EGU26-1481, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-1481
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Monday, 04 May, 10:45–12:30 (CEST), Display time Monday, 04 May, 08:30–12:30
 
Hall X4, X4.9
Dynamic Optimization Control of Injection-Production Parameters for Oil Shale Self-Heating In-Situ Conversion
Chaofan Zhu, Qiang Li, Sunhua Deng, Fengtian Bai, and Wei Guo
Chaofan Zhu et al.
  • Jilin University, College of Civil Engineering and Architecture, China (chaofan_zhu@jlu.edu.cn)

Oil shale self-heating in-situ conversion technology has emerged as a significant development direction due to its environmental friendliness and cost advantages. However, conventional constant injection-production parameters often lead to inefficient compression energy input and formation oxidation losses, limiting further improvement in energy return ratio (ERR) and oil yield. This study establishes a dynamic optimization model for injection-production parameters in oil shale self-heating in-situ extraction and develops a method for dynamically regulating gas injection rate and oxygen content to enhance process economy and feasibility.Results indicate that under the optimal gas injection parameters (adjustment duration: 120 days, decay rate: 1200, final flow rate: 40 m³/day), the steady-state phase in late production reduces compression energy consumption by 90% and CO₂ production by 48%, significantly decreasing cumulative compression energy input and suppressing hydrocarbon oxidation losses. Consequently, the peak ERR reaches 13.87, representing a 132.33% improvement over constant-rate injection, while oil production increases to 47 m³/m, a 66.9% enhancement. Furthermore, synergistic regulation of oxygen content and injection rate reduces compression energy by an additional 16%, elevating the peak ERR to 14.80—a 6.71% further increase—demonstrating technical feasibility for industrial application. These findings and key parameters provide theoretical and technical support for the large-scale implementation of oil shale self-heating in-situ conversion technology.

How to cite: Zhu, C., Li, Q., Deng, S., Bai, F., and Guo, W.: Dynamic Optimization Control of Injection-Production Parameters for Oil Shale Self-Heating In-Situ Conversion, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1481, https://doi.org/10.5194/egusphere-egu26-1481, 2026.