›› 2017, Vol. 38 ›› Issue (2): 1-1.doi: 10.7657/XJPG20170220

   

A New Method to Fast Forecast Layered Production Indexes in Waterflooding Wells

DONG Chi1, SONG Kaoping1, SHI Chengfang2, ZHU Menggao3, CUI Xiaona1, LIU Zhu1   

  1. (1. Northeast Petroleum University, a. School of Petroleum Engineering, b. Key Laboratory of Enhanced Oil and Gas Recovery, Daqing, Heilongjiang 163318, China; 2. Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China; 3. Binnan Oil Production Plant, Shengli Oilfield Company, Sinopec, Binzhou, Shandong 256600, China)
  • Online:2019-01-01 Published:1905-07-14

Abstract: As the matured waterflooding oilfields in China are mostly at high/ultra-high water cut stages, and plane and interlayer conflicts become more serious, remaining oil distribution is highly dispersed and economic and efficient production becomes more and more difficult. In order to meet the requirements to identify preferential flow paths quickly and accurately and to control the ineffective and low effective circulation for oilfields, this paper puts forward a new method to fast forecast layered production indexes for individual wells based on the conventional numerical simulation technology and the method of water flooding curves. In this paper, 10 relative permeability curves of natural cores selected by Daqing oilfield are studied, it is found that the recovery percent of reserves and water-oil ratio exhibit a good linear relation in semi-log coordinate system with the correlation coefficient greater than 0.99. Based on this, the functional relationship among the slope and intercept of the expression and permeability is calculated by using parameter regression, and then the relationship between recovery percent of reserves and water cut (or water fractional flow) under various permeability is obtained. Combining single well production split with the above formula, the paper establishes a new forecasting model of layered production indexes for individual wells, and simultaneously proposes a production correction method using actual production data. Compared with the calculation results obtained from Eclipse numerical simulation software, the maximum error between the waterflooding recovery factors obtained from the 2 methods is 2.72%. The calculation results of the dynamic index of the actual production block shows that the method is simple and easy to learn, which can forecast the layered production indexes of water flooding reservoirs efficiently and accurately, and can solve the problems such as time-consuming, complex computation and human intervention in previous forecast methods

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