Thin Reservoir Prediction by Prestack Inversion Combined with Geostatistic Simulation
详细信息
- 责任者：Wang Xia (BGP Inc. ; CNPC ; Zhuozhou 072751 ; China) ; Zhang Yanqing
- 刊名：Oil Geophysical Prospecting
- 出版年：2011
- 卷期：46(5)
- 关键词：储层预测 ; reservoir prediction ; 地震勘探 ; seismic exploration ; 黄骅坳陷 ; Huanghua Depression
- 页码：p.744-748
- 图表：2 illus., 6 refs.
- 分类号：1600
- 出版序号：2001
- issnNo：ISSN1000-7210
- isbnNo：CN13-1095/TE
摘要
In JD oilfield of Bohai, China, delta fronts and distributary channel sands are characterized by rapid lateral variations dominate reservoirs. Both extrusive (lava flow) and intrusive igneous rocks are distributed randomly in the target, and the resolution of seismic data is poor. Therefore it is difficult to predict reservoir with the thickness less than 15 m. Based on Greebert-castagna model, the authors propose a new approach for thin reservoir prediction by prestack inversion combined with geostatistic simulation. Through rock-physic modeling, a template for oil sands,oil-show sand, wet sands and non reservoir rocks in the area is established. A new attribute, which indicates variation of a sand reservoir and fluids in it, was found through elastic parameters combination. With this new attribute, the authors combined prestack inversion and geostatistcal simulation to make full use of both information to predict thin reservoir in the area and results are satisfied.