APPLICATION OF ANN-BASED DECISION MAKING PATTERN RECOGNITION TO FISHING OPERATIONS

M. Akhlaghinia, F. Torabi, R. Wilton

Abstract


Decision making is a crucial part of fishing operations. Proper decisions should be made to prevent wasted time and associated costs on unsuccessful operations. This paper presents a novel model to help drilling managers decide when to commence and when to quit a fishing operation. A decision making model based on Artificial Neural Network (ANN) has been developed that utilizes Pattern Recognition based on 181 fishing incidents from one of the most fish-prone fields of the southwest of Iran. All parameters chosen to train the ANN-Based Pattern Recognition Tool are assumed to play a role in the success of the fishing operation and are therefore used to decide whether a fishing operation should be performed or not. If the tool deems the operation suitable for consideration, a cost analysis of the fishing operation can then be performed to justify its overall cost.

Keywords


fishing operation, decision making, pattern recognition, Artificial Neural Network

Full Text:

PDF


DOI: http://dx.doi.org/10.5419/bjpg2010-0015