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

被引：2

作者：

Lin C. ^{[1
]}

Wang S. ^{[1
]}

Zhang Y. ^{[2
]}

机构：

[1] China Petroleum University, Beijing

[2] Oilfield Dept, SINOPEC, Beijing

来源：

Applied Geophysics | 2006年 / 3卷 / 4期

关键词：

correlation analysis; economic effect; hydrocarbon prediction; numerical abnormality; Seismic data structure;

D O I：

10.1007/s11770-006-4006-0

中图分类号：

学科分类号：

摘要：

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. © 2006, the Editorial Office of Applied Geophysics.

引用

页码：234 / 242

页数：8

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