Environmental Effects of Offshore Oil Production. The Buccaneer Gas and Oil Field Study.Brian S. Middleditch

1983 ◽  
Vol 58 (1) ◽  
pp. 110-111
Author(s):  
John M. Teal
Keyword(s):  
Environmental Effects ◽  
Oil Production ◽  
Oil Field ◽  
Offshore Oil Production ◽  
Offshore Oil

Durability Review of Elastomers for Severe Fluid Duties

2003 ◽  
Vol 76 (3) ◽  
pp. 719-746 ◽  
Author(s):  
Robert P. Campion
Keyword(s):  
Personal Experience ◽  
Residual Life ◽  
Oil Production ◽  
Oil Field ◽  
Offshore Oil Production ◽  
Offshore Oil

Abstract Durability aspects of elastomers when exposed to fluids under severe conditions for Offshore Oil Production and other applications have been reviewed. Examples are provided of situations where estimations of residual life might be made, and of others where different considerations might be the overriding factors. The approach has been to extend previously-presented overviews focused on the use of elastomers in the hostile conditions of the oil field industry, and made largely from personal experience, to include some work of others with reference to other application areas as well.

Optimization of well product pumpless transportation under offshore oil production conditions

2017 ◽  
pp. 140-142
Author(s):  
A.G. Akhmadeev ◽  
◽  
Pham Thanh Vinh ◽  
Bui Trong Han ◽  
Le Huu Toan ◽  
...  
Keyword(s):  
Oil Production ◽  
Offshore Oil Production ◽  
Offshore Oil ◽  
Production Conditions

scholarly journals A Lagrange Relaxation Based Decomposition Algorithm for Large-Scale Offshore Oil Production Planning Optimization

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1257
Author(s):  
Xiaoyong Gao ◽  
Yue Zhao ◽  
Yuhong Wang ◽  
Xin Zuo ◽  
Tao Chen
Keyword(s):  
Production Planning ◽  
Large Scale ◽  
Oil Production ◽  
Original Model ◽  
Decomposition Algorithm ◽  
Scale Model ◽  
Lagrange Relaxation ◽  
Planning Optimization ◽  
Offshore Oil Production ◽  
Offshore Oil

In this paper, a new Lagrange relaxation based decomposition algorithm for the integrated offshore oil production planning optimization is presented. In our previous study (Gao et al. Computers and Chemical Engineering, 2020, 133, 106674), a multiperiod mixed-integer nonlinear programming (MINLP) model considering both well operation and flow assurance simultaneously had been proposed. However, due to the large-scale nature of the problem, i.e., too many oil wells and long planning time cycle, the optimization problem makes it difficult to get a satisfactory solution in a reasonable time. As an effective method, Lagrange relaxation based decomposition algorithms can provide more compact bounds and thus result in a smaller duality gap. Specifically, Lagrange multiplier is introduced to relax coupling constraints of multi-batch units and thus some moderate scale sub-problems result. Moreover, dual problem is constructed for iteration. As a result, the original integrated large-scale model is decomposed into several single-batch subproblems and solved simultaneously by commercial solvers. Computational results show that the proposed method can reduce the solving time up to 43% or even more. Meanwhile, the planning results are close to those obtained by the original model. Moreover, the larger the problem size, the better the proposed LR algorithm is than the original model.

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