Sistem Cerdas Berbasis Fuzzy Untuk Menentukan Screening Criteria Pada Enhanced OIL Recovery Technologies
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Institusion
Universitas Islam Riau
Author
Lestari, Widya
Subject
QA76 Computer software
Datestamp
2022-03-17 10:25:30
Abstract :
According to Aladasani (2010) Improvement of Oil Recovery is currently focusing on research and development of appropriate methods of Enhaced Oil recovery in a field. Screening Criteria can be used as a guide or first step in implementing Enhanced Oil Recovery (EOR). If Screening Criteria is successful, the selection of the next step method is easier. This research tries to build an intelligent system that uses the Mamdani method in its application to make the work easier. In this study, the input criteria used were Nine (9) criteria and for the output criteria (EOR method) produced fourteen (14). The information entered in the system is in the form of Case study data and the information displayed in the system is the highest Screening Criteria calculated from 14 EOR methods. Testing accuracy of intelligent systems based on Mamdani fuzzy logic is 72%. Performance appraisal by completing the questionnaire by 86.9% so that it can be implemented.
According to Aladasani (2010) Improvement of Oil Recovery is currently focusing on research and development of appropriate methods of Enhaced Oil recovery in a field. Screening Criteria can be used as a guide or first step in implementing Enhanced Oil Recovery (EOR). If Screening Criteria is successful, the selection of the next step method is easier. This research tries to build an intelligent system that uses the Mamdani method in its application to make the work easier. In this study, the input criteria used were Nine (9) criteria and for the output criteria (EOR method) produced fourteen (14). The information entered in the system is in the form of Case study data and the information displayed in the system is the highest Screening Criteria calculated from 14 EOR methods. Testing accuracy of intelligent systems based on Mamdani fuzzy logic is 72%. Performance appraisal by completing the questionnaire by 86.9% so that it can be implemented.
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