Publisher: Elsevier NOTICE: this is the author's version of a work that was accepted for publication in Reliability Engineering & System Safety. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Reliability Engineering & System Safety, [167, (2017)]

Enhanced oil recovery (EOR) processes are well known for their efficiency in incrementing oil production; however, the selection of the most suitable method to adopt for specific field applications is challenging. Hence, this chapter presents an overview of different EOR techniques currently applied in oil fields, the opportunities associated with these techniques, key technological advancements to guide the decision-making process for optimum applicability and productivity and a brief review of field applications.

Oil spill pollution has remained a source of several international litigations in the Niger Delta region of Nigeria. In this paper, we examined the impacts of small recurrent crude oil spills on the physicochemical, microbial and hydrobiological properties of the Nun River, a primary source of drinking water, food and recreational activities for communities in the region. Samples were collected from six sampling points along the stretch of the lower Nun River over a 3-week period. Temperature, pH salinity, turbidity, total suspended solids, total dissolved solids, dissolved oxygen, phosphate, nitrate, heavy metals, BTEX, PAHs and microbial and plankton contents were assessed to ascertain the quality and level of deterioration of the river. The results obtained were compared with the baseline data from studies, national and international standards. The results of the physicochemical parameters indicated a significant deterioration of the river quality due to oil production activities. Turbidity, TDS, TSS, DO, conductivity and heavy metals (Cd, Cr, Cu, Pb, Ni and Zn) were in breach of the national and international limits for drinking water aquatic health. They were also significantly higher than the initial baseline conditions of the river. Also, there were noticeable changes in the phytoplankton, zooplankton and microbial diversities due to oil pollution across the sampling zones.

Objectives. Human factors have been identified as the most common causes of catastrophic accidents in the oil and gas industry. Therefore, this study aims to analyze human causal factors of accidents in the oil and gas industry using the human factors analysis and classification system for the oil and gas industry (HFACS-OGI) framework. Methods. This study involved quantitative data collection for 184 accident cases in the oil and gas industry that occurred from 2013 to 2017 from the International Association of Oil and Gas Producers (IOGP) database. The causal factors of these accidents were coded using the HFACS-OGI framework. Accident data were analyzed using descriptive statistics and the χ 2 test. Results. Study findings reveal that 23% of all accidents were recorded in 2013. Thirty-two percent of accidents occurred in Asia, while 69% of accidents were recorded in onshore locations. Contractors were involved in 86% of accidents, while 28% of accidents occurred during drilling, workover and well services. The contractor's work environment was the main human factor in 90% of accident cases. Conclusion. The HFACS-OGI framework proves to be a vital tool for robust accident analysis of human factors in the oil and gas industry.

Human factors and process safety management (PSM) have become key factors in preventing exposure to both hazardous materials and major accidents. Therefore, comprehensive process safety management is required to address all aspects of human factors. Currently, there are several‐process safety management models all of which have some weaknesses with respect to the control of human factors inherent in the process industry. Moreover, there is as yet no universally accepted process safety management model that treats process safety management as an integral part of the management system. Therefore, a need has arisen to integrate human factors and the existing frameworks and models into a single integrated management system to ensure a holistic approach of control and a continuous learning system. This article identifies the missing human factors in the current system and describes an integrated process safety management system (IPSMS) model drawn from screening all existing PSM frameworks, while integrating the Human Factors Analysis and Classification System (HFACS). The model, which adopts the PLAN, DO, CHECK, and ACT framework, also outlines an implementation strategy. We conclude that IPSMS provides both a theoretical and a practical framework with which to manage, measure and analyse process safety management systems. © 2017 American Institute of Chemical Engineers Process Process Saf Prog 37:67–85, 2018