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Understanding the Estimation and Improvement of Recovery Rate for OilShale In situ Processing | OMICS International | Abstract
ISSN 2472-0518

Oil & Gas Research
Open Access

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Research Article

Understanding the Estimation and Improvement of Recovery Rate for OilShale In situ Processing

Wang Yiwei*, Su Jianzheng, Wang Youping, Meng Xiang Long and Ma Zhongliang

Petroleum Exploration and Production Research Institute of SINOPEC, Beijing 100083, China

*Corresponding Author:
Wang Yiwei
Petroleum Exploration and Production Research Institute of SINOPEC, Beijing, China
Tel: + 86-10-82312089
E-mail: [email protected]

Received Date: May 18, 2017; Accepted Date: May 25, 2017; Published Date: May 31, 2017

Citation: Yiwei W, Jianzheng S, Youping W, Long MX, Zhongliang M (2017) Understanding the Estimation and Improvement of Recovery Rate for Oil Shale in situ Processing. Oil Gas Res 3: 140. doi: 10.4172/2472-0518.1000140

Copyright: © 2017 Yiwei W, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Oil shale in situ processing research booms in recent years because it innovate the method of oil shale exploitation and enable to develop deep oil shale. But commercialization of oil shale in situ processing staggered due to uncertainty of recovery rate which closely related to profit. Considering amount of oil generated in situ and amount of oil flow to the surface during the oil shale in situ processing operation, this study analyse the recovery rate and effect factors based on experiments, the permeability and pressure variation under high temperature also were discussed. The result shows that recovery rate can be influenced by formation pressure, moisture content and heating rate. The total recovery rate is about 60.5% of Fischer Assay based on experiments. To improve the recovery rate, some measurement including gas injection, temperature optimization and stimulation were suggested

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