Ryan Sulaiman, M. Aryono Adhi, Budi Eka Nurcahya

Seismic Interpretation Using RMS Amplitude and Envelope Attributes to Identify Hydrocarbon Prospects in the “CAT” Field, Central Sumatra Basin

Introduction

Seismic interpretation using rms amplitude and envelope attributes to identify hydrocarbon prospects in the “cat” field, central sumatra basin. Explore hydrocarbon prospects in CAT Field, Central Sumatra Basin, using RMS Amplitude & Envelope seismic attributes. Map sandstone reservoirs for oil production.

Abstract

To enhance oil production rates, optimising idle wells with reserve potential and continuing exploration efforts to discover new hydrocarbon resources are necessary. The CAT Field in the Central Sumatra Basin is one of Indonesia's prospective oil and gas-producing areas. This study aims to identify and map the distribution of sandstone reservoirs through 3D seismic data interpretation using RMS Amplitude and Envelope seismic attributes. The data used are secondary data from a reflection seismic survey processed at the Energy Study Centre. The interpretation stages include well-to-seismic tie, horizon picking, time structure mapping, and seismic attribute analysis. The interpretation results show that RMS Amplitude values in the Duri Formation range from 0.80 to 5.60, while in the Bekasap Formation, they range from 0.00 to 4.00. The Envelope attribute values in the Duri Formation range from 0.60 to 8.40, and from 0.50 to 6.00 in the Bekasap Formation. High attribute value zones are consistently detected around wells CAT_01, CAT_03, and northwest of CAT_02, corresponding to elevated topography based on the time structure map. These findings indicate potential hydrocarbon accumulation in the area, making it a prime target for field development and revitalisation. Seismic attribute interpretation offers an efficient exploration approach and supports future sustainable exploration efforts.

Review

This study presents a focused seismic interpretation aimed at identifying hydrocarbon prospects within the "CAT" Field, Central Sumatra Basin, a region of high significance for Indonesia's oil and gas production. The paper addresses a critical need for optimizing existing assets and exploring new resources to enhance oil production rates. The methodology, based on 3D seismic data and incorporating well-to-seismic tie, horizon picking, time structure mapping, and seismic attribute analysis, is standard and robust for such an investigation. The use of RMS Amplitude and Envelope attributes is particularly appropriate, as these are well-established techniques for highlighting lithological and fluid variations often associated with hydrocarbon accumulations. The interpretation results offer compelling evidence for potential hydrocarbon accumulation. Specifically, the study quantifies attribute ranges for both the Duri and Bekasap Formations, with RMS Amplitude values ranging from 0.80 to 5.60 in Duri and 0.00 to 4.00 in Bekasap, and Envelope attribute values from 0.60 to 8.40 in Duri and 0.50 to 6.00 in Bekasap. The consistent detection of high attribute value zones around specific wells (CAT_01, CAT_03) and northwest of CAT_02, correlating with elevated topography on the time structure map, provides a strong indication of structural and stratigraphic traps conducive to hydrocarbon presence. This correlation between attribute anomalies and structural highs significantly enhances the prospectivity of these identified areas. Overall, this study successfully demonstrates the utility of seismic attribute interpretation as an efficient exploration tool for field development and revitalization. The findings not only delineate promising targets within the "CAT" Field but also underscore the importance of integrating multiple interpretive techniques to de-risk exploration efforts. The identified zones represent prime targets for future detailed characterization and potential drilling, contributing directly to sustainable exploration and increased oil production in the Central Sumatra Basin. The work provides a clear and practical application of seismic data analysis to address pressing energy production challenges.

Full Text

Comments

You need to be logged in to post a comment.