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Every year, hundreds of people have died and thousands have been injured because of insufficient management of well control at oil and gas drilling and production sites. Major causes which have been reported in previous studies included uncontrollable blowouts and failure of blowout preventers because of insufficient safety practices. These onshore and offshore blowout disasters not only harm the work force but also critically affect the environment and marine life. In this research paper, a detailed quantitative survey and qualitative risk assessments (RA) have been carried out for assessing the potentially hazardous activities associated with well control along with their appropriate controls and risk reduction factors and mitigating measures in Middle East and south East Asian countries.

The sequential explanatory research design has been adopted in this study. Whereas, descriptive statistical approach has been used for the quantitative data analysis of this study. While, in-depth interview approach has been used for qualitative data collection. Similarly, what-if analysis method has been adopted in this study for the identification of effective safety and health risk mitigating factors because it provides in-depth information from health and safety environment experts.

The cumulative quantitative results based on the response from Saudi Arabian drilling industry have indicated that the well control operation is highly hazardous then Malaysian and Pakistani oil and gas industries. Likewise, findings from what-if analysis approach demonstrate that the drilling crewmembers have repetitively faced life threatening hazards which occur (safety and chemical) during well control onshore and offshore operation because of oil base mud, confined space at site, pinch points and falling during working on blow out preventers. According to the overall result, respondents have highly recommended engineering and administrative hazard controlling factors as most suitable for the elimination of safety and chemical hazards during well control activities.

Besides, the developed methodological framework for the identification of suitable hazard controls can also be effectively used for potential hazards reorganization and identification of suitable hazard controls for other drilling and production industries and regions for accident prevention and safety and health management.

This is a first comparative research study which has been carried out in Malaysian, Saudi Arabian and Pakistani onshore and offshore oil and gas industries for well control health and safety management and reorganization of most effective hazards mitigating factors at drilling sites.

The increasing complexity of industrial systems is at the heart of the development of many fault diagnosis methods. The artificial neural networks (ANNs), which are part of these methods, are widely used in fault diagnosis due to their flexibility and diversification which makes them one of the most appropriate fault diagnosis methods. The purpose of this paper is to detect and locate in real time any parameter deviations that can affect the operation of the blowout preventer (BOP) system using ANNs.

The starting data are extracted from the tables of the HAZOP (HAZard and OPerability) method where the deviations of the parameters of normal BOP operating (pressure, flow, level and temperature) are associated with an initial rule base for establishing cause and effect of relationships between the causes of deviations and their consequences; these data are used as a database for the neural network. Three ANNs were used, the multi-layer perceptron network (MLPN), radial basis functions network (RBFN) and generalized regression neural networks (GRNN). These models were trained and tested, then, their comparative performances were presented. The respective performances of these models are highlighted following their application to the BOP system.

The performances of the models are evaluated using determination coefficient (R2), root mean square error (RMSE) and mean absolute error (MAE) statistics and time execution. The results of this study show that the RMSE, MAE and R2 values of the GRNN model are better than those corresponding to the RBFN and MLPN models. The GRNN model can be applied with better performance, to establish a diagnostic model that can detect and to identify the different causes of deviations in the parameters of the BOP system.

The performance of the trained network is found to be satisfactory for the real-time fault diagnosis. Therefore, future studies on modeling the BOP system with soft computing techniques can be concentrated on the ANNs. Consequently, with the use of these techniques, the performance of the BOP system can be ensured performing only a limited number of monitoring operations, thus saving engineering effort, time and funds.

Using the case of the Deepwater Horizon blowout in the Gulf of Mexico in 2010, I argue that the catastrophe was less an example of a low probability-high catastrophe event than an instance of socially produced risks and insecurities associated with deepwater oil and gas production during the neoliberal period after 1980. The disaster exposes the deadly intersection of the aggressive enclosure of a new technologically risky resource frontier (the deepwater continental shelf) with what I call a frontier of neoliberalized risk, a lethal product of cut-throat corporate cost-cutting, the collapse of government oversight and regulatory authority and the deepening financialization and securitization of the oil market. These two local pockets of socially produced risk and wrecklessness have come to exceed the capabilities of what passes as risk management and energy security. In this sense, the Deepwater Horizon disaster was produced by a set of structural conditions, a sort of rogue capitalism, not unlike those which precipitated the financial meltdown of 2008. The forms of accumulation unleashed in the Gulf of Mexico over three decades rendered a high-risk enterprise yet more risky, all the while accumulating insecurities and radical uncertainties which made the likelihood of a Deepwater Horizon type disaster highly overdetermined.

