scholarly journals Peer Review #2 of "Metabarcoding monitoring analysis: the pros and cons of using co-extracted environmental DNA and RNA data to assess offshore oil production impacts on benthic communities (v0.1)"

2017 ◽  
Keyword(s):  
Peer Review ◽  
Benthic Communities ◽  
Oil Production ◽  
Environmental Dna ◽  
Dna And Rna ◽  
Offshore Oil Production ◽  
Pros And Cons ◽  
Offshore Oil

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.

Stability solver for offshore oil production systems

2018 ◽  
Vol 171 ◽  
pp. 993-1006 ◽  
Author(s):  
Ivanilto Andreolli ◽  
Gabriel Romualdo de Azevedo ◽  
Jorge Luis Baliño
Keyword(s):  
Production Systems ◽  
Oil Production ◽  
Offshore Oil Production ◽  
Offshore Oil
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