资源与产业 ›› 2016, Vol. 18 ›› Issue (4): 43-52.DOI: 10.13776/j.cnki.resourcesindustries.2016.04.016

• 资源开发 • 上一篇    下一篇

储层反演精准度提高方法研究:以歧口凹陷南缘埕北低断阶沙二段为例

毛丽华,李军,李峰峰   

  1. (1中国地质大学能源学院,北京100083; 2中国石油勘探开发研究院,北京100083)
  • 收稿日期:2016-04-26 修回日期:2016-06-10 出版日期:2016-09-10 发布日期:2016-09-10
  • 基金资助:

    中国石油天然气股份有限公司重大专项(2012E-06)

APPROACHES TO IMPROVING RESERVOIR I NVERSION ACCURACY: A CASE STUDY ON SHA'ER MEMBER OF CHENGBEI LOW STEP FAULT ZONE OF SOUTHERN QIKOU SAG

Mao Lihua, Li Jun, Li Fengfeng   

  1. (1.School of Energy, China University of Geosciences, Beijing 100083, China;  2.PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China)
  • Received:2016-04-26 Revised:2016-06-10 Online:2016-09-10 Published:2016-09-10

摘要:

歧口凹陷南缘埕北低断阶沙二段为辫状河三角洲前缘沉积环境,储层厚度薄,井间砂体展布复杂。为了提高砂体刻画的准确性,采用确定性约束稀疏脉冲反演与随机性地质统计学反演相协同的方法,在有效刻画砂体平面展布趋势的基础上,利用高分辨率测井数据提高纵向砂体识别度。反演过程中对重要参数进行优化,利用岩石的物理特性进行分析,优选伽马和声波曲线进行拟声波曲线重构;根据地震反射特征及沉积环境差异,采用“多类子波提取,多重精细标定”方法进行子波提取与层位标定;明确不同层段砂泥岩结构,选取合适变差函数模型进行拟合获得砂体空间分布参数。反演结果表明,协同反演结合参数优化能降低储层预测多解性并提高反演精准度,是实现薄储层精细预测的有效手段。

关键词: 协同反演, 储层预测, 曲线重构, 多类子波提取, 变差函数分析

Abstract:

The Sha'er Member of Chengbei low step fault zone of southern Qikou Sag is braided river delta frontier sedimentation with thin reservoir and complicated sand bodies occurrence. To have a more precise description of sand bodies' dimension, this paper uses deterministic constrained sparse spike inversion and stochastic geostatistics to study the plan distribution of sand bodies, and applies high solution loggings to mark their vertical dimension by using optimized inversion parameters. Rock's properties are analyzed; gamma and sonic curve are used to reconstruct sonic curve. According to seismic data and sedimentary environment, multiple wavelet extraction and multiple fine calibration are used to recognize its sandmud structure. Appropriate variogram model is selected to simulate the spatial distribution of sand bodies. The inversion results combined with optimized parameters can increase the precision while reducing the uncertainty in predicting; it is an effective way in predicting the thin reservoir.

Key words: coinversion, reservoir prediction, curve reconstruction, multiple wavelet extraction, variogram analysis