Horizontal Well Placement Optimization for Heavy Oil Production in Girasol Field

2010 ◽  
Author(s):  
Jaime Cuadros ◽  
Nicolas Ossa Duque ◽  
Guillermo Cuadros ◽  
Esteban Rojas
Keyword(s):  
Heavy Oil ◽  
Horizontal Well ◽  
Oil Production ◽  
Well Placement ◽  
Placement Optimization ◽  
Well Placement Optimization

Horizontal Well Placement for Heavy Oil Production in Colombia

2012 ◽  
Author(s):  
Jaime Cuadros ◽  
Andrey Salamanca ◽  
Nestor Raul Amado ◽  
Guillermo Cuadros ◽  
Esteban Rojas ◽  
...  
Keyword(s):  
Heavy Oil ◽  
Horizontal Well ◽  
Oil Production ◽  
Well Placement

Challenges for Horizontal Well Placement Optimization in a Giant Mature Onshore Oilfield, Abu Dhabi, U.A.E.

2010 ◽  
Author(s):  
Andrew Brampton S. Clark ◽  
Mohammad Eid Al Suwaidi ◽  
Amjad Elabed ◽  
Jeremy David Mead
Keyword(s):  
Horizontal Well ◽  
Abu Dhabi ◽  
Well Placement ◽  
Placement Optimization ◽  
Well Placement Optimization

scholarly journals A Modified Niching Crow Search Approach to Well Placement Optimization

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 857
Author(s):  
Jahedul Islam ◽  
Md Shokor A. Rahaman ◽  
Pandian M. Vasant ◽  
Berihun Mamo Negash ◽  
Ahshanul Hoqe ◽  
...  
Keyword(s):  
Optimization Problem ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Multimodal Optimization ◽  
Test Functions ◽  
Well Placement ◽  
Suggested Approach ◽  
Placement Optimization ◽  
Well Placement Optimization ◽  
Search Approach

Well placement optimization is considered a non-convex and highly multimodal optimization problem. In this article, a modified crow search algorithm is proposed to tackle the well placement optimization problem. This article proposes modifications based on local search and niching techniques in the crow search algorithm (CSA). At first, the suggested approach is verified by experimenting with the benchmark functions. For test functions, the results of the proposed approach demonstrated a higher convergence rate and a better solution. Again, the performance of the proposed technique is evaluated with well placement optimization problem and compared with particle swarm optimization (PSO), the Gravitational Search Algorithm (GSA), and the Crow search algorithm (CSA). The outcomes of the study revealed that the niching crow search algorithm is the most efficient and effective compared to the other techniques.

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