Data Science and Business Intelligence Techniques for Learning from Environmental Accident Analysis for Offshore Oil Fields
- Rômulo Alves Loretti (Halliburton) | Vitor Felipe Pereira Da Costa (Halliburton) | Daniel Geraldo De Oliveira Memoria (Halliburton) | Andrezza Neves Barbosa (Independent Author) | Helton Luiz Santana Oliveira (Petrobras) | Issac Rafael Wegner (Petrobras) | Cristiano Andre Christmann Zank (Petrobras)
- Document ID
- Offshore Technology Conference
- Offshore Technology Conference Brasil, 29-31 October, Rio de Janeiro, Brazil
- Publication Date
- Document Type
- Conference Paper
- 2019. Offshore Technology Conference
- Environment, HSE, BI, Analysis, Accident
- 3 in the last 30 days
- 97 since 2007
- Show more detail
- View rights & permissions
Incorporating data science and business intelligence (BI) techniques as a strategy and tool for improving and evolving process safety for the oil and gas industry is a no-return method that should provide extraordinary gains. The technology is a powerful and necessary partner for the oil industry to overcome the challenges of new frontiers for oil exploration and production. Additionally, this applies to the health, safety, and environmental segment of business because more challenging scenarios imply greater potential risks; therefore, access to information within the appropriate time, clearly, and consistently allows the longevity of business. Digital transformation, helped current activities supported by weak instruments (i.e., spreadsheets, e-mails, etc.) to migrate to a database structure that facilitated the understanding of their real situation within the appropriate time—at macro and micro levels—allowing adequate support for decision-making.
BI tools aided by data science techniques facilitate decision-making, often extracting productive information from content-rich texts. The combination of data science techniques with BI tools enables a full-blown experience for business analysts through new insights, background connections not yet discussed, more professional visualizations, and telling the same or a new story using more complete, and often complex, innovative questions and answers. Answering essential questions for process safety in the oil and gas industry when analyzing environmental accidents, atmospheric dispersions, emissions, leaks, and spills in a structured method (presenting graphically within the context of rigs), multiple views of the problem allow improved management of efforts, which reduces the number of cases. The same concept can be expanded to questions related to injuries, machinery and/or equipment damage, performance, etc.
|File Size||1 MB||Number of Pages||14|
Marostegam, G. 2019. A cultura de dados como fator determinante para o sucesso no digital. Digitalks.com.br, https://digitalks.com.br/artigos/a-cultura-de-dados-como-fator-determinante-para-o-sucesso-no-digital/ (accessed 25 June 2019).
Marsh. 2018. Marsh Report: The 100 Largest Losses 1978–2017. https://www.marsh.com/content/dam/marsh/Documents/PDF/UK-en/100-largest-losses.pdf> (accessed 20 May 2019).
Muniz, M.,Lima, G.,Caiado, R.et al. 2017. Bow Tie to Improve Risk Management of Natural Gas Pipelines. Process Safety Progress, 37 (2): 169–175. https://doi.org/10.1002/prs.11901.
Buzelin, L. and Lima, C. 2008. Innovative Methodology for Cleaning Pipes – Key to Environmental Protection. Presented at the SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production, Nice, France, 15–17 April. SPE-111612-MS. https://doi.org/10.2118/111612-MS.
Oliveira, A.,Oliveira, H.,Gomes, C.et al. 2019. Quantitative analysis of RFID’ publications from 2006 to 2016. International Journal of Information Management, 48: 185–192. https://doi.org/10.1016/j.ijinfomgt.2019.02.001
Rocha, M.,Lima, G.,Lameira, V.et al. 2012. Innovation as a Critical Success Factor: an Exploratory Study about the Partnership among University with Pharmaceutical Industry in Brazil. J. Technol. Manag. Innov, 7 (3): 148–160. https://doi.org/10.4067/S0718-27242012000300013.
Caiado, R.,Lima, G.,Gavião, L.et al. 2017. Sustainability Analysis in Electrical Energy Companies by Similarity Technique to Ideal Solution. IEEE Latin America Transactions, 15 (4): 675–681. https://doi.org/10.1109/TLA.2017.7896394.
Tableau. 2019. O que é business intelligence e por que isso é importante? https://www.tableau.com/pt-br/learn/articles/business-intelligence (accessed 25 June 2019).
Tech Target. 2019. What is data mining? SearchSQLServer.com, https://searchsqlserver.techtarget.com/definition/data-mining (accessed 25 June 2019).
Gartner. 2019. Gartner IT Glossary > Business Intelligence (BI). Gartner.com, https://www.gartner.com/it-glossary/business-intelligence-bi (accessed 23 Jun. 2019).
Goetten, V. 2016. Cinco passos para criar uma cultura orientada por dados. ECommerceBrasil.com, https://www.ecommercebrasil.com.br/artigos/cinco-passos-criar-cultura-dados/ (accessed 25 June 2019).