特种油气藏 ›› 2020, Vol. 27 ›› Issue (4): 85-91.DOI: 10.3969/j.issn.1006-6535.2020.04.013

• 油藏工程 • 上一篇    下一篇

注采连通关系计算方法的改进及在配注中的应用

贾鹿1, 石国伟1, 石峰1, 蓝海刚1, 吉兰敏2   

  1. 1.中国石油新疆油田分公司,新疆 克拉玛依 834000;
    2.哈里伯顿北京奥伯特石油科技有限公司,北京 100084
  • 收稿日期:2019-12-16 修回日期:2020-04-22 出版日期:2020-08-25 发布日期:2022-02-18
  • 作者简介:贾鹿(1979—),男,高级工程师,2003年毕业于西安工业大学计算机科学与技术专业,2011年毕业于俄罗斯圣彼得堡国立技术大学信息测量与控制专业,获博士学位,现从事油田信息规划及大数据分析研究工作。
  • 基金资助:
    国家科技重大专项“低丰度致密油气藏开发关键技术”(2016ZX05048)

Improvement of Injection-Production Connectivity Calculation and Its Application in Injection Allocation

Jia Lu1, Shi Guowei1, Shi Feng1, Lan Haigang1, Ji Lanmin2   

  1. 1. PetroChina Xinjiang Oilfield Company,Karamay,Xinjiang 834000,China;
    2. Halliburton Beijing Obert Oil Technology Co., Ltd., Beijing 100084, China
  • Received:2019-12-16 Revised:2020-04-22 Online:2020-08-25 Published:2022-02-18

摘要: 针对注水开发油田油水井注采连通关系和见效比例等关键信息难以量化分析的问题,通过对现有注采连通关系计算方法的融合与改进,提出了一种考虑井底流压变化的多元线性回归注采连通关系分析模型,能更准确地反映油井产量变化规律,从而得到更符合生产实际的注采连通关系量化分析结果。在此基础上,将其与井组配注模型相结合,有效解决了油田配注工作中注采见效关系与见效比例确定难、人工分析工作量大等问题,实现了井组配注量的快速、准确计算。通过在新疆油田的实际应用,该模型得到了很好地验证,分析结果准确性显著提升。该研究可有效提高油田注采调配方案设计的效率与科学性,对于实现油田智能调配具有较好的促进作用,可为同类油藏的开发提供借鉴。

关键词: 注采连通关系, 配注, 注水油田, 多元线性回归

Abstract: In order to quantitatively characterize the injection-production connectivity, response ratio and other key information in the waterflooding oilfield, a multiple linear regression analysis model considering variable bottom-hole flowing pressure was proposed by integrating and improving the available calculation methods for injection-production connectivity. The oil production performance can be favorably characterized by this new model to obtain a quantitative and reliable analysis for the injection-production connectivity. The injection-production response and ratio were determined and the manual analysis was significantly reduced by combining with wellgroup injection allocation model. This model had been verified by a field application in Xinjiang Oilfield, and the corresponding accuracy had been significantly improved. This research could effectively improve the efficiency and scientificity of oilfield injection-production deployment program design and promote intelligent oilfield deployment and adjustment, which could provide certain reference for the development of similar reservoirs.

Key words: injection-production connectivity, injection allocation, waterflooding oilfield, multiple linear regression

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