火山岩油藏水平井体积压裂产能预测研究

doi:10.12108/yxyqc.20180318

岩性油气藏 ›› 2018, Vol. 30 ›› Issue (3): 159–164.doi: 10.12108/yxyqc.20180318

• 石油工程 • 上一篇

火山岩油藏水平井体积压裂产能预测研究

潘有军¹, 荆文波¹, 徐赢¹, 赵嗣君², 李继成¹, 陶登海³

1. 中国石油吐哈油田分公司勘探开发研究院, 新疆哈密 839009;
2. 中国地质大学(武汉)资源学院, 武汉 430074;
3. 中国石油吐哈油田分公司三塘湖采油厂, 新疆哈密 839009

收稿日期:2017-11-18 修回日期:2018-02-08 出版日期:2018-05-21 发布日期:2018-05-21
第一作者:潘有军(1984-),男,工程师,主要从事油藏开发方面的研究工作。地址:(839009)新疆哈密市石油基地勘探开发研究院。Email:yjypyj@petrochina.com.cn
基金资助:
中国石油重大科技专项“低品位储量资源有效开发技术研究”（编号：2012E-34-08）资助

Productivity prediction of horizontal wells by volume fracturing in volcanic reservoirs

PAN Youjun¹, JING Wenbo¹, XU Ying¹, ZHAO Sijun², LI Jicheng¹, TAO Denghai³

1. Research Institute of Exploration and Development, PetroChina Tuha Oilfield Company, Hami 839009, Xinjiang, China;
2. Faculty of Earth Resources, China University of Geosciences, Wuhan 430074, China;
3. Santanghu Oil Production Plant, PetroChina Tuha Oilfield Company, Hami 839009, Xinjiang, China

Received:2017-11-18 Revised:2018-02-08 Online:2018-05-21 Published:2018-05-21

摘要/Abstract

摘要： 针对影响ND火山岩油藏水平井产能的主要因素不确定，以及常规的水平井产能计算公式预测产能偏高、误差大等问题，依据ND火山岩油藏水平井体积压裂地质、工程及动态数据，采用灰色关联分析法对体积压裂后初期产能的影响因素进行分析，并在此基础上，对单井产能进行归一化处理后，再应用灰色理论累加生成，进而采用多元线性回归法预测油井压裂后的初期产能。结果表明：影响体积压裂后初期产能的前4个因素依次为入井砂量、钻遇油层厚度、入井液量、压裂段数；经归一化处理后累加生成并结合多元线性回归预测体积压裂后的初期产能，比传统的直接多元线性回归法预测精度更高。此项研究为类似油藏的水平井产能预测提供了一种有效方法。

关键词: 成岩环境, 流体包裹体, 奥陶系, 碳酸盐岩, 塔里木盆地

Abstract: The main factors that affect the productivity of horizontal wells in ND volcanic reservoir are uncertain, and the conventional productivity calculation formulas for horizontal wells predict high productivity with large error. Based on the geological, engineering and dynamic data of volume fracturing of horizontal wells in ND volcanic reservoir, the influencing factors of initial productivity after volume fracturing were analyzed by grey correlation analysis. On this basis, normalized productivity of single well was accumulated by grey theory, and then multiple linear regression method was used to predict the initial productivity after fracturing. The results show that the first four factors influencing the initial productivity after volume fracturing are the amount of sand in the well,the drilling rate of the oil layer,the amount of the well fluid and the number of fracturing stage. After normalization,the initial productivity predicted by multiple linear regression after volume fracturing is more accurate than that predicted by traditional direct multiple linear regression method. This study provides an effective method for predicting productivity of horizontal wells in similar reservoirs.

Key words: diagenetic environment, fluid inelusion, Ordovician, carbonate rocks, Tarim Basin

中图分类号:

TE349

潘有军, 荆文波, 徐赢, 赵嗣君, 李继成, 陶登海. 火山岩油藏水平井体积压裂产能预测研究[J]. 岩性油气藏, 2018, 30(3): 159–164.

PAN Youjun, JING Wenbo, XU Ying, ZHAO Sijun, LI Jicheng, TAO Denghai. Productivity prediction of horizontal wells by volume fracturing in volcanic reservoirs[J]. Lithologic Reservoirs, 2018, 30(3): 159–164.

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火山岩油藏水平井体积压裂产能预测研究

Productivity prediction of horizontal wells by volume fracturing in volcanic reservoirs

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