How artificial intelligence impacts E P productivity

TLDR: Since artificial intelligence techniques became aligned with conventional computer hardware architectures in the middle 1980s, economical applications to E P needs have become available and all four have evolved such that practical applications have been produced.

Abstract: Since artificial intelligence (AI) techniques became aligned with conventional computer hardware architectures in the middle 1980s, economical applications to E P needs have become available. Expert systems, fuzzy logic systems, neural networks and genetic algorithms are four AI technologies having a major impact in the petroleum industry. At present, these technologies are at different stages of maturity. Expert systems are the most mature, and genetic algorithms the least. However, all four have evolved such that practical applications have been produced. Further progress in applying AI to the petroleum industry will come through combining two or more of these techniques. In addition, other AI techniques such as case-based reasoning and database mining continue to be introduced. An introduction to these techniques and a look at their current practical applications is presented.