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基于密度-孔隙度-自然伽马的储层多参数反演——以苏里格气田为例
引用本文:兰朝利,何顺利,张君峰,门成全. 基于密度-孔隙度-自然伽马的储层多参数反演——以苏里格气田为例[J]. 西安石油大学学报(自然科学版), 2008, 23(1): 37-39
作者姓名:兰朝利  何顺利  张君峰  门成全
作者单位:1. 中国石油大学(北京)石油工程教育部重点实验室,北京,102249
2. 中国石油天然气股份有限公司,北京,100011
基金项目:中国石油天然气集团公司资助项目
摘    要:针对苏里格气田含气砂岩厚度薄、延伸有限及其波阻抗范围与泥岩存在重叠的难题,对苏里格气田储层敏感性地球物理参数进行了分析,选取了密度-孔隙度-自然伽马进行联合反演预测含气砂岩分布,避免了单参数反演的多解性,提高了储层反演的精度.经钻井证实该方法能较好地对苏里格气田含气砂岩进行预测.

关 键 词:储层反演  储层密度  孔隙度  自然伽马测井  苏里格气田
文章编号:1673-064X(2008)01-0037-03
收稿时间:2007-06-14
修稿时间:2007-06-14

Multi-parameter reservoir inversion based on reservoir density, porosity and gamma logging data: taking Sulige Gasfield as an example
LAN Chao-li,HE Shun-li,ZHANG Jun-feng,MEN Cheng-quan. Multi-parameter reservoir inversion based on reservoir density, porosity and gamma logging data: taking Sulige Gasfield as an example[J]. Journal of Xian Shiyou University, 2008, 23(1): 37-39
Authors:LAN Chao-li  HE Shun-li  ZHANG Jun-feng  MEN Cheng-quan
Abstract:The gas-bearing sandstone in Sulige Gasfield has the characteristics of less thickness,limited lateral area and overlap with shale in impedance range,which makes the prediction of gas-bearing sandstone difficult.By the analysis of the sensitive geophysical parameters for Sulige gasfield reservoir,the reservoir density,porosity and gamma logging data are used for the multi-parameter joint inversion to predict the distribution of the gas-bearing sandstone.The inversion method avoids the multiplicity of single-parameter inversion and improves the precision of reservoir inversion.The drilling practice in Sulige gasfield verifies that using the multi-parameter reservoir inversion method can more accurately predict the distribution of the gas-bearing sandstone.
Keywords:reservoir inversion  reservoir density  porosity  gamma-ray logging  Sulige Gasfield
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