摘要
依据生产动态与电性关系的研究,建立了一套快速、直观的水淹层定性和定量测井解释的声波时差—感应电导率图版解释法,即神经网络技术识别法、碳、氧比能谱测井解释法。在平面上,总结出了不同微相、微构造、井网控制程度以及不同非均质和不同性质流体分布地区剩余油分布规律;在纵向上,层间非均质性、韵律、油水界面和射孔完善程度是控制剩余油分布的主要因素。该方法可为类似油藏剩余油研究提供借鉴。
Based upon the study of production performance and electrical property, a chart interpretation method is established by using time difference - - induction conductivity to qualitatively and quantitatively interpret watered - out zone in a rapid and intuitive manner, i.e. neural network technique, C/O spectral log. Laterally, residual oil distri- bution in different micro - facies, micro - structures and well - patterns with different heterogeneity and fluid property is s mnmarized; vertically, main controlling factors of residual oil distribution include inter - layer heterogeneity, rhythm, oil/water contact and perforation completeness. This method may provide reference to residual oil study in similar reservoirs.
出处
《特种油气藏》
CAS
CSCD
2005年第4期40-43,i0010,共5页
Special Oil & Gas Reservoirs
关键词
低幅度构造油藏
剩余油分布规律
测井解释
神经网络
英台油田
low amplitude structural reservoir
residual oil distribution law
logging interpretation
neural network
Yingtai Oilfield