并购国外油田水平井产能快速准确预测方法

苗雅楠; 李相方; 周云健; 陈宇; 朱国金; 杨莉

doi:10.13639/j.odpt.2016.05.018

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并购国外油田水平井产能快速准确预测方法

苗雅楠, 李相方, 周云健, 陈宇, 朱国金, 杨莉

文章导航 > 石油钻采工艺 > 2016 > 38(5): 640-644

苗雅楠, 李相方, 周云健, 陈宇, 朱国金, 杨莉. 并购国外油田水平井产能快速准确预测方法[J]. 石油钻采工艺, 2016, 38(5): 640-644. doi: 10.13639/j.odpt.2016.05.018

引用本文:

苗雅楠, 李相方, 周云健, 陈宇, 朱国金, 杨莉. 并购国外油田水平井产能快速准确预测方法[J]. 石油钻采工艺, 2016, 38(5): 640-644. doi: 10.13639/j.odpt.2016.05.018

MIAO Yanan, LI Xiangfang, ZHOU Yunjian, CHEN Yu, ZHU Guojin, YANG Li. Fast and accurate prediction method about productivities of horizontal wells in merged overseas oilfields[J]. Oil Drilling & Production Technology, 2016, 38(5): 640-644. doi: 10.13639/j.odpt.2016.05.018

Citation:

MIAO Yanan, LI Xiangfang, ZHOU Yunjian, CHEN Yu, ZHU Guojin, YANG Li. Fast and accurate prediction method about productivities of horizontal wells in merged overseas oilfields[J]. Oil Drilling & Production Technology, 2016, 38(5): 640-644. doi: 10.13639/j.odpt.2016.05.018

并购国外油田水平井产能快速准确预测方法

doi: 10.13639/j.odpt.2016.05.018

1.
中国石油大学北京石油工程教育部重点实验室
2.
中海油研究总院开发研究院

详细信息

中图分类号: TE328

Fast and accurate prediction method about productivities of horizontal wells in merged overseas oilfields

1.
Key Laboratory of Petroleum Engineering Education Ministry, China University of Petroleum, Beijing 102249, China
2.
Development Research Institute of CNOOC Research Center, Beijing 100027, China

摘要: 国际合作并购油田过程中，由于常出现各项基础资料不完备问题，致使预测水平井产能一般误差较大，有时会导致并购效益产生差异。通过研究影响水平井产能预测的“四维性”因素，即产水、脱气、出砂等在储层空间及生产时间上对产能的影响，以Joshi 公式为基础，建立了生产过程初期、中后期不同开发阶段考虑脱气、出砂2 种导致相对渗透率剧烈变化因素下的油藏水平井产能模型，分析了不同井底流压下各因素对水平井产能的影响，并对单因素及多因素进行了量化评价。某海外并购油田某水平井产能计算表明，不同生产阶段，本文模型与水平井常用产能模型相比计算精度提高值达34.66%，验证了其可靠性。
- 国际油田并购 /
- 水平井 /
- 产能预测 /
- 产能影响因素 /
- 产能四维性特征 /
- 脱气 /
- 出砂
Abstract: Incomplete data in merged oilfields in international cooperation may lead to significant error in predicting productivities of horizontal wells. In extreme cases, such error may lead to big difference in economic performances during merging process. In the concerned study impacts of “four-dimensional” factors including water production, de-gassing, sand production, etc. for productivity prediction of horizontal wells were reviewed in reservoir space and time, then on the base of the Joshi Equation, the model for predicting the productivity of horizontal wells in different production stages was built with consideration of the effect of de-gassing and sand production on dramatic changes of relative permeability, and finally the impact of various factors on the productivity of horizontal wells at different bottom-hole flow pressures was clarified, and quantitative evaluation on the impact of individual and multiple factors was performed. The new model was used to determine the productivity of some horizontal wells in a merged overseas oilfield. Compared with the conventional model, the new model can enhance calculation accuracy for up to 34.66% in productivity prediction for horizontal wells. Reliability of the model has been verified through field applications.
- merged overseas oilfield /
- horizontal well /
- productivity prediction /
- productivity-affecting factor /
- four-dimensional features of productivity /
- de-gassing /
- sand production

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并购国外油田水平井产能快速准确预测方法

doi: 10.13639/j.odpt.2016.05.018

1. 中国石油大学北京石油工程教育部重点实验室

2. 中海油研究总院开发研究院

收稿日期: 2019-05-18
修回日期: 2019-05-18
刊出日期: 2016-11-08

中图分类号: TE328

关键词:

水平井 /

脱气 /

摘要: 国际合作并购油田过程中，由于常出现各项基础资料不完备问题，致使预测水平井产能一般误差较大，有时会导致并购效益产生差异。通过研究影响水平井产能预测的“四维性”因素，即产水、脱气、出砂等在储层空间及生产时间上对产能的影响，以Joshi 公式为基础，建立了生产过程初期、中后期不同开发阶段考虑脱气、出砂2 种导致相对渗透率剧烈变化因素下的油藏水平井产能模型，分析了不同井底流压下各因素对水平井产能的影响，并对单因素及多因素进行了量化评价。某海外并购油田某水平井产能计算表明，不同生产阶段，本文模型与水平井常用产能模型相比计算精度提高值达34.66%，验证了其可靠性。

English Abstract

Fast and accurate prediction method about productivities of horizontal wells in merged overseas oilfields

1. Key Laboratory of Petroleum Engineering Education Ministry, China University of Petroleum, Beijing 102249, China

2. Development Research Institute of CNOOC Research Center, Beijing 100027, China

Received Date: 2019-05-18
Rev Recd Date: 2019-05-18
Publish Date: 2016-11-08

Keywords:

merged overseas oilfield /
horizontal well /
productivity prediction /
productivity-affecting factor /
four-dimensional features of productivity /
de-gassing /
sand production

Abstract: Incomplete data in merged oilfields in international cooperation may lead to significant error in predicting productivities of horizontal wells. In extreme cases, such error may lead to big difference in economic performances during merging process. In the concerned study impacts of “four-dimensional” factors including water production, de-gassing, sand production, etc. for productivity prediction of horizontal wells were reviewed in reservoir space and time, then on the base of the Joshi Equation, the model for predicting the productivity of horizontal wells in different production stages was built with consideration of the effect of de-gassing and sand production on dramatic changes of relative permeability, and finally the impact of various factors on the productivity of horizontal wells at different bottom-hole flow pressures was clarified, and quantitative evaluation on the impact of individual and multiple factors was performed. The new model was used to determine the productivity of some horizontal wells in a merged overseas oilfield. Compared with the conventional model, the new model can enhance calculation accuracy for up to 34.66% in productivity prediction for horizontal wells. Reliability of the model has been verified through field applications.

苗雅楠, 李相方, 周云健, 陈宇, 朱国金, 杨莉. 并购国外油田水平井产能快速准确预测方法[J]. 石油钻采工艺, 2016, 38(5): 640-644. doi: 10.13639/j.odpt.2016.05.018

引用本文:

苗雅楠, 李相方, 周云健, 陈宇, 朱国金, 杨莉. 并购国外油田水平井产能快速准确预测方法[J]. 石油钻采工艺, 2016, 38(5): 640-644. doi: 10.13639/j.odpt.2016.05.018

Citation:

MIAO Yanan, LI Xiangfang, ZHOU Yunjian, CHEN Yu, ZHU Guojin, YANG Li. Fast and accurate prediction method about productivities of horizontal wells in merged overseas oilfields[J]. Oil Drilling & Production Technology, 2016, 38(5): 640-644. doi: 10.13639/j.odpt.2016.05.018