Journal of Southwest Petroleum University(Science & Technology Edition) ›› 2020, Vol. 42 ›› Issue (6): 49-55.DOI: 10.11885/j.issn.1674-5086.2020.06.08.02

• A Special Issue on Artificial Intelligence Technology & Application in Oil and Gas Fields • Previous Articles     Next Articles

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

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

CLC Number: