Author:
Bukka Sandeep Reddy,Lalam Nageswara,Bhatta Hari Datta,Wright Ruishu
Reference28 articles.
1. Risk identification of third-party damage on oil and gas pipelines through the Bayesian network
2. Risk Assessment of Pipeline on Third-Party Damage in Oil and Gas Industry with Bayesian Network and Game Theory;Cui,2017
3. Incidents, E.G.P., 9th Report of the European Gas Pipeline Incident Data Group (period 1970-2013). EGIG.
4. PHMSA, Pipeline Incident 20 Year Trends. Department of Transportation.
5. A surveillance system for urban buried pipeline subject to third-party threats based on fiber optic sensing and convolutional neural network