油藏工程

基于测井曲线考虑纵向级差的海上重质油油藏产能预测新方法

  • 冯沙沙 ,
  • 王坤 ,
  • 谢明英 ,
  • 李黎 ,
  • 王丹翎
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  • 中海石油(中国)有限公司深圳分公司,广东 深圳 518000
冯沙沙(1986—),男,高级工程师,2010年毕业于长江大学石油工程专业,2013年毕业于中国石油大学(北京)石油与天然气工程专业,获硕士学位,现从事油田开发研究与管理工作。
王坤(1988—),男,高级工程师,2010年毕业于长江大学石油工程专业,2013年毕业于西南石油大学油气田开发专业,获硕士学位,现从事油田开发与油藏工程研究工作。

收稿日期: 2023-02-23

  修回日期: 2024-01-15

  网络出版日期: 2024-07-26

基金资助

中海油重大科技专项“南海东部油田上产2000万吨关键技术研究”(CNOOC-KJ 135 ZDXM37 SZ);中海石油(中国)有限公司综合科研项目“恩平18区疏松砂岩稠油油藏有效开发技术”(YXKY 2019 SZ 01)

A New Method for Productivity Prediction of Offshore Heavy Oil Reservoirs Based on Logging Curves Considering Longitudinal Permeability Ratio

  • Feng Shasha ,
  • Wang Kun ,
  • Xie Mingying ,
  • Li Li ,
  • Wang Danling
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  • CNOOC China Limited, Shenzhen branch, Shenzhen, Guangdong 518000, China

Received date: 2023-02-23

  Revised date: 2024-01-15

  Online published: 2024-07-26

摘要

针对重质油油藏定向井多层合采的设计产能与实际误差较大的问题,以南海东部PY10-2油田为例,开展了重质油油藏渗流特征合理表征研究,为更精细表征该类油藏纵向强非均质性,基于测井曲线考虑纵向级差,建立了综合考虑重质油幂律流体、纵向非均质性、启动压力和应力敏感多因素影响的产能模型及评价方法,在实际油田产能评价方面取得较好的效果。研究结果表明:该预测模型与传统方法相比预测精度得到较大提高,预测的产能平均误差小于10.0%;随幂律指数减小,定向井产能将会降低;井底流压降低,幂律指数对产能的影响程度增大;定向井生产压差增大,采油指数增幅减小。该研究对于海上同类油藏合理产能评价具有重要意义。

本文引用格式

冯沙沙 , 王坤 , 谢明英 , 李黎 , 王丹翎 . 基于测井曲线考虑纵向级差的海上重质油油藏产能预测新方法[J]. 特种油气藏, 2024 , 31(2) : 136 -142 . DOI: 10.3969/j.issn.1006-6535.2024.02.016

Abstract

There are large errors between the designed productivity and the actual productivity of directional wells in heavy oil reservoirs with multi-layer combined production. Taking PY10-2 Oilfield in the eastern part of the South China Sea as an example, a reasonable characterization study of flow characteristics of heavy oil reservoirs was carried out. Based on logging curves considering the longitudinal permeability ratio, a productivity model and evaluation method were developed that integrated the influences of factors such as the power-law of heavy oil fluid, longitudinal heterogeneity, start-up pressure, and stress-sensitivity to characterize the strong longitudinal heterogeneity in such reservoirs finely. Good results were achieved in the evaluation of actual oilfield productivity. The research results show that the prediction accuracy of this model is dramatically improved compared with the traditional method, and the average errors of the predicted productivity are less than 10.0%. The productivity of directional wells decreases with the decrease of the power law exponent; the influence of the power-law index on the production capacity increases when the bottom hole flow pressure decreases; the increase in productivity index decreases when the producing pressure drop of the directional wells rises. This study is of great significance for evaluating the reasonable productivity of similar offshore reservoirs.

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