In this paper, the goal is to optimize a petroleum production area consisting of several fields. This domain has great potential for using decision support tools to improve economical performance. In many of the mature petroleum areas, the potential for new development mainly includes smaller fields. Hence, strategic planning of the new development projects becomes increasingly important since smaller fields require more extensive planning to ensure profitability. The planning process for strategic investment decisions and production levels is today based on manual scenario analysis, a process that is both complex and time consuming. The intention of the decision support tool presented is to improve the efficiency of the concept study and give the planners a better basis for making their long term decisions.

Keywords:
artificial intelligence, gas monetization, decision support system, lng, liquified natural gas, upstream oil & gas, risk management, spe 148861, sleipner, production level
Subjects:
Natural Gas Conversion and Storage, Risk Management and Decision-Making, Information Management and Systems, Liquified natural gas (LNG), Decision-making processes
Copyright 2012, Society of Petroleum Engineers
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