METHOD OF FORECASTING PRODUCTION OF HEAVY OIL BY CYCLIC STEAM INJECTION PROCESS

Abstract

Abstract: Based on the characteristics of cyclic yield changes in production of a heavy oil reservoir by cyclic steam injection process, a self - adapting mixed regression model has been developed. This model is used to estimate the optimum parameters for heavy oil reservoir, fit and forecast yield by the process. Using it to fit and forecast the district D66 etc of Liaohe oil field, the satisfying results were obtained. The method possesses a guiding sinificance in drawing up a long - term plan of the heavy oil thermal recovery, annul plan and development program.

Key words: Heavy oil reservoir, Yield forecasting, Mixed regression model, Trend fitting, Wave analysis

Cheng Zhongping, Qu Aiying, Wang Kuanjing. METHOD OF FORECASTING PRODUCTION OF HEAVY OIL BY CYCLIC STEAM INJECTION PROCESS[J]. Xinjiang Petroleum Geology, 1994, 15(1): 81-86.

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METHOD OF FORECASTING PRODUCTION OF HEAVY OIL BY CYCLIC STEAM INJECTION PROCESS

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