石油与天然气地质 ›› 2003, Vol. 24 ›› Issue (4): 409-412.doi: 10.11743/ogg20030421

• 勘探开发 • 上一篇    下一篇

测井资料和波阻抗多参数油气预测方法的应用

邬兴威1,2, 杨勇1,2, 朱爱丽2   

  1. 1. 中国地质大学, 北京, 100083;
    2. 中国石化石油勘探开发研究院, 北京, 100083;
    3. 中国石化石油勘探开发研究院, 北京, 100083
  • 收稿日期:2003-11-19 出版日期:2003-12-25 发布日期:2012-01-16

APPLICATION OF MULTI-PARAMETERS, LOGGING DATA AND WAVE IMPEDENCE, TO OIL-GAS PREDICTION

Wu Xingwei1,2, Yang Yong1,2, Zhu Aili2   

  1. 1. China University of Geosciences, Beijing;
    2. Exploration & Production Research Institute, SINOPEC, Beijing
  • Received:2003-11-19 Online:2003-12-25 Published:2012-01-16

摘要:

由于受储层自身影响,应用波阻抗反演数据预测储层含油气性,往往存在多解性,如平湖储层砂、泥岩的波阻抗存在较大的重叠;鄂北区块储层为薄互层且受煤层影响;东北十屋断陷储层的水矿化度很低;塔北地区碳酸岩溶洞和裂缝分布不均一。针对这些情况,采用测井资料多参数与波阻抗交汇的方法对储层含油气性进行预测,以期避免单用波阻抗数据造成的多解性。首先,针对不同具体情况筛选出灵敏度较高的测井参数;然后与波阻抗进行交汇,用已知井的油气分布情况对交汇图进行标定;最后用标定好的交汇图对未知井的含油气性进行预测。经实际检验,预测效果较好。

关键词: 多参数, 油气预测, 交汇图, 有效性, 含油气层段

Abstract:

The application of wave impedance inversion data to oil/gas reservoir prediction would generally have multiple solutions,due to the effects of reservoir characteristics,such as the wave impedances of sandstones and mudstones in Pinghu reservoirs would often be similar,the thinly interbedded reservoirs in northern Hubei block are affected by coal seams,the reservoir water salinity in Shiwu fault depression in northeastern China is very low,and karsts and fractures are unevenly distributed in carbonates in northern Tarim basin.Considering these conditions,oil/gas reservoir prediction has been made by using crossplot of multiple logging parameters and wave impedence data.The multiple solutions caused by using wave impedance data only can then be avoided.According to various conditions,logging parameters with relatively high sensitivity should first be carefully selected,then make the crossplots of those logging parameters and wave impedence data.The crossplots must be calibrated against the known oil/gas distribution.The oil/gas reservoirs in a new well can finally be predicted by using the calibrated crossplot.Practical testing has proved the prediction is feasible.

Key words: multi-parameter, oil and gas prediction, cross-plot, effectivity, petroleum stratigraphic horizons

中图分类号: