Forecasting multiphase flowing bottom-hole pressure of vertical oil wells using three machine learning techniques (vol 6, pg 417, 2021)

被引：0

作者：

Sami, Nagham Amer ^{[1
]}

Ibrahim, Dhorgham Skban ^{[1
,2
]}

机构：

[1] Univ Miskolc, Petr & Nat Gas Inst, Fac Earth Sci & Engn, H-3515 Egyetemvaros, Hungary

[2] Univ Baghdad, Dept Petr Engn, Coll Engn, Baghdad 10071, Iraq

来源：

PETROLEUM RESEARCH | 2023年 / 8卷 / 02期

关键词：

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

引用

页码：284 / 284

页数：1

共 7 条

[1] Forecasting multiphase flowing bottom-hole pressure of vertical oil wells using three machine learning techniques
Nagham Amer Sami
Dhorgham Skban Ibrahim
Petroleum Research, 2021, (04) : 417 - 422
[2] Forecasting multiphase flowing bottom-hole pressure of vertical oil wells using three machine learning techniques
Sami N.A.
Ibrahim D.S.
Petroleum Research, 2021, 6 (04): : 417 - 422
[3] Real-time prognosis of flowing bottom-hole pressure in a vertical well for a multiphase flow using computational intelligence techniques
Tariq, Zeeshan
Mahmoud, Mohamed
Abdulraheem, Abdulazeez
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY, 2020, 10 (04) : 1411 - 1428
[4] Real-time prognosis of flowing bottom-hole pressure in a vertical well for a multiphase flow using computational intelligence techniques
Zeeshan Tariq
Mohamed Mahmoud
Abdulazeez Abdulraheem
Journal of Petroleum Exploration and Production Technology, 2020, 10 : 1411 - 1428
[5] A machine learning-based predictive model for real-time monitoring of flowing bottom-hole pressure of gas wells
Rathnayake, Suren
Rajora, Abhishek
Firouzi, Mahshid
FUEL, 2022, 317
[6] Machine learning models to predict bottom hole pressure in multi-phase flow in vertical oil production wells
Ahmadi, Mohammad Ali
Chen, Zhangxin
CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2019, 97 (11): : 2928 - 2940
[7] Operational method for determining bottom hole pressure in mechanized oil producing wells, based on the application of multivariate regression analysis (vol 6, pg 351, 2021)
Ponomareva, Inna N.
PETROLEUM RESEARCH, 2023, 8 (02) : 283 - 284

← 1 →