石油学报 ›› 2016, Vol. 37 ›› Issue (11): 1410-1413.DOI: 10.7623/syxb201611009

• 油田开发 • 上一篇    下一篇

广义递减模型的建立及应用

陈元千, 唐玮   

  1. 中国石油勘探开发研究院 北京 100083
  • 收稿日期:2016-04-04 修回日期:2016-07-11 出版日期:2016-11-25 发布日期:2016-12-10
  • 通讯作者: 陈元千,男,1933年10月生,1952年考入清华大学石油工程系,1956年毕业于北京石油学院钻采系。中国石油勘探开发研究院教授级高级工程师,长期从事油藏工程、油气田开发和油气储量评估工作。
  • 作者简介:陈元千,男,1933年10月生,1952年考入清华大学石油工程系,1956年毕业于北京石油学院钻采系。中国石油勘探开发研究院教授级高级工程师,长期从事油藏工程、油气田开发和油气储量评估工作。

Establishment and application of generalized decline model

Chen Yuanqian, Tang Wei   

  1. PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China
  • Received:2016-04-04 Revised:2016-07-11 Online:2016-11-25 Published:2016-12-10

摘要:

对于已经进入产量递减阶段开发的油气田,产量递减法是预测油气田可采储量、剩余可采储量、产量和递减率的重要方法。基于广义的Arps指数递减、双曲递减和调和递减,结合陈氏线性递减模型,建立了广义递减模型。该模型可以用于油气田可采储量、剩余可采储量、产量和递减率的预测。递减因子m是判断和区分递减类型的重要参数。当m=2时为线性递减;当m=1时为指数递减;当0 <m <1时为双曲递减;当m=0时为调和递减。通过对五里湾1区、东河塘和法哈牛3个已开发油田的实际应用表明,所建立的广义递减模型实用有效。

关键词: 油气田, 广义递减模型, 可采储量, 剩余可采储量, 产量, 递减率, 预测

Abstract:

For developed oil and gas fields that have entered the production decline stage, production decline method is an important method to predict recoverable reserves, remaining recoverable reserves, production and decline rate of oil and gas fields. Based on the generalized Arps exponential decline, hyperbolic decline and harmonic decline and combined with the linear decline proposed by Chen, a generalized decline model was established. The model can be used in the prediction of recoverable reserves, remaining recoverable reserves, production and decline rate of oil and gas fields. The decrease factor m is an important parameter to judge and distinguish decline types. When m=2, it represents a linear decline; when m=1, it represents an exponential decline; when 0 < m < 1, it represents a hyperbolic decline; when m=0, it represents a harmonic decline. The practical application in three developed oil fields such as Wuliwan area 1, Donghetang and Fahaniu indicates that the established generalized model is practical and effective.

Key words: oil and gas field, generalized decline model, recoverable reserves, remaining recoverable reserves, production, decline rate, prediction

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