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準(zhǔn)噶爾盆地春風(fēng)油田淺薄儲(chǔ)集層地震逐級(jí)精細(xì)預(yù)測(cè)

發(fā)布時(shí)間:2019-01-30 13:42
【摘要】:針對(duì)準(zhǔn)噶爾盆地春風(fēng)油田淺薄儲(chǔ)集層地震資料信噪比低和分辨率不足等問題,開展針對(duì)性的處理、解釋技術(shù)研究,形成淺薄儲(chǔ)集層地震逐級(jí)精細(xì)預(yù)測(cè)方法。采用互疊式偏移距分組處理技術(shù),將地震資料的覆蓋次數(shù)由8次增加至16次,同時(shí)經(jīng)過提頻去噪成像等精細(xì)處理,局部低信噪比區(qū)信噪比提高1.4倍;建立疊前提高分辨率目標(biāo)處理、疊后子波重構(gòu)拓頻、疊前疊后聯(lián)合反演的三級(jí)預(yù)測(cè)技術(shù),最終砂體分辨能力由12 m逐步提高至2 m,有效提高了儲(chǔ)集層識(shí)別精度。淺薄儲(chǔ)集層在逐級(jí)提頻后的資料中反射更為清晰、連續(xù),與實(shí)際鉆探結(jié)果吻合較好,資料具有較好的保幅性,取得了較好的實(shí)際應(yīng)用效果。
[Abstract]:Aiming at the problems of low signal-to-noise ratio and low resolution of seismic data of shallow reservoir in Chunfeng Oilfield of Junggar Basin, this paper develops a method of fine seismic prediction of shallow reservoir. The coverage of seismic data is increased from 8 times to 16 times by using overlapping offset block processing technology. At the same time, the signal-to-noise ratio of local low signal-to-noise ratio is increased by 1.4 times after fine processing such as raising frequency and de-noising imaging. A three-level prediction technique based on high resolution target processing, post-stack wavelet reconstruction and post-stack joint inversion is established. Finally, the resolution of sand body is gradually improved from 12 m to 2 m, and the recognition accuracy of reservoir is improved effectively. The shallow reservoir reflects more clearly and continuously in the data after increasing the frequency step by step, which is in good agreement with the actual drilling results, and the data have good amplitude preservation and good practical application effect.
【作者單位】: 中國(guó)地質(zhì)大學(xué)(北京)地球科學(xué)與資源學(xué)院;中國(guó)石化勝利油田公司物探研究院;
【基金】:國(guó)家科技重大專項(xiàng)(2011ZX05028;2016ZX05011)
【分類號(hào)】:P618.13;P631.4

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