摘要
通过分析测井曲线特征,对松辽盆地南部某区块深层火山岩岩相和亚相进行了划分。利用马尔可夫链对研究区深层火山岩油气藏的岩相以及亚相的二维展布进行了井间预测。二维马尔可夫链模型的算例表明,火山岩岩相符合马尔可夫特性,利用马尔可夫链预测火山岩空间分布对于火山岩油气勘探具有一定的指导作用。
Based on the logging characteristic analysis of volcanic lithofacies, determined are the volcanic faces and sub-faces in the south Songliao Basin. Forecasted with Markov chain are 2D spatial distributions of the volcanic lithofacies and sub-facies between well and well. The facies of 2D Markov chain model of the actual examples shows that the understanding of igneous rocks as well as their spatial distributions is very effective. Using Markov chain model to obtain 2D volcanic lithofacies spatial distribution images is a more reliable guide to the volcanic reservoir exploration.
出处
《测井技术》
CAS
CSCD
2008年第4期314-318,共5页
Well Logging Technology
关键词
测井相
马尔可夫链
转移概率
火山岩岩相
蒙特卡罗抽样
log face, Markov chain, transition probability, volcanic lithofacies, Monte-Carlo sampling
作者简介
王志文，女，1984年生，研究生，研究方向为地球探测信息与技术。
