Soft computing for qualitative and quantitative seismic object and reservoir property prediction Part 3, Evolutionary computing and other aspects of soft computing

摘要

This is the third part of the series of review papers on soft computing applications in the petroleum industry. In this paper we will focus on evolutionary computing, with related topics such GA (genetic algorithms), genetic engineering, genome, DNA, artificial life and emergence intelligence. We will begin with a brief overview of evolutionary computing technology. We will also give an overview of GA in exploration and production (E&P). We will then highlight some recent applications of genetic algorithms in various aspects of hydrocarbon E&P. These include applications in production optimization, reservoir characterization, and permeability prediction. We will also propose a framework for the more effective use of GA (Genome) as well as likely applications of 'complexity theory' in seismic exploration.