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Predicting the distribution of reservoirs by applying the method of seismic data structure characteristics: Example from the eighth zone in Tahe Oilfield 被引量:10

Predicting the distribution of reservoirs by applying the method of seismic data structure characteristics: Example from the eighth zone in Tahe Oilfield
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摘要 波形字符在分离数据在时间顺序安排了的地震数据结构特征工具把地震踪迹指向每 2-D 或 3-D。用地震数据结构特征的烃预言是一种新水库预言技术。当主要薪水间隔与很强壮的不同类在碳酸盐骨折和裂缝大洞类型水库时,有烃预言的一些困难。因为 Tahe 油地里的第八个地区的特殊地质的条件,我们在这个地区为奥陶纪水库把地震数据结构特征用于烃预言。我们把区域油地区划分成有利、相反的块。十八个井地点在有利的油块被求婚,钻,并且恢复油和气体的更高的输出。 Seismic data structure characteristics means the waveform character arranged in the time sequence at discrete data points in each 2-D or 3-D seismic trace. Hydrocarbon prediction using seismic data structure characteristics is a new reservoir prediction technique. When the main pay interval is in carbonate fracture and fissure-cavern type reservoirs with very strong inhomogeneity, there are some difficulties with hydrocarbon prediction. Because of the special geological conditions of the eighth zone in the Tahe oil field, we apply seismic data structure characteristics to hydrocarbon prediction for the Ordovician reservoir in this zone. We divide the area oil zone into favorable and unfavorable blocks. Eighteen well locations were proposed in the favorable oil block, drilled, and recovered higher output of oil and gas.
出处 《Applied Geophysics》 SCIE CSCD 2006年第4期234-242,共9页 应用地球物理(英文版)
基金 This reservoir research is sponsored by the National 973 Subject Project (No. 2001CB209).
关键词 蓄水池 地震 油田 波形 Seismic data structure, numerical abnormality, correlation analysis, hydrocarbon prediction, economic effect
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