西南石油大学学报(自然科学版) ›› 2020, Vol. 42 ›› Issue (6): 49-55.DOI: 10.11885/j.issn.1674-5086.2020.06.08.02

• 油气田人工智能技术与应用专刊 • 上一篇    下一篇

数据驱动建立地层原油黏度计算新方法

张利军1,2, 王帅2, 郑伟1,2   

  1. 1. 海洋石油高效开发国家重点实验室, 北京 朝阳 100028;
    2. 中海油研究总院有限责任公司, 北京 朝阳 100028
  • 收稿日期:2020-06-08 发布日期:2020-12-21
  • 通讯作者: 张利军,E-mail:zhanglj8@cnooc.com.cn
  • 作者简介:张利军,1983年生,男,汉族,河北张家口人,高级工程师,硕士,主要从事海上油气田开发方案研究。E-mail:zhanglj8@cnooc.com.cn;王帅,1986年生,女,汉族,黑龙江双鸭山人,工程师,硕士,主要从事海上气田开发等方面的研究工作。E-mail:wangshuai19@cnooc.com.cn;郑伟,1984年生,男,汉族,山东五莲人,高级工程师,博士,主要从事海上稠油热采及油气田开发方案编制研究工作。E-mail:weizheng_0601@163.com
  • 基金资助:
    国家科技重大专项(2016ZX05025-004)

Establishment of a New Method for Viscosity Calculation of Crude Oil by Data Analysis

ZHANG Lijun1,2, WANG Shuai2, ZHENG Wei1,2   

  1. 1. State Key Laboratory of Offshore Oil Exploitation, Chaoyang, Beijing 100028, China;
    2. CNOOC Research Institute Co. Ltd., Chaoyang, Beijing 100028, China
  • Received:2020-06-08 Published:2020-12-21

摘要: 针对海上勘探评价阶段稠油油田地层流体取样少或无取样的问题,通过对大量渤海地区已取样稠油流体数据统计,应用数据矩阵分析探寻影响地层原油黏度的主控因素及不同参数与地层原油黏度的关系,采用非线性回归建立地层原油黏度与其他参数之间关系的经验公式,同时建立不同参数条件的地层原油黏度与地面密度的取值图版。新经验公式计算的地层原油黏度与实测地层原油黏度平均误差5.6%,同时应用经验公式和原油黏度确定综合图版对某海上稠油流体性质进行分析,两种方法研究结果相当,说明新方法的可靠性。基于数据驱动建立的地层原油黏度公式和图版成果可解决海上稠油油田地层流体取样少或无取样的问题,为油田开发方案编制、开发方式选择、采收率预测、平台设施设计及原油输送提供重要参考依据。

关键词: 稠油, 地层原油黏度, 非线性回归, 矩阵分析, 地面原油密度

Abstract: Aiming at the problem that there is little or no sampling of formation fluid in heavy oil fields in the stage of offshore exploration and evaluation, through the statistics of a large number of sampled heavy oil fluid in bohai sea area, data matrix analysis was used to explore the main control factors affecting formation crude oil viscosity and the relationship between different parameters and formation crude oil viscosity. The empirical formula of formation crude oil viscosity and other parameters is established by nonlinear regression, and the value chart of formation crude oil viscosity and surface density under different parameters is also established. The mean error between the viscosity of formation crude oil calculated by the new empirical formula and the measured viscosity of formation crude oil is 5.6%; the empirical formula and chart are applied to quality control of the fluid properties of a certain offshore heavy oil, and the results of the two methods are equivalent, indicating the reliability of the methods. The viscosity formula and chart of formation crude oil based on data driven can solve the problem of little or no sampling of formation fluid in offshore heavy oil field, and provide important reference for the oilfield development plan, development mode selection, recovery rate prediction, platform facilities design and crude oil transportation.

Key words: heavy oil, formation crude oil viscosity, nonlinear regression, matrix analysis, surface oil density

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