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8754786 
Meetings & Symposia 
Using decision algorithm to optimise development of a gas field with limited subsurface data 
Cyril, O; Peter, O; Ebufegha, A 
2014 
Society of Petroleum Engineers 
2 
1306-1311 
English 
Evaluation of hydrocarbon recoveries from a field with limited geological, engineering, and geophysical data has a huge amount of uncertainty for each possible outcome. Understanding the implications probability of success (POS) of the sequence of events, can help managers make informed decisions on a field development strategy using a decision tree. A decision tree, is a decision support graphical representation that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. This, if effectively used can assist in making difficult decisions by reducing them to a series of simpler or less emotionally laden, choices. This paper details, the results of the use of a Decision Algorithm for the optimization of a gas field development strategy with only one well drilled and no production data. The optimization was carried out following the re-interpretation of the seismic and well data, which resulted in a significant change in the structure and subsequent update in the static and dynamic characterization of the hydrocarbon bearing reservoirs. Copyright 2014, Society of Petroleum Engineers.