Online metering model and experiment for gas-liquid phase in oil production well based on nozzle pressure difference

2021 ◽  
Author(s):  
Yong Xiang ◽  
Xinming Zhao ◽  
Jianying Zhu ◽  
Qian Zhang ◽  
Jianwei Wang ◽  
...  
1998 ◽  
Vol 48 (3) ◽  
pp. 1007-1013 ◽  
Author(s):  
T. Lien ◽  
M. Madsen ◽  
F. A. Rainey ◽  
N.-K. Birkeland

2016 ◽  
Vol 52 (4) ◽  
pp. 360-368 ◽  
Author(s):  
Wittawat Ratanathavorn ◽  
Chonlawit Borwornwongpitak ◽  
Chanatip Samart ◽  
Prasert Reubroycharoen
Keyword(s):  

2020 ◽  
Vol 10 (8) ◽  
pp. 3673-3687
Author(s):  
Asekhame U. Yadua ◽  
Kazeem A. Lawal ◽  
Oluchukwu M. Okoh ◽  
Mathilda I. Ovuru ◽  
Stella I. Eyitayo ◽  
...  

Abstract Unstable well flow is detrimental to the technical and economic performances of an integrated production system. To mitigate this problem, it is imperative to understand the stability limits and predict the onset of unstable production of an oil well. Taking advantage of the phenomenon of slug flow and the onset of unstable equilibrium from inflow performance and vertical lift curves of a producing well, this paper presents a new method for evaluating the stability of an oil production well on the one hand and estimating its stable production limits in terms of wellhead flowing pressure and flow rate on the other hand. A novelty of this work is the introduction and quantitative characterization of three distinct stability phases in the performance of a production well. These phases are uniquely identified as stable, transition and unstable flows. Practical examples and field cases demonstrate the robustness of the new method. When compared against results from a commercial wellbore simulator for the same set of problems, the new method yields an average absolute deviation of 5.3%. Additional validation tests against a common, but more computationally demanding method of stability analysis yield satisfactory results. Several parametric tests conducted with the proposed model and method provide additional insights into some of the major factors that control well stability, highlighting scope for production optimization in practice. Overall, this work should find applications in the design and management of production wells.


2007 ◽  
Vol 2007 ◽  
pp. 1-15 ◽  
Author(s):  
Deni Saepudin ◽  
Edy Soewono ◽  
Kuntjoro Adji Sidarto ◽  
Agus Yodi Gunawan ◽  
Septoratno Siregar ◽  
...  

The main objective in oil production system using gas lift technique is to obtain the optimum gas injection rate which yields the maximum oil production rate. Relationship between gas injection rate and oil production rate is described by a continuous gas lift performance curve (GLPC). Obtaining the optimum gas injection rate is important because excessive gas injection will reduce production rate, and also increase the operation cost. In this paper, we discuss a mathematical model for gas lift technique and the characteristics of the GLPC for a production well, for which one phase (liquid) is flowing in the reservoir, and two phases (liquid and gas) in the tubing. It is shown that in certain physical condition the GLPC exists and is unique. Numerical computations indicate unimodal properties of the GLPC. It is also constructed here a numerical scheme based on genetic algorithm to compute the optimum oil production.


2016 ◽  
Vol 8 (6) ◽  
pp. 725-733 ◽  
Author(s):  
V. I. Darishchev ◽  
V. I. Kokorev ◽  
A. M. Polishchuk ◽  
O. V. Chubanov ◽  
S. E. Yakush

2017 ◽  
Vol 12 (2) ◽  
pp. 261
Author(s):  
Jiaming Zhang ◽  
Xiaodong Wu ◽  
Zhangxin Chen ◽  
Jingyao Wang ◽  
Zongxiao Ren

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