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物探与化探  2022, Vol. 46 Issue (3): 645-652    DOI: 10.11720/wtyht.2022.2581
  地质调查·资源勘查 本期目录 | 过刊浏览 | 高级检索 |
基于叠前同时反演的致密砂岩储层预测及含气性识别——以苏里格S区块为例
张德明(), 刘志刚, 臧殿光, 廖显锋, 刘志毅, 刘国宝
东方地球物理有限责任公司 西南物探研究院,四川 成都 610036
Prediction and identification of gas-bearing properties of tight sandstone reservoirs through simultaneous pre-stack inversion:A case study of block S in Sulige gas field
ZHANG De-Ming(), LIU Zhi-Gang, ZANG Dian-Guang, LIAO Xian-Feng, LIU Zhi-Yi, LIU Guo-Bao
Southwest Institute of Geophysical Exploration,BGP Inc.,China National Petroleum Corporation,Chengdu 610036,China
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摘要 

苏里格S区块储层与围岩阻抗差异小、气水关系复杂,叠后纵波阻抗反演方法难以区分优质储层,通过研究区岩石物理分析可知,叠前参数纵横波比可以有效区分岩性和含气性。本文首先进行模型正演确定储层地震响应特征;然后通过适用于砂泥岩的Xu-White模型进行岩石物理建模及横波预测,建立岩石物理模板;其次采取线性去噪、剩余振幅补偿等处理方法对CRP道集进行优化;最后通过叠前同时反演定量预测储层厚度及含气性。结果表明:①储层顶界的地震反射特征为强波谷反射,底界反射不明显;②纵横波比小于1.68可有效划分砂岩,联合纵波阻抗小于12 200 g·cm-3·m·s-1预测储层,再由更低的纵横波比小于1.57识别含气性;③储层展布特征与含气性预测范围趋势相似,但在局部上存在差异,储层发育程度与其含气性不一定呈正相关。本文所提方法期望为下一步圈定有利含气储层面积及井位部署提供有力的技术支撑。

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张德明
刘志刚
臧殿光
廖显锋
刘志毅
刘国宝
关键词 模型正演横波预测岩石物理建模道集优化叠前同时反演    
Abstract

Owing to the small impedance difference with surrounding rock and complex gas-water relationships,it is difficult to identify high-quality reservoirs in block S in the Sulige gas field through the post-stack P-wave impedance inversion.According to the petrophysical analysis of the study area,the pre-stack parameter vp/vs ratio can be used to effectively identify lithology and gas-bearing properties.This study firstly determined the seismic response characteristics of the reservoirs through forward modeling.Secondly,it conducted petrophysical modeling and the prediction of shear-wave velocities using the Xu-White model suitable for sandstone and mudstone and accordingly established a petrophysical model.Thirdly,the CRP gathers were optimized using the processing methods such as linear denoising and residual amplitude compensation.Finally,the thickness and gas-bearing properties of the reservoirs in block S in the Sulige gas field were quantitatively predicted through simultaneous pre-stack inversion.The results are as follows.(1)The top boundary of the reservoirs in the study area shows the seismic reflection characterized by strong trough reflection,while the bottom boundary of the reservoirs shows unapparent seismic reflection;(2)The vp/vs ratio of less than 1.68 can be used to effectively determine sandstone.This combined with the P-wave impedance of less than 12200 g·cm-3 ·m·s-1 can be used to predict the reservoirs in the study area. Moreover, a vp/vs of less than 1.57 can be used to identify the gas-bearing properties;(3)Reservoir distribution and the predicted gas-bearing range have similar trends but differ locally.The development degree of reservoirs is not necessarily positively correlated with the gas content.The method proposed in this paper is expected to provide strong technical support for delineating the favorable gas-bearing reservoir area and deploying well locations in the future.

Key wordsmodel forward modeling    prediction of shear-wave velocities    petrophysical modeling    gather optimization    simultaneous pre-stack inversion
收稿日期: 2020-12-24      修回日期: 2022-01-14      出版日期: 2022-06-20
ZTFLH:  P631  
基金资助:中国石油集团川庆钻探工程有限公司苏里格项目经理部项目“S区块三维地震资料处理解释”(CQZT-SLG-2019-YTGC-021)
作者简介: 张德明(1991-),男,工程师,硕士,现主要从事地震解释与储层预测工作。Email: deming_zhang0724@163.com
引用本文:   
张德明, 刘志刚, 臧殿光, 廖显锋, 刘志毅, 刘国宝. 基于叠前同时反演的致密砂岩储层预测及含气性识别——以苏里格S区块为例[J]. 物探与化探, 2022, 46(3): 645-652.
ZHANG De-Ming, LIU Zhi-Gang, ZANG Dian-Guang, LIAO Xian-Feng, LIU Zhi-Yi, LIU Guo-Bao. Prediction and identification of gas-bearing properties of tight sandstone reservoirs through simultaneous pre-stack inversion:A case study of block S in Sulige gas field. Geophysical and Geochemical Exploration, 2022, 46(3): 645-652.
链接本文:  
https://www.wutanyuhuatan.com/CN/10.11720/wtyht.2022.2581      或      https://www.wutanyuhuatan.com/CN/Y2022/V46/I3/645
Fig.1  储层正演模型
a—储层正演地质模型;b—储层正演结果;c—过W1井地震剖面
Fig.2  叠前同时反演技术流程
参数类别 参数数值
温度 115℃
压力 4060 psi
地层水矿化度 1.106 g/L
砂岩 Kp,sand=3.78e10 N·m-2;s,sand=4.43e10 N·m-2;
ρsand=2.65 g·cm-3;αsand=0.09
泥岩 Kp,sh=3.2e10N·m-2;s,sh=1.05e10N·m-2;
ρsh=2.6 g·cm-3;αsh=0.056
Table 1  岩石物理建模输入参数
Fig.3  W1井预测曲线与实测曲线对比
Fig.4  W2井岩石物理测井响应特征
Fig.5  盒8段各弹性参数交会图及直方图(样本点来自W1、W2、W3井)
a—纵波阻抗与纵横波比交汇区分岩性;b—纵波阻抗与纵横波比交汇区分储层;c—纵波阻抗与孔隙度交汇图;d—纵横波比分布概率直方图;e—泊松比分布概率直方图;f—杨氏模量分布概率直方图
Fig.6  道集优化处理
a—原始道集;b—优化后道集;c—正演道集;d—含气砂岩顶AVO特征
Fig.7  过W1井地震偏移剖面及反演剖面
a—叠前时间偏移地震剖面;b—vp/vs剖面;c—纵波阻抗剖面;d—含气性剖面
Fig.8  盒8下亚段储层厚度(a)及含气性预测(b)
Fig.9  过W6井地震偏移剖面及反演剖面
a—叠前时间偏移地震剖面;b—vp/vs剖面;c—纵波阻抗剖面;d—含气性剖面
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