MULTI-TECHNICAL ANALYSIS FOR THE CHARACTERIZATION OF HYDROCARBON RESERVOIR ROCKS

• Main Author: Nurfadeliah Bahraini, Fahrisah
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/67371
• Institution: Institut Teknologi Bandung

One technique that can be used to optimize oil extraction is the Enhanced Oil Recovery (EOR) technique. This technique requires information on how to characterize the hydrocarbon reservoir rocks in oil wells so that their utilization becomes more effective. Therefore, research related to the characterization analysis of hydrocarbon reservoir rocks was carried out with several methods, namely using Micro Computed Tomography (Micro-CT), X-Ray Diffraction (XRD), and Scanning Electron Microscope-Energy Dispersive X-ray (SEM-EDX). . The purpose of this study is to determine the factors behind the importance of characterization analysis, describe and relate the characterization methods used, and analyze the characterization and impact of the use of these multi-techniques. Information on the characterization of rocks that make up oil resource areas is useful in increasing the effectiveness of the oil extraction process. Micro-CT testing is used to obtain projected images and processed based on digital rock physics (DRP) analysis. The processing gives the value of porosity and permeability as the characteristics of the sample. XRD testing is used to obtain information related to the mineralogy of the sample through the calculation of the diffraction angle. The use of SEM-EDX will show the morphology of the clay mineral structure and the types of elements on the sample surface. These three techniques provide results that can mutually reinforce the analysis of the samples studied. It was found that sample 18 has a porosity value of >20%, composed of quartz grains with the surrounding dickite clay mineral, and the detected elements are C, O, Al, Si, and K. The permeability values obtained still have a large enough difference from laboratory-based measurement results due to differences in complexity detected. With the procedures developed, this multi-technical analysis is expected to be a complement to direct measurement techniques.