Sustainable Decommissioning of Offshore Platforms: a Proposal of Life-Cycle Cost-Benefit Analysis in ItalianOil and Gas Industry

The decommissioning of offshore Oil & Gas platforms, at the end of their life cycle, has been a very controversial topic in recent years. Moreover, the decommissioning complexity increases if we consider a shift towards a linear economy to a circular one. The latter pushes to innovate business models and re-configure the value chain activities in a sustainable way. Starting from these considerations, this work aims to identify a cost-benefit model suitable for evaluating sustainable business models of offshore platforms. After a literature review of different models for analysing maintenance and decommissioning Real Options (ROs), the Life-Cycle Cost-Benefit (LCCB) analysis has been selected as the most adequate managerial tool for evaluating and comparing the Net Present Value (NPV) of platforms compared the maintenance and decommissioning costs. The LCCB tool could aid the managers in the oil and gas industry to quantify the decommissioning and maintenance costs including capital expenditure (CapEx) and risk expenditure (RiskEx). In the future steps, to test the LCCB model, an empirical analysis could be carried out on a sample of organizations interested in the sustainable decommissioning of offshore platforms

An ecosystems perspective on the reconversion of offshore platforms: Towards a multi‐level governance

The decommissioning of offshore platforms has been increasingly discussed due to its economic, social, and environmental impacts. The high complexity of this multilevel context pushes for the adoption of a service ecosystem view to explore the value propositions and actors' relations involved in resource exchanges. This study follows a mixed-method approach based on semistructured interviews conducted with oil and gas stakeholders and content analysis of the secondary data collected. The results highlight the ecosystem elements and identify the main drivers for sustainable growth in the process of the reconversion of oil and gas assets. A “meta” level is theorized to investigate how the actors' purposes can be harmonized with an ecosystem's goal to encourage the diffusion of a sustainable-oriented culture in the context of offshore decommissioning. In this sense, the study provides several insights for researchers and professionals in both the local and national governance field and the oil and gas industry

The Role of Oil and Gas Offshore Platform Reconversion in Creating Artificial Reefs

In recent times, decommissioning of offshore platforms has become an even more discussed topic, for its relevant environmental, social, and economic repercussions. In particular, by carrying out economic considerations, all the divestiture possibilities applicable to an offshore platform and the relative sustainable business models (SBMs) will be analyzed in a wide framework of the circular economy and sustainable principles. In this scenario, sustainable decommissioning (SD) of offshore platforms process refers to multidimensional and interdisciplinary challenges, which requires a deep understanding of technical, legal, economic, financial, social, and environmental variables. The decommissioning of these structures is an issue that has gained a great deal of international attention and will require in the next years an open dialogue and exchange between institutions, oil and gas companies, enterprises, and the environment

big data management

The twenty-first century is characterized by the digital revolution, and this revolution is disrupting the way business decisions are made in every industry, be it healthcare, life sciences, finance, insurance, education, entertainment, retail, etc. The Digital Revolution, also known as the Third Industrial Revolution, started in the 1980s and sparked the advancement and evolution of technology from analog electronic and mechanical devices to the shape of technology in the form of machine learning and artificial intelligence today. Today, people across the world interact and share information in various forms such as content, images, or videos through various social media platforms such as Facebook, Twitter, LinkedIn, and YouTube. Also, the twenty-first century has witnessed the adoption of handheld devices and wearable devices at a rapid rate. The types of devices we use today, be it controllers or sensors that are used across various industrial applications or in the household or for personal usage, are generating data at an alarming rate. The huge amounts of data generated today are often termed big data. We have ushered in an age of big data-driven analytics where big data does not only drive decision-making for firms but also impacts the way we use services in our daily lives. A few statistics below help provide a perspective on how much data pervades our lives today

Analytical Marketing with Collective Perception

Social networks, forums and blogs are widely considered as a valuable source of information for many applications and in different domains. Being able to extract, analyze and use the knowledge, opinions and sentiments the users share on the Web can become a competitive advantage for any company or organization. Specifically, information about the feelings and the opinions of the users of a Web community with respect to a product or a service can be useful for marketing.  In this context, the concept of collective perception is gaining momentum as a way to process, evaluate and quantify the perception and the sentiment that a community of users share about a given phenomenon. In this work, we propose an approach, based on Fuzzy Logic and Sentiment Analysis techniques, which allows to evaluate, also in a quantitative manner, the collective perception of a Web community with respect to a specific product or service. Keywords: Collective Perception; Analytical Marketing; Fuzzy Logic; Sentiment Analysis