In this chapter, the post-disaster handling of the British Petroleum Oil Spill in the Gulf of Mexico is analyzed according to the concept of “Public Reserve.” Public Reserve extends the theory of privacy from the individual into the context of corporate behavior and environmental regulation and management by government. Secrecy is viewed as a form of privacy.

On May 27, 2020, a blowout occurred in Well No. 5 at Baghjan (Assam); the well, owned by Oil India Ltd., caught fire on June 9, 2020. For almost five and a half months, the company tried to douse the 200-foot high flame but failed to do so. Finally, on Day 173, Oil India Ltd succeeded in capping the well. Biswajit Roy, Director (Human Resources and Business Development), was tasked with investigating the nature and cause of the crisis. Roy pondered on the nature of the crisis: Had it been purely technical or stakeholder-induced? What had led to the chaotic condition? Could things have been done differently?

The recent oil spill disaster in the Gulf of Mexico as well as a multitude of other corporate scandals repeatedly draw attention to the importance of good corporate governance. This paper seeks to explain the possible reasons for violations of principles of good corporate governance in corporate practice.

The paper opens with a brief illustration of the Deepwater Horizon case by relating BP's corporate governance rules to its actual decision making in the context of offshore drilling in the Gulf of Mexico. The insights gained through this analysis are used to identify a basic precondition for the realization of good corporate governance in corporate practice.

This paper finds a link connecting the conflicts in the relationship between short‐ and long‐term interests of corporations and good corporate governance. Occasionally, deficits in the institutional environment foster the pursuit of quick wins through violations of corporate governance rules. To resolve the tension between short‐ and long‐term objectives, good institutions are required that provide incentives for sustainable behavior without endangering corporations' short‐term competitiveness. This is the starting point for global governance efforts.

On the basis of the analysis in the paper, new implications for business are derived with respect to the relationship between corporate and global governance.

The paper derives a theoretical framework that captures the relationship between corporate governance and global governance. This framework identifies an interplay between corporate and global governance that allows corporations to bring good corporate governance to life and thereby to invest in the conditions of their sustainable success.

Despite their salience as tools for understanding society–environment relationships, coupled natural and human (CNH) systems approaches have consistently failed to offer realistic pictures of the political processes that shape efforts to create sustainable societies. Engagement with William R. Freudenburg’s work on political inequalities in the regulation of natural resources and its incorporation into CNH work would address this source of weakness. Over the course of two decades, Freudenburg introduced a set of concepts that describe the political mechanisms through which politically powerful polluters prevent environmental policy reforms. Freudenburg and Gramling’s last book, about the Deepwater Horizon oil spill in the Gulf of Mexico, integrates Freudenburg’s political concepts into a CNH analysis and produces an explanation for the oil spill that is exceptional in its empirically accurate treatment of the role of political inequalities in shaping environmental outcomes. Future progress in CNH systems analyses hinges to a great degree on its ability to portray power dynamics in realistic ways. The Freudenburg–Gramling book on the Deepwater Horizon oil spill shows us how to do so. It represents an intellectual legacy which Bill Freudenburg would have been proud of.

The case deals with comparison of two events namely Bhopal Gas Tragedy and BP Oil Spill Tragedy. Specifically, the case compares the negotiation process and its outcome. In other words, the case compares how negotiation was carried out on behalf of victims of these tragedies and resulted in optimal outcomes in one situation and sub-optimal outcomes in another situation. It case also provides insights into cross-cultural issues in negotiation process as one of the events took place in emerging economy (India) and other one in a developed economy (USA). The case gives insight for individuals on how handle communication process during the course of negotiation.

The purpose of this paper is to explore the use of deceit as a business strategy. There is ample evidence in the mainstream media of deceitful strategies in business, yet there is a lack of discovery of deceit as a strategic tool in the mainstream literature.

This is a conceptual paper that first explains deceit and interprets the use of deceit as strategic tool in business using case vignettes as evidence. The paper puts forth a convincing case that there is enough evidence to substantiate our proposition that deceit is indeed part of the repertoire of tools utilised by some businesses.

The value of this paper is that it highlights why deceit is used strategically to achieve profit motives of businesses.

This paper attempts to fill a gap that exists in the extant literature and would especially benefit management practitioners and business academics in appreciating the use of deceit as a business strategy.