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组合反褶积在LD地区薄储层预测中的应用

Application of Combined Deconvolution of Thin Reservoir Prediction in LD Area
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摘要 LD黄土塬区为近年来鄂尔多斯盆地油气勘探的热点地区,但地震资料信噪比低、分辨率低、深层有效信号能量弱,砂体埋藏深、厚度薄、储层致密,一直是储层预测的难点。在地震资料静校正、保幅去噪等精细处理的基础上,总结出一套叠前、叠后组合反褶积逐步提高分辨率的方法。应用研究表明,该方法使得地震成像精度显著提高,为薄储层预测提供了可靠的基础资料。 LD loess plateau of Ordos Basin has been the hot-point region of oil and gas exploration in recent years,but the complicated surface conditions caused the low S/N ratio and low resolution of seismic data,weak energy of effective signals,deep burial of sandbody,thin reservoir thickness and dense reservoirs,which induced the problems for reservoir prediction.Based on the static seismic data calibration and amplitude preserved denoising,a combined deconvolution method was summed up to raise resolution step by step in prestack and poststack data processes.The application shows that the method is used for obviously improving the resolution,it provides reliable data for thin reservoir prediction.
出处 《石油天然气学报》 CAS CSCD 2013年第11期61-65,6,共5页 Journal of Oil and Gas Technology
基金 中国石油天然气股份有限公司重大科技专项(2011E-1303)
关键词 静校正 保幅去噪 反褶积 薄储层 分辨率 黄土塬 鄂尔多斯盆地 static calibration amplitude preserved denoising deconvolution thin reservoir resolution loess plateau Ordos Basin
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