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地震屬性優(yōu)化方法綜述
印興耀,周靜毅
　　隨著提取地震屬性技術的不斷發(fā)展,地震屬性種類也在不斷地增加。鑒于地震屬性與所預測對象之間的關系復雜,不同工區(qū)和不同儲層對所預測對象敏感的(或最有效的、最具代表性的)地震屬性是不完全相同的,因此必須對地震屬性進行優(yōu)化處理。通常優(yōu)化處理是指利用人的經(jīng)驗或數(shù)學方法,優(yōu)選出對所求解問題最敏感(或最有效、最有代表性)的屬性個數(shù)最少的地震屬性組合。筆者認為地震屬性優(yōu)化主要包括屬性預處理和屬性選擇兩部分。文中分別對這兩部分包含的內(nèi)容進行了評述,以供從事地震屬性優(yōu)化的研究人員參考。
【作者單位】：中國石油大學地球資源與信息學院 華東 (印興耀);中國石油大學地球資源與信息學院 華東(周靜毅)
【關鍵詞】：地震屬性;屬性優(yōu)化;屬性預處理;儲層預測
【正文快照】：
　　1己壓理全 JL J.仁習 地震數(shù)據(jù)攜帶大量的儲層地質信息,地震儲層 預測己經(jīng)成為人們認識和監(jiān)測油氣藏的重要手段。 在勘探階段,預測儲層的空間變化,可以快速、高效 地發(fā)現(xiàn)油氣田,提高勘探效益;在油氣田開發(fā)階段則 可以幫助制定出更合理的開發(fā)方案。多信息綜合預 測成功的關鍵是提取并優(yōu)選與地質特性有關的地震 屬性〔‘一3」。優(yōu)化選擇地震屬性而不是原始地震數(shù)據(jù) 的原因在于,當目標地區(qū)的地震地質情況確定時,只 有在儲層或流體性質變化導致相應特征參數(shù)變化達 到某一程度時,地震剖面才會有反映,而地震屬性卻 對這些特征參數(shù)敏感得多,并且…

Summary of optimum methods of seismic attributes
Yin Xing-yao and Zhou Jing-yi. Institute of Earth Resource and Information;University of Petroleum;Dongying City;Shandong Province;257061;China
　Along with the constant development of detecting seismic attributes techniques, the kinds of seismic attributes also increase continuously. In view of complex relationship between predicted targets and seismic attributes, the seismic attributes sensitive to (or most effective on,or most representative of) targets predicted are not completely identical in different work areas and different reservoirs. For that reason, it has to optimize the seismic attributes. Generally, the optimized processing means that using human experiences and mathematic algorithm to optimize the fewest numbers of composition of seismic attributes characterized by most sensitive to (or most effective on, or most representative of) solved problems. The authors considered that the optimum of seismic attributes should mainly include two parts: preprocessing of attributes and selection of at- tributes. The paper appreciated these two parts of contents separately , which gave a reference to the researchers who engaged in optimum of seismic attributes.
【Keyword】：seismic attributes,attributes optimiza- tion ,attributes preprocessing , reservoir prediction