PENDEKATAN TRIGONOMETRI TERHADAP ATRIBUT PSEUDO-ELASTIC IMPEDANCE – LITHOLOGY DAN CURVED PSEUDO ELASTIC IMPEDANCE UNTUK KARAKTERISASI RESERVOIR PADA LAPANGAN ‘KANA’, FORMASI TAWUN, CEKUNGAN JAWA TIMUR UTARA

• Main Author: Castro, Chelsea
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/64130
• Institution: Institut Teknologi Bandung

North East Java Basin is the most complex back-arc basin and also one of the most wanted area for hydrocarbon in Indonesia. North East Java Basin is a host of various hydrocarbon reservoirs with different structures and facies, posing unique challenges in reservoir characterization in order to maximize its hydrocarbon potential. Therefore, information optimalization obtained from elastic parameters derived from seismic data to correspond with information from petrophysical parameters become crucial in minimalising uncertainties while identifying zone of interest that is a good quality reservoir that contains hydrocarbon. However, one of the pitfall post-inversion occurs when combining results of inversion and inference from well log data. There is difficulty in applying transformation since the elastic parameter data’s relationship differs with petrophysical parameters ones’. Elastic parameter results usually show linear relationship derived through regression, while petrophysical parameters exhibit a nonlinear trend. With that in mind, reservoir characterization is done utilizing curved-pseudo elastic impedance (CPEI) and pseudoelastic impedance – lithology (PEI-L). This reservoir characterization approach utilized petrophysical parameters that are going to be analyzed, which consist of porosity through PEI-L and water saturation through CPEI. CPEI and PEI-L attributes in this research is conducted in domain AI-V pVs. The creation of CPEI and PEI-L attributes is generated utilizing trigonometrical approximation and maximum correlation angle analysis in terms of the targeted petrophysical parameter. Corresponding petrophysical parameters and value of volume CPEI/PEI-L exhibit good correlation; with low water saturation associated with distribution of low CPEI values and highly porous rock associated with distribution of low PEI-L values. Analysis of CPEI and PEI-L distribution shows zone of interest possess reservoir characteristics as such: low anomaly of acoustic impedance, VpVs ratio, PEI-L, and CPEI values. Not only that, this reservoir characterization approach has successfully optimalize information obtained from elastic parameters post-inversion – shown with strong correspondence with information from petrophysical parameters. This fact pinpoints the potential good quality gas bearing sand reservoir area that can be referenced as future field development target