Data Drilling: Changing the Way the Oil and Gas Industry Manages Safety and Risk

Autor: Brian Caldwell, Jack Hinton
Rok vydání: 2015
Předmět:
Zdroj: All Days.
DOI: 10.2118/173497-ms
Popis: The oil and gas industry is renowned for its technological advances in the capture and use of data science to find and release new reserves of hydrocarbons to meet the world's ever increasing energy demands. Such uses of the scientific analysis of data and information have enabled hydrocarbons to remain the primary source of energy, worldwide. Data science unlocks patterns typically unseen in typically available information, thus allowing the industry to see hydrocarbons where previously they were not able to confirm their presence. Other industries that specialize in demographic analysis of data, like Google and Yahoo, use data science to see patterns in human interest, which they then make marketable by selling to manufacturers of goods to target increased sales. Baker Hughes has leveraged what it has been doing for years with data science in its Geoscience expertise, to more completely exploit hydrocarbon reserves; to now better exploit previously untapped revelations from safety incident data. Building on the work that Behavioral Science Technology undertook in 2011 with seven global companies (ExxonMobil, Potash Corp, Shell, BHP Billiton, Cargill, Archer Daniel Midland Company, and Maersk), in their publication “New Findings on Serious Injuries and Fatalities”; and, the further work that ExxonMobil has undertaking with their “Mining the Diamond” approach to safety data analysis, as first reported by Neil Duffin, President – ExxonMobil Development Company, at the 2012 Offshore Technology Conference, Baker Hughes has taken this approach farther. The use of data science applied to safety is revealing previously unseen trends in existing safety incident (near miss and where harm was caused) data. We call this application, “Data Drilling”. The results of Data Drilling are provocative, as they better guide the business to more clearly understand root cause, which precipitates more accurate intervention strategies and effective management of risk (in a high risk industry). Additionally, the products of Data Drilling present a clear and compelling picture of risk management to executives, enabling stronger safety leadership to their organizations. The results of four retrospective studies, of the industry's experience with Dropped Objects, Wellbore Placement During Drilling, Wireline Pressure Control Equipment, and Coil Tubing Operations, are used as examples of how Data Drilling unlocks meaningful root cause that better targets responsible HSE management. In each case, business leadership was presented with a more accurate assessment of risk than traditional oil and gas industry data trending techniques typically reveal. As a result, decisions to support program and process upgrades and capital expenditures for risk mitigating engineering controls are better made.
Databáze: OpenAIRE