Soft Computing: Potentials and Applications in Oil Exploration

Abstract

Abstract-Mining and analysis of oil exploration data is becoming too complex and difficult to analyse using traditional methods. To solve this problem there is need to supplement these traditional methods with contemporary emerging techniques. Recent development in data accusation and analysis techniques begins to enhance the processes of mining and analysis of oil exploration data. Soft computing has the revolutionary effect of changing the way data is captured and utilised. It can be argued that soft computing is applicable in almost all real life problems, notably, application of soft computing in oil exploration. This paper reviews the recent applications of soft computing in oil exploration. Soft computing techniques such as artificial neural network, fuzzy logic, probabilistic reasoning, and Bayesian belief network will be highlighted. Processes that are used to enhance the efficiency of oil exploration data such as first arrival-picking, horizon picking and noise elimination will be discussed. Finally, it figures out some methods of pattern recognition, identification and prediction of oil exploration data.