| 苏5区块东部地区高精度气水识别技术 |
| |
| 引用本文： | 熊晓军,袁野,张本健,黄劲,陈容,侯秋平.苏5区块东部地区高精度气水识别技术[J].物探化探计算技术,2019(4):503-509. |
| |
| 作者姓名： | 熊晓军 袁野 张本健 黄劲 陈容 侯秋平 |
| |
| 作者单位： | 油气藏地质及开发工程国家重点实验室成都理工大学;中国石油西南油气田分公司川西北气矿 |
| |
| 基金项目： | 国家自然科学基金项目(41274130) |
| |
| 摘 要： | 针对苏里格气田的储层非均质性强且气水关系复杂等难点,提出一套适用于苏里格气田苏5区块的高精度气水识别技术,该技术遵循“先找砂体、再找储层、后气水识别”的思路,基于三维地震资料叠前时间偏移处理数据体,综合运用高精度叠后GR随机反演方法、基于等效弹性模量反演的横波速度估算方法、扩展的弹性阻抗反演方法、组合流体因子构建方法等,有效地凸显了气层、气水层与干层或微气层之间的差异。通过对研究区盒8段的37口实钻井的过井剖面特征进行统计分析,获得了气层、气水层与干层或微气层的判别准则,与实钻井的符合率达到83%,可以有效地用于研究区的气水识别,具有重要的理论和实际应用推广价值。
|
| 关 键 词： | 苏里格气田 气水识别 GR反演 弹性反演 |
High precision gas-water identification method for the east of block Su-5 |
| |
| XIONG Xiaojun,YUAN Ye,ZHANG Benjian,HUANG Jin,CHEN Rong,HOU Qiuping.High precision gas-water identification method for the east of block Su-5[J].Computing Techniques For Geophysical and Geochemical Exploration,2019(4):503-509. |
| |
| Authors: | XIONG Xiaojun YUAN Ye ZHANG Benjian HUANG Jin CHEN Rong HOU Qiuping |
| |
| Institution: | (Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology,Chengdu 610059,China;Sichuan Northwest Gas Mine of Southwest Oil and Gas Field Branch,PetroChina,Jiangyou Sichuan 621700,China) |
| |
| Abstract: | This paper proposes a high precision gas-water identification method for the reservoir of blocks Su-5 in Sulige gas field.This method follow the steps that firstly seek the sandstone,then find the effective reservoir,and identify gas and water at last.Based on prestack time migration 3D seismic date,this paper use several methods including random inversion,equivalent bulk modulus inversion,EEI inversion and construction of fluid factor to effectively highlight the criteria of gas-layer,gas-water layer,dry layer and low-gas layer.Comparing with the real drilling well,the coincidence rate reach 83%.So this method can be effectively used to identify gas and water and has practical application and popularization value. |
| |
| Keywords: | Sulige gas field gas-water identification GR inversion EEIinversion |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
