石油与天然气地质 ›› 2021, Vol. 42 ›› Issue (5): 1124-1135.doi: 10.11743/ogg20210510

• 油气地质 • 上一篇    下一篇

鄂尔多斯盆地南部彬长区块上石盒子组7段储层识别与预测

刘玲1(), 王琳霖1, 吴疆1, 陈霞1, 杨佳奇2   

  1. 1. 中国石化 石油勘探开发研究院, 北京 100083
    2. 中国地质大学(北京) 能源学院, 北京 100083
  • 收稿日期:2021-03-02 出版日期:2021-10-28 发布日期:2021-10-26
  • 作者简介:刘玲(1984-), 女, 高级工程师, 地震沉积、油气储层表征与评价.E-mail: liuling6203203@163.com
  • 基金资助:
    中国石化科技部重点攻关项目(P20062-4);中国石化科技部重点攻关项目(P19022-2)

Reservoir identification and prediction of He 7 Member in Binchang block, southern Ordos Basin

Ling Liu1(), Linlin Wang1, Jiang Wu1, Xia Chen1, Jiaqi Yang2   

  1. 1. Petroleum Exploration and Production Research Institute, SINOPEC, Beijing 100083, China
    2. School of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, China
  • Received:2021-03-02 Online:2021-10-28 Published:2021-10-26

摘要:

鄂尔多斯盆地南部彬长区块上古生界上石盒子组7段(盒7段)是新的天然气勘探层系,但储层薄、岩性变化快、非均质性强、地震资料信噪比及分辨率低,储层预测及勘探目标优选难度大,严重制约了勘探进展。为了准确预测甜点储层,提高天然气勘探成功率,针对彬长区块盒7段储层特征,采用“结构、属性、反演”逐级预测技术:在砂岩地震反射结构及敏感弹性参数分析基础上,通过频率域反射结构神经网络波形聚类有效刻画了河道外形,贝叶斯随机反演准确预测了砂体厚度,含气性预测指明了甜点储层发育部位。研究结果表明:古地貌影响着砂体的平面展布,彬长区块上古生界盒7段主要在工区西部发育4条南西-北东向条带状展布的河道砂体,为勘探有利区,东部河道砂体孤立状零星分布。通过该方法指导部署的勘探开发目标实钻效果好,地震预测结果横向分辨率高,真实地反映了河道及河道砂体的变化特征,能有效解决研究区强非均质性薄储层致密砂岩甜点预测问题,对下一步的勘探开发具有重要的指导意义。

关键词: 反射结构, 频率域, 反射结构, 神经网络波形聚类, 贝叶斯随机反演, 含气性预测, 储层识别, 盒7段, 彬长区块, 鄂尔多斯盆地

Abstract:

The 7th member of Upper Palaeozoic Shihezi Formation (He 7 Member), is a new favorable play for gas exploration in Binchang block, southern Ordos Basin.However, the reservoir prediction and selection of exploration targets therein have become quite hard given multiple factors including thin reservoir, rapid change of lithology, strong heterogeneity, and low signal-to-noise ratio and resolution.The exploration progress, thus, has been severely restricted.The study aims to improve the accuracy of sweet spot prediction and the success rate of natural gas exploration in the study area.A progressive prediction technique from "configuration, attribute to inversion" is proposed regarding reservoir characteristics therein.The results indicate that the internal reflection configuration of intervals with well-developed sand bodies is defined through seismic response characteristic analysis together with seismic forward modeling, the sensitive elastic parameters of sand bodies are clarified by petrophysical analysis; the channel shapes are characterized effectively by neural network clustering of reflection configuration in frequency domain; and the sand body thickness is predicted accurately with Bayesian stochastic inversion.Moreover, the sweet spots in the reservoir are identified by gas-bearing potential prediction.Under the influence of paleogeomorphology, there are a total of 4 SW-NE-striking channel sand bodies of strip-shaped distribution identified in the Upper Palaeozoic He 7 Member in the south of Binchang block, which are the favorable play fairways in exploration.While the channel sand bodies to the east are in isolated and scattered distribution.In practice, the targets selected under the guidance of the technique are proved to be high in quality by drilling.The lateral resolution of seismic prediction is high, serving for reflecting the change features of the channels and channel sand bodies truthfully.The sweet spot prediction in tight and thin sandstone reservoirs of strong heterogeneity can, thereby, be solved effectively, which is of guiding significance to future exploration and development.

Key words: reflection configuration, neural network waveform clustering in frequency domain, Bayesian stochastic inversion, gas-bearing potential prediction, He 7 Member, Binchang block

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