多次幂指数型广义水驱特征曲线的建模和应用

doi:10.7623/syxb201703010

石油学报 ›› 2017, Vol. 38 ›› Issue (3): 333-341.DOI: 10.7623/syxb201703010

多次幂指数型广义水驱特征曲线的建模和应用

钟德康

大庆油田有限责任公司勘探开发研究院黑龙江大庆 163712

收稿日期:2016-02-15 修回日期:2016-12-01 出版日期:2017-03-25 发布日期:2017-04-07
通讯作者: 钟德康,男,1942年3月生,1966年毕业于西南石油学院采油工程专业,现为大庆油田有限责任公司勘探开发研究院高级工程师、曾被聘为中国管理科学研究院研究员,主要从事方案设计和油藏工程研究。Email:dqkang@sina.com
作者简介:钟德康,男,1942年3月生,1966年毕业于西南石油学院采油工程专业,现为大庆油田有限责任公司勘探开发研究院高级工程师、曾被聘为中国管理科学研究院研究员,主要从事方案设计和油藏工程研究。Email:dqkang@sina.com

Modeling and application of generalized water flooding characteristic curve based on multi-power exponent

Zhong Dekang

Research Institute of Petroleum Exploration and Development, Daqing Oilfield Company Limited, Heilongjiang Daqing 163712, China

Received:2016-02-15 Revised:2016-12-01 Online:2017-03-25 Published:2017-04-07

摘要/Abstract

摘要：

用演绎推导建立了时空自变量微分模型，结合油、水相对渗透率的实验统计分析，对多次幂指数型广义水驱特征曲线预测通式进行了系统深入的研究与应用。预测通式在机理方面揭示了半经验和半理论的统计特征，在应用方面具备了广义性和高效性。广义水驱特征曲线普遍适用于国内外各地质类型的油田和井区，用水驱特征指数快速判定曲线形态及函数类型，用前期开发资料预测可采储量，分析各类油田的水驱油效果和措施增产效果，为油田开发全过程的方案规划制定提供了科学依据，提高了油藏动态预测分析的工作效率。建立了一式多用的微分公式和预测通式，并对一、二类广义水驱特征曲线公式进行互换性研究，确定了水驱特征指数定义域，分析了多次幂指数函数类型特点，系统地研究了各种曲线形态的渗流机理，推导了提高预测精度的简易算法公式，方法具有一定实用性及理论价值。

关键词: 微分模型, 油水相对渗透率, 多次幂指数函数, 水驱特征指数, 渗流机理, 预测方法

Abstract:

In this study, the spatiotemporal independent variable differential model was created by deduction. In combination with the experimental statistical analysis of oil-water relative permeability, a systematical in-depth research was performed on the general prediction formula of generalized water-flooding characteristic curve based on multi-power exponent as well as its application. In terms of mechanism, the prediction formula revealed semi-empirical and semi-theoretical statistical characteristics; it also has broad and high-efficiency application. The generalized water-flooding characteristic curve is widely applicable in the domestic and foreign oil fields and well blocks of various geological types. Water-flooding characteristic index can be used to quickly determine the curve shape and function type; the early development data can be applied for predicting the recoverable reserves and analyzing the water flooding and stimulation effects for various types of oil field, which can provide a scientific basis for planning the whole process of oil field development and improving the reservoir dynamic analysis and prediction efficiency. In this study, the differential formula and general prediction formula are initially established and widely used. The interchange research was carried out on Type 1 and 2 generalized water-flooding characteristic curve formula to determine the water-flooding characteristic index domain, analyze the type characteristics of multi-power exponent function, systematically study the percolation mechanism of various curve, and derive a simple algorithm formula to improve prediction accuracy which has practical and theoretical significance.

Key words: differential model, oil-water relative permeability, multi-power exponent function, water flooding characteristic index, percolation mechanism, forecasting method

中图分类号:

TE34

钟德康. 多次幂指数型广义水驱特征曲线的建模和应用[J]. 石油学报, 2017, 38(3): 333-341.

Zhong Dekang. Modeling and application of generalized water flooding characteristic curve based on multi-power exponent[J]. Acta Petrolei Sinica, 2017, 38(3): 333-341.

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多次幂指数型广义水驱特征曲线的建模和应用

Modeling and application of generalized water flooding characteristic curve based on multi-power exponent

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