FUZZY LOGIC METHOD FOR CALCULATING RESERVOIR ROCK PERMEABILITY USING LOG, CORE AND CT SCAN DATA

• Main Author: Auliya Haq, Dyna
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/86813
• Institution: Institut Teknologi Bandung

Permeability and porosity are important parameters in determining the hydrocarbon zone. In the construction of large reservoirs, production depends on permeability. The main objective of this research is to predict porosity and permeability values using the fuzzy logic method. Determination of porosity is carried out using core data from two tubes, the output is CT Scan porosity and is used as a parameter in fuzzy logic permeability calculations. Next, the porosity log is calculated by carrying out petrophysical analysis in the form of calculating the distribution of shale content, effective porosity and air saturation. Then the results of the CT Scan, Core and Log porosity comparison results are used. Calculating permeability using the fuzzy logic method requires log parameters such as Gamma Ray, NPHI, RHOB, DT, CT Scan Porosity and CT Number. The measured CT Scan porosity is the result of plotting the CT Number at several desired radii. It can be seen from the data that the fuzzy permeability calculation results approach a gradient of one value with R2 >0.6. The fuzzy permeability calculation results must be more than 60 percent compared to the core permeability. This calculation shows that the permeability in this zone is classified as moderate. good enough for exploration.