RESEARCH ARTICLE


New Methods for Predicting Productivity and Critical Production Rate of Horizontal Wells



Hong’en Dou*
RIPED, PetroChina, P.R. China.


Article Metrics

CrossRef Citations:
0
Total Statistics:

Full-Text HTML Views: 540
Abstract HTML Views: 645
PDF Downloads: 2
Total Views/Downloads: 1187
Unique Statistics:

Full-Text HTML Views: 336
Abstract HTML Views: 461
PDF Downloads: 2
Total Views/Downloads: 799



© 2008 Dou et al.;

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Correspondence: * Address correspondence to this author at the RIPED, PetroChina, P.R. China; E-mail: soupios@nshan.chania.teicrete.grdouhongen@petrochina.com.cn or soupios@nshan.chania.teicrete.grdohe@public.bta.net.cn


Abstract

Horizontal well technology is still applied widely in the world. Some researchers and oilfield operators of horizontal wells are still using improper productivity predicting equations and critical production rate calculations. Therefore, this paper analyzes some productivity forecast equations and critical coning rate calculation procedures for horizontal wells focusing on Joshi's equation of predicting productivity and Chaperon's equation of calculating critical coning rate used in reservoir engineering. This paper suggests that effective permeability should be used in calculating horizontal well productivity and points out an error existing in Joshi's equation. It also evaluates and introduces several equations for critical production rate. Furthermore, this paper derives two new equations for predicting horizontal well productivity and a general predictive equation for horizontal well critical coning rate, applying the Mirror Effect Theory. Field applications show that the relative error between generally accepted methods of prediction are less than 17% and the new calculation method is more accurate than that of Joshi’s equation. Moreover, using actual oilfield examples, the modified Chaperon's equation was verified.