于實際地震資料,清楚地刻畫瞭河道的邊界,併對河道內部的非均質性有一定程度的反映,較常規屬性具有更深刻的意義。
준학、고효지획취지진자료적빈솔신식시시빈기술적관건。목전최열문적필배추종산법상비상용적소파변환화엄의 S 변환래설,구유경고적시빈분변솔화국부자괄응성,능동시재시간역화빈솔역획득교준학적정위,제취교준학적빈솔역신식,위지진속성연구、유기검측등연구공작복무。RGB 색채융합기술시일충현시기술,타가이장다개빈솔체분위저、중、고삼개빈대진행융합현시,전면지반영각빈대신식,미보단일속성포함신식교소적결점。장채용필배추종적RGB색채융합기술응용우실제지진자료,청초지각화료하도적변계,병대하도내부적비균질성유일정정도적반영,교상규속성구유경심각적의의。
The exact and efficient acquisition of frequency information of seismic data is the key to the time-frequency technique. Compared with common wavelet transform and generalized S transform method, the matching pursuit algorithm can obtain precise position both in time and frequency domain because of its higher time-frequency resolution and local adaptability. The accurate information of frequency domain can help to do seismic attributes and hydrocarbon detection work. RGB plot is a display technique, which divides several frequency data into lower frequency, middle frequency and higher frequency data, with the display fused by red, green, and blue. This technique can reflect information of various bands, which avoids the less information of a single attribute. In practical application, RGB plot by matching pursuit algorithm is used to depict the channel boundary and characterize the heterogeneity of inner channel to a certain degree, which has profound significance in comparison with common attribute.