综合研究

JI-FI反演技术在薄砂岩储层预测中的应用——以XH地区K1bs3上部储层为例

  • 梁宏刚 ,
  • 邓锋 ,
  • 马洪涛 ,
  • 孙力 ,
  • 丁辉 ,
  • 杨俊英
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  • 1.中国石化西北油田分公司勘探开发研究院,新疆 乌鲁木齐830011
    2.阿派斯油藏技术(北京)有限公司,北京 100016
梁宏刚(1983—),男,硕士,高级工程师,从事石油天然气勘探开发工作。地址:新疆乌鲁木齐市新市区长春南路466号中国石化西北油田分公司勘探开发研究院,邮政编码:830011。E-mail:871458557@qq.com

收稿日期: 2021-08-04

  网络出版日期: 2022-12-02

Application of JI-FI inversion technology to prediction of thin sandstone reservoir: A case study of K1bs 3 upper thin sandstone reservoir in XH area

  • Honggang LIANG ,
  • Feng DENG ,
  • Hongtao MA ,
  • Li SUN ,
  • Hui DING ,
  • Junying YANG
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  • 1. Research Institute of Exploration and Development, Sinopec Northwest Oilfield Company, Urumqi, Xinjiang 830011, China
    2. APEX Reservoir Service Inc., Beijing 100016, China

Received date: 2021-08-04

  Online published: 2022-12-02

摘要

XH地区K1bs3上部发育的三角洲前缘薄砂岩储层是构造—岩性油气藏勘探的重要领域。近年来在该区应用常规波阻抗、叠前确定性反演都无法准确预测目的层薄砂岩储层的分布。应用JI-FI(阻抗与相联合反演技术),利用叠前地震道集数据,在不同岩相/流体相的纵波、横波速度和密度深度趋势约束下,将同时反演与贝叶斯分类相结合,采用最大期望算法,对阻抗和相进行迭代,实现了目标区岩相/流体相及岩石物理性质(纵波阻抗、横波阻抗、密度及纵横波速度比等)的定量预测。该方法克服了常规叠前反演依赖井建立低频模型,特别是在井少、薄互层地质条件下,井间波阻抗内插存在不确定性问题。储层预测结果与井吻合度高,为该区岩性勘探及井位部署提供了依据。

本文引用格式

梁宏刚 , 邓锋 , 马洪涛 , 孙力 , 丁辉 , 杨俊英 . JI-FI反演技术在薄砂岩储层预测中的应用——以XH地区K1bs3上部储层为例[J]. 油气藏评价与开发, 2022 , 12(6) : 910 -917 . DOI: 10.13809/j.cnki.cn32-1825/te.2022.06.010

Abstract

The thin sandstone reservoir in the delta front developed in the upper part of the K1bs3 formation is an important area for the exploration of structural-lithological oil and gas reservoirs in the XH area. In recent years, Application of P-impedance and pre-stack deterministic inversion could not accurately predict the distribution of thin sandstone reservoirs in the target layer. In this paper, joint impedance and facies inversion(JI-FI) impedance and facies joint inversion technology is used. This technique uses pre-stack seismic gather data, and combines simultaneous inversion and Bayesian classification under the constraints of the P-wave, S-wave velocity and density depth trend of each lithofacies or fluid facies, the maximum expectation algorithm is used to iterate the impedance and facies, and the quantitative prediction of lithofacies/fluid facies and petrophysical properties (such as P-wave, shear wave impedance, density, Vp/Vs, etc.) in the target area is achieved. This method overcomes the uncertainty of inter-well P-impedance interpolation when conventional pre-stack inversion relies on wells to establish low-frequency models, especially under geological conditions with few wells and thin interbeds. The reservoir prediction results are in good agreement with the well, which provides a basis for lithological exploration and well location deployment in this area.

