STUDI PENGARUH TIPE PORI TERHADAP NILAI PERMEABILITAS PADA RESERVOIR KARBONAT MENGGUNAKAN METODE DIFFERENTIAL EFFECTIVE MEDIUM (DEM) & ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS)

• Main Author: Wardhana, Reza
• Format: Theses
• Language: Indonesia
• Subjects: Pertambangan dan operasi berkaitan
• Online Access: https://digilib.itb.ac.id/gdl/view/62764
• Institution: Institut Teknologi Bandung

The pore system in a carbonate reservoir is very complex compared to the pore system in clastic rocks. According to measurements of the velocity propagation of sonic waves in rocks, there are three types of carbonate pore classifications: Interparticle, Vugs and Crack. Due to the complexity of various pore types, kesalahans in reservoir calculation or interpretation might occur. It was making the characterization of the carbonate reservoir more challenging. Differential Effective Medium (DEM) is an elastic modulus modeling method that considers the heterogeneity of pores in the carbonate reservoir. This method adds pore-type inclusions gradually into the host material to the desired proportion of the material. In this research, elastic modulus modeling will be carried out by taking into account the pore complexity of the carbonate reservoir. Adaptive Neuro-Fuzzy Inference System will also be used in this study to predict the permeability value of the reservoir. The data from well logging measurements will be used as the input, and core data from laboratory measurements will be used as train data to validate the predicted results of permeability values in the well depths domain. So, the permeability value and pore type variations in the well depth domain will be obtained for further interpretation. Thus we can see which pore has a good permeability value in the carbonate reservoir. This kind of thing can also help the engineers to determine a good perforation zone in the well by considering the pores type in the carbonate reservoir and the permeability values that have been predicted before.