Following a series of laboratory imbibition cell experiments, field tests were conducted to determine the effectiveness of surfactant soak treatments as a single well EOR technique. The tests were conducted in the dolomite interval of the Phosphoria formation. Artificial intelligence was applied to analyze the mixed test results. The analysis suggested that the gamma ray log can be used to predict results and that a minimum amount of surfactant is required to improve production.

Keywords:
application, neural network, oil recovery, perforated interval, standard deviation, gamma ray log, concentration, incremental oil, spe 89457, fuzzy curve
Subjects:
Improved and Enhanced Recovery, Formation Evaluation & Management, Information Management and Systems, Artificial intelligence
Copyright 2004, Society of Petroleum Engineers
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