Optimal sea floor placement of the oil/gas production equipment

In the construction designing of oil field surface facilities, exists a problem of the seabed production equipment optimal placement. As an initial approximation, we can represent this task in the form of the linear Boolean programming problem. An application of routine methods of discrete programmi...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering Vol. 700; no. 1; pp. 12011 - 12020
Main Authors: Arsenyev-Obraztsov, S S, Ermolaev, A I, Kuvichko, A M
Format: Journal Article
Language:English
Published: Bristol IOP Publishing 01.11.2019
Subjects:
Algorithms
Boolean algebra
Linear programming
Ocean floor
Oil fields
Optimization
Placement
ISSN:1757-8981, 1757-899X
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In the construction designing of oil field surface facilities, exists a problem of the seabed production equipment optimal placement. As an initial approximation, we can represent this task in the form of the linear Boolean programming problem. An application of routine methods of discrete programming can theoretically give the desired solution. However, these methods do not take into account the specific nature of the problem. This problem belongs to the NP class. So we can run into significant computational difficulties. This situation is typical for construction of the ground surface or subsea located facilities for real oil/gas fields. To overcome it, we propose to replace a discrete programming model with a linear programming one, which takes into account problem-specific properties. Also, we present examples of the application of the proposed parallel optimization algorithms. Input data for them: the seabed profile, geometry, and space distribution of oil/gas reserves. Optimization problem objective function is the penalty for the irrational placement of seabed production equipment elements.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/700/1/012011