This paper explains about the development of intelligent expert systems for health and safety environment (HSE) in different oil and gas and petroleum industries for hazard analysis and avoidance, to advise the user on the extent of particular health and safety risks  by using a detailed literature review and categorization of articles from last ten years with a keyword index and article abstract in order to investigate by what method and technique expert systems applications have been developed during this epoch. Five bibliographic databases covering a broad series of health and safety fields were searched in various manufacturing and oil and gas industries related researches. Twenty six met the study’s relevance criteria. Fifteen of these met the methodological quality standard, this article review and classifies expert system development by using these mentioned classifications expert system utilizing rule base inferences, expert system utilizing knowledge base inferences, expert system utilizing neural networks inferences, expert system utilizing fuzzy logic inferences, expert system utilizing case-based reasoning inferences, with their functions and applications for different research and problem domains in manufacturing industries. A key advantage of expert systems in Health and safety in hazard analysis and avoidance is delivery of domain-specific expertise to people who are not specialists and who therefore might not avoid those hazards without interactive guidance. Conclusion that can be made from this systematic review paper is that ES development and implementation techniques are growing to develop in pursuit of expertise orientation implying that ES application development is an issue derived area. Methodology studies may increase our understanding on this domain. Lastly, the power of ES applications includes possibility to change continually and obtain new awareness which makes ES an application of future implementation.