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火山岩储层建模初探
引用本文:王德发.火山岩储层建模初探[J].地学前缘,2000,7(4):381-389.
作者姓名:王德发
作者单位:[1]中国地质大学,北京 [2]大庆油田高级人才培训中心,大庆
基金项目:CNPC东部深层项目!“松辽盆地徐家围子断陷石油地质综合研究与目标评价”(科 97 40 ),CNPC油气储层重点实验室资助项目
摘    要:火山岩储层建模研究是一个世界性难题。近年来 ,国内外在含油气盆地的火山岩中发现了大量的油气藏。为了探索火山岩储层物性的空间分布特征 ,作者选取了松辽盆地徐家围子地区火山岩发育的营城组为研究目的层 ,以火山岩相分析为基础 ,以基于相分析的神经网络技术为手段 ,通过多种参数的选取和计算 ,尝试性地建立了该区火山岩储层地质模型。该模型表明 :层状火山机构比块状火山机构的物性好 ;多相火山机构比单相火山机构物性好 ;裂缝发育的火山机构比裂缝不发育的火山机构物性好。基底涌流相、火山空落相、火山沉积相是有利的储集相带。

关 键 词:火山相  储层建模  相控制的神网络技术

STUDY ON VOLCANIC RESERVOIR MODELING
LI Chang shan ,CHEN Jian wen ,YOU Jun ,WANG De fa ,ZHENG Jun mao.STUDY ON VOLCANIC RESERVOIR MODELING[J].Earth Science Frontiers,2000,7(4):381-389.
Authors:LI Chang shan    CHEN Jian wen    YOU Jun  WANG De fa  ZHENG Jun mao
Institution:LI Chang shan 1,2,CHEN Jian wen 1,3,YOU Jun 1,WANG De fa 1,ZHENG Jun mao 1
Abstract:Volcanic reservoir modeling is still a challenge task in reservoir geology. But a number of oil and gas pools have been found in the volcanic rock home and abroad for last few years. In order to study the spatial features of the volcanic reservoirs, Yingcheng Formation, located in Xujiaweizi region of Songliao Basin, has been selected as target zone. Based on the analysis of volcanic eruption facies, many parameters for modeling were chosen and calculated by using facies controlled Neural Network technique, and finally a volcanic reservoir model was built in this region. It shows that the petrophysical features of layer, multi facies and crack volcanic mechanisms are better than block, mono facies and non crack ones respectively. The base surge flows facies, pyroclastic fallout facies and eruption sedimentary facies are the promising zones for oil and gas exploration.
Keywords:volcanic lithofacies  reservoir modeling  facies  controlled Neural Network technique
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