Field Production Optimization Using Agent Based Simulation

Risk Free Analysis of Proposed Improvements

Downstream Oil & Gas
Production & Operation Technology
Upstream Oil & Gas


As the complexities of real life systems increase so has to increase our understanding of them. Issues that are regularly arising in oil and gas exploration, production and transportation industries must be optimized in order to achieve increase in productivity and efficiency. As the companies try to find ways to increase output and reduce the costs they go into the multitude of projects, which in turn can slow down or even interrupt the system before they go on track or are canceled. In order to avoid real life tests that can cost the companies enormous amounts of money, Agent Based Simulation modeling ensures effective change implementation by enabling analysis, optimization, and experimentation in an environment that can fully capture the details of operations in risk free environment, companies can implement and analyze changes without interruption in production, the problems and risks can be identified and addressed in the beginning of the project, before they appear in real life implementation. WHAT ARE THE GOALS? By attending this PetroDeep training course delegates will be able to make a substantial, positive impact on the Field Production Optimization best practices within their organization, more specifically: • Provide a step-by-step guide to Agent Based Simulation techniques and software available • Understand the ways to simulate entire processes and update them using real life data • Learn Agent-based, system dynamic, and discrete event modeling • Acquire the knowledge of AnyLogic simulation software for process analysis and optimization • Implementation of the optimum values of parameters in the production system • Get the hands-on examples already

Code Venue Fees ($) Dates
UP040 Dubai, U.A.E 4500 February 24, 2019 – February 28, 2019
UP040 London, U.K. 5500 July 7, 2019 – July 11, 2019
UP040 Muscat, Oman 4500 October 27, 2019 – October 31, 2019

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