摘要
将灰色系统理论与神经网络技术用于水淹层测井评价，建立了高含水期油田水淹层测井解释软件系统，求解反映地层静态和动态特性的一系列参数，描述不同开发期储集层性质。系统的各分析处理模块在集成环境下由菜单统一管理运行，也可以单独以命令方式运行。应用该软件对辽河油田沈８４块Ｓ３４Ⅱ油组开展了地质、沉积微相、水淹层测井解释，处理了不同开发期１２０多口井测井地质资料，获得了较为可靠的储集层描述和水淹层测井解释结果。进而求取剩余油参数及储量，分析了该油组剩余油分布规律及富集区域，为该区块油藏精细评价和进一步调整挖潜提供了依据。
Based on grey system theory and neural
network technology, a set of software system for wateredout formation log evaluation and
interpretation has been developed. By its application to processing log and geological data
from more than 120 wells in the Es43 Member in Block Shen84, zones which are abundant in
remaining oil have been worked out. Remaining oil reserve in 8, 7 and 5 submembers
respectively amounts to 91.5104, 74.9104 and 68.0104t, which distributes mainly in central and
western parts of the block. Scope of these areas is large, which are the primary objects to
adjust and tap potential. Remaining oil reserve in 1 and 2 submember amounts to 2310435104t,
which scatters in central and western part and northern and southern boundaries and corner of
the block, whose distribution area is small. Remaining oil reserve in 6, 3 and 4 submembers
amounts to 4110459104t, which distributes mainly in western and central parts of the block, but
rarely in eastern part, whose area is medium. Shape of zones being rich oil and gas are mainly
differentsize pod, bean and narrow strip shape. According to above research, remaining oil
distribution in these submenbers are described fine, which present evidence to manage
reservoir comprehensively, adjust and tap potential.
出处
《石油勘探与开发》
SCIE
EI
CAS
CSCD
北大核心
1999年第3期90-92,共3页
Petroleum Exploration and Development
关键词
灰色系统
神经网络
水淹层
油田
油井评价
Watered out, Oil reservoir, Well
logging, Interpretation, Remaining oil distribution, Grey system, Nerve network
