黄骅坳陷滩海地区低渗透储层分类方法研究——以埕海油田二区沙河街组二段为例  

Reservoir Classification Method of Low Permeability Reservoirs in Shallow Sea Area of Huanghua Depression——By Taking Es_2 in Region 2 of Huanghua Depression for Example

作　　者：张宪国[1] 张涛[2] 

机构地区：[1]中国石油大学(华东)地球科学与技术学院,山东青岛266580 [2]山东科技大学地质科学与工程学院,山东青岛266590

出　　处：《石油天然气学报》2013年第10期51-55,6,共5页Journal of Oil and Gas Technology

基　　金：国家科技重大专项(2011ZX05009-003);国家自然科学基金项目(41202092);国家博士后基金项目(2012M521366)

摘　　要：黄骅坳陷滩海地区井点稀疏,井网不规则,以常规测井资料为主,急需基于常规测井资料的低渗透储层分类评价方法。以黄骅坳陷埕海油田沙二段低渗透储层为例,综合岩心、测井及试油资料,建立了基于统计分析的测井储层分类方法与误差逆传播神经网络判别方法相结合的低渗透储层测井分类评价方法。首先利用取心段岩心和测井资料,建立低渗透储层岩性测井识别标准;在此基础上,结合试油资料,建立储层分类的岩性-物性标准;针对非取心段低渗透储层岩性、物性复杂和常规测井识别难的问题,建立了用于储层分类的误差逆传播神经网络;利用取心段储层分类结果对神经网络进行训练,进而实现沙二段低渗透储层的分类评价,解决了非取心段低渗透储层分类评价难题。对寻找相对优质储层、实现油藏高效开发具有重要意义。In shallow sea area of Huanghua Depression,oil wells were sparse and well patterns were irregular and common well logging data were mainly used.Low permeability reservoir classification methods based on conventional well logging data were needed badly.Low permeability reservoirs in Es2in shallow sea area of Chenghai Oilfield in Huanghua Depression were taken as an example in combination with drilling cores,logging and production test data,a reservoir classification method was established in combination of traditional reservoir classification method with reverse error propagation neural network,which was based on statistics.The drilling core and logging data were firstly used for establishing a lithology identification criterion for low permeability reservoirs.On the basis stated above,lithology-physical property criterion for reservoir classification was established based on the formation test data.A reverse error propagation neural network for reservoir classification was built to solve the problems of complexity of reservoir lithology and physical property and the difficulty of conventional logging classification in non-coring sections.Reservoir classification results of coring sections are used to train the neural network and then low permeability reservoir classification and evaluation of Es2 are realized.This method is used for resolving the difficulty in low permeability reservoir classification and evaluation in non-coring sections.It is of great significance for high efficient reservoir development.

关 键 词：黄骅坳陷 滩海地区 低渗透储层 储层分类 误差逆传播神经网络 

分 类 号：P618.13[天文地球—矿床学]