Short-term steady-state production optimization of offshore oil platforms: wells with dual completion (gas-lift and ESP) and flow assurance

Top ◽  
2021 ◽  
Author(s):  
Eduardo Rauh Müller ◽  
Eduardo Camponogara ◽  
Laio Oriel Seman ◽  
Eduardo Otte Hülse ◽  
Bruno Ferreira Vieira ◽  
...  
Top ◽  
2020 ◽  
Vol 28 (3) ◽  
pp. 549-574
Author(s):  
Carlos Gamboa ◽  
Thuener Silva ◽  
Davi Valladão ◽  
Bernardo K. Pagnoncelli ◽  
Tito Homem-de-Mello ◽  
...  

Author(s):  
Fernando I. Leal ◽  
Silvio de O. Junior

The objective of the following paper is to present a model for the artificial lifting mechanism known generally as gas-lift and a comparison between its correlates. The comparison between lifting mechanisms can be performed directly, through experiments, or indirectly, through computational simulation. It has been chosen to develop a closer to the state-of-the-art model for the gas-lift, in order to compare it with the results of the multiphase pump simulation contained in the bibliography and included in this paper. Initially a flow pattern has been established, so that the boundary conditions would be known and the control volume would be therefore established as well; in which the intrinsic equations of the flow could be applied. Then, simplifying and adequate hypothesis were formulated, and the geometry, of the high depth riser, in which the mechanism would be simulated, was created, these were inputted into a numerical simulation CFD software. Inputting these geometrical and fluid data along with several controlling equations in the CFX® 5.7 software demonstrated the behavior of the gas lift, both in the transient, as an illustration, and in the steady state flow, and permitted an evaluation and graphical analysis of relevant parameters of the gas lift mechanism. Finally a comparison, between the results obtained by the SMPS (Submarine Multiphase Pumping System) and the above has been performed, showing in which situations the mechanisms presented a higher performance in a real high depth offshore well located in the Campos Basin, Rio de Janeiro.


2018 ◽  
Author(s):  
Pedro Range ◽  
Rodrigo Riera ◽  
Mustafa Omerspahic ◽  
Jessica Bouwmeester ◽  
Steffen Sanvig Bach ◽  
...  

2021 ◽  
Author(s):  
Ignacio Pisso ◽  
Amy Foulds ◽  
Grant Allen

<p>Methane is a major greenhouse gas that has increased since the pre-industrial era and reducing its emissions is potentially an effective way of mitigating the radiative forcing in the short term. The oil & gas industry has a positive contribution to the global atmospheric methane budget with fugitive emissions from infrastructure installations such as offshore oil platforms. As part of the United Nations Climate and Clean Air Coalition (UN CCAC) objective to quantify global CH4 emissions from oil and gas facilities, a series of aircraft campaigns have been carried out in the Norwegian sea among other areas. We report on the Lagrangian modelling activity of the emissions and transport sensitivities used to support the flux assessment. Source identification has been carried out based on backward modelling and has proved useful to interpret observations form the in situ airborne platforms. In addition, forward modelling of the emission plume in high resolution has been applied to constraining the plume height for mass balance methods assessment. Dependency of the resulting uncertainty of the flux estimates on various factors such as the choice of the meteorology and the of the Lagrangian model parameters is also discussed.</p>


SPE Journal ◽  
2020 ◽  
pp. 1-21
Author(s):  
Gabriela Chaves ◽  
Danielle Monteiro ◽  
Maria Clara Duque ◽  
Virgílio Ferreira Filho ◽  
Juliana Baioco ◽  
...  

Summary Short-term production optimization is an essential activity in the oil/gasfield-development process because it allows for the maximization of field production by finding the optimal operational point. In the fields that use gas lift as an artificial-lift method, the gas-lift optimization is a short-term problem. This paper presents a stochastic approach to include uncertainties from production parameters in gas-lift optimization, called the uncertain-gas-lift-optimization problem (UGLOP). Uncertainties from production variables are originated from the measurement process and the intrinsic stochastic phenomena of the production activity. The production variables usually obtained from production tests play an important role in the optimization process because they are used to update reservoir and well models. To include the uncertainties, the strategy involves representing the well-test data using nonlinear regression [support-vector regression (SVR)] and using the Latin-hypercube-sampling (LHS) method. The optimization gives a stochastic solution for the operational point. In the solved problem, this operational point is composed of the individual wells’ gas-lift-injection rate, choke opening, and well/separator routing. The value of the stochastic solution is computed to evaluate the benefit of solving the stochastic problem over the deterministic. The developed methodology is applied to wells of a Brazilian field considering uncertainty in water-cut (WC) values. As a result, an up-to-4.5% gain in oil production is observed using this approach.


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