Having characteristic deltaic sandstone with 72 multilayer reservoirs with 252 perforation history became more challenging when determining potential zone. It is challenging because most of all have already produced. Regarding low oil price, high success rate on evaluating potential zones are needed. Developing an artificial intelligent (AI) to evaluate performance of potential zone based on perforation history and log evaluation could increase its success rate.
Since log evaluation is used to determine potential zone, basic log evaluation parameter is used as input. There are also several zone characterizations to made AI more accurate such as; water zone, tight zone, and coal zone. Production history was used as an output and converted as 0–1. The output of this AI expected to predict cumulative production in one year in 0–1 index by iterated using Bournazel – Jeanson water breakthrough model to predict performance.
Artificial Intelligent has been implemented while determining workover program. There are eight workover programs that have been executed. All of them give an expected result based on artificial intelligent prediction. Three programs has been executed and produced more than a year. The production performance created by artificial intelligence are quite match within actual performance.
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