A robust method for determining the optimum horizontal well direction and length for a petroleum field development using genetic algorithm

Author(s):  
Tutuka Ariadji ◽  
Prasandi Abdul Aziz ◽  
Edy Soewono ◽  
Anas Asy Syifa ◽  
Lala Septem Riza ◽  
...  
2007 ◽  
Author(s):  
Ken E.T. Halward ◽  
Joe Emery ◽  
Rod Christensen ◽  
Daniel Joseph Bourgeois ◽  
Grant Skinner ◽  
...  

2021 ◽  
Vol 10 ◽  
pp. 17-32
Author(s):  
Guido Fava ◽  
Việt Anh Đinh

The most advanced technique to evaluate different solutions proposed for a field development plan consists of building a numerical model to simulate the production performance of each alternative. Fields covering hundreds of square kilometres frequently require a large number of wells. There are studies and software concerning optimal planning of vertical wells for the development of a field. However, only few studies cover planning of a large number of horizontal wells seeking full population on a regular pattern. One of the criteria for horizontal well planning is selecting the well positions that have the best reservoir properties and certain standoffs from oil/water contact. The wells are then ranked according to their performances. Other criteria include the geometry and spacing of the wells. Placing hundreds of well individually according to these criteria is highly time consuming and can become impossible under time restraints. A method for planning a large number of horizontal wells in a regular pattern in a simulation model significantly reduces the time required for a reservoir production forecast using simulation software. The proposed method is implemented by a computer script and takes into account not only the aforementioned criteria, but also new well requirements concerning existing wells, development area boundaries, and reservoir geological structure features. Some of the conclusions drawn from a study on this method are (1) the new method saves a significant amount of working hours and avoids human errors, especially when many development scenarios need to be considered; (2) a large reservoir with hundreds of wells may have infinite possible solutions, and this approach has the aim of giving the most significant one; and (3) a horizontal well planning module would be a useful tool for commercial simulation software to ease engineers' tasks.


2017 ◽  
Vol 94 ◽  
pp. 227-239 ◽  
Author(s):  
Prithvi Thakur ◽  
Deepak C. Srivastava ◽  
Pravin K. Gupta

Author(s):  
Grzegorz Mazerski

An efficient concept design of FPSO is supported by a wide variety of tools and methods. Some use parametric solutions for a variety of projects, while others deal with project-specific issues. One of the early challenges is to establish main dimensions of the “buoyancy element” for Floating Production System. The size should provide appropriate load-carrying capacity at minimum cost within limits of a given field development project. Since the financial implications of the hull size are significant, the choice should be made by means of a proper engineering study. One of the most promising approaches to this task is to utilize Multi Objective Genetic Algorithm (MOGA) for optimization of main particulars. A method was developed that aims at finding optimum main dimensions of the FPSO unit of given storage capacity with respect to steel weight and strength. This was achieved by utilizing MOGA optimization tool available in NAPA stability software package. The paper presents procedures, challenges and samples of results of such studies. The method was recently utilized in two different FPSO concept projects. First comments and conclusions that were drawn from the results of the procedure will be presented. Some ideas for future development will also be given.


2015 ◽  
Author(s):  
S. Rajput ◽  
M. Xinjun ◽  
A. Bal ◽  
K. Rahman ◽  
W. Junwen

Author(s):  
Ali Mostafa Anwar ◽  
Saif M. Khodary ◽  
Mohamed Soudy ◽  
Eman Ali Ahmed ◽  
Aya Osama ◽  
...  

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