Simulation Series
Volume 46, Issue 10, 2014, Pages 136-143
Summer Computer Simulation Conference, SCSC 2014, Part of the 2014 Summer Simulation
Multiconference, SummerSim 2014; Monterey; United States; 6 July 2014 through 10 July 2014;
Code 114781
Interactive depth first algorithm for oil
transportation emergency response
planning (Conference Paper)
Romanov, V. ,
Moskovoy, I. ,
Grigoryeva, K.
Russian Plekhanov University, Information Systems in Economics and Management
Department, Moscow, Russian Federation
View references (23)
Abstract
In the event of an oil spill, an essential element of responding effectively to any adverse
consequences is proper planning to define tasks, personnel, and resources necessary. The plan
should include coordination with appropriate local, municipal, territorial, regional and federal
departments, and include ground and air transportation, logistics support, spill reagent supply
and repair equipment delivery. The task of automated planning - based on the concepts and
principles of Artificial Intelligence (AI) - has become more urgent due to a dramatic rise in oil
leak events. The idea of automated planning is not new. It is based on 50 years of research in the
field, including predicate logic, situational calculus, dynamic and integer programming models
STRIPS [19], PDDL [22] languages apply. The challenge is especially urgent for the petroleum
and gas sectors of the Russian economy as the number of oil leaks has spiked to 28 thousand per
year.
Author keywords
Automated planning; Depth first search; Interactive algorithm; Oil spill; Pipeline rupture;
Restoring plans; Situation calculus
Indexed keywords
Engineering controlled terms: Air transportation; Algorithms; Artificial intelligence;
Automation; Calculations; Computer simulation; Gas industry; Integer programming; Oil shale;
Oil spills; Repair
Automated planning; Depth first search; Interactive algorithms; Pipeline rupture; Restoring
plans; Situation calculus
Engineering main heading: Petroleum transportation
ISSN: 07359276Source Type: Conference Proceeding Original language: English
Document Type: Conference Paper
Sponsors: Publisher: The Society for Modeling and Simulation International