参考文献

[1] 印兴耀, 曹丹平, 王保丽, 等. 基于叠前地震反演的流体识别方法研究进展[J]. 石油地球物理勘探, 2014, 49(1): 22-34.
[1] YIN Xingyao, CAO Danping, WANG Baoli, et al. Research progress of fluid discrimination with pre-stack seismic inversion[J]. Oil Geophysical Prospecting, 2014, 49(1): 22-34.
[2] 宗兆云, 印兴耀, 张峰, 等. 杨氏模量和泊松比反射系数近似方程及叠前地震反演[J]. 地球物理学报, 2012, 55(11): 3786-3794.
[2] ZONG Zhaoyun, YIN Xingyao, ZHANG Feng, et al. Reflection coefficient equation and pre-stack seismic inversion with Young's modulus and Poisson ratio[J]. Chinese Journal of Geophysics, 2012, 55(11): 3786-3794.
[3] 张凌远, 张宏兵, 尚作萍, 等. 基于Zoeppritz方程的叠前和叠后混合多参数非线性地震反演[J]. 石油地球物理勘探, 2021, 56(1): 164-171.
[3] ZHANG Lingyuan, ZHANG Hongbing, SHANG Zuoping, et al. Nonlinear multi-parameter hybrid inversion of pre-stack and post-stack seismic data based on Zoeppritz equation[J]. Oil Geophysical Prospecting, 2021, 56(1): 164-171.
[4] 李坤, 印兴耀. 混合概率模型驱动的叠前地震反演方法[J]. 石油地球物理勘探, 2020, 55(4): 839-853.
[4] LI Kun, YIN Xingyao. Prestack seismic inversion driven by mixture probabilistic models[J]. Oil Geophysical Prospecting, 2020, 55(4): 839-853.
[5] 杨文采. 地球物理反演的理论与方法[M]. 北京: 地质出版社, 1997.
[5] YANG Wencai. Geophysical inversion theory and method[M]. Beijing: Geological Publishing Press, 1997.
[6] VIRIEUX J, OPERTO S. An overview of full-waveform inversion in exploration geophysics[J]. Geophysics, 2009, 74(6): WCC1-WCC26.
[7] TARANTOLA A, VALETTE B. Generalized nonlinear inverse problems solved using the least squares criterion[J]. Review of Geophysics, 1982, 20(2): 219-232.
[8] BAE H S, PYUN S, CHUNG W, et al. Frequency domain acoustic elastic coupled waveform inversion using the Gauss Newton conjugate gradient method[J]. Geophysical Prospecting, 2012, 60(3): 413-432.
[9] 姚姚. 地球物理非线性反演模拟退火法的改进[J]. 地球物理学报, 1995, 38(5): 643-650.
[9] YAO Yao. Improvement of simulated annealing method to apply Nonlinear geophysical inversion[J]. Journal of Geophysics, 1995, 38(5): 643-650.
[10] 张霖斌, 姚振兴, 纪晨, 等. 快速模拟退火算法及应用[J]. 石油地球物理勘探, 1997, 32(5): 645-660.
[10] ZHANG Linbin, YAO Zhenxing, JI Chen, et al. Fast simulated annealing algorithm and its application[J]. Oil Geophysical Prospecting, 1997, 32(5): 645-660.
[11] ZHANG H, SHANG Z, YANG C. A non-linear regularized constrained impedance inversion[J]. Geophysical Prospecting, 2007, 55(6): 819-833.
[12] CHIAPPA F, MAZZOTTI A. Estimation of petrophysical parameters by linearized inversion of angle domain pre-stack data[J]. Geophysical Prospecting, 2009, 57(3): 413-426.
[13] DOWNTON J E. Seismic parameter Estimation from AVO inversion[D]. Canada: University of Calgary, 2005.
[14] KEMPER M, SOMOZA A. Rock physics driven joint inversion to facies and impedances[C]// Paper SEG-2014- 0124 presented at the 2014 SEG Annual Metting, Denver, Colorado, USA, October 2014.
[15] KHOURY P E, NAEINI E Z, DAVIS T L. Quantitative interpretation using facies-based inversion applied to the Ordovician Red River U4 dolomite interval, Williston basin[C]// Paper SEG-2018- 2987218 presented at the SEG International Exposition and Annual Meeting, Anaheim, California, USA, October 2018.
[16] SAMS M, WESTLAKE S, THORP J, et al. Willem 3D: Reprocessed, inverted[J]. Leading Edge, 2015, 35(1): 22-26.
[17] EHSAN Z N, RUSSELL E. Quantitative interpretation using facies-based seismic inversion[C]// Paper SEG-2016- 13709660 presented at the 2016 SEG International Exposition and Annual Metting, Dallas, Texas, October 2016.
[18] SOMOZA A V, WATERS K, KEMPER M. Improved seismic inversion and facies using regional rock physics trends: case study from central north sea[C]// Third EAGE Workshop on Rock Physics, Istanbul, Turkey, November 2015.
[19] KEMPER M, GUNNING J. Joint impedance and Facies inversion: Seismic inversion redefined[J]. First Break, 2014, 32: 89-95.
[20] 田玉昆, 周辉, 袁三一. 基于马尔科夫随机场的岩性识别方法[J]. 地球物理学报, 2013, 56(4): 1360-1368.
[20] TIAN Yukun, ZHOU Hui, YUAN Sanyi. Lithology identification method based on Markov random field[J]. Geophysics, 2013, 56(4): 1360-1368.
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