低孔低渗储层测录井资料油气识别方法

杨思通; 孙建孟; 马建海; 郇光辉

doi:10.11743/ogg20070316

方法技术 | 浏览量 : 0 下载量: 729 CSCD: 0

PDF
导出
分享
收藏
专辑

低孔低渗储层测录井资料油气识别方法
Identification of hydrocarbons in low-porosity and low-permeability reservoirs by integration of surface log data with wire log information
2007年28卷第3期页码：407-412
网络首发：2007-06-25，

纸质出版：2007
DOI： 10.11743/ogg20070316
稿件说明：

移动端阅览

杨思通, 孙建孟, 马建海, 等. 低孔低渗储层测录井资料油气识别方法[J]. 石油与天然气地质, 2007,28(3):407-412. DOI： 10.11743/ogg20070316.

Yang Sitong, Sun Jianmeng, Ma Jianhai, et al. Identification of hydrocarbons in low-porosity and low-permeability reservoirs by integration of surface log data with wire log information[J]. 2007, 28(3): 407-412. DOI： 10.11743/ogg20070316.

摘要

青海乌南油田上油砂山组(N

)和下油砂山组(N

)储集层平均孔隙度分别为13.0%和13.6%

平均渗透分别为3.88×10

μm

和2.93×10

μm

属于低孔、低渗油田。在低孔、低渗储层

由于油气储层中测井资料受储层岩性、地层水性质和储层物性等影响较大

造成含油气储层测井曲线异常特征不明显

单一应用测井资料识别油、气、水层困难。应用BP神经网络技术对乌南油田低孔、低渗储层的测井资料与录井资料进行综合处理

利用测井信息的丰富性和高分辨率的优势与录井资料识别油、气、水层的直观准确性互相结合对低孔、低渗储层进行油气识别。

Abstract

Reservoirs in the Upper Youshashan Formation(N

)and the Lower Youshashan Formation(N

) of Wunan oilfield in Qinghai Province are low in porosity(with average porosity at 13.0% and 13.6% respectively) and permeability(with average permeability at 3.88?10

μm

and 2.93?10

μm

).In this type of reservoirs

logging data is greatly affected by the reservoir lithoglogy

formation water characteristics

and reservoir physical properties

causing difficulties in distinguishing the curves of oil/gas-bearing layers and differentiating oil and gas layers from water layers according to logging data only.In this paper

BP neural network technology is applied to the integrated processing of wire logging data and surface logging data from the low-porosity and low-permeability reservoirs in Wunan oilfield.The abundance and thigh resolution of wire log information are combined with the directness and accuracy of surface log data to identify hydrocarbon zones in reservoirs with low porosity and low permeability.