摘要
SL盆地JN2区块经过50多年的勘探开发,井网密度已达53口/km2,综合含水率已高达90%以上,剩余油开发难度越来越大。针对该区特定地震地质条件和实际资料条件,形成了以随机协同模拟技术为核心的反演技术以及井震结合预测砂岩厚度与沉积微相的方法。该方法充分利用现有的井资料、综合研究成果及三维地震资料,能够在超大规模数据量条件下进行规模化运作。
After more than 50 years exploration and development,Block JN2 in SL Basin is characterized by denser producers(53 wells/km2) and higher water cut(>90%),and it is more difficult to exploit remaining oil in the block.According to the special seismic-geological condition and actual data,we put forward here a method which consists of stochastic cooperation modeling inversion,and well seismic and surface seismic joint prediction for reservoir thickness and micro-facies.The method makes full use of available data including well data,3D seismic data and other data.It works with a vast amount of data in the manner of a large scale.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2011年第3期457-462,500+330,共6页
Oil Geophysical Prospecting
关键词
高含水开发期
井震联合
储层预测方法
随机协同模拟
high water-cut development stage,well seismic and surface seismic joint research,reservoir rock prediction method,stochastic cooperate modeling
