EVALUATION OF AVO METHOD, SIMULTANEOUS PRE-STACK INVERSION, AND SEISMIC ATTRIBUTES FOR GAS DISTRIBUTION AND FACIES IDENTIFICATION IN THE 990-1090 SANDSTONE RESERVOIR, KURNIAWAN FIELD, KUTAI BASIN

Fossil energy, one of which is oil and natural gas, remains dominant in the national energy mix. The availability of fossil fuel reserves is still a measure of a country's resilience. The problem in the field is the presence of thin hydrocarbon-filled layers that are difficult to identify. P...

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Bibliographic Details
Main Author: Kurniawan, Dicky
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/75366
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Fossil energy, one of which is oil and natural gas, remains dominant in the national energy mix. The availability of fossil fuel reserves is still a measure of a country's resilience. The problem in the field is the presence of thin hydrocarbon-filled layers that are difficult to identify. Previous research has found geometries supporting the hydrocarbon potential, requiring a more detailed method analysis. The objective of this study is to evaluate AVO (Amplitude Variation with Offset), simultaneous prestack inversion, and seismic attributes to identify and map gas and depositional facies environments in the 990 to 1090 sandstone reservoir. 3D post-stack seismic data is used as input for facies analysis using seismic attribute methods, while 3D pre-stack data and seven well data are used for AVO and simultaneous pre-stack inversion analyses. The use of RMS Amplitude attributes can identify seismic facies in the depositional environment around the research target. There are 11 channels and 1 slope fan indicating hydrocarbon potential in the study area. Based on the AVO and Simultaneous Inversion crossplot results, it is identified that AVO method is less sensitive in distinguishing hydrocarbons from background trends, while sensitive crossplots can separate anomalies from background trends using simultaneous inversion methods. Intervals 990, 1010, and 1050 can be mapped for gas reservoir distribution based on the crossplot results. There are new potential gas reservoirs in these three intervals, while the target at 1090 cannot be identified due to low net pay and dominant water-filled shale.