摘要
地质统计学反演基于地质统计学方法,综合利用地震、测井数据和地质认识,对储层的空间分布特征进行模拟,预测储层分布规律。通过四川盆地L地区气田开发实践,总结出以地质统计学反演为核心,且适用于四川盆地须家河组非均质构造~岩性复合式气藏的反演路线,在叠后约束稀疏脉冲确定性反演的基础上,由阻抗数据作为约束条件进行储层参数随机模拟,进而进行有利储层预测。结果表明,该方法具有测井数据的垂向分辨率高和地震数据的横向分辨率高的优势,对于识别非均质砂泥岩薄互型储层效果较好。
The technique of geostatistical inversion for reservoir prediction is based on geostatistics,and it combines seismic,geologic and logging data to simulate spatial distribution of reservoirs and predict the distribution of reservoirs.Through the gas field development of L area in Sichuan Basin,the paper generalizes a inversion route which is based on geostatistics inversion and is suitable for heterogeneous structural-lithological composite gas reservoir of Xujia river in Sichuan basin.It is based on the post-stack restrict sparse pulse deterministic inversion and proceed stochastic simulation of reservoir parameters which takes wave impedance data as the restriction condition and then predict beneficial reservoirs.The result shows that this method have the advantage of both high vertical resolution based on logging data and high horizontal resolution based on seismic data and is very helpful for identifying heterogeneous thin inter-bedded sand and shale reservoir.
出处
《物探化探计算技术》
CAS
CSCD
2010年第3期310-315,223,共6页
Computing Techniques For Geophysical and Geochemical Exploration
关键词
随机模拟
四川盆地
地质统计学反演
储层预测
geostatistical inversion
Sichuan basin
stochastic simulation
reservoir prediction