Journal of Southwest Petroleum University(Science & Technology Edition) ›› 2025, Vol. 47 ›› Issue (3): 101-111.DOI: 10.11885/j.issn.1674-5086.2023.05.30.01

• OIL AND GAS ENGINEERING • Previous Articles     Next Articles

An Experimental and Numerical Study of In-situ Generated Solvent Assisted SAGD in Heavy Oil Reservoir

CHENG Haiqing1, YANG Simin2, ZHAO Qinghui1, ZAHNG Yong1, SU Lei1   

  1. 1. Research Institute of Exploration and Development, Liaohe Oilfield Company, PetroChina, Panjin, Liaoning 124010, China;
    2. Petroleum Engineering School, Southwest Petroleum University, Chengdu, Sichuan 610500, China
  • Received:2023-05-30 Published:2025-07-11

Abstract: In order to solve the problems of low thermal efficiency and high steam consumption in the middle and late stages of steam injection in heavy oil reservoirs, this study proposes an in-situ generated solvent assisted steam assisted gravity drainage technique. This paper studies the feasibility of this new method through a combination of numerical simulation and physical simulation. By conducting experiments on Liaohe Du84 heavy oil, the mechanism of solvent generation during catalytic crac-king of heavy oil was studied. A reaction kinetics model was established based on reaction kinetics theory, and the mechanism of solvent enhanced SAGD in situ production of heavy oil was studied using numerical simulation methods. The research results indicate that over 5% of heavy oil is in-situ converted into solvents in a steam injection environment through catalytic cracking reaction. The solvent composition includes light hydrocarbons and non condensable gases, which have the characteristics of being a solvent medium for SAGD. The concentration also meets the solvent requirements of expanding solvent-SAGD technology. The generated light oil components and gases are recycled in the steam chamber as a solvent medium for gravity drainage, thus improve both recovery efficiency and oil steam ratio.

Key words: heavy oil, in-situ upgrading, aquathermolysis, solvent, SAGD, numerical simulation

CLC Number: