相控叠前地质统计学反演方法在低渗油藏优质储层预测中的应用——以A区沙三段3亚段V油组为例

赵宝银; 张明

doi:10.13809/j.cnki.cn32-1825/te.2022.04.015

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相控叠前地质统计学反演方法在低渗油藏优质储层预测中的应用——以A区沙三段3亚段V油组为例

综合研究 | 更新时间：2025-12-05

- 相控叠前地质统计学反演方法在低渗油藏优质储层预测中的应用——以A区沙三段3亚段V油组为例
- Application of facies-controlled prestack geostatistical inversion method in high quality reservoir prediction of low permeability reservoir: A case study of V Oil Formation of Es₃³ in Block A
- 油气藏评价与开发 2022年第4期页码：666-676
- 作者机构：
  
  中国石油冀东油田分公司勘探开发研究院,河北,唐山,063004
- 作者简介：
  
  [ "赵宝银（1968—）,男,本科,高级工程师,主要从事地震资料处理解释、地震地质综合研究。地址：河北省唐山市新华道明光西里,邮政编码：063004。E-mail： zhaoby_jd@petrochina.com.cn" ]
- 基金信息：
  
  中国石油冀东油田公司重大项目“低渗透油藏效益开发专项工程研究”(KF2018A05)
- DOI：10.13809/j.cnki.cn32-1825/te.2022.04.015
  中图分类号： 618.13;P628.2
- 纸质出版：2022
- 稿件说明：
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赵宝银, 张明. 相控叠前地质统计学反演方法在低渗油藏优质储层预测中的应用——以A区沙三段3亚段V油组为例[J]. 油气藏评价与开发, 2022,(4):666-676.

ZHAO Baoyin, ZHANG Ming. Application of facies-controlled prestack geostatistical inversion method in high quality reservoir prediction of low permeability reservoir: A case study of V Oil Formation of Es₃³ in Block A[J]. Petroleum Reservoir Evaluation and Development, 2022, (4): 666-676.
赵宝银, 张明. 相控叠前地质统计学反演方法在低渗油藏优质储层预测中的应用——以A区沙三段3亚段V油组为例[J]. 油气藏评价与开发, 2022,(4):666-676. DOI： 10.13809/j.cnki.cn32-1825/te.2022.04.015.

ZHAO Baoyin, ZHANG Ming. Application of facies-controlled prestack geostatistical inversion method in high quality reservoir prediction of low permeability reservoir: A case study of V Oil Formation of Es₃³ in Block A[J]. Petroleum Reservoir Evaluation and Development, 2022, (4): 666-676. DOI： 10.13809/j.cnki.cn32-1825/te.2022.04.015.

摘要

针对A区沙三段3亚段V油组低渗油藏优质储层预测难点，首先开展了叠前道集资料剩余速度分析、拉平处理及去噪等优化处理工作，提升了资料的品质；随后开展了测井地层评价、岩石物理建模和弹性曲线正演，优选出岩性、物性敏感参数，明确了联合应用纵横波速度比（V

）和纵波阻抗(C

PIMP

)两种弹性参数可对优质储层进行识别；再开展了叠前反演数据准备、相控方案设计、无井模拟定变差和变程优化等工作，建立了一套基于相控叠前地质统计学反演的低渗油藏优质储层综合预测方法。该方法得到的反演结果不但提高了储层预测精度，而且更加符合地质规律。预测结果能够有效地反映低渗油藏优质储层的展布，部署水平井2口，取得了较好的应用效果。

Abstract

In order to solve the difficulties in prediction of high-quality reservoirs in low-permeability V Oil Formation of E

sub member in Block A

the residual velocity analysis

flattening and denoising of prestack gather data are carried out to improve the quality of data. Subsequently

well logging formation evaluation

petrophysical modeling and elastic curve forward modeling are carried out

lithology and physical property sensitive parameters are optimized

and it is clear that

the combined application of two elastic parameters of speed ratio of P and S waves（

） and vertical wave impedance（

PIMP

） could identify high-quality reservoirs. Then

the prestack inversion data preparation

facies control scheme design

well free simulation constant variation and variable range optimization are carried out

and a set of comprehensive prediction method for high-quality reservoirs in low-permeability reservoirs based on facies controlled pre stack geostatistics inversion is established. The inversion results obtained by this method not only improve the accuracy of reservoir prediction

but also are more in line with the geological law. The prediction results can effectively reflect the distribution of high-quality reservoirs in low-permeability reservoirs. Two horizontal wells have been deployed and good application results have been achieved.